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Distributed generation approach for single step system restoration during cold load pickup

机译:分布式发电方法,用于在冷负荷拾取期间进行单步系统恢复

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摘要

When a system is restored after an extended outage, the demand is greater than that was before the outage due to the cold load pickup (CLPU) condition. In this paper, a particle swarm optimization (PSO) algorithm is used to find the optimal sizing and siting of distributed generation (DG) units for simultaneous single step restoration of transmission and distribution networks. The aim of the proposed DG allocation algorithm is to reduce the distribution substation transformer loss of life due to overloading and to reduce the lost load and hence the additional power demand caused by CLPU. The capacity of the DG required is determined on the basis of additional power demand and the load diversity preserved. The proposed algorithm is applied to the Egyptian 66 kV transmission network in the city of Alexandria including a 33-bus and a 69-bus, 11 kV primary distribution feeders.
机译:如果在长时间中断后恢复系统,则由于冷负载启动(CLPU)条件,需求将比中断前的需求要大。在本文中,使用粒子群优化(PSO)算法找到分布式发电(DG)单元的最佳规模和选址,以便同时进行输配电网络的单步恢复。提出的DG分配算法的目的是减少配电变电站变压器因过载而造成的寿命损失,并减少损失的负载,从而减少CLPU引起的额外电力需求。所需DG的容量取决于额外的电源需求和保留的负载分集。所提出的算法被应用于亚历山大市的埃及66 kV输电网络,包括33总线和69总线的11 kV主配电馈线。

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