Adetunji, KEHofsajer, IWAbu-Mahfouz, Adnan MICheng, L2021-07-092021-07-092021-01Adetunji, K., Hofsajer, I., Abu-Mahfouz, A.M. & Cheng, L. 2021. A review of metaheuristic techniques for optimal integration of electrical units in distribution networks. <i>IEEE Access, 9.</i> http://hdl.handle.net/10204/120472169-3536DOI: 10.1109/ACCESS.2020.3048438http://hdl.handle.net/10204/12047The optimal integration of electrical units, such as distributed generation units, power electronic devices, and electric vehicles, is a significant development of smart grids. This development has effectively transformed the traditional grid system, promising numerous advantages for economic values and autonomous energy source control. In smart grids development, metaheuristic algorithms are one of the optimization algorithms that have been applied extensively to mitigate the accompanying problems such as voltage instability, power loss, and high installation cost. This paper presents a comprehensive review of metaheuristic techniques for the optimal integration of electrical units in distribution networks, considering different phases of the optimization process. These include the approaches for handling of crucial objective functions and the optimal integration methods for different electrical units. This review shows a need for more research on developing efficient metaheuristic algorithms and the effective handling of multiple objective functions.FulltextenDecision makingDistributed generationDistribution networksElectric vehiclesMetaheuristic optimization algorithmsMulti-objective optimizationOptimal location and sizingSmart gridsArticleAdetunji, K., Hofsajer, I., Abu-Mahfouz, A. M., & Cheng, L. (2021). A review of metaheuristic techniques for optimal integration of electrical units in distribution networks. <i>IEEE Access, 9</i>, http://hdl.handle.net/10204/12047Adetunji, KE, IW Hofsajer, Adnan MI Abu-Mahfouz, and L Cheng "A review of metaheuristic techniques for optimal integration of electrical units in distribution networks." <i>IEEE Access, 9</i> (2021) http://hdl.handle.net/10204/12047Adetunji K, Hofsajer I, Abu-Mahfouz AM, Cheng L. A review of metaheuristic techniques for optimal integration of electrical units in distribution networks. IEEE Access, 9. 2021; http://hdl.handle.net/10204/12047.TY - Article AU - Adetunji, KE AU - Hofsajer, IW AU - Abu-Mahfouz, Adnan MI AU - Cheng, L AB - The optimal integration of electrical units, such as distributed generation units, power electronic devices, and electric vehicles, is a significant development of smart grids. This development has effectively transformed the traditional grid system, promising numerous advantages for economic values and autonomous energy source control. In smart grids development, metaheuristic algorithms are one of the optimization algorithms that have been applied extensively to mitigate the accompanying problems such as voltage instability, power loss, and high installation cost. This paper presents a comprehensive review of metaheuristic techniques for the optimal integration of electrical units in distribution networks, considering different phases of the optimization process. These include the approaches for handling of crucial objective functions and the optimal integration methods for different electrical units. This review shows a need for more research on developing efficient metaheuristic algorithms and the effective handling of multiple objective functions. DA - 2021-01 DB - ResearchSpace DP - CSIR J1 - IEEE Access, 9 KW - Decision making KW - Distributed generation KW - Distribution networks KW - Electric vehicles KW - Metaheuristic optimization algorithms KW - Multi-objective optimization KW - Optimal location and sizing KW - Smart grids LK - https://researchspace.csir.co.za PY - 2021 SM - 2169-3536 T1 - A review of metaheuristic techniques for optimal integration of electrical units in distribution networks TI - A review of metaheuristic techniques for optimal integration of electrical units in distribution networks UR - http://hdl.handle.net/10204/12047 ER -24634