Paper Title: The Reconfiguration of Electric Networks Using Pareto Optimality and Evolution Strategies

Tomoiaga, Bogdan; Chindris, Mircea; Bud, Ciprian

WEC REGIONAL ENERGY FORUM – FOREN 2008, Neptun, Romania, 15-19 June 2008, ISSN 2284-9505

The reconfiguration of an electrical network consists in modifying the existing configuration by exchanging the functioning links between its elements in order to improve different performances. The reconfiguration problem is one of multi-criteria optimisation, where the solution is chosen after the evaluation of a group of indexes, named partial criteria, which represent multiple purposes. In the paper, authors propose to formulate the reconfiguration problem as Pareto optimality. On the other hand, to search the optimal solution authors propose an original algorithm based on evolution strategies. The proposed algorithm has been implemented in the visual environment programming language C++ Builder that, due to its graphic interface, ensures an extreme lightness in the use. This software product was implemented for several IEEE test electric distribution networks where optimal configurations were obtained in a very short time.

reconfiguration, DISTRIBUTION NETWORK RECONFIGURATION FOR LOSS MINIMIZATION IN PRESENCE OF DISTRIBUTED GENERATION, Distribution System Optimization; Multi-objective Evolutionary Algorithm; Network Reconfiguration; Power Losses; Reliability, Power Distribution System Reconfiguration, Multi-objective Optimization Using NSGA-II, Multi-objective Optimization Using NSGA-II for Power Distribution System Reconfiguration, Pareto front, Multi Criteria Decision Making, Optimal Multi-objective Distribution System Reconfiguration, Optimal Multi-objective Distribution System Reconfiguration With Multi Criteria Decision Making-based Solution Ranking and Enhanced Genetic Operators, Distribution System, Angela Russo, Gianfranco Chicco, Andrea Mazza, Enhanced Genetic Operators, Multi Criteria Decision Making-based Solution Ranking, Network Topology, Algorithm Design and analysis, Design and Analysis of Algorithms, Power Losses, Network Reconfiguration, Multicriteria decision making, Topological Reconfiguration, Reliability, Optimization Methods, Electric Power Distribution Systems, Distribution Operation Planning, Distribution Network Reconfiguration Software, Power Engineering Computing, Power Distribution Planning, Decision Making, Optimisation, Considering Subtransmission Analysis, Multicriteria Distribution Network Reconfiguration, Multicriteria Distribution Network Reconfiguration Considering Subtransmission Analysis, Probabilistic Reliability Models, Power Loss, Search Algorithm, 33-bus Distribution System, Search Problems, Power Distribution Reliability, Probabilistic Reliability Model, Distribution System Reconfiguration, Reconfiguration of Power Distribution Systems Considering Reliability and Power Loss, Considering Reliability and Power Loss, Reconfiguration of Power Distribution Systems, Reliability Indices, Power System Losses, Power Quality, Multiobjective Optimisation Problem, Algorithm, Microgenetic Multiobjective Reconfiguration, Evolutionary-based Approach, Electrical Power Distribution Networks, Power Supply Quality, Genetic Algorithms, Microgenetic Multiobjective Reconfiguration Algorithm Considering Power Losses and Reliability Indices for Medium Voltage Distribution Network, Medium Voltage Distribution Network, Power Losses and Reliability Indices, Microgenetic Multiobjective Reconfiguration Algorithm, Co Opted State Reconfiguration, Power Losses Reduction, Non-dominated Sorting Genetic Algorithms, Load Balancing, Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II), Non-Dominated Sorting Genetic Algorithm, Non-dominated Sorting Genetic Algorithm-II (NSGA-II), Optimal Distribution System Reconfiguration, Reconfiguration NSGA, Pareto Frontier, NSGA, Pareto Optimality, Dispersed Generation, Reconfiguration, Distribution Networks, Pareto