The Hybrid New Max Flow Min Cut and Gene Algorithm Approach to Determine Energy Storage Systems Location

EasyChair Preprint 3126

Abstract

This paper aims to propose a new hybrid tool to perform the optimal location of energy storage systems (ESSs), studies and its application to the 24 bus IEEE system. This developed tool integrates two phases as follows. The first one uses Max-Flow-Min-Cut (MFMC) techniques to limit the search space, and the second uses Gene Algorithm (GA) to identify the final solution. This hybridization between MFMC and GA proved to be very effective and shows good performance to significantly reduce the size of the search space and to identify good quality solutions. The simulation results tested to determine the position of ESSs on the 24 bus IEEE system showed the approache's feasibility in transmission expansion planning (TEP)

Keyphrases: Congestion Management, Energy Storage Systems, Min-cut algorithm, Transmission Expansion Planning

@booklet{EasyChair:3126,
  author    = {Ngoc Sang Đinh and Viet Anh Truong and Thanh Long Duong},
  title     = {The Hybrid New Max Flow Min Cut and Gene Algorithm Approach to Determine Energy Storage Systems Location},
  howpublished = {EasyChair Preprint 3126},
  year      = {EasyChair, 2020}}