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首页> 外文期刊>International journal of electrical and power engineering >Modified Genetic Algorithm Based Load Frequency Controller for Interconnected Power Systems
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Modified Genetic Algorithm Based Load Frequency Controller for Interconnected Power Systems

机译：基于改进遗传算法的互联电力系统负荷频率控制器

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摘要

Power engineers have the responsibility to deliver economically, adequate and quality power to the consumers. In order to achieve this, the power system must be maintained at the desired operating level by suitable modern control strategies. The controlling of power system is becoming increasingly more complex due to large interconnections. The load frequency control is very important in power system operation and control for supplying sufficient and reliable electric power with good quality. This study deals with the application of real coded genetic algorithm for optimizing the gain of a proportional integral controller for load frequency control of interconnected power systems. Non-linearities such as Governor Dead Band (GDB) and Generation Rate Constraints (GRC) for a two-area reheat thermal power system have been included. Floating point representation has been used, since it is more consistent, more precise and leads to faster convergence. The simulation results confirm the designed control performance of the proposed controller.
机译：电力工程师有责任向消费者提供经济，充足和优质的电力。为此，必须通过适当的现代控制策略将电源系统维持在所需的运行水平。由于大量的互连，电力系统的控制变得越来越复杂。负载频率控制对于电力系统的运行和控制非常重要，它可以提供足够的质量和可靠的电力。这项研究涉及实数编码遗传算法在优化比例积分控制器的增益中的应用，该比例积分控制器用于互连电力系统的负载频率控制。包括了两区域再热火电系统的非线性，例如总督死区（GDB）和发电率约束（GRC）。浮点表示法已被使用，因为它更一致，更精确并导致更快的收敛。仿真结果证实了所提出控制器的设计控制性能。

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