Demand side management for Wind Power Integration in microgrid using dynamic potential game theory
作者： Chenye Wu , Hamed Mohsenian-Rad , Jianwei Huang , Amy Yuexuan Wang
DOI: 10.1109/GLOCOMW.2011.6162371
关键词: Markov chain 、 Wind power 、 Simulation 、 Potential game 、 Microgrid 、 Generator (mathematics) 、 Computer science 、 Turbine 、 Renewable energy 、 Game theory 、 Mathematical optimization
摘要: We propose a novel demand side management method to tackle the intermittency in wind power generation. Our focus is on an isolated microgrid with one turbine, fast-responding conventional generator, and several users. Users act as independent decision makers shaping their own load profiles. Using dynamic potential game theory, we analyze coordinate interactions among users efficiently utilize available renewable energy resources minimize total cost system. further model inter-temporal variations of Markov chain based field data. techniques from first derive closed-form expressions for best responses that participate management. Then, investigate efficiency constructed at equilibrium. Finally, system performance assessed using computer simulation. In particular, our proposed scheme saves 38% generation compared case without
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