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Voltage stability enhancement based on particle swarm optimization and LP technique

机译:基于粒子群优化和LP​​技术的电压稳定性增强

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Many traditional and Artificial Intelligence techniques have been projected for reactive power dispatch to advance voltage stability of the system. This paper presents particle swarm optimization (PSO) approach for system parameters development and optimal reactive power dispatch. The transformers tap changers, Generator exciters, switchable VAR sources/Static VAR compensators (SVC) are used as control variables for advancement of system parameters and voltage stability. The suggested methodology is based on the minimization of sum of the squares of L-index value at all load buses. The advanced PSO Algorithm is tested on an IEEE Equivalent New England 39-bus system. The performance of PSO is compared with conventional Linear Programming (LP) method and outcomes are presented for illustration purpose. The correctness of voltage stability is measured in terms of system parameters.
机译:已经计划了许多传统和人工智能技术来进行无功功率分配,以提高系统的电压稳定性。本文提出了用于系统参数开发和最优无功分配的粒子群优化(PSO)方法。变压器分接开关,发电机励磁机,可切换VAR源/静态VAR补偿器(SVC)用作控制变量,以提高系统参数和电压稳定性。建议的方法基于所有负载母线的L指标值平方和的最小化。先进的PSO算法在IEEE等效的New England 39总线系统上进行了测试。将PSO的性能与传统的线性规划(LP)方法进行了比较,并给出了结果以供说明。电压稳定性的正确性是根据系统参数来衡量的。

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