Distributed generators (DG) using renewable energy sources (RESs) have been attracting special attention within distribution systems. However, a large amount of DG penetration causes voltage deviation and reverse power flow in the smart grid. Therefore, the smart grid needs a solution for voltage control, power flow control and power outage prevention. This paper proposes a decision technique of optimal reference scheduling for a battery energy storage system (BESS), inverters interfacing with a DG and voltage control devices for optimal operation. Moreover, the reconfiguration of the distribution system is made possible by the installation of a loop power flow controller (LPC). Two separate simulations are provided to maintain the reliability in the stable power supply and economical aspects. First, the effectiveness of the smart grid with installed BESS or LPC devices is demonstrated in fault situations. Second, the active smart grid using LCPs is proposed. Real-time techniques of the dual scheduling algorithm are applied to the system. The aforementioned control objective is formulated and solved using the particle swarm optimization (PSO) algorithm with an adaptive inertia weight (AIW) function. The effectiveness of the optimal operation in ordinal and fault situations is verified by numerical simulations.
Abstract:The rapid change in economic growth and human civilization has led to a dramatic increase in energy utilization and electricity demand. That faces nations with the challenge of maintaining cost-effective and clean power energy production. This paper aims to present Afghanistan electricity sector development and energy resources exploitation in a broad context. With the global growing interest in Afghanistan rehabilitation, this paper presents energy development trends in Afghanistan. Besides, the future outlook up to 2032 and the challenges that face electricity sector are highlighted. This study tries to emerge the historical development, current status, and future direction of Afghanistan electricity sector till 2032, in a precise collection.
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