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Mono-criterion electrical distribution systems planning using particle swarm optimization
This paper dealt with the optimal distribution network planning (DNP) under loads growth condition where the Particle Swarm Optimization with Constriction Factor (PSO-CF) was considered. This paper aimed at ensuring that the consumers' load demands which always increase with time can be satisfied in an optimum way by the distribution network reconfiguration (DNR). The planning problem was addressed as a mono-criterion one with reduced power losses cost objective. The radiality, voltages limits, and power balance constraints were taken into consideration in this study. So as to evaluate the active power losses, a load flow technique was carried out. The PSO-CF was tested on IEEE-10 bus. All simulation studies and results showed the algorithm efficiency and capability to fulfill good results.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
