An Improved Hybrid Approach for the Simultaneous Allocation of Dg Units and Tvvd Loads in Distribution Systems

作     者：Khan, Muhammad Faisal Nadeem Ahmed, Ali Kiani, Arooj Tariq Ullah, Nasim Khan, Muhammad Adnan Mosavi, Amir 

作者机构：Department of Electrical Engineering University of Engineering and Technology Taxila Taxila47080 Pakistan Department of Electrical Engineering Air University Islamabad Islamabad44230 Pakistan Department of Electrical Engineering College of Engineering Taif University al-Hawiyah26571 Saudi Arabia Department of Software Gachon University Seongnam Korea Republic of Institute of Information Engineering Automation and Mathematics Slovak University of Technology Bratislava Slovakia John von Neumann Faculty of Informatics Obuda University Budapest Hungary Faculty of Civil Engineering TU-Dresden Dresden Germany 

出 版 物：《SSRN》 

年 卷 期：2022年

核心收录：

主　　题：Distributed power generation 

摘      要：Distributed Generation (DG) studies are generally conducted considering a single type of DG units integrated with the Distribution System (DS). However, these studies may not evaluate optimum benefits offered by the DG integration. This paper presents a novel framework for individual and simultaneous allocation of different types of DG units in DS while considering varying load demand and probabilistic generation of DG units. A Salp Swarm Algorithm (SSA) and Particle Swarm Optimization (PSO) based new hybrid method that utilizes a single controlling parameter is proposed for simultaneous allocation of DG units, aiming to minimize a multi-objective index. The strength of the proposed SSA-PSO hybrid approach is validated on seventeen benchmark functions and the performance of the novel framework for optimal allocation of DG units is validated through implementation on the IEEE 69-bus system. The results demonstrate that the proposed hybrid approach performs better as compared to other meta-heuristics techniques. Moreover, simultaneous allocation significantly reduces the multi-objective index as compared to individual DG units’ integration. © 2022, The Authors. All rights reserved.