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A novel optimal allocation of STATCOM to enhance voltage stability in power networks
Crown Copyright © 2024 The Authors. Utilizing a static synchronous compensator (STATCOM) in the electrical power grid greatly improves the grid's voltage profile by enhancing voltage stability. This article proposes a novel approach based on Mixed Integer Distributed Ant Colony Optimization (MIDACO) to determine the optimal STATCOM installation in the electrical power grid. This approach has two control variables to optimize: the STATCOM size and location. This optimization aims to enhance voltage stability with minimum cost by minimizing two objectives: the voltage deviation index and the STATCOM cost. Also, this article presents a sensitivity analysis to show the stochastic nature of MIDACO and to explain the effect of MIDACO parameters on the optimization approach and the process of reaching the optimal solution. The proposed method has been evaluated on three standard test systems: IEEE 14-bus, IEEE 57-bus, and IEEE 118-bus. In addition, the MIDACO results are compared to those of the artificial bee colony algorithm, the genetic algorithm, and particle swarm optimization.This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors
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Optimal STATCOM allocation using Mixed Integer Distributed Ant Colony Optimization
Newton Fund Institutional Links grant, ID 623801791, under the Newton-Katip Çelebi Fund partnership. The grant is funded by the UK Department for Business, Energy and Industrial Strategy and Tubitak and delivered by the British Council