摘要
储能系统(ESS)在微电网中的应用可以提高网络的供电可靠性和经济效益。在孤岛运行方式下,多个储能单元在微电网内的合理使用,能够优化微电网内的功率流动,从而实现微电网的经济性运行。文中基于多代理系统控制模型,研究了在孤岛运行方式下的含多储能单元的微电网内各分布式能源(DER)及负荷的动态博弈模型,考虑电量电价弹性产生的负荷需求响应,建立了基于风险成本的Agent电量投标模型和基于VRE强化学习算法的电价投标决策,最后在多代理仿真平台上加入以上模型和方法,通过对比分析验证了模型的有效性,同时实现了微电网和DER的经济性优化。
Energy storage system （ESS） in the micro-grid can improve the reliability and economic in power grid. However, in the planned or unplanned islanding operation mode, due to the randomness and intermittent characteris- tics of the output of various types of distributed generators（DG）, reasonable use of multiple storage units within the micro-grid can optimize the power flow and economic cost. This paper is based on the multi-agent system controlling model, and studies the dynamic game model in the island within the micro-grid operation mode considering various distributed energy resources（DER） and load, while the micro-grid includes several ESSs. Including energy-price elasticity of the demand response, Agent electric quantity bidding model based on risk cost, and price bidding decision based on VRE reinforcement learning algorithm are established. In the end, the author combines the mentioned models and methods with the multi-agent simulation platform, to analysis of the validity of the proposed model.
出处
《高压电器》
CAS
CSCD
北大核心
2016年第7期75-81,共7页
High Voltage Apparatus
基金
四川省科技支撑项目(2014JY0191)~~
关键词
多储能单元
动态博弈
多代理系统
需求响应
several energy storage units
dynamic game
multi-agent system
demand response
