考虑新能源消纳的源-荷协调多目标优化调度

中国西北地区弃风弃光现象严重,提高新能源消纳能力是电力部门面临的难题.针对此问题,提出了一种考虑新能源消纳的源-荷协调多目标优化调度方法.将负荷聚合商充当整合多种柔性负荷的商户,与常规电源协调参与电网调度,形成源-荷协调运行的优化调度模式.在此基础上,以新能源消纳量最大、系统运行费用最低及火电出力波动最小为优化目标,建立了多目标源-荷优化调度模型,并采用CPLEX对多目标优化模型进行求解.仿真结果验证了该调度方法可以提高新能源消纳能力,降低系统运行成本.

Multi-objective optimization scheduling for new energy power system considering energy storage participation

For the low utilization rate of photovoltaic power generation,taking a new energy power system constisting of concentrating solar power(CSP),photovoltaic power(PP)and battery energy storage system as an example,a multi-objective optimization scheduling strategy considering energy storage participation is proposed.Firstly,the new energy power system model is established,and the PP scenario generation and reduction frame based on the autoregressive moving average model and Kantorovich-distance is proposed.Then,based on the optimization goal of the system operation cost minimization and the PP output power consumption maximization,the multi-objective optimization scheduling model is established.Finally,the simulation results show that introducing energy storage into the system can effectively reduce the system operation cost and improve the utilization efficiency of PP.