基于改进扩大邻域禁忌搜索算法的电力系统无功优化  

Reactive Power Optimization of Power System Based on Further Improved Tabu Search Algorithm

作　　者：王勇[1] 杨月红[2] 晁光[2] 孙蕾 

机构地区：[1]苏州科技大学,江苏苏州215011 [2]西安交通大学,陕西西安710049 [3]西北勘测设计院,陕西西安710065

出　　处：《陕西电力》2014年第3期24-26,31,共4页Shanxi Electric Power

基　　金：国家高技术发展计划资助项目(863计划)(2012AA050206)

摘　　要：阐述了改进扩大邻域禁忌搜索(FITS)算法,建立了基于FITS算法的无功优化数学模型,并采用IEEE 14节点模型进行算例分析。计算结果表明,相较于基本禁忌算法(TS)及扩大邻域禁忌算法(ITS),改进后的算法收敛快,寻优能力强,在不考虑严格的实时性要求时,基于FITS算法的优化能使网损有较大程度的降低,且电压质量也有明显改善,提高了系统运行的合理性和经济性。因此,FITS算法在改善电压质量、降低电网损耗方面更具经济价值,证明了FITS算法在电力系统经济运行中的有效性和合理性。An improved extending neighbourhood structure（FITS） tabu search algorithm for reactive power optimization is proposed,and with the establishing mathematic model based on FITS,an example with IEEE14 node model is carried out.The result shows that the FITS is fast convergent and has good optimization ability,meanwhile,the FITS algorithm can decrease the power loss sharply and the power quality improves a lot too,when ignoring the real time requirement strictly,which enhances the rationalization and economy of the system.Therefore,FITS algorithm is more economical in improving the power quality and decreasing the power losses,which proves the rationalization and economy of FITS algorithm in the economical operation of power systems.

关 键 词：禁忌搜索法 改进扩大邻域结构 安全经济 无功优化 

分 类 号：TM714.3[电气工程—电力系统及自动化]