Load margin analysis for steady state voltage stability using PSO technique

A. Indira, Swarnasri Mandal, P. Acharjee, S. S. Thakur
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Abstract

For steady state voltage stability, load margin analysis is one of the efficient procedures. The mathematical modeling of load margin is formulated as an optimization problem considering in-equality constraints - voltage limits and reactive power generation limits of PV buses. Two particle swarm optimization (PSO) techniques namely adaptive PSO (APSO) and Hybrid PSO (HPSO) are developed. In APSO technique, new formulas are designed to get adaptive tuning parameters. In HPSO technique, breeding and subpopulation of genetic algorithm (GA) are incorporated in PSO to add diversity & to overcome local optima. The effectiveness and efficiency of the proposed techniques is established giving different test results of IEEE standard systems.
基于粒子群算法的稳态电压裕度分析
对于稳态电压稳定,负荷裕度分析是一种有效的方法。将负荷裕度的数学模型表述为考虑不相等约束的优化问题——电压限值和无功功率限值。提出了自适应粒子群优化(APSO)和混合粒子群优化(HPSO)两种粒子群算法。在APSO技术中,设计了新的公式来获得自适应调谐参数。在粒子群优化技术中,将遗传算法的育种和亚种群引入粒子群优化中,以增加多样性和克服局部最优问题。给出了不同IEEE标准系统的测试结果,验证了所提技术的有效性和高效性。
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