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Reactive power compensation by EPSO technique
handle: 10400.22/1569
This paper presents a methodology to address reactive power compensation using Evolutionary Particle Swarm Optimization (EPSO) technique programmed in the MATLAB environment. The main objective is to find the best operation point minimizing power losses with reactive power compensation, subjected to all operational constraints, namely full AC power flow equations, active and reactive power generation constraints. The methodology has been tested with the IEEE 14 bus test system demonstrating the ability and effectiveness of the proposed approach to handle the reactive power compensation problem.
- Polytechnic Institute of Porto Portugal
- International Student Exchange Programs United States
- International Student Exchange Programs United States
Artificial intelligence, Reactive power compensation, Evolutionary particle swarm optimization
Artificial intelligence, Reactive power compensation, Evolutionary particle swarm optimization
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).7 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 visibility views 6 download downloads 6 - 6views6downloads
Data source Views Downloads Repositório Científico do Instituto Politécnico do Porto 6 6


