摘要
通过在风电场站内优化配置储能资源,可以有效平抑风力发电的出力波动,提高风电的并网消纳水平。结合多场景随机规划和序贯蒙特卡洛模拟方法,提出了考虑储能寿命折损的风电场站内储能优化配置方法。首先,利用考虑风电出力和负荷典型场景集的随机规划模型,求解风电场站内储能的初始配置方案。其次,利用自回归滑动平均模型模拟出风电场全年时序风速,利用序贯蒙特卡洛模拟出机组、线路工作状态时序,对配置初始储能方案的联合发电系统进行全年运行模拟。然后,基于运行模拟中储能的等效循环寿命和储能容量的收益投资比对储能初始配置方案进行修正。仿真结果表明,所提方法能够有效考虑风电场全年的出力变化,以及储能循环寿命折损的影响,获得合理的储能优化配置方案。
Optimal sizing of energy storage system（ESS） for wind farms is an effective method for mitigating wind power fluctuations and reducing wind power spillage. By combining scenario-based stochastic programming and sequential Monte Carlo simulation, this paper proposes a hybrid method for optimal ESS sizing for wind farms considering wind power uncertainties and ESS life losses. Firstly, an initial ESS configuration scheme is obtained by solving the scenario-based stochastic programming model. Then, the hourly expected wind power is simulated based on auto-regressive moving average model, and the hourly states of each generation and line are obtained with sequential Monte-Carlo simulation. A multi-period DC optimal power flow is used for daily chronological simulation of the combined system with the initial ESS configuration scheme. Finally, modifications on the initial ESS configuration scheme are made based on income/investment ratio of ESS capacity and ESS cycle life obtained with chronological simulation. Numerical results show that this method can obtain an effective and reasonable ESS configuration scheme considering wind power uncertainties and ESS life losses.
作者
吴玮坪
胡泽春
宋永华
WU Weiping, HU Zechun, SONG Yonghua(Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing 100084, Chin)
出处
《电网技术》
EI
CSCD
北大核心
2018年第4期1055-1062,共8页
Power System Technology
基金
国家重点研发计划项目(2016YFB0900500)~~
