基于小波包分解-概率模糊集特定策略下马尔可夫决策过程的微电网公共耦合点功率优化控制

doi:10.19595/j.cnki.1000-6753.tces.160824

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Abstract This paper presents a microgrid power optimal dispatch scheme by using Markov decision process (MDP). To decrease the exchange power of PCC and smooth the fluctuations in different time scales, the reward function of MDP is established as entropy. During the decision process the optimal policy and optimal entropy value are solved through policy iteration. In the policy iteration, a specific policy set of wavelet packet-probability fuzzy has been proposed. It is used as the mapping from the state set of state of charge (SOC) of energy storage to action set of charge/discharge power of hybrid energy storage. The performance of this optimal method is discussed by study cases in the end.

Key words： Microgrid, point of common coupling, power optimal, wavelet package, probability fuzzy set, Markov decision process

Received: 02 June 2016 Published: 05 December 2017

PACS:

TM926

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	Xiong Xiong
	Wang Jiangbo
	Yang Rengang

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Xiong Xiong,Wang Jiangbo,Yang Rengang. Microgrid PCC Power Optimal Control with Markov Decision Process Using the Specific Policy of Wavelet Packet-Probability Fuzzy Set[J]. Transactions of China Electrotechnical Society, 2017, 32(22): 189-197.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.160824 OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I22/189

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