摘要
大规模海上风电的出力具有很强的随机性和波动性,增大了电力系统无功电压控制的难度。为此,首先基于Kullback-Leibler散度衡量海上风电场风速的真实概率分布与参考概率分布间的距离,构建风速概率分布模糊集。然后,同时考虑输电网和海上风电场的运行约束,建立含海上风电场电力系统的分布鲁棒无功优化模型。为了在计算过程中保持输电网与海上风电场信息的私秘性,基于同步型的交替方向乘子法对输电网和海上风电场区域进行空间解耦,将原集中式优化模型分解为各区域对应的子模型并进行分布式迭代求解。其中,各区域的子模型为多层模型,通过在分布式算法中嵌入列与约束生成算法来迭代求解。最后,在含2个海上风电场的IEEE 39节点系统上进行算例分析。结果表明,所建立模型的决策结果能够在考虑海上风速不确定性的前提下,有效降低系统网损和电压偏差。
The output of large-scale offshore wind power is highly random and volatile,which increases the difficulty of reactive power and voltage control of the power system.In this regard,the distance between the true probability and the reference probability distribution of wind speed in offshore wind farms was first measured based on Kullback-Leibler divergence,thereby constructing a probability distribution ambiguity set of wind speed.Then,taking into account the operating constraints of the transmission network and offshore wind farms,a distributed robust reactive power optimization model for the power system containing offshore wind farms was established.In order to maintain the information privacy of the transmission grid and offshore wind farms during the optimization calculation process,the transmission grid and offshore wind farm areas were spatially decoupled based on the synchronous alternating direction multiplier method(ADMM),thereby decomposing the original centralized optimization model into corresponding regions.The sub-model was solved iteratively in a distributed manner.Among them,the sub-models of each area were multi-layer models,which were solved iteratively by embedding column and constraint generation algorithms in distributed algorithms.Finally,the correctness and effectiveness of the proposed model were verified in a modified IEEE 39 bus system containing two offshore wind farms.The results indicate that the proposed model decision results can effectively reduce the system network loss and voltage deviation while considering the uncertainties of random variables.
作者
刘宇
朱琼海
苗璐
邓文扬
樊玮
肖晃庆
LIU Yu;ZHU Qionghai;MIAO Lu;DENG Wenyang;FAN Wei;XIAO Huangqing(Guangdong Power Grid Co.,Ltd.,Guangzhou,Guangdong 510600,China;School of Electric Power Engineering,South China University of Technology,Guangzhou,Guangdong 510641,China)
出处
《广东电力》
北大核心
2024年第6期21-31,共11页
Guangdong Electric Power
基金
中国南方电网有限责任公司科技项目(GDKJXM20198236)。
关键词
电力系统
海上风电场
无功优化
分布鲁棒优化
分布式计算
交替方向乘子法
power system
offshore wind farm
reactive power optimization
distributed robust optimization
distributed computing
alternating direction multiplier method
