Robust load frequency control using genetic algorithms and linear matrix inequalities
Robust load frequency control using genetic algorithms and linear matrix inequalities
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DOI：
10.1109/tpwrs.2003.811005
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发表时间：
2003-05
影响因子：
6.6
通讯作者：
D. Rerkpreedapong;A. Hasanović;A. Feliachi
中科院分区：
文献类型：
--
作者：
D. Rerkpreedapong;A. Hasanović;A. Feliachi
本文提出了两种用于负荷频率控制的鲁棒分散控制设计方法。第一种是基于H/sub /spl infin//控制设计，使用线性矩阵不等式（LMI）技术，以获得对不确定性的鲁棒性。第二个控制器具有更简单的结构，这是更有吸引力的实现的角度来看，它是调整所提出的新的鲁棒控制设计算法，以实现相同的鲁棒性能作为第一个。更具体地说，遗传算法（GAs）优化用于调整的比例积分（PI）控制器的控制参数受到H/sub /spl infin//约束的LMI。因此，第二种控制设计称为GALMI。这两个建议的控制器进行了测试的三个区域的电力系统与三种情况下的负载扰动，以证明其鲁棒性能。
In this paper, two robust decentralized control design methodologies for load frequency control (LFC) are proposed. The first one is based on H/sub /spl infin// control design using linear matrix inequalities (LMI) technique in order to obtain robustness against uncertainties. The second controller has a simpler structure, which is more appealing from an implementation point of view, and it is tuned by a proposed novel robust control design algorithm to achieve the same robust performance as the first one. More specifically, genetic algorithms (GAs) optimization is used to tune the control parameters of the proportional-integral (PI) controller subject to the H/sub /spl infin// constraints in terms of LMI. Hence, the second control design is called GALMI. Both proposed controllers are tested on a three-area power system with three scenarios of load disturbances to demonstrate their robust performances.