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Performance Enhancement of Automatic Generation Control for a Multi-Area Power System in the Presence of Communication Delay

机译:通信延迟存在下多区域电力系统自动生成控制的性能提高

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This paper presents the effect of communication delay on Automatic Generation Control (AGC) and introduces a Genetic Algorithm (GA) based control to achieve the optimal performance of Load Frequency Control (LFC) in the presence of communication delay. Future of power system and smart grid has tied in open communication infrastructures and study of power system without considering communication parameters will not be practical, realistic and accurate. Effect of communication parameters such as delay of communication link and packet loss has not been considered in most of the studies investigating automatic generation control and its performance using different methods and optimization techniques. This paper investigates the effect of communication delay on decentralized load frequency control in different scenarios. Integrator controller is the most common controller in LFC studies because of its design simplicity. However, this study takes advantage of PID controller, which has the best performance but the most complex design using genetic algorithm to find the optimal gains of the PID controllers. The results show that by use of genetic algorithm, automatic generation control still can keep track of load deviations and keep the frequency and tie-lines power close to their nominal and scheduled values even in the presence of significant communication delay.
机译:本文介绍了通信延迟对自动生成控制(AGC)的影响,并引入了基于遗传算法(GA)的控制,实现了负载频率控制(LFC)在存在通信延迟中的最佳性能。电力系统和智能电网的未来在开放的通信基础设施中绑定,电力系统的研究而不考虑通信参数将不实用,逼真和准确。在大多数研究采用不同方法和优化技术的大多数研究中,在大多数研究中都未考虑通信参数延迟和分组丢失的效果。本文研究了沟通延迟在不同场景中分散负载频率控制的影响。由于其设计简单,Integrator Controller是LFC研究中最常见的控制器。但是,本研究利用PID控制器,其具有最佳性能,但使用遗传算法最复杂的设计,找到PID控制器的最佳增益。结果表明,通过使用遗传算法,即使在存在显着通信延迟的情况下,自动化控制仍然可以跟踪负载偏差并保持频率和系列电源接近其标称和预定值。

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