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19. A Novel Adaptive Neural Network Constrained Control for a Multi-Area Interconnected Power System With Hybrid Energy Storage.

Author

Xu, Dezhi, Liu, Jianxing, Yan, Xing-Gang, and Yan, Wenxu

Subjects
ENERGY storage, ARTIFICIAL neural networks, SUPERCAPACITORS, FUEL cells, ADAPTIVE control systems, LYAPUNOV stability
Abstract

This paper concentrates on the problem of control of a hybrid energy storage system (HESS) for an improved and optimized operation of load-frequency control applications. The HESS consists of a supercapacitor serving as the main power source and a fuel cell serving as the auxiliary power source. First, a Hammerstein-type neural network is proposed to identify the HESS, which formulates the Hammerstein model with a nonlinear static gain in cascade with a linear dynamic block. It provides the model information for the controller to achieve the adaptive performance. Second, a feedforward neural network based on a back-propagation training algorithm is designed to formulate the proportional-integral-derivative (PID)-type neural network, which is used for the adaptive control of the HESS. Meanwhile, a dynamic antiwindup signal is designed to solve the operational constraint of the HESS. Then, an appropriate power reference signal for the HESS can be generated. Third, the stability and the convergence of the whole system are proved based on the Lyapunov stability theory. Finally, simulation experiments are followed through on a four-area interconnected power system to demonstrate the effectiveness of the proposed control scheme. [ABSTRACT FROM PUBLISHER]

Published
2018
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20. Power Control for Induction Heating by Asymmetrical Pulse Density Modulation

Author

Yan Wenxu, Ji Zhicheng, and Lu Xianling

Subjects
Physics, Phase-locked loop, Pulse-frequency modulation, Modulation, Control theory, Frequency modulation, Phase modulation, Pulse-density modulation, Pulse-width modulation, Power (physics)
Abstract

To adjust the power of serial-resonant inverters for induction heating applications, asymmetrical Pulse Density Modulation (APDM) power controlled strategy is described, analysed and designed. The Pulse Density Modulation (PDM) is introduced to overcome the drawbacks of the classical control modes such as Pulse Width Modulation, Pulse Frequency Modulation and Phase Shift Modulation. One characteristic of PDM is that it operates at resonant frequency with Zero-current and zero-voltage switching for a wide range of output power variations. Normal PDM often considered as symmetry pattern for the power switches. While in some case of low quality of the resonant loads, the load current is incontinuous in stage of low density, the phase loop locked circuit can not work efficiently, and the advantage of PDM will disappear. APDM provides two times wide range of output power variations at the same operation period of PDM, and the switches also cut off at Zero Current Switching and open at Zero Voltage Switching.

Published
2006

21. An Energy Efficient Cross-Layer Routing Algorithm for Wireless Sensor Networks

Author

Sun Yaming, Lu Xianling, Yu Jiming, and Yan Wenxu

Subjects
Dynamic Source Routing, Engineering, business.industry, Wireless network, Distributed computing, Wireless Routing Protocol, Key distribution in wireless sensor networks, Mobile wireless sensor network, ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, business, Communications protocol, Wireless sensor network, Computer network, Efficient energy use
Abstract

Power is a precious resource in wireless sensor networks due to the limited battery capability. Once deployed, it is often difficult to charge or replace the batteries for these nodes. The capacity of batteries is not expected to improve much in the future. Prolonging the lifetime for nodes and the total network is a critical issue. Our lessons learned in working for wireless sensor networks show that energy efficiency can be improved at various layers of the communication protocol stacks. We propose an energy efficient Cross-Layer routing algorithm (E2CL) which relies on interactions between different concerned layers in order to attain longevity of sensor network. The simulation results show that our E2CL routing algorithm provides a good scheme for prolonging the lifetime of wireless sensor networks.

Published
2006

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