26 results on '"Dou, Chunxia"'
Search Results
2. Bi-level economic dispatch strategy for virtual power plants based on electric vehicles aggregation
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Guo, Jinrui, Dou, Chunxia, Zhang, Zhijun, and Yue, Dong
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- 2023
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3. Electricity load forecast considering search engine indices
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Wu, Xinyu, Dou, Chunxia, and Yue, Dong
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- 2021
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4. Practical fixed-time adaptive consensus control for a class of multi-agent systems with full state constraints and input delay
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Yao, Dajie, Dou, Chunxia, Zhao, Nan, and Zhang, Tingjun
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- 2021
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5. Event-triggered adaptive consensus tracking control for nonlinear switching multi-agent systems
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Yao, Dajie, Dou, Chunxia, Yue, Dong, Zhao, Nan, and Zhang, Tingjun
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- 2020
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6. An IGAP-RBFNN-based secondary control strategy for islanded microgrid-cyber physical system considering data uploading interruption problem
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Zhang, Bo, Dou, Chunxia, Zhang, Tengfei, and Zhang, Zhanqiang
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- 2020
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7. Optimization on vulnerability analysis and redundancy protection in interdependent networks
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Chen, Lei, Yue, Dong, and Dou, Chunxia
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- 2019
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8. Finite-time consensus control for a class of multi-agent systems with dead-zone input.
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Yao, Dajie, Dou, Chunxia, Zhao, Nan, and Zhang, Tingjun
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MULTIAGENT systems - Abstract
• The finite-time consensus control scheme for non-affine pure-feedback MASs is proposed for the first time in this note. • The proposed strategy can ensure that all agent's states convergent into a small scale of the origin in finite time. • The dead-zone input is first considered for non-affine pure-feedback MASs in finite-time stabilization. • The dead-zone input can be solved by the combination of a linear term and a interference-like term in this note. This paper investigates a finite-time consensus issue for non-affine pure-feedback multi-agent systems with dead-zone input. Compared with the existing results on multi-agent systems, finite-time consensus problem of non-affine multi-agent systems is proposed for the first time. Based on the backsteppting technique, adaptive finite-time consensus control scheme is presented. With the help of this strategy, adaptive virtual variables, adaptive laws and the actual controller are designed to guarantee that the consensus errors converge to a small scale of the origin in finite time. Finally, a practical example is applied to verify the feasibility of the proposed method. [ABSTRACT FROM AUTHOR]
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- 2021
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9. Security control of cyber–physical system based on switching approach for intermittent denial-of-service jamming attack.
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Ge, Hui, Yue, Dong, Xie, Xiangpeng, Dou, Chunxia, and Wang, Shuzheng
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CYBER physical systems ,STABILITY of nonlinear systems ,ROBUST control ,DENIAL of service attacks ,NONLINEAR systems - Abstract
In this study, the effects caused by intermittent denial-of-service jamming attack (I-DoS-JA) on different communication channels and communication topology transformations have been deeply analyzed. According to the analyzation, each different communication topology is taken as a subsystem of switching system. Based on switching system, finite-time nonlinear system robust stability conditions are derived. Both the theoretical deduction and example simulation have corroborated that this approach has special effective in resisting the intermittent DoS attack. • Unlike previous work, cyber-attack effects are considered from the viewpoint of transformations of the communication topology. • I-DoS-JA will cause the changes of communication topology, and all of the changes of the communication topology are modeled as a switching system. • In order to representative of CPS, nonlinear system is studied, and finite-time robust control conditions are derived, the actual meaning of this study is significant. [ABSTRACT FROM AUTHOR]
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- 2020
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10. Hierarchical control strategy for networked DC microgrid based on adaptive dynamic program and event-triggered consensus algorithm considering economy and actuator fault.
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Zhang, Bo, Dou, Chunxia, Yue, Dong, Zhang, Zhanqiang, and Zhang, Tengfei
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ALGORITHMS , *ACTUATORS , *POWER resources , *MICROGRIDS , *DATA transmission systems , *CYBER physical systems - Abstract
At present, the hierarchical control strategy which includes cyber and physical layers is one of the most widely used control strategies in networked direct current microgrid. In general, through the controller and actuator, the communication data in cyber layer can be used to accomplish the control missions in physical layer, e.g. achieving stable operation or economic operation etc. However, when actuator fault occurs in communication, the normal operation of cyber layer will be affected. Thus, the control effect of physical layer will be also affected. Considering with the above problems, a hierarchical control strategy based on adaptive dynamic program and event-triggered consensus algorithms is proposed to realize the economic operation of microgrid. In this strategy, the main designs are as follows: 1. To deal with the actuator fault problem in the process of consensus control, the fault observer and adaptive dynamic program-based controller are designed in the cyber layer; 2. Also in the cyber layer, an event-triggered consensus algorithm is proposed to adjust distributed energy resources to output their optimal power and make microgrid run economically; 3. To maintain the voltage stable while the power is adjusted, a secondary control strategy is proposed in the physical layer. Finally, the experimental results have verified the effectiveness of the designed strategies. [ABSTRACT FROM AUTHOR]
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- 2020
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11. Consensus-based economic hierarchical control strategy for islanded MG considering communication path reconstruction.
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Zhang, Bo, Dou, Chunxia, Yue, Dong, Zhang, Zhanqiang, and Zhang, Tengfei
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VOLTAGE control , *DATA transmission systems , *ROBOTIC path planning - Abstract
• A consensus-based primary control (CBPC) is designed to optimize the economic benefit of MG. • The method of path planning and reconstruction is designed to optimize the communication cost. • A cyber-physical vulnerability assessment method is proposed. • A consensus-based secondary control (CBSC) method is proposed to accomplish the secondary control on output voltages of DERs. In the islanded microgrid (MG), to improve the control effect of the output voltages of DERs and keep the economical operation of MG, a consensus-based economic hierarchical control strategy is proposed in this paper. The corresponding control structure is divided into physical and cyber layers, where the cyber layer is mainly composed by communicators. In these two layers, there are two main designs: the consensus-based primary control (CBPC) method and the secondary control (CBSC) method. In CBPC: Firstly, the undirected communication path among communicators is designed by path planning. Then, based on the constructed path, an economic P–U droop control method considering with line loss and flexible load is realized by using consensus control. In CBSC: Firstly, a cyber-physical vulnerability assessment method is designed. Based on this method, the DER with the lowest vulnerability is selected to be connected with the "virtual leader". And when the data transmission behavior of the undirected communication path is selected, the undirected network can be transferred as a directed network. Thus, it can make the virtual leader-following consensus control (VLFCC) and the secondary control on voltage accomplished. Finally, the simulation results show the effectiveness of the proposed strategy. [ABSTRACT FROM AUTHOR]
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- 2019
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12. Neighbor-prediction-based networked hierarchical control in islanded microgrids.
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Zhang, Zhanqiang, Dou, Chunxia, Yue, Dong, Zhang, Bo, and Li, Fenglei
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MICROGRIDS , *ELECTRIC power distribution , *ELECTRIC potential , *VOLTAGE control - Abstract
For the droop-controlled distributed generation units (DGs) in microgrids (MGs), the power sharing error associated with voltage difference of DGs can be attributed to the mismatched line impedance. To improve the power sharing accuracy in islanded MGs, a neighbor-prediction based hierarchical control strategy is proposed. In secondary control, a consensus protocol is used to regulate the DGs voltages interacted by communication network to the state of tracking synchronization. Thus, the error-free power sharing is obtained. Network data-loss and delay problems are considered. To stabilize the DGs’ inner-loop control in which there is a delayed input, the H∞ robustness criteria of a dynamic model of DGs is derived. If the DG i ’s voltage in network transmission loses, the prediction system of a neighbor will be activated to forecast the lost voltage for secondary consensus control by extreme learning machine (ELM). Thus, the voltages regulation will be back to normalization. Simulations in MATLAB confirm the effectiveness of proposed control in MGs. [ABSTRACT FROM AUTHOR]
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- 2019
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13. A decentralized control method for frequency restoration and accurate reactive power sharing in islanded microgrids.
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Zhang, Zhanqiang, Dou, Chunxia, Yue, Dong, Zhang, Bo, and Luo, Wei
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DECENTRALIZED control systems , *REACTIVE power control , *MICROGRIDS , *ELECTRIC impedance , *SERVICE life of machinery - Abstract
Abstract To achieve the frequency restoration (FR) and accurate reactive power sharing (RPS) in islanded microgrids (MGs), an improved P-f droop control is proposed. Firstly, the inverter impedance, whose value is set by the virtual impedance method, is used to minimize the impact of line resistance on powers coupling and RPS. Then, in order to restore the frequency of distributed generations (DGs) to the rated value, the reference is changed for compensating the frequency deviation (FD) caused by loads change. And the fast FR rate is achieved under a large constant k. Besides, in order to eliminate the inaccuracy of RPS caused by voltages difference (VD), the line voltage drop (LVD) is used to compensate the voltage droop characteristics. The use of voltage feedback ensures that the obtained voltage is desired after the LVD compensation. Finally, the simulation in RT-LAB indicates the effectiveness of proposed method in an islanded MG model. [ABSTRACT FROM AUTHOR]
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- 2018
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14. Containment control of non-affine multi-agent systems based on given precision.
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Yao, Dajie, Dou, Chunxia, Xie, Xiangpeng, and Hu, Songlin
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TRACKING control systems , *UNCERTAIN systems , *DIFFERENTIABLE functions , *ADAPTIVE control systems , *LYAPUNOV functions , *MULTIAGENT systems - Abstract
• A prescribed tracking accuracy containment control scheme for non-affine nonlinear uncertain multi-agent systems is proposed in this paper. In the existing results, the presented strategy just ensure that the containment errors gather to a small neighborhood around the origin. In this note, each containment error can converge to a assigned precision value by the proposed method, and the magnitude of each error can be confirmed precisely before the containment controller is designed. • Two important auxiliary functions are used to help deal with the precision tracking issue. With the aid of these two n-order differentiable functions, the Lyapunov functions can be created. And in combination with adaptive and the backstepping techniques, the technical difficulties of the desire controller design are overcome for non-affine nonlinear uncertain multi-agent systems. • A novel analysis method of containment errors is proposed in this note. By using this method, we can conclude that the convergence error for each agent is a given constant. This paper concentrates on a containment control issue for multi-agent systems in non-affine form with a given accuracy. In comparison with the existing studies on multi-agent systems, precision-based containment control idea is first formulated. With the aid of the proposed strategy, the main merit of this note is that the synchronization errors converge to arbitrary given positive number. Simultaneously, the particular Layapunov functions are constructed by feat of two auxiliary functions. By employing the backstepping and adaptive control technique, the key variables and the actual controller are designed. Unlike the traditional stability analysis, a novel method is used to analyse the convergence of containment errors. In the end, some simulation results demonstrate the correctness for the proposed protocol. [ABSTRACT FROM AUTHOR]
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- 2022
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15. High-economic PV power compensation algorithm to mitigate voltage rise with minimal curtailment.
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Zhang, Zhanqiang, Dou, Chunxia, Yue, Dong, Zhang, Bo, and Zhao, Peng
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ALGORITHMS , *STORAGE battery charging , *RADIAL distribution function - Abstract
• To reduce the power curtailment, a new PCA is used to realize coordinated RPC-APC in an optimal order. • To improve the voltage regulation ability, the PRN with the maximum voltage rise is always regulated. • To reduce the number of power control, the most sensitive PV is preferred for the RPC-APC for PRN. • To achieve an accurate RPC-APC, the real-time PRN update and exact power calculation are carried out. Increasing photovoltaic (PV) penetration has caused overvoltage problem in distribution systems. Power curtailment that includes power absorption of PV inverter and charge of battery energy storage is usually used to improve the voltage profile. Most methods prefer to use an excessive local power curtailment to regulate voltage. This inevitably reduces PV generation economy. Hence, a coordinated power compensation algorithm (PCA) is proposed in this paper to regulate bus voltage, aimed at reducing the total power curtailment while serving requisite load demand. Selecting primary control nodes and optimal PV compensation orders based on sensitivity sequence, our PCA achieves an effective voltage regulation with the minimal power curtailment. Final results on a tested PV system model verify the effectiveness. [ABSTRACT FROM AUTHOR]
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- 2021
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16. Cyber-physical cooperative response strategy for consensus-based hierarchical control in micro-grid facing with communication interruption.
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Zhang, Bo, Dou, Chunxia, Yue, Dong, Zhang, Zhanqiang, Zhang, Tengfei, and Ma, Kai
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CYBER physical systems , *POWER resources , *TELECOMMUNICATION systems , *MACHINE learning , *GENETIC algorithms , *PREDICTION models - Abstract
• A CPHVA is proposed to evaluate the vulnerability of nodes in islanded MG. • The interruption problem in communicators is solved by path reconstruction. • The interruption problem in sensors is solved by predictive compensation. • A novel secondary control method is proposed to improve the control effect on DERs. Recently, more and more consensus-based hierarchical control methods are proposed in micro-grid. The main components of these methods are primary and secondary controllers. And they are usually used to adjust the output frequency and voltages of distributed energy resources. But the implementation of these methods is highly dependent on the communication network which is consisted by sensors and communicators. Once the data transmit of some sensors or communicators is interrupted, it will directly affect the control effect of hierarchical control. To solve the above problems, a cyber-physical cooperative response strategy is proposed in this paper. The main designs are as follows: (1) To solve the interruption problem among communicators, there are two defense methods proposed in the cyber layer: path planning and path reconstruction. Both methods are combined with cyber-physical hybrid vulnerability assessment and improved genetic algorithm; (2) To solve the interruption problem in the output channels of sensors, a distributed predictive compensation method combined with extreme learning machine and model predictive control is proposed in physical layer; (3) Based on the designs in (1) and (2), a novel secondary controller is proposed in this paper. Finally, the simulation results confirm the effectiveness of the proposed cooperative response strategy. [ABSTRACT FROM AUTHOR]
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- 2020
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17. Output-based event-triggered schemes on leader-following consensus of a class of multi-agent systems with Lipschitz-type dynamics.
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Yang, Yang, Yue, Dong, and Dou, Chunxia
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LIPSCHITZ spaces , *MATHEMATICAL models , *NONLINEAR functions , *MULTIAGENT systems , *MATHEMATICS problems & exercises - Abstract
This paper addresses the problem of leader-follower consensus for a class of nonlinear multi-agent systems with Lipschitz-type dynamics and a directed communication topology. First, in order to reduce communication frequency among followers, an output-based event-triggered control strategy is proposed for leader-following consensus. Second, neural-network-based observers are designed to reconstruct those immeasurable information of follower agents. Third, instead of continuously monitoring follower agents’ measurements, a distributed self-triggered control strategy is put forward, which is based only on each agent’s local estimation and its previous triggered instants. Furthermore, it is proved theoretically that the consensus tracking errors are ultimately bounded and the Zeno behavior is definitely excluded. Finally, simulation results are given to show the effectiveness and advantage of the proposed results. [ABSTRACT FROM AUTHOR]
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- 2018
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18. Distributed optimization of integrated energy system considering demand response and congestion cost allocation mechanism.
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Yang, Jie, Yang, Mengshi, Ma, Kai, Dou, Chunxia, and Ma, Tieding
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COST allocation , *COST of living , *ENERGY industries , *EXTERNALITIES , *NATURAL gas , *MACHINE-to-machine communications - Abstract
The fluctuation of energy price and the expensive energy cost during the peak period will affect the living cost of users, and transmission congestion will also bring additional transmission costs. To solve this problem, this paper establishes the demand response model of energy users. Users can obtain a lower energy price by adjusting their replaceable load and price load. This paper uses cooperative game pricing method to solve the problem of congestion cost allocation. In order to ensure the privacy and independence of the energy system, the alternating direction method of multipliers is proposed to decouple the integrated energy system. The model is verified in the integrated energy system of IEEE 14-node electricity system and 14-node natural gas system. Simulation results show that the algorithm has convergence and can reduce the cost of user participation in demand response. • ADMM divides IES into two subsystems: electricity system and natural gas system. • Shapley value method is used to allocate congestion cost and improve social welfare. • Users participate in demand response to alleviate transmission congestion. • Consider the discomfort cost of energy use, making the user cost more accurate. [ABSTRACT FROM AUTHOR]
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- 2024
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19. Distributed adaptive output consensus control of a class of heterogeneous multi-agent systems under switching directed topologies.
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Yang, Yang, Yue, Dong, and Dou, Chunxia
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DISTRIBUTED computing , *ADAPTIVE computing systems , *HETEROGENEOUS computing , *MULTIAGENT systems , *SWITCHING theory , *TOPOLOGY - Abstract
In this paper, we consider a leader-follower output consensus problem for a class of uncertain heterogeneous non-affine pure-feedback multi-agent systems (MASs) in the presence of time-delay items and input saturation restrictions under switching directed topologies. A distributed adaptive control scheme is constructed by combining Lyapunov–Krasovskii functionals, backstepping methods, neural networks (NNs), auxiliary systems, graph theory, the mean value theorem and the implicit function theory along with the dynamic surface control (DSC) technique. The key advantages of the designed control approach are that there is no requirement of precise knowledge about uncertain dynamics and time-delay items of individual agents and the computational burden can drastically be reduced by employing the DSC technique. Also, norms of unknown weight of neural networks are estimated online instead of weight vectors themselves. In theory, it can be proven that the output signals of follower agents can synchronize with the leader’s and all signals in the closed-loop system are cooperatively semiglobally uniformly ultimately bounded (CSUUB) by suitable choice of design parameters. Two simulation examples are presented to demonstrate the effectiveness of the proposed strategy. [ABSTRACT FROM AUTHOR]
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- 2016
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20. Robustness of cyber-physical power systems in cascading failure: Survival of interdependent clusters.
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Chen, Lei, Yue, Dong, Dou, Chunxia, Cheng, Zihao, and Chen, Jianbo
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CYBER physical systems , *SYSTEM failures , *TELECOMMUNICATION systems , *ELECTRIC power distribution grids , *INVERSE relationships (Mathematics) , *BUS transportation - Abstract
• Considerable clusters are mutually interdependent to stay alive in cascading failure. • Heterogeneity of nodes in physical power grid, distributed generator and substation. • In physical power grid, the cluster with one distributed generator can stay alive. • The positive correlation between average size of clusters and robustness of systems. • The simulation analysis can guide rational allocation of inter-links in systems. In cyber-physical power systems, tiny failure generating in unilateral network may cause cascading failure iterative between physical power grid and communication network, and finally makes systems break into considerable clusters. In this paper, we find that considerable clusters respectively in physical power grid and communication network are mutually interdependent to survive in cascading failure. Taking account of survival clusters, we study robustness of cyber-physical power systems in various attack scenes. We employ IEEE Standard Bus test case and random network to model cyber-physical power systems. The numerical simulation illustrates that targeted attack disintegrates systems into more clusters than random attack, but with less nodes remained than random attack, which validates the positive correlation between average size of clusters and robustness of systems. Further, the simulation has proved the negative correlation between number of clusters and defined threshold of cluster size. Moreover, the simulation analysis on coupling interdependency and correspondence relation can guide rational allocation of inter-links in systems. [ABSTRACT FROM AUTHOR]
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- 2020
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21. A unified modeling of muti-sources cyber-attacks with uncertainties for CPS security control.
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Ge, Hui, Yue, Dong, Xie, Xiangpeng, Deng, Song, and Dou, Chunxia
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UNCERTAINTY , *ROBUST control , *DISCLOSURE , *CYBERTERRORISM - Abstract
• In this paper, double closed-loop framework is proposed with the functions of faults and cyber-attacks detection. • The models of cyber-attacks, denial-of-service, information disclosure (privacy attack), stealthy attack and replay attacks, are formulated to be typical NCS models with parameter uncertainties from control theory perspective. • Information technique (IT) is synthesized together with control theory, and a novel framework is designed based on typical CPS structure, effective attack defense scenarios is devised and applied on this framework to detect and identify the cyber-attacks. In this paper, the issue of CPS security is investigated. By analyzing the process of multi-sources cyber-attacks of denial-of-service (DoS), information disclosure, stealthy attack and replay attack, a unified system model with uncertainties is formulated. Under this system model framework, robust control theory is applied to design the control scenarios for cyber-attack prevention. Furthermore, a double closed-loop NCS framework combined with information integration technology is proposed, necessary conditions for security guarantee are derived. Finally, a DC motor speed moderating example is given to demonstrate the problem. [ABSTRACT FROM AUTHOR]
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- 2021
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22. Coordinated voltage regulation of high renewable-penetrated distribution networks: An evolutionary curriculum-based deep reinforcement learning approach.
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Zhang, Tingjun, Yu, Liang, Yue, Dong, Dou, Chunxia, Xie, Xiangpeng, and Chen, Lei
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REINFORCEMENT learning , *HIGH voltages , *EVOLUTIONARY algorithms , *VOLTAGE control , *REAL-time control - Abstract
• A voltage regulation optimization problem is formulated considering source-load-storage collaboration. • An attention-based multi-agent deep reinforcement learning approach is designed for voltage control. • A multi-stage parallel training framework and an evolutionary selection mechanism is adopted to improve the scalability of voltage control. With the increasing penetration of renewable energy in active distribution networks (ADNs), voltage regulation problem is becoming more and more challenging. In this article, we focus on providing a scalable data-driven approach to ensure the voltage security of ADNs with high penetration of PVs. To this end, we first formulate an optimization problem for real-time voltage control considering source-load-storage collaboration while minimizing the total active power curtailment of PVs. Then, we reformulate the above problem as a Markov game and propose a novel voltage regulation algorithm based on evolutionary curriculum-based multi-agent deep reinforcement learning (EC-MADRL) to solve it. The key idea of the proposed algorithm is to adopt a multi-stage parallel training framework based on attention multi-agent deep deterministic policy gradient algorithm (Attention-MADDPG) and use an evolutionary mechanism to select voltage regulation models with high fitnesses in the previous stage, which means that good agents with best adaptability could be utilized for learning in the environment with a larger number of PVs. Simulation results show the effectiveness and scalability of the proposed algorithm. [ABSTRACT FROM AUTHOR]
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- 2023
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23. Gradient decent based multi-objective cultural differential evolution for short-term hydrothermal optimal scheduling of economic emission with integrating wind power and photovoltaic power.
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Zhang, Huifeng, Yue, Dong, Xie, Xiangpeng, Dou, Chunxia, and Sun, Feng
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WIND power , *DIFFERENTIAL evolution , *PHOTOVOLTAIC power systems , *STOCHASTIC processes , *ENERGY economics , *CONSTRAINT satisfaction - Abstract
With the integration of wind power and photovoltaic power, optimal operation of hydrothermal power system becomes great challenge due to its non-convex, stochastic and complex-coupled constrained characteristics. This paper extends short-term hydrothermal system optimal model into short-term hydrothermal optimal scheduling of economic emission while considering integrated intermittent energy resources (SHOSEE-IIER). For properly solving SHOSEE-IIER problem, a gradient decent based multi-objective cultural differential evolution (GD-MOCDE) is proposed to improve the optimal efficiency of SHOSEE-IIER combined with three designed knowledge structures, which mainly enhances search ability of differential evolution in the shortest way. With considering those complex-coupled and stochastic constraints, a heuristic constraint-handling measurement is utilized to tackle with them both in coarse and fine tuning way, and probability constraint-handling procedures are taken to properly handle those stochastic constraints combined with their probability density functions. Ultimately, those approaches are implemented on five test systems, which testify the optimization efficiency of proposed GD-MOCDE and constraint-handling efficiency for system load balance, water balance and stochastic constraint-handling measurements, those obtained results reveal that the proposed GD-MOCDE can properly solve the SHOSEE-IIER problem combined with those constraint-handling approaches. [ABSTRACT FROM AUTHOR]
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- 2017
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24. Wind–Thermal power generation scheduling with predictive transmission security margin.
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Huang, Yu, Xu, Qingshan, Xia, Yuanxing, Yue, Dong, and Dou, Chunxia
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BILEVEL programming , *WIND power , *WIND forecasting , *INTEGER programming , *KEY performance indicators (Management) , *SECURITY management - Abstract
• A newly defined concept of predictive transmission security margin (PTSM) is presented accounting for the risk of uncertainty-induced congestion. • By incorporation of PTSM, the risk-averse UC and real-time thermal re-dispatch are formulated as a bi-level optimization model. • Quantification of PTSM can be exactly characterized given the impacts of thermal re-dispatch on the ex-post line flows in a probabilistic manner. • Transmission flexibility is gained economically by procuring PTSM for the alleviation of congestion and reserve undeliverability. Optimal scheduling of generation and transmission resources in the day-ahead market is vital for the assurance of operational reliability in the case of with high wind penetration. To mitigate the ramifications of wind power uncertainty, this paper presents a risk-averse approach for the unit commitment (UC) model in a two-settlement market. A newly defined concept of predictive transmission security margin (PTSM) is formulated in the UC, which provides a measure for the risk margin of transmission congestion while accounting for wind power forecast error and contingencies. These procured PTSMs on each line are dynamically characterized based on the statistics of ex-post line flows in the real-time re-dispatch. The proposed framework is formed as a bi-level optimization problem, and is transformed into a mixed integer programming formulation using Karush–Kuhn–Tucher (KKT) optimality conditions for computational tractability. The effectiveness of the proposed method is tested using various case scenarios on a modified IEEE RTS 24-bus and a 118-bus system in terms of key performance metrics, including the total operation cost, congestion hours, and required and undelivered generation reserves. The results show that the proposed method can effectively reduce the total operation costs by suppressing congestion risk and improving reserve deliverability. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
25. Model predictive based frequency control of power system incorporating air-conditioning loads with communication delay.
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Zhao, Nan, Gorbachev, Sergey, Yue, Dong, Kuzin, Victor, Dou, Chunxia, Zhou, Xia, and Dai, Jianfeng
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ELECTRICAL load , *PREDICTION models , *RENEWABLE energy sources , *AIR conditioning , *FREQUENCY stability - Abstract
The variability of renewable energy sources (RESs) introduces more frequency fluctuations, and the reserve capacity of generation side needs to be sharply enlarged to maintain frequency stability, which inevitably increases the cost. In this paper, massive inverter air conditioners (IACs) as flexible regulation resources are aggregated to provide capacity support in frequency regulation. This paper establishes the state-space dynamic model and then presents a coordinated optimal control strategy by using model predictive control (MPC). However, the communication delay during the control signal transmission to IACs is one of the main obstacles that degrades the system performance in frequency regulation. To handle this issue, a predictive compensation method (PCM) based on MPC is applied to the control loop of IACs to compensate for the communication delay. Moreover, the robustness of the proposed MPC method with PCM against variations of system delay and parameters in the frequency response process is investigated in comparison to the proportional–integral (PI) controller. The simulation results are conducted to validate the superiority of the proposed method to the PI control method in virtue of the dynamic response and the performance indices, which demonstrates faster response, robustness, fewer fluctuations. • The state-space model of new power system incorporating the IACs is firstly proposed. • Based on this model, advanced control methods can be used for frequency control. • MPC is utilized to control aggregated IACs to obtain an optimal control strategy. • A predictive compensation method is applied to handle the impact of transmission delay. • The proposed method is robust over PI controller in the presence of delay. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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26. Resilient load frequency control design: DoS attacks against additional control loop.
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Cheng, Zihao, Yue, Dong, Hu, Songlin, Huang, Chongxin, Dou, Chunxia, and Chen, Lei
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DENIAL of service attacks , *MIGRAINE aura , *STABILITY criterion , *STATE feedback (Feedback control systems) , *TIME delay systems - Abstract
• The dynamic of multi-area LFC system with uncertainty and GRC under DoS attacks and time delay is described by a switched delay system. • To analyze the resilience of LFC system, we combine the piecewise Lyapunov-Krasovskii functional method and switched system method. • A criterion is derived to estimate the tolerable DoS attacks: attacks frequency, uniform bound of sleep intervals and attack intervals. Under the criterion, the design method of resilient LFC control gain is given by using LMIs techniques. Resilient load frequency control (LFC) design problem is concerned for a multi-area power system with uncertainty and physical constraint under denial-of-service (DoS) attacks and transmission delay. LFC scheme consists of a local PI control loop and additional control loop to be designed. PI control loop is subjected to constant transmission delay while additional control loop is subjected to DoS attacks. We characterize DoS attacks by attack frequency, uniform lower bound of sleep interval and uniform upper bound of attack interval. Considering DoS attacks and time delay, we describe LFC system dynamic by a switched delay system model. Further, a stability criterion is derived by using delay system method and switched system method. Under the criterion, a design method is presented to solve state feedback control gain. Finally, numerical simulations are given to verify the validness of our proposed design method. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
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