电工技术学报2017，Vol.32Issue(22)：189-197,9.DOI:10.19595/j.cnki.1000-6753.tces.160824
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
Microgrid PCC Power Optimal Control with Markov Decision Process Using the Specific Policy of Wavelet Packet-Probability Fuzzy Set
熊雄 1王江波 1杨仁刚1
作者信息
- 1. 中国农业大学信息与电气工程学院 北京 100083
- 折叠
摘要
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.关键词
微电网/公共耦合点/功率优化/小波包分解/概率模糊集/马尔科夫决策过程Key words
Microgrid/point of common coupling/power optimal/wavelet package/probability fuzzy set/Markov decision process分类
信息技术与安全科学引用本文复制引用
熊雄,王江波,杨仁刚..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[J].电工技术学报,2017,32(22):189-197,9.
