Optimal probabilistic location of DGs using Monte Carlo simulation based different bio-inspired algorithms

Optimal probabilistic location of DGs using Monte Carlo simulation based different bio-inspired algorithms

Stochastic nature of load demand has a great impact on the performance of electrical power system. As a result, planning of electrical power system considering load uncertainties became inevitable. This paper presents Monte Carlo simulation based different bio-inspired algorithms, grey wolf optimiza...

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Bibliographic Details
Main Authors: Mahmoud G Hemeida, Salem Alkhalaf, Tomonobu Senjyu, Abdalla Ibrahim, Mahrous Ahmed, Ayman M. Bahaa-Eldin
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Ain Shams Engineering Journal
Subjects:
Optimal allocation
Monte Carlo simulation
Bio-inspired algorithm
Distributed generators
GWO
MRFO
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447921000940

Internet

http://www.sciencedirect.com/science/article/pii/S2090447921000940

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