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"Reinforcement of Power System Performance Through Optimal Allotment of" by Sohrab Mirsaeidi, Shangru Li et al.

Owing to the acute shortage of electric power in the majority of countries, short-term measures such as installation of Distributed Generators (DGs) have attracted much attention in recent decades. Employment of DGs can provide numerous advantages for the power systems through reduction of losses, escalation of the voltage profile, as well as mitigation of pollutant emissions. However, in case they are not optimally allotted, they may even lead to aggravation of the network operation from different aspects. The aim of this paper is to explore the optimal size and location of DGs using metaheuristic optimization algorithms so that the network performance is enhanced. The salient feature of the proposed strategy compared to the previous works is that it contemplates optimal allotment of DGs under various objectives, i.e. minimization of total network active and reactive power losses, and Cumulative Voltage Deviation (CVD), with different weight values. Furthermore, the impact of enhancem ....

Distributed Generators , Cumulative Voltage Deviation , Grey Wolf Optimizer , Particle Swarm Optimization , Distributed Generator Dg , Enetic Algorithm Ga , Rey Wolf Optimizer Gwo , Article Swarm Optimization Pso , Ower Loss Minimization ,