计及多智能体调度的冷热电联供型微网并网优化运行研究  

Study on grid-connected optimization operation of CCHP microgrid with multi-agent scheduling

作　　者：王凌云[1] 杨剑 张赟宁[1] 王晓敏 吴小婷 Wang Lingyun;Yang Jian;Zhang Yunning;Wang Xiaomin;Wu Xiaoting(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang443002,China)

机构地区：[1]三峡大学电气与新能源学院

出　　处：《可再生能源》2020年第1期104-112,共9页Renewable Energy Resources

基　　金：国家自然科学基金项目(61603212);三峡大学学位论文培优基金项目(2019SSPY059)

摘　　要：基于多智能体技术以实现微网内各个代理之间的通信与协调控制为前提,建立了以发电成本和环境费用最小、并网收益最高为目标的冷热电联供型微网并网优化调度模型。该模型应用多代理混沌粒子群算法获得最优解和各微源最佳出力方案。在算例分析中选取某微网为参考系统,分别设置了3个典型场景,分析了在并网条件下微网加入冷热电联供系统后对优化目标结果的影响。采用多代理混沌粒子群算法,求得3个典型场景下的最优解。通过对比分析,验证了所提方法的可靠性。On the premise that multi-agent technology can realize the communication and coordinated control among agents in the microgrid, a grid-connected optimal dispatching model for the CCHP microgrid is established in this paper, which aims at minimizing the cost of power generation and environmental governance as well as maximizing grid-connected revenue. A multiagent chaotic particle swarm optimization(MACPSO) algorithm is applied to the proposed model to obtain the optimal solution and the optimal output scheme of each micro-source. Then, a microgrid is selected as a reference system in an example and three typical scenarios are set up to analyze the impact of microgrid joining CCHP system under grid-connection condition on the optimization results. Finally,MACPSO algorithm is used to obtain the optimal solutions in three typical scenarios and the reliability of the proposed method is verified by comparative analysis.

关 键 词：微网 多智能体 冷热电联供 并网优化 混沌 

分 类 号：TK8[动力工程及工程热物理—流体机械及工程] TK51