支撑规模化可再生能源高效聚合的虚拟电厂运行方法研究

Research on large-scale renewable energy efficient aggregation based on virtual power plant operation method

为了提升风电并网效率,减小对传统电网的冲击,文章将风电和分布式储能电站聚合为虚拟电厂,通过刻画聚合后的运行可行域,实现削峰填谷,减少化石能源消耗和环境污染。基于聚合等值算法和与凸胞边缘检测法提出了虚拟电厂灵活聚合方法,基于多目标优化算法建立了同时考虑常规机组、可再生能源机组运行约束、储能电站能量守恒及容量限制约束的目标函数组,解决了多类型机组最优出力与储能最优充放电顺序的多目标优化问题,进而在IEEE-11机组标准算例中,加入风电及分布式储能进行了仿真验证。算例结果表明,采用等值算法的储能与可再生能源聚合虚拟电厂方案对增加新能源消纳、降低运行费用和节约化石能源具有显著效果。

In order to improve the grid connected efficiency of large-scale renewable energy and reduce the impact on traditional power grid,this paper studies the method of aggregating distributed renewable energy and energy storage stations into virtual power plants.By describing the feasible operation domain after aggregation,peak shaving and load flling can be realized,and fossil energy consumption and envi-ronmental pollution can be reduced.A virtual power plant flexible polymerization method based on Minkowski sum and convex cell edge detection is proposed.Based on Multiple Objective Particle Swarm Optimization(MOPSO)algorithm,A set ofobjective functions was established considering both conventional unit operation constraints and energy conservation and capacity constraints of energy storage power station.The muli-objective optimization problem of optimaloutput of muli-type units and charge and discharge sequence of the distributed energy storage was solved,and the unit commitment optimization with virtual power plant was realized.Furthermore,wind power plant and distributed energy storage are added into thestandard case ofIEEE-lunits for simulation verification.The calculation results show that the virtual power plant scheme based on MOPSO optimization has significant effects on renewable energy accommodation,operation cost reduction and fossil energy saving.