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首页> 外文期刊>International journal of electrical power and energy systems >Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system
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Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system

机译:基于约束极值优化的鲁棒负荷频率控制的多区域互联电力系统

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摘要

This paper proposes a robust proportional-integral (PI) controller with its parameters designed by constrained population extremal optimization for load frequency control problem of multi-area interconnected. During the process of optimization, the robust performance index is used as fitness function, where linear matrix inequalities technique is employed to describe the H-infinity constraint, and the taking error performance requirement such as integral time absolute error is incorporated as another constraint. Three different two-area interconnected power systems are used as test systems to demonstrate the effectiveness of the proposed controller by comparing with other PI control methods and one optimized model predictive control. In addition, in order to investigate the performance of proposed controller for the LFC problem of large scale system, a three-area interconnected power system is used as another test system. The comprehensive experimental results fully demonstrate that the proposed control scheme in this paper performs better than other control strategies on the most considered scenarios under the conditions of load disturbance and parameters uncertainties in terms of system response and control performance indices.
机译:针对多区域互联的负荷频率控制问题,提出一种鲁棒的比例积分(PI)控制器,其参数通过约束人口极值优化设计。在优化过程中,将鲁棒性能指标用作适应度函数,其中使用线性矩阵不等式技术描述H-无穷大约束,并将积分时间绝对误差等取误差性能要求作为另一约束。通过将三种不同的两区域互连电源系统用作测试系统,通过与其他PI控制方法和一种优化的模型预测控制进行比较,证明了所提出控制器的有效性。另外,为了研究所提出的控制器在大型系统的LFC问题上的性能,将三区域互连电源系统用作另一个测试系统。综合的实验结果充分证明,本文提出的控制方案在负载扰动和参数不确定性条件下,在系统响应和控制性能指标方面,在考虑最广泛的情况下比其他控制策略表现更好。

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