Artificial immune algorithm applied to distribution system reconfiguration with variable demand |
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| Affiliation: | 1. Electrical Engineering Department, Campus of Ilha Solteira, Unesp, Univ Estadual Paulista, Av. Brazil 56, 15385-000 Ilha Solteira, SP, Brazil;2. INESC TEC, Av. Dr. Roberto Frias, 378, 4200-465 Porto, Portugal;3. Faculty of Economics, University of Porto, Av. Dr. Roberto Frias, s/n, 4200-464 Porto, Portugal;4. Faculty of Engineering, University of Porto, Av. Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal;1. The University of Tokyo, 4-6-1 Komaba Meguro-ku, Tokyo 153-8505, Japan;2. The University of Tokyo, Institute of Industrial Science, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan;1. Department of Industrial Engineering, Faculty of Engineering, Yazd University, Yazd, Iran;2. School of Industrial Engineering and Engineering Optimization Research Group, College of Engineering, University of Tehran, Tehran, Iran;3. Universal Scientific Education and Research Network (USERN), Tehran, Iran;1. Tomsk Polytechnic University, Lenina Avenue 30, 634050, Tomsk, Russia;2. CEO of Scientific Technical Centre “TATA” Limited, Sarov, Nizhny Novgorod Region, Moscow Str. 29, Office 306, 607183, Russia;1. Department of Mathematics, The University of Burdwan, Burdwan 713104, India;2. School of Engineering and Sciences, Tecnológico de Monterrey, E. Garza Sada 2501 Sur, C.P. 64849, Monterrey, Nuevo León, Mexico |
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| Abstract: | This paper presents a new methodology to solve the reconfiguration problem of electrical distribution systems (EDSs) with variable demand, using the artificial immune algorithm Copt-aiNet (Artificial Immune Network for Combinatorial Optimization). This algorithm is an optimization technique inspired by immune network theory (aiNet). The reconfiguration problem with variable demand is a complex problem of a combinatorial nature. The goal is to identify the best radial topology for an EDS in order to minimize the cost of energy losses in a given operation period. A specialized sweep load flow for radial systems was used to evaluate the feasibility of the topology with respect to the operational constraints of the EDS and to calculate the active power losses for each demand level. The algorithm was implemented in C++ and was evaluated using test systems with 33, 84, and 136 nodes, as well as a real system with 417 nodes. The obtained results were compared with those in the literature in order to validate and prove the efficiency of the proposed algorithm. |
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| Keywords: | Distribution system reconfiguration Variable demands Artificial immune systems Copt-aiNet |
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