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Optimal Power System Planning with Renewable DGs with Reactive Power Consideration
Author(s) -
T Hanumesh,
Sudarshana Reddy H.R
Publication year - 2018
Publication title -
international journal of power electronics and drive systems (ijpeds)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.322
H-Index - 21
ISSN - 2088-8694
DOI - 10.11591/ijpeds.v9.i2.pp750-756
Subject(s) - ac power , cuckoo search , particle swarm optimization , computer science , electric power system , renewable energy , compensation (psychology) , power (physics) , mathematical optimization , heuristic , control theory (sociology) , reliability engineering , engineering , mathematics , control (management) , algorithm , electrical engineering , psychology , physics , quantum mechanics , artificial intelligence , psychoanalysis
This paper analyses the optimal power system planning with DGs used as real and reactive power compensator. Recently planning of DG placement reactive power compensation are the major problems in distribution system. As the requirement in the power is more the DG placement becomes important. When planned to make the DG placement, cost analysis becomes as a major concern. And if the DGs operate as reactive power compensator it is most helpful in power quality maintenance. So, this paper deals with the optimal power system planning with renewable DGs which can be used as a reactive power compensators. The problem is formulated and solved using popular meta-heuristic techniques called cuckoo search algorithm (CSA) and particle swarm optimization (PSO). the comparative results are presented.

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