基于多场景技术的冷热电虚拟电厂两阶段优化调度

针对风、光出力及负荷需求的不确定性造成虚拟电厂收益低的问题,建立了基于多场景技术的冷热电虚拟电厂优化调度模型.对风光出力及电、热、冷负荷的不确定性进行分析,通过拉丁超立方抽样生成连续时间场景,模拟风光出力及多能负荷随时间的波动情况;采用同步回代消除法对所生成的场景进行削减,得到风、光、荷典型日场景.在此基础上构建多场景...

Two-stage optimal dispatching of CCHP virtual power plant based on multi-scenario

In order to solve the problem of low profit of virtual power plant caused by the uncertainty of wind power, photovoltaic and load demands, an optimal scheduling model of CCHP virtual power plant based on multi-scenario is proposed. The continuous time scenarios are generated by latin hypercube sampling to simulate the wind power and photovoltaic output and the fluctuation of multi-energy load with time. The generated scenarios are reduced by simultaneous backward reduction to obtain typical scenarios. Moreover, a two-stage coordinated optimization model for multi-scenario CCHP virtual power plants is constructed. In the real-time stage, an operational model considering multiple costs and constraints is established, and the proposed model is optimized by particle swarm optimization algorithm to obtain the best multi-scenario output scheme. In the real-time correction phase, the regulatory cost is added to adjust the output of the controllable equipment to eliminate the volatility. The simulation analysis in typical cases verifies that the proposed model can eliminate the influence of uncertainty of wind power, photovoltaic and load, and promote the complementary and coordination of operation for CCHP virtual power plant.