采用进化算法实现提高电压稳定性的FACTS装置

D. Kumar, Vikas Gupta, R. C. Jha
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引用次数: 8

摘要

电压稳定被认为是电力系统稳定可靠运行的关键因素。本文采用基于教学学习的优化技术(TLBO)和布谷鸟搜索算法(CSA)对ieee30总线系统中所有总线的电压分布进行了维护。静态同步补偿器(STATCOM)和静态同步串联补偿器(SSSC)是用于无功补偿的FACTS器件。根据电压灵敏度指标dV/dS对STATCOM进行优化定位。电压敏感指标值最高的母线被认为是电压最敏感的母线(弱母线),STATCOM将被放置在弱母线上。根据线路的无功潮流来确定SSSC的位置,无功潮流最高的线路作为SSSC的最佳配置线路。采用TLBO和CSA法获得最优电压控制参数(STATCOM额定值;SSSC评级;点击设置;Q-gen评级)。最后从电压稳定性的角度对TLBO和CSA进行了比较。
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Implementation of FACTS devices for improvement of voltage stability using evolutionary algorithm
Voltage stability is considered as a very crucial factor for a stable and reliable operation of power system. In this paper an IEEE 30 bus system has been taken into account for maintaining the voltage profile at all the buses using Teaching Learning Based Optimization technique (TLBO) and Cuckoo Search Algorithm (CSA). Static Synchronous Compensator (STATCOM) and Static Synchronous Series Compensator (SSSC) are the FACTS devices which are employed for reactive power compensation. Optimal location of STATCOM is taken on the basis of voltage sensitivity indicator dV/dS. The bus which has highest value of voltage sensitivity indicator will be considered as most voltage sensitive bus (weak bus) and STATCOM will be placed at the weak buses. SSSC location will be taken on the basis of reactive power flow through the line and the line with the highest reactive power flow will be considered as the optimal line for placement of SSSC. TLBO and CSA is applied for getting optimal rating of voltage controlling parameters (STATCOM rating; SSSC rating; tap setting; Q-gen rating). Lastly a Comparision between TLBO and CSA has given for voltage stability point of view.
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