Enhanced Artificial Immune Systems and Fuzzy Logic for Active Distribution Systems Reconfiguration

Guillermo Alonso, Ricardo F. Alonso, Antonio Carlos Zambroni Zambroni De Souza () and Walmir Freitas
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Guillermo Alonso: Facultad de Ingeniería, Universidad Nacional de Itapúa, Encarnación 070102, Paraguay
Ricardo F. Alonso: Facultad de Ingeniería, Universidad Nacional de Itapúa, Encarnación 070102, Paraguay
Antonio Carlos Zambroni Zambroni De Souza: Institute of Electrical Systems and Energy, Universidade Federal de Itajubá, Itajubá 37500-903, Brazil
Walmir Freitas: Department of Systems and Energy, UNICAMP—University of Campinas, Campinas 13100-484, Brazil

Energies, 2022, vol. 15, issue 24, 1-18

Abstract: Nowadays, the high penetration of automation on smart grids challenges electricity companies in providing an efficient distribution networks operation. In this sense, distribution system reconfiguration (DSR) plays an important role since it may help solve real-time problems. This paper proposes a methodology to solve the DSR problem using artificial immune systems (AIS) based on a new, efficient, and robust approach. This new methodology, called Enhanced Artificial Immune Systems (EAIS), uses the values of the currents in wires for intelligent mutations. The problem is accomplished by a multi-objective optimization with fuzzy variables, minimizing power losses, voltage deviation, and feeders load balancing. A comparison with other DSR solution methods is presented. The method is compared with two other previously proposed methods with the help of the 33-bus, 84-bus, and 136-bus distribution systems. Different scenarios are analyzed, including the optimal location of the Distributed Generation (DG). The results show the applicability of the proposed algorithm for the simultaneous solution of DSR and location or dispatch of DGs.

Keywords: distribution system reconfiguration; artificial immune systems; fuzzy logic; distributed generation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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