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Article type: Research Article
Authors: Mohammadi, Mehdia | Soleymani, Soodabeha; * | Niknam, Taherb | Amraee, Turajc
Affiliations: [a] Department of Computer and Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran | [b] Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran | [c] Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran
Correspondence: [*] Corresponding author. Soodabeh Soleymani, Department of Computer and Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. s.soleymani@srbiau.ac.ir.
Abstract: This paper presents some capabilities of automation system from distribution planning and operation points of view. In this regard, the optimized switch placement and Distribution Feeder Reconfiguration (DFR) strategies are applied to the network to investigate the reliability of the system based on failure rate reduction. The objective functions to be minimized are the total switch cost in switch placement problem and System Average Interruption Frequency Index (SAIFI); System Average Interruption Duration Index (SAIDI) and active power loss as well as voltage deviation from nominal in the feeder reconfiguration problem. Also, through this analysis and by selecting the location of capacitors as well as ON/OFF status of the placed switched capacitors and tap position of Under Load Tap Changer (ULTC) transformers as control variables, the concepts of capacitor placement and Volt/Var Control (VVC) are evaluated. The problems are solved by using the Modified Social Spider Optimization (MSSO) algorithm as a proper method to solve the mixed-integer nonlinear programming problem. The proposed distribution automation planning and operation strategies are applied to a 69 bus IEEE distribution test system and simulation results are demonstrated and discussed.
Keywords: Distribution automation, switch placement strategy, feeder reconfiguration strategy, reliability enhancement, failure rate reduction approach, capacitor placement, volt/var control
DOI: 10.3233/JIFS-17939
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3493-3506, 2018
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