修正生物地理学优化在互联多单元多源交直流并联系统AGC中的应用

Dipayan Guha, P. Roy, Subrata Banerjee
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引用次数: 5

摘要

尝试将基于生物地理学的优化方法及其改进版本有效地应用于解决负荷频率控制(LFC)问题。研究了具有热电、水电和燃气电厂的两区互联多机组多源电力系统。将比例-积分-导数控制器作为LFC系统的二级控制器,通过基于目标函数的积分时间绝对误差最小化算法对其增益进行调节。通过与差分进化(DE)、基于教学学习的优化(TLBO)等进化算法在相似测试系统上的比较,验证了所提算法的有效性。采用不同目标函数如积分平方误差、积分绝对误差、积分时平方误差判据和不同加载条件对算法的鲁棒性进行了检验。关键分析结果表明,该方法比DE、TLBO方法具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Modified Biogeography Based Optimization in AGC of an Interconnected Multi-Unit Multi-Source AC-DC Linked Power System
An attempt has been made for the effective application of biogeography based optimization and its modified version to solve load frequency control (LFC) problem. Two-area interconnected multi-unit multi-source power system having thermal, hydro and gas power plant without and with AC-DC link is considered for study. Proportional-integral-derivative controller is used as secondary controller in LFC system and its gains are tuned by proposed algorithms through minimization of integral time absolute error based objective function. The results confirm the effectiveness of proposed algorithms after comparing results with other evolutionary algorithms like differential evolution (DE), teaching learning based optimization (TLBO) for the similar test system. The robustness of proposed algorithm is checked with different objective functions like integral square error, integral absolute error, integral time square error criterions and under different loading conditions. Critical analysis of results reveals that proposed method gives better performance than that obtained with DE, TLBO.
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