风光火打捆发电容量优化配置

Optimization of Qind-Fire Bundling Capacity Allocation

风光火打捆送端系统中风力发电和光伏发电,无法完全控制其出力大小,在某个时间断面只能减少不能增加其出力大小,需要在火电等其他出力可控机组的配合下向负荷供电。风机和光伏出力存在一定的互补性,盲目投入风机、光伏装机容量会不同程度影响发电成本。针对此问题,模拟风光火打捆送端系统,构建了含风光机组装机容量优化配置的不确定性机组组合的数学模型,利用MATLAB/YALMIP/CPLEX进行算例仿真,仿真结果说明了风光火打捆系统中存在容量配置最优解,为大规模风光装机接入电网的装机容量优化配置提供技术支撑。

Wind power and photovoltaic power generation in the wind-solar-fired bundled sending-end system cannot fully control its output.At a certain time,the cross-section can only be reduced but cannot increase its output.It needs to supply power to the load with the cooperation of other output controllable units such as thermal power.There is a certain degree of complementarity between wind turbines and photovoltaic output.Blind investment in wind turbines and photovoltaic installed capacity will affect power generation costs to varying degrees.In response to this problem,this paper simulates the wind and solar bundling sending end system,and constructs a mathematical model of the uncertain unit combination including the optimal configuration of the wind and solar assembly machine capacity.The simulation example is carried out by MATLAB/YALMIP/CPLEX.There is an optimal solution for capacity configuration in the system,which provides technical support for the optimal configuration of installed capacity for large-scale wind and solar installations connected to the grid.