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All Journal International Journal of Renewable Energy Development International Journal of Renewable Energy Development
Anh Tuan Doan
Faculty of Electrical Engineering, The University of Danang - University of Science and Technology, Danang
Chemistry Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering

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Optimal power flow solutions to power systems with wind energy using a highly effective meta-heuristic algorithm Thi Minh Chau Le; Xuan Chau Le; Ngoc Nguyen Phuong Huynh; Anh Tuan Doan; Thanh Viet Dinh; Minh Quan Duong
International Journal of Renewable Energy Development Vol 12, No 3 (2023): May 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.51375

Abstract

This paper implements two novel meta-heuristic algorithms, including the Coati optimization algorithm (COA) and War strategy optimization (WSO) for determining the optimal solutions to the optimal power flow problem incorporating the use of wind turbines (WTs). Two objective functions are considered in this study, including minimizing the entire electricity generation expenditure (EEGE) with the value point effect and minimizing the voltage fluctuation index (VFI). IEEE 30-bus system is chosen to conduct the whole study and validate the efficiency of the two applied methods. Furthermore, DFIG WTs are used in grids with varying power output and power factor ranges. The comparison of the results obtained from the two methods in all case studies reveals that WSO is vastly superior to COA in almost all aspects. In addition, the positive contributions of WTs to the EEGE and VFI while they are properly placed in the grid are also clarified by using WSO. As a result, WSO is acknowledged as a highly effective search method for dealing with such optimal power flow (OPF) problems considering the presence of renewable energy sources.
Optimal power flow solutions to power systems with wind energy using a highly effective meta-heuristic algorithm Thi Minh Chau Le; Xuan Chau Le; Ngoc Nguyen Phuong Huynh; Anh Tuan Doan; Thanh Viet Dinh; Minh Quan Duong
International Journal of Renewable Energy Development Vol 12, No 3 (2023): May 2023
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2023.51375

Abstract

This paper implements two novel meta-heuristic algorithms, including the Coati optimization algorithm (COA) and War strategy optimization (WSO) for determining the optimal solutions to the optimal power flow problem incorporating the use of wind turbines (WTs). Two objective functions are considered in this study, including minimizing the entire electricity generation expenditure (EEGE) with the value point effect and minimizing the voltage fluctuation index (VFI). IEEE 30-bus system is chosen to conduct the whole study and validate the efficiency of the two applied methods. Furthermore, DFIG WTs are used in grids with varying power output and power factor ranges. The comparison of the results obtained from the two methods in all case studies reveals that WSO is vastly superior to COA in almost all aspects. In addition, the positive contributions of WTs to the EEGE and VFI while they are properly placed in the grid are also clarified by using WSO. As a result, WSO is acknowledged as a highly effective search method for dealing with such optimal power flow (OPF) problems considering the presence of renewable energy sources.
Co-Authors Minh Quan Duong Ngoc Nguyen Phuong Huynh Thanh Viet Dinh Thi Minh Chau Le Xuan Chau Le