测试科学与仪器2020，Vol.11Issue(4)：365-372,8.DOI:10.3969/j.issn.1674-8042.2020.04.008
计及储能参与的新能源发电系统多目标优化调度
Multi-objective optimization scheduling for new energy power system considering energy storage participation
摘要
Abstract
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.关键词
新能源发电系统/多目标优化/储能参与/运行成本/自回归滑动平均模型Key words
new energy power system/multi-objective optimization/energy storage participation/operation cost/autoregressive moving average model分类
信息技术与安全科学引用本文复制引用
贠韫韵,董海鹰,陈钊,黄蓉,丁坤..计及储能参与的新能源发电系统多目标优化调度[J].测试科学与仪器,2020,11(4):365-372,8.基金项目
Science and Technology Project of State Grid Corporation of China(No.SGGSKY00FJJS1800140) （No.SGGSKY00FJJS1800140）
