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Your search keyword '"Zheng, Xidong"' showing total 21 results
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21 results on '"Zheng, Xidong"'

9. A New Macro Dynamic Demand Response Strategy Considering Micro Power Quality Disturbance for Wind-Storage Integrated System

Author

Zheng, Xidong and Jin, Tao

Abstract

This article developed a new methodology of macro dynamic demand response (DDR) strategy considering micropower quality disturbance (PQD) for wind-storage integrated systems. A novel idea has been presented in this methodology to eliminate the barrier of PQD and renewable energy dynamic adjustment. At the microlevel for PQD elimination, a filtering strategy of Butterworth–Wiener filter (Bw-WF) is proposed to deal with the frequency interference PQD in wind-storage integrated system by Bw and the WF. The method connects the macro DDR and the PQD elimination at the microlevel for the stable wind power output after PQD elimination. At the macrolevel for dynamic adjustment, the Hampel–Savitzky–Golay macropower filtering method is proposed to calculate the low-frequency power in line with the national standards. Considering all wind power participates in the DDR, the change of DDR and the adjusted power curves are calculated based on the Logistics function, optimistic response, and pessimistic response factors. Through the experimental verification, it is found that the power and state of charge curves of energy storage can be significantly changed by the subtle dynamic changes during an ultra-short period. Also, it is demonstrated that the theoretical method proposed in this article is reliable and promising.

Published
2024
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10. Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy

Author

Zheng Xidong and Jiang Xiubo

Subjects
Wind power plants, Optimisation techniques, Power and energy control, Control of electric power systems, Other topics in statistics, Distribution or transmission of electric power, TK3001-3521, Production of electric energy or power. Powerplants. Central stations, TK1001-1841
Abstract

Abstract In order to solve the problems of power quality reduction and power fluctuation caused by large‐scale wind power grid‐connected, an advanced control strategy to smooth the power fluctuation and allocation of hybrid energy storage system is proposed. Based on theoretical researches, the mathematical model of hybrid energy storage system is adopted to well analyse the fluctuation and smoothing strategy of wind power. Compared with the traditional filtering algorithms, the study proposes a method combined optimal exponential smoothing with complete ensemble empirical mode decomposition with adaptive noise and normalized energy entropy to improve the accuracy of grid‐connected output power and power allocation. Furthermore, the fuzzy control theory is used to improve the reliability of the algorithm after obtaining the smoothed power output and initial power allocation instructions. To prove the validity of the algorithm, case studies are constructed to demonstrate the performance in this paper. Experiments and example simulations show that the proposed method can effectively realize adaptive power allocation and improve the accuracy of identification. After effectively improving the efficiency and service life of the energy storage system, it provides a basis for large‐scale grid operation.

Published
2021
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18. Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy

Author

Jiang Xiu-bo and Zheng Xidong

Subjects
TK1001-1841, Distribution or transmission of electric power, Computer science, business.industry, Exponential smoothing, Energy Engineering and Power Technology, Hybrid energy, TK3001-3521, Entropy (classical thermodynamics), Production of electric energy or power. Powerplants. Central stations, Control and Systems Engineering, Computer data storage, Statistical physics, Electrical and Electronic Engineering, business, Energy (signal processing), Power Fluctuation
Abstract

In order to solve the problems of power quality reduction and power fluctuation caused by large‐scale wind power grid‐connected, an advanced control strategy to smooth the power fluctuation and allocation of hybrid energy storage system is proposed. Based on theoretical researches, the mathematical model of hybrid energy storage system is adopted to well analyse the fluctuation and smoothing strategy of wind power. Compared with the traditional filtering algorithms, the study proposes a method combined optimal exponential smoothing with complete ensemble empirical mode decomposition with adaptive noise and normalized energy entropy to improve the accuracy of grid‐connected output power and power allocation. Furthermore, the fuzzy control theory is used to improve the reliability of the algorithm after obtaining the smoothed power output and initial power allocation instructions. To prove the validity of the algorithm, case studies are constructed to demonstrate the performance in this paper. Experiments and example simulations show that the proposed method can effectively realize adaptive power allocation and improve the accuracy of identification. After effectively improving the efficiency and service life of the energy storage system, it provides a basis for large‐scale grid operation.

Published
2020

20. Fuzzy web planning models with Genetic Algorithm solutions

Author

Zheng, Xidong, Reilly, Kevin, and Buckley, James J.

Subjects
Fuzzy systems -- Research, Fuzzy logic -- Research, Fuzzy algorithms -- Research, Science and technology, Fuzzy logic, Research
Abstract

This paper deals with the specifics of computing (fuzzy) steady state probabilities using genetic algorithms to determine required minimum and maximum of the modeling system's fuzzy number outputs. Prominent fuzzy [...]

Published
2003

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