使用布谷鸟搜索算法控制互联电力系统的负载频率

Soumya Mishra, Pujari Harish Kumar, Rajarajan Ramasamy, Renjini Edayillam Nambiar, Praveena Puvvada
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摘要

本文提出了一种新的时域多目标函数方法,用于解决互联电力系统中的负载频率控制问题。针对频率变化的过冲值和沉降时间值以及连接线功率交换,对各地区互联电力系统的性能进行了验证。创建目标函数的目的是通过减少过冲和实现更快的时域平稳时间来增强比例积分导数 (PID) 控制器的设置。利用自然启发的布谷鸟搜索优化(CSA)技术,在双区火力发电厂中评估了所提出的时域多目标函数的效率。通过将测试系统的时域仿真结果与现有的基于积分误差的目标函数 IAE、ISE、ITAE 和 ITSE 进行比较,验证了所提出的目标函数。此外,还进行了敏感性分析,以分析所提出的多目标函数在各种不确定条件下的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Load frequency control of interconnected power system using cuckoo search algorithm
This paper presents a new time-domain multi-objective function approach for solving load frequency control issue in an interconnected power system. The performance of interconnected power system in each area is validated for overshoot and settling time values of frequency change and tie-line power exchange. An objective function is created with the goal of enhancing proportional integral derivative (PID) controller settings by reducing overshoot and achieving faster time-domain settling times. The efficiency of the proposed time-domain multi-objective function is evaluated in a two-area thermal power plant using a nature-inspired cuckoo search optimization (CSA) technique. By comparing the time-domain simulation results of the test system with the existing integral error-based objective functions IAE, ISE, ITAE, and ITSE, the proposed objective function is validated. Further, a sensitivity analysis were carried out to analyze the robustness of the proposed multi-objective function under various uncertain conditions.
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