期刊文献+

电力系统无功优化的内点非线性互补约束算法 被引量:25

Interior-point nonlinear algorithm with complementarity constraints for reactive-power optimization
在线阅读 下载PDF
导出
摘要 建立了一种含离散变量的电力系统无功优化的非线性互补约束模型,并提出相应的现代内点非线性互补算法。该方法先将变压器抽头和电容器组数等离散变量按连续化处理,进行无功优化计算,快速寻求离散变量的两界;用所得结果作为初始解,以离散变量的两界构造其互补约束条件。该方法有效地解决了传统方法求解离散量存在的时间与精度之间的矛盾,可精确求解无功优化中可调变压器抽头和可调电容器组别。经多个测试系统的计算结果表明,算法具有收敛性好、计算迅速的特点,能有效地解决含离散变量的大规模电力系统无功优化问题,满足在线运行的需要。 A nonlinear reactive-power optimization model with discrete variables and complementarity constraints is established and the corresponding interior-point nonlinear complementary algorithm is presented for power system. The discrete variables of transformer tap and capacitor bank are treated as continuous variables in reactive-power optimization calculation to quickly obtain their upper and lower bounds,which are used as the complementarity constraints of the model. The interior-point nonlinear algorithm is then used to calculate the best solution of transformer tap position and capacitor bank number,which coordinates the calculation time and precision more effectively than traditional methods. The calculative results of several test systems show that,the proposed algorithm has good convergence property and real-time performance,suitable for the on-line reactive-power optimization of large-scale power system With discrete variables.
出处 《电力自动化设备》 EI CSCD 北大核心 2010年第2期53-58,共6页 Electric Power Automation Equipment
基金 国家自然科学基金项目(50867001) 广西教育厅科技项目(200701MS145) 国家高校博士学科点专项科研基金(20060593002)~~
关键词 电力系统 无功优化 离散量 互补约束 内点理论 变压器抽头 电容器组别 power system reactive-power optimization discrete variable complementarity constraints interior point method transformer tap capacitor bank
  • 相关文献

参考文献23

  • 1丁晓莺,王锡凡,张显,胡泽春.基于内点割平面法的混合整数最优潮流算法[J].中国电机工程学报,2004,24(2):1-7. 被引量:33
  • 2ALBA E,TOMASSINI M. Parallelism and evolutionary algorithms [J]. IEEE Trans on Evolutionary Computation,2002,6(5):443-462.
  • 3程莹,刘明波.含离散控制变量的大规模电力系统无功优化[J].中国电机工程学报,2002,22(5):54-60. 被引量:99
  • 4LIANG C H,CHUNG C Y,WONG K P,et al. Parallel optimal reactive power flow based on cooperative co-evolutionary differential evolution and power system decomposition[J]. IEEE Trans on Power Systems,2007,22( 1 ) :249-257.
  • 5VARADARAJAN M,SWARUP K S. Differential evolutionary algorithm for optimal reactive power dispatch[J]. International Journal of Electrical Power & Energy,2008,30(8):435-441.
  • 6DELFANTI M,GRANELLI G P. Optimal capacitor placement using deterministic and genetic algorithms[J]. IEEE Trans on Power Systems, 2000,15 ( 3 ) : 1041 - 1 046.
  • 7VENKATESH B,SADASIVAM G,KHAN M A. A new optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy LP technique[J]. IEEE Trans on Power Systems, 2000,15(2) :844-851.
  • 8ZHAO B,GUO C X,CAO Y J. A muhiagent-based panicle swarm optimization approach for optimal reactive power dispatch [J]. IEEE Trans on Power Systems,2005,20(2) : 1070-1078.
  • 9梁才浩,段献忠,钟志勇,黄杰波.基于差异进化和PC集群的并行无功优化[J].电力系统自动化,2006,30(1):29-34. 被引量:21
  • 10石立宝,徐国禹.基于自适应进化规划的电网多目标优化运行[J].中国电机工程学报,2000,20(8):31-36. 被引量:12

二级参考文献30

共引文献188

同被引文献394

引证文献25

二级引证文献243

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部