现代电力2011，Vol.28Issue(6)：87-91,5.
基于协调粒子群算法的含风电场电力系统最优潮流计算
The Optimum Power Flow Calculation of Power Systems with Wind Power Farms Based on Coordinated Particle Swarm Algorithm
摘要
Abstract
Affected by the wind regime, performance of wind turbine units and property of power system, large -scale wind power integration can cause voltage fluctuation. The wind power has the characteristics of uncontrollability, randomness and intermittence, so the output of wind power can't be forecasted accurately, which makes the power flow calculation with wind power access become a more complicated and contiguous problem, and the conventional algorithm is difficult to obtain suitable solution. In this paper, the objective is the minimization of voltage fluctuation and active power loss, and the improved PSO algorithm is used to optimize power flow calculation with wind power integration. Taking the IEEE14 -bus power system as study case, the effectiveness of proposed model and algorithm is verified by comparison with that of previous PSO algorithm. In addition, this method can reduce reactive loss and restrain voltage fluctuation, which has considerable reference value.关键词
含风电场电力系统/最优潮流/协调PSO算法Key words
power systems with wind power integration/ optimum power flows coordinated PSO algorithm分类
信息技术与安全科学引用本文复制引用
吴杰康,程鹏飞,赵莎莎..基于协调粒子群算法的含风电场电力系统最优潮流计算[J].现代电力,2011,28(6):87-91,5.基金项目
国家自然科学基金项目(50767001) （50767001）
高等学校博士学科点专项科研基金资助项目(20094501110002) （20094501110002）
广西自然科学基金项目(2011jjA60017) （2011jjA60017）
广西壮族自治区研究生教育创新计划项目(105930901001,105930904068). （105930901001,105930904068）
