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A Stochastic Programming Strategy in Microgrid Cyber Physical Energy System for Energy Optimal Operation 被引量:7

A Stochastic Programming Strategy in Microgrid Cyber Physical Energy System for Energy Optimal Operation
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摘要 This paper focuses on the energy optimal operation problem of microgrids(MGs) under stochastic environment.The deterministic method of MGs operation is often uneconomical because it fails to consider the high randomness of unconventional energy resources.Therefore,it is necessary to develop a novel operation approach combining the uncertainty in the physical world with modeling strategy in the cyber system.This paper proposes an energy scheduling optimization strategy based on stochastic programming model by considering the uncertainty in MGs.The goal is to minimize the expected operation cost of MGs.The uncertainties are modeled based on autoregressive moving average(ARMA) model to expose the effects of physical world on cyber world.Through the comparison of the simulation results with deterministic method,it is shown that the effectiveness and robustness of proposed stochastic energy scheduling optimization strategy for MGs are valid. This paper focuses on the energy optimal operation problem of microgrids (MGs) under stochastic environment. The deterministic method of MGs operation is often uneconomical because it fails to consider the high randomness of unconventional energy resources. Therefore, it is necessary to develop a novel operation approach combining the uncertainty in the physical world with modeling strategy in the cyber system. This paper proposes an energy scheduling optimization strategy based on stochastic programming model by considering the uncertainty in MGs. The goal is to minimize the expected operation cost of MGs. The uncertainties are modeled based on autoregressive moving average (ARMA) model to expose the effects of physical world on cyber world. Through the comparison of the simulation results with deterministic method, it is shown that the effectiveness and robustness of proposed stochastic energy scheduling optimization strategy for MGs are valid. © 2014 Chinese Association of Automation.
出处 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI 2015年第3期296-303,共8页 自动化学报(英文版)
基金 supported by National Natural Science Foundation of China(61100159,61233007) National High Technology Research and Development Program of China(863 Program)(2011AA040103) Foundation of Chinese Academy of Sciences(KGCX2-EW-104) Financial Support of the Strategic Priority Research Program of Chinese Academy of Sciences(XDA06021100) the Cross-disciplinary Collaborative Teams Program for Science,Technology and Innovation,of Chinese Academy of Sciences-Network and System Technologies for Security Monitoring and Information Interaction in Smart Grid Energy Management System for Micro-smart Grid
关键词 Microgrids(MGs) cyber physical energy system(CPES) uncertainty stochastic programming energy optimal operation Electric power distribution Energy resources Scheduling Stochastic programming Stochastic systems Uncertainty analysis
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