摘要
风电和光伏等出力不确定的电源在电网的渗透率逐渐增高,给电网的潮流优化带来一定影响。为此,本文针对考虑风电光伏出力不确定性的电网多目标最优潮流进行了研究。首先分析了风机、光伏出力的不确定性,建立了相关的数学概率模型。然后建立了以电网运行成本、有功损耗、电压偏移最小为目标的多目标优化模型。针对本文模型,提出利用量子粒子群算法进行求解。最后利用IEEE30节点系统进行仿真分析,对比说明了考虑风机和光伏出力与否对最优潮流的影响。
The penetration of power sources with uncertain output such as wind power and photovoltaics in the power grid is gradual-ly increasing,which has a certain impact on the power flow optimization of the grid.To this end,a multi-objective optimal power flow considering the uncertainty of wind power and photovoltaic is proposed.Firstly,the uncertainty of wind tur-bine and photovoltaic generation is analyzed,and the relevant mathematical probability model is established.Then,a multi-objective optimization model with the objective of operating cost,active loss and minimum voltage deviation of the power grid is established.Then,it is proposed to use quantum particle swarm algorithm to solve the model.Finally,the IEEE30 node system is used for simulation analysis,and the comparison shows the influence of the wind and photovoltaic output on the optimal power flow.
作者
程昭龙
李鸿奎
李福建
曾宪振
牛文惠
CHENG Zhao-long;LI Hong-kui;LI Fu-jian;ZENG Xian-zhen;NIU Wen-hui(State Grid Heze Power Supply Company,Heze 274000 China)
出处
《自动化技术与应用》
2021年第10期11-16,共6页
Techniques of Automation and Applications
关键词
风机光伏
出力不确定
量子粒子群算法
多目标最优潮流
wind generation and photovoltage generation
generation uncertainty
quantum-inspired PSO algorithm
multi objective optimal power flow
