Under-frequency Load Shedding on the Performance Time Delay Relays of Transmission lines with difference Controllers

Darius Muyizere, Lawrence K. Letting, B. Munyazikwiye
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引用次数: 1

Abstract

This paper analyses the load shedding methods for the impact of communication delays. Therefore, the research investigates the impacts and effects of communication networks in the grid systems which might cause imperfections such as delays and noise among others related to relays. The model of the power system and the design of the controllers are done using Simulink, the Matlab software. The controllers are designed to output power imbalance based on frequency deviation during various systems under frequency conditions. They also shed loads continuously until the frequency is restored within the safe operating range. Different cases of the system under frequency are used to analyze the performance of the grasshopper optimization algorithm (GOA) proposal based on under-frequency load Shedding UFLS, a comparison with Traditional and particle swarm optimization (PSO). UFLS is performed due to various disturbances. It has been found that a GOA method provides excellent communication networks and reduces the size of the load is shed. Moreover, and what’s more, GOA achieves the fastest solution we’ve ever used in IEEE 14 Bus system.
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不同控制器下传输线性能延时继电器的低频减载
本文分析了针对通信延迟影响的减载方法。因此,该研究调查了电网系统中通信网络的影响和影响,这些影响和影响可能会导致延迟和噪声等与继电器相关的缺陷。利用Matlab软件Simulink进行了电力系统的建模和控制器的设计。控制器的设计是为了在各种频率条件下,根据频率偏差输出各种系统的功率不平衡。它们还不断地减载,直到频率恢复到安全工作范围内。利用系统在不同频率下的情况,分析了基于低频减载UFLS的蚱蜢优化算法(GOA)的性能,并与传统算法和粒子群算法(PSO)进行了比较。UFLS是由于各种干扰而进行的。研究发现,GOA方法提供了良好的通信网络,并减少了负载的脱落。更重要的是,GOA实现了我们在IEEE 14总线系统中使用过的最快的解决方案。
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