Optimal Scheduling of Battery Energy Storage System in Distribution Network Considering Uncertainties using hybrid Monte Carlo- Genetic Approach

Optimal Scheduling of Battery Energy Storage System in Distribution Network Considering Uncertainties using hybrid Monte Carlo- Genetic Approach

This paper proposes a novel hybrid Monte Carlo simulation-genetic approach (MCS-GA) for optimal operation of a distribution network considering renewable energy generation systems (REGSs) and battery energy storage systems (BESSs). The aim of this paper is to design an optimal charging /discharging...

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Bibliographic Details
Main Authors:	R. Afshan, J. Salehi
Format:	Article
Language:	English
Published:	University of Mohaghegh Ardabili 2018-06-01
Series:	Journal of Operation and Automation in Power Engineering
Subjects:	Battery Energy Storage Systems Optimal Operation Uncertainty Modeling Monte Carlo simulation genetic algorithm
Online Access:	http://joape.uma.ac.ir/article_632_02d445095ef5de28bcf76f5fee404d52.pdf

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