TY - JOUR ID - 470 TI - A SAIWD-Based Approach for Simultaneous Reconfiguration and Optimal Siting and Sizing of Wind Turbines and DVR units in Distribution Systems JO - Journal of Operation and Automation in Power Engineering JA - JOAPE LA - en SN - 2322-4576 AU - Lashkar Ara, A. AU - Bagheri Tolabi, H. AU - hosseini, R. AD - Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran AD - Department of Electrical Engineering, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran AD - Department of Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran Y1 - 2016 PY - 2016 VL - 4 IS - 2 SP - 93 EP - 103 KW - distribution system KW - Dynamic voltage restorer KW - Intelligent water drops KW - Reconfiguration KW - Simulated annealing KW - wind turbine DO - N2 - In this paper, a combination of simulated annealing (SA) and intelligent water drops (IWD) algorithm is used to solve the nonlinear/complex problem of simultaneous reconfiguration with optimal allocation (size and location) of wind turbine (WT) as a distributed generation (DG) and dynamic voltage restorer (DVR) as a distributed flexible AC transmission systems (DFACT) unit in a distribution system. The objectives of this research are to minimize active power loss, minimize operational cost, improve voltage stability, and increase the load balancing of the system. For evaluation purposes, the proposed algorithm is evaluated using the Tai-Power 11.4-kV real distribution network. The impacts of the optimal placement of the WT, DVR, and WT with DVR units are separately evaluated. The results are compared in terms of statistical indicators. By comparing all the testing scenarios, it is observed that the multi-objective optimization evolutionary algorithm is more beneficial than its single-objective optimization counterpart. Also, the obtained results show that the proposed SAIWD method outperforms the IWD method and other intelligent search algorithms such as genetic algorithm or particle swarm optimization. UR - https://joape.uma.ac.ir/article_470.html L1 - https://joape.uma.ac.ir/article_470_6bea5c53942fa258c2e1ffd88cfaa9da.pdf ER -