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基于分时电价的虚拟电厂经济性优化调度 被引量:20

Economic Optimal Dispatch of Virtual Power Plant Based on Time-of-Use Power Price
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摘要 大规模不可控新能源和可控能源构建成虚拟电厂,可以降低新能源入网时,其输出功率不确定性对电网安全的影响,提高供电可靠性。配电网分时电价可以激励虚拟电厂参与电网削峰填谷,降低发电成本,获得更好的效益。为此设计了基于分时电价的虚拟电厂运行策略,以各时段内获得收益最大为目标,构建了基于分时电价的虚拟电厂经济性优化调度模型,采用粒子群算法得到虚拟电厂各能源的出力。分析了虚拟电厂可控分布式电源出力系数和不可控分布式电源预测误差对虚拟电厂经济性的影响,对比分析了4种储能系统场景下虚拟电厂的经济性。仿真结果表明所建模型合理,当大规模新能源电力接入电网时,基于分时电价的虚拟电厂采用抽水蓄能和储能电池联合运行,能获得更好的经济效益和电能质量。 When large scale renewable energy is connected to power grid, virtual power plant consisting of uncontrollable renewable energy and controllable energy can reduce effect of power output uncertainty on grid security and improve power supply reliability. Time-of-use power price of grid can stimulate virtual power plant to participate in grid shifting load, reduce cost of power generation and get better benefits. For this reason, a strategy of virtual power plant based on time-of-use power price is designed. With goal of maximizing profits in each period, an economic optimal dispatch model of virtual power plant based on time-of-use power price is established. Power output of each energy resource of virtual power plant is obtained with particle swarm algorithm. Output coefficient of controllable generators and effect predicting error of uncontrollable generator on economy of virtual power plant are analyzed. Economy of virtual power plant was compared under four storage system scenarios. Simulation result shows rationality of the established model, and that virtual power plant based on time-of-use power price can get better economy and power quality using pumped storage and energy storage battery for joint operation when large scale renewable energy is connected to grid.
作者 袁桂丽 陈少梁 刘颖 房方 YUAN Guili,CHEN Shaoliang,LIU Ying,FANG Fang(School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing 102206, China)
出处 《电网技术》 EI CSCD 北大核心 2016年第3期826-832,共7页 Power System Technology
关键词 虚拟电厂 新能源 分时电价 运行策略 优化调度模型 抽水蓄能 储能电池 virtual power plant renewable energy time-of-use power price operating strategy optimal dispatch model pumped storage energy storage battery
作者简介 袁桂丽(1971),女,博士,副教授,主要研究方向为信息控制、先进控制策略及其应用、电力系统控制与优化调度,E—mail:guiliyuan@163.com 陈少梁(1990),男,通信作者,硕士研究生,主要研究方向为电力系统控制与优化调度; 刘颖(1991),女,硕士研究生,主要研究方向为电力系统控制与优化调度; 房方(1976),男,博士,教授,研究方向为火电机组建模与控制。
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