摘要
为提高微网运行的经济效益,解决微网发电侧可再生能源出力的间歇性和不稳定性,提出分时电价(TOU)机制下的优化调度方法.以一天24 h为例,在并网运行方式下研究各个微源的优化输出特性曲线,采用多智能体技术对发电侧、储能单元以及需求侧进行区域自治协同调控,同时考虑将储能单元充放电策略用于有效实现微网发电侧不同类型微源的优化调度.采用多智能体粒子群算法求解所建优化调度模型,仿真算例证明了所提分时电价策略可有效提高发电侧微源出力的消纳率以及微网系统运行的经济性.
To improve the economic benefits of microgrid operation and solve the intermittency and instability problems of renewable energy output power on the generation side of a microgrid,an optimal dispatch method based on the time-of-use(TOU)price mechanism is proposed.First,taking 24 h/day as an example,the optimal output characteristic curve of each micro-source is investigated under grid-connected operation mode.Second,the multi-agent technology is adopted to coordinate the autonomous control of the generation side,energy storage unit,and demand side.Meanwhile,the charge-discharge control strategy of energy storage units is considered for the optimal scheduling of different types of micro-sources on the microgrid generation side.The proposed optimal scheduling model is solved by the multi-agent particle swarm optimization algorithm.The simulation results show that the proposed TOU price strategy can effectively improve the output power consumption rate of micro-sources and the economy of microgrid system operation.
作者
王凌云
王晓敏
胡兴媛
张赟宁
张涛
WANG Lingyun;WANG Xiaomin;HU Xingyuan;ZHANG Yunning;ZHANG Tao(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;Hubei Provincial Collaborative Innovation Center for New Energy Microgrid,China Three Gorges University,Yichang 443002,China)
出处
《信息与控制》
CSCD
北大核心
2020年第4期429-435,共7页
Information and Control
基金
国家自然科学基金资助项目(61603212)。
关键词
微网
分时电价
充放电策略
多智能体
优化调度
microgrid
time-of-use(TOU)price
charge and discharge strategy
multi-agent system
optimal scheduling
