A Novel Generation Shedding Procedure for Power Management System in Industrial Power Plants

E. Asadi, H. Khoshkhoo, A. Parizad
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Abstract

Following a disturbance in an islanded industrial power plant, if the power imbalance between generation and load is not eliminated quickly, under/over voltage and frequency relays may quickly trip sensitive loads (like petrochemical ones) and results in significant economic loss. Accordingly, the main purpose of this paper is to propose a generation shedding procedure for Power Management System (PMS) to execute timely and optimal control measures to maintain voltage and frequency within the acceptable range and prevent the operation of over-voltage and frequency relays. In this method, in the first moments after a short circuit occurrence in a load feeder, which causes an overcurrent relay to operate and remove some loads from the grid, the proposed feature set is calculated to determine the required generation shedding amount by an artificial neural network (ANN). The results of dynamic simulations performed using DIgSILENT PowerFactory software in a real industrial power plant show that the implementation of these control measures will prevent the operation of the protection system, and eventually, the power plant will reach a new stable equilibrium point.
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工业发电厂电源管理系统的一种新型脱电程序
孤岛工业电厂发生扰动后,如果不能迅速消除发电负荷之间的功率不平衡,欠/过压和频率继电器可能会迅速跳闸敏感负荷(如石油化工负荷),造成重大经济损失。因此,本文的主要目的是提出一种电源管理系统(PMS)的发电脱落程序,以便及时执行最优控制措施,使电压和频率保持在可接受的范围内,防止过压和频率继电器的动作。该方法利用人工神经网络(ANN)计算所提出的特征集,并在负载馈线发生短路后的最初时刻,通过过流继电器运行并从电网中移除部分负载,从而确定所需的发电量。利用DIgSILENT PowerFactory软件对实际工业电厂进行动态仿真,结果表明,这些控制措施的实施将防止保护系统的运行,最终使电厂达到一个新的稳定平衡点。
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