Multi-Objective Scheduling Optimization Based on a Modified Non-Dominated Sorting Genetic Algorithm-II in Voltage Source Converter−Multi-Terminal High Voltage DC Grid-Connected Offshore Wind Farms with Battery Energy Storage Systems

Multi-Objective Scheduling Optimization Based on a Modified Non-Dominated Sorting Genetic Algorithm-II in Voltage Source Converter−Multi-Terminal High Voltage DC Grid-Connected Offshore Wind Farms with Battery Energy Storage Systems

Improving the performance of power systems has become a challenging task for system operators in an open access environment. This paper presents an optimization approach for solving the multi-objective scheduling problem using a modified non-dominated sorting genetic algorithm in a hybrid network of...

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Bibliographic Details
Main Authors: Ho-Young Kim, Mun-Kyeom Kim, San Kim
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Energies
Subjects:
battery energy storage system
Benders’ decomposition
hybrid network station
voltage source converter multi-terminal high voltage direct current
optimal power flow
modified non-dominated sorting genetic algorithm-II
Online Access:https://www.mdpi.com/1996-1073/10/7/986

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https://www.mdpi.com/1996-1073/10/7/986

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