遗传算法在电池储能两区电力系统AGC优化中的应用

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI:10.1109/CODIS.2012.6422208

S. Biswas, P. Bera

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引用次数: 14

摘要

本文研究了考虑蓄电池储能(BES)系统的互联再热系统的负荷频率控制问题。区域控制误差(ACE)用于蓄电池储能系统的电力系统控制。将控制器设计问题表述为优化问题。采用遗传算法(GA)搜索控制器增益的最优设置。采用时域仿真技术对电力系统和BES系统的性能进行了研究。结果表明，BES满足实际电力负荷的要求，能有效地减小频率和功率的峰值偏差，并能减小时间误差的稳态值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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GA Application to Optimization of AGC in Two-Area Power System Using Battery Energy Storage

This paper deals with load frequency control of an interconnected reheat thermal system considering battery energy storage (BES) system. Area control error (ACE) is used for the control of power system with battery energy storage system. The controllers design problem is formulated as an optimization problem. The genetic algorithm (GA) is used to search for optimal settings of controller gains. Time domain simulations are used to study the performance of the power system and BES system. Results reveal that BES meets requirements of real power load and very effective in reducing the peak deviations of frequency and tie-power and also reduces the steady state values of time error.

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2012 International Conference on Communications, Devices and Intelligent Systems (CODIS)

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