摘要
为提高微网经济效益,计及供电侧微源、储能侧蓄电池以及需求侧负荷的优化调度,将可再生能源光伏与风机加入供电侧,同时通过储能侧蓄电池的协调出力,及时补充微源发电。以发电成本最低为目标函数,考虑需求侧用电方式满意度与用电支出满意度,将需求优化调度与存储设备引入微网,以日调度为例,对微源以及需求侧负荷进行协同调控。通过混沌粒子群优化算法对模型进行求解,在实时电价机制下对微网进行协调控制,验证了所提实时电价机制下微网的经济性与稳定性。
In order to improve the economic benefit of the microgrid,taking into account the micro supply side micro sources,energy storage side batteries and demand side load optimization scheduling.The renewable energy photovoltaic and wind turbines are added to the power generation side and the output power of the storage-side batteries is coordinated to supplement the micro-power generation.This paper regards the minimum cost of power generation as the objective function,and considers the satisfaction degree of demand side power consumption and the satisfaction of power consumption to regulate the micro-source and demand-side load.The chaotic particle swarm optimization algorithm is used to solve the model,and a coordinated control of the microgrid is proposed under the real-time pricing mechanism to verify the economics and stability of the microgrid under the proposed real-time pricing mechanism.
作者
胡兴媛
郝亚群
温思雨
HU Xing-yuan;HAO Ya-qun;WEN Si-yu(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang443002,China;.Hubei Provincial Collaborative Innovation Center for New Energy Microgrid,China Three Gorges University,Yichang443002,China)
出处
《电力学报》
2018年第6期505-510,共6页
Journal of Electric Power
关键词
微网
优化调度
实时电价
需求侧
microgrid
optimization scheduling
real-time price
demand side