Optimal Placement and Sizing of Renewable Distributed Generation Using Hybrid Metaheuristic Algorithm

作     者：Jordan Radosavljević Nebojša Arsić Milos Milovanović Aphrodite Ktena Jordan Radosavljevi(c);Neboj(s)a Arsi(c);Milo(s) Milovanovi(c);Aphrodite Ktena

作者机构：Faculty of Technical SciencesUniversity of Priština in Kosovska MitrovicaKneza Miloša 7Kosovska MitrovicaSerbia National and Kapodistrian University of AthensAthensGreece 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2020年第8卷第3期

页      面：499-510页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 081104[工学-模式识别与智能系统] 0807[工学-动力工程及工程热物理] 0811[工学-控制科学与工程] 

基　　金：supported by the Ministry of Education  Science and Technological Development of the Republic of Serbia (No.TR 33046)。 

主　　题：Wind turbine photovoltaic generation optimal placement metaheuristic optimization 

摘      要：The problem of optimal placement and sizing(OPS) of renewable distributed generation(RDG) is followed by numerous technical, economical, geographical, and ecological constraints. In this paper, it is investigated from two viewpoints, namely the simultaneous minimization of total energy loss of a distribution network and the maximization of profit for RDG owner. The stochastic nature of RDG such as the wind turbine and photovoltaic generation is accounted using suitable probabilistic models. To solve this problem, a hybrid metaheuristic algorithm is proposed, which is a combination of the phasor particle swarm optimization and the gravitational search algorithm. The proposed algorithm is tested on an IEEE69-bus system for several cases in two scenarios. The results obtained by the hybrid algorithm shows that it provides high-quality solution for all cases considered and has better performances for solving the OPS problem compared to other metaheuristic population-based techniques.