胡泽春, 丁华杰, 孔涛. 风电—抽水蓄能联合日运行优化调度模型[J]. 电力系统自动化, 2012, 36(2): 36-41,57.
引用本文: 胡泽春, 丁华杰, 孔涛. 风电—抽水蓄能联合日运行优化调度模型[J]. 电力系统自动化, 2012, 36(2): 36-41,57.
HU Ze-chun, DING Hua-jie, KONG Tao. A Joint Daily Operational Optimization Model for Wind Power and Pumped-storage Plant[J]. Automation of Electric Power Systems, 2012, 36(2): 36-41,57.
Citation: HU Ze-chun, DING Hua-jie, KONG Tao. A Joint Daily Operational Optimization Model for Wind Power and Pumped-storage Plant[J]. Automation of Electric Power Systems, 2012, 36(2): 36-41,57.

风电—抽水蓄能联合日运行优化调度模型

A Joint Daily Operational Optimization Model for Wind Power and Pumped-storage Plant

  • 摘要: 基于日前负荷预测和风电出力预测,研究了风电—抽水蓄能联合日运行的优化方法,提出了电网消纳风电出力的新模式。以风电—抽水蓄能联合运行的效益最大化为目标,考虑抽水蓄能机组的启停限制和发电—抽水工况转换限制,以二次约束表征机组启停约束和抽水蓄能电站运行工况约束,建立了含全天96个时段的混合整数规划模型,并采用商业优化软件求解。基于实际抽水蓄能电站参数设计了算例系统。测试结果表明,抽水蓄能电站与风电场配合可大大降低风电出力随机性对电网运行的负面影响,经济和社会效益显著。

     

    Abstract: Based on the day-ahead forecast of system load and wind power output,this paper focuses on the optimization of the daily joint operation of wind power and pumped-storage plants,and a new mode of joint operation is proposed.A mixed-integer programming formulation is built to maximize the daily profit of the wind farm and the pumped-storage plant,where the time interval is 15 minutes and the constraints of unit startup-shutdown times are considered.The state change of units is taken into consideration by a quadratic constraint.The whole formulation is solved by commercial optimization software under MATLAB environment.A test case is developed based on the parameters of a practical pumped-storage plant.Simulation results indicate that the coordinated operation of wind farm and pumped-storage plant greatly reduces the negative impact of random wind power output on the power system operation and achieve significant economic and social benefits.

     

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