Paper Title: A method based on reconfiguration for the minimization of the interruption frequency in power supplyAuthors: Ciprian Bud, Mircea Chindriş, Bogdan TomoiagăPublication: The Sixth World Energy System Conference - WESC 2006, Torino, Italy, 10-12 July 2006, pp. 641-645The essential attributes of interruptions in the power supply of the consumers are the frequency and the duration. While the durations are predominantly influenced by the electrical network structure and the existent automations, the frequency is powerfully influenced by the functioning schema adopted. For electrical distribution networks working in a radial configuration, the frequency of interruptions may be minimised by the suitable choice of the loop opening points. The authors propose an original method for the minimization of the system average interruption frequency index (SAIFI) in power supply, which contains besides the technological restrictions also the restriction regarding the resistive power loss.Abstract: 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, ParetoKeywords: |