电力系统保护与控制Issue(1)：197-203,7.
计及风电场概率模型的多目标无功优化
Multi-objective reactive power optimization considering wind farm probabilistic model
摘要
Abstract
With the increasing of installed capacity, wind farm that incorporates into power network has great influence on power system. The uncertainty analysis of wind farm incorporating into power network becomes more important. Firstly, the SRSM is applied to the uncertainty analysis. A probabilistic load flow model considering the wind farm is built with SRSM. Secondly, combining the AMDPSO with the probabilistic load flow model, a multi-objective reactive power optimization model considering the expectation value of active power losses and bus voltage beyond limits probability is built. Then, the simulation is conducted for IEEE-14 bus system integrated with wind farms. And the paper calculates bus voltage cumulative distribution by SRSM and Monte Carlo. The results show that SRSM has a high precision and efficiency. At last, a multi-objective reactive power optimization model applied to IEEE-14 bus system is simulated. The experiment proves that AMDPSO can avoid stagnation effectively compared with IWPSO. This work is supported by National Natural Science Foundation of China (No. U1134205 and No. 51007074)).关键词
随机响应面法/概率潮流/自适应变异/粒子群算法/无功优化Key words
SRSM/probabilistic load flow/adaptive mutation/particle swarm optimization/reactive power optimization分类
信息技术与安全科学引用本文复制引用
刘志刚,刘欢,柳杰..计及风电场概率模型的多目标无功优化[J].电力系统保护与控制,2013,(1):197-203,7.基金项目
国家自然科学基金(U1134205,51007074) （U1134205,51007074）
教育部新世纪优秀人才支持计划项目(NECT-08-0825) （NECT-08-0825）
中央高校基本科研业务费专项资金资助项目(SWJTU11CX141) （SWJTU11CX141）
