Optimising operation management for multi-micro-grids control

Optimising operation management for multi-micro-grids control

Nowadays, renewable energy sources in a micro-grid (MG) system have increased challenges in terms of the irregularly and fluctuation of the photovoltaic and wind turbine units. It is necessary to develop battery energy storage. The MG central controller is helping to develop it in the MG system for...

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Bibliographic Details
Main Authors: Teerawat Kumrai, Kaoru Ota, Mianxiong Dong, Kazuhiko Sato, Jay Kishigami
Format: Article
Language:English
Published: Wiley 2018-03-01
Series:IET Cyber-Physical Systems
Subjects:
power system management
distributed power generation
power generation control
game theory
particle swarm optimisation
covariance matrices
genetic algorithms
photovoltaic power systems
wind turbines
battery storage plants
operation management optimisation
multi microgrids control
renewable energy sources
photovoltaic units
wind turbine units
battery energy storage
MG central controller
total energy expenses reduction
fitness-based modified game particle swarm optimisation algorithm
FMGPSO algorithm
pollutant emissions
multi mMG system
nondominated sorting genetic algorithm-III
multiobjective covariance matrix adaptation evolution strategy
speed-constrained multiobjective particle swarm optimisation
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0079

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https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0079

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