Stochastic optimal power flow analysis of power system with renewable energy sources using Adaptive Lightning Attachment Procedure Optimizer

Journal article

Authors/Editors

ANAWACH SANGSWANGSUMATE NAETILADDANON

Strategic Research Themes

Sustainable Energy & Environment (Strategic Research Themes)

Publication Details

Author list: Adhikari, Ananta; Jurado, Francisco; Naetiladdanon, Sumate; Sangswang, Anawach; Kamel, Salah; Ebeed, Mohamed;

Publisher: Elsevier

Publication year: 2023

Journal acronym: IJEPES

Volume number: 153

ISSN: 0142-0615

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162784268&doi=10.1016%2fj.ijepes.2023.109314&partnerID=40&md5=4aa5294a6bdc4abe31db7d43670a99de

Languages: English-Great Britain (EN-GB)

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Abstract

The integration of several renewable energy sources (RESs), such as photovoltaic generation (PVG) and wind turbine generation (WTG), introduces a significant amount of uncertainty for the optimal planning of the electrical power systems. The optimal power flow (OPF) problem became more difficult to solve when RESs uncertainties were taken into account. In this research, the stochastic OPF problem is solved using an Adaptive Lightning Attachment Procedure Optimizer (ALAPO) with the integration of RESs. The ALAPO is proposed in this study to improve both the exploration and exploitation process of the conventional Lightning Attachment Procedure Optimizer (LAPO). In order to create a number of scenarios that account for the uncertainties associated with load demand, wind speed, and solar irradiation, the scenario based reduction method is utilized. Further, to determine the optimal setting of active power of generators, tap setting of the transformers, reactive power of the capacitor banks, and the voltage profile at the generator buses for each scenario of RESs the objective function considered in this study is to minimize the power loss, voltage deviation, and voltage stability index of the power system. The effectiveness of the proposed algorithm is tested on IEEE 57-bus system. The results in this study show that the proposed ALAPO is superior for solving the OPF with the integration of RESs compared to the conventional methods like LAPO, Particle Swarm Optimization (PSO), Sand Cat Swarm Optimizer (SCSO), Gray Wolf Optimizer (GOW), Whale Optimization Algorithm (WOA), Black Widow Optimization Algorithm (BWO), and Capuchin Search Algorithm (CapSA). © 2023 Elsevier Ltd

Keywords

Adaptive lightning attachment procedure optimizer, Optimal power flow, renewable energy sources, Scenario based reduction, Uncertainties