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Upgrading power system in Egypt towards smart grid

机译:将埃及的电力系统升级为智能电网

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The world is turning towards smart grids. However, upgrading the existing systems could be the easiest solution for such approach. On the other hand, Load Frequency Control (LFC) is a critical issue in the dynamical operation of power systems. This paper presents LFC scheme for a realistic Power System operational in Egypt(EPS) with inherent nonlinearities. Moreover, the speed response of every subsystem is different from each other. The effects of the physical constraints such as Generation Rate Constraints (GRC) of power plants and speed governor dead band (blackash) are taken into consideration. In this paper, each subsystem controller has been designed independently to guarantee the stability of the overall closed loop system. Hence, optimal PID controllers based on Particle Swarm Optimization (PSO) algorithm are proposed for every subsystem separately to regulate the frequency and track the load. In order to investigate the ability of upgrading the system to smart grids, the performance of the proposed decentralized PID controller of each subsystems is compared with aggregate one. The proposed model can achieve a robust stability against changing the system parameters and operating load condition for the EPS with multi-source environment. The results by nonlinear simulation Matlab/Simulink for the EPS LFC approves that the decentralized model of the controller gives the same performance as the aggregated one. However, in case of large disturbances, the aggregated controller design cannot handle the fault while the decentralized scheme is more robust and effective against all disturbances and operating conditions. In contrast, in the advanced smart grids, the aggregated design would give a better flexible control strategy for the system.
机译:世界正在转向智能电网。但是,升级现有系统可能是此方法最简单的解决方案。另一方面,负载频率控制(LFC)是电力系统动态运行中的关键问题。本文提出了一种具有固有非线性的埃及实际电源系统(EPS)的LFC方案。而且,每个子系统的速度响应都互不相同。考虑了物理约束的影响,例如发电厂的发电率约束(GRC)和调速器死区(blackash)。在本文中,每个子系统控制器都是独立设计的,以确保整个闭环系统的稳定性。因此,针对每个子系统分别提出了基于粒子群优化(PSO)算法的最优PID控制器,以调节频率并跟踪负载。为了研究将系统升级到智能电网的能力,将所建议的每个子系统的分散PID控制器的性能与汇总的性能进行了比较。对于多源环境下的EPS,该模型可以针对改变系统参数和运行负载条件实现鲁棒的稳定性。 Matlab / Simulink的非线性仿真结果表明,EPS LFC的分散模型的性能与聚合模型的性能相同。但是,在出现较大干扰的情况下,聚集控制器设计无法处理故障,而分散式方案对于所有干扰和运行条件都更加健壮和有效。相反,在高级智能电网中,聚合设计将为系统提供更好的灵活控制策略。

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