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2023 | OriginalPaper | Chapter

Enhancing Total Transfer Capability via Optimal Location of Energy Storage Systems Using a Hybrid Improved Min-Cut Algorithm and Genetic Algorithm

Authors : Tung Linh Nguyen, Ngoc Sang Dinh, Viet Anh Truong, Thanh Long Duong, Dao Huy Du, Do Anh Tuan

Published in: Advances in Engineering Research and Application

Publisher: Springer International Publishing

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Abstract

This paper proposes a new optimal approach to determine the location and size of the Energy Storage System (ESS) in transmission expansion planning (TEP). The proposed method combines two steps in sequence: the improved MinCut algorithm (IMCA) and the Genetic Algorithm (GA) algorithm to reduce the search space and time for finding the optimal solution satisfying many constraints. This algorithm reduces the computational volume significantly compared to previous algorithms and thereby shortens the calculation time leading to investors making timely and competitive ESS system investment decisions. The research results are applied in determining the position of the ESS in the IEEE 24-bus system, which shows the possibility of a solution to the TEP problem.

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Metadata
Title
Enhancing Total Transfer Capability via Optimal Location of Energy Storage Systems Using a Hybrid Improved Min-Cut Algorithm and Genetic Algorithm
Authors
Tung Linh Nguyen
Ngoc Sang Dinh
Viet Anh Truong
Thanh Long Duong
Dao Huy Du
Do Anh Tuan
Copyright Year
2023
Book
Advances in Engineering Research and Application

Print ISBN: 978-3-031-22199-6

Electronic ISBN: 978-3-031-22200-9

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-22200-9_57

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