This paper deals with the ra dial distribution system reconfiguration problem in a multi-objective scope, aiming to determine the optimal configuration by means of minimization of active power losses and several reliability indices. A novel way to calculate these indices under a mixed-integer linear programming (MILP) approach is provided. Afterwards, an efficient implementation of the ε -constraint method using lexicographic optimization is employed to solve the multi- objective optimization problem, which is formulated as a MILP problem. After the Pareto Efficient solution set is generated, a multi-attribute decision making procedure is used, namely the technique for order preference by similarity to ideal solution (TOPSIS) method, so that a decision maker (DM) can express preferences over the solutions and facilitate the final selection.
Multi-Objective Distribution System Reconfiguration for Reliability Enhancement and Loss Reduction / Paterakis, Nikolaos G.; Santos, Sergio F.; Catalão, Joao P. S.; Mazza, Andrea; Chicco, Gianfranco; Erdinc, Ozan; Bakirtzis, Anastasios G.. - STAMPA. - (2015), pp. 3860-3864. (Intervento presentato al convegno 2015 IEEE Power & Energy Society General Meeting tenutosi a Denver, Colorado, USA nel 26-30 July 2015) [10.1109/PESGM.2015.7286524].
Multi-Objective Distribution System Reconfiguration for Reliability Enhancement and Loss Reduction
MAZZA, ANDREA;CHICCO, GIANFRANCO;
2015
Abstract
This paper deals with the ra dial distribution system reconfiguration problem in a multi-objective scope, aiming to determine the optimal configuration by means of minimization of active power losses and several reliability indices. A novel way to calculate these indices under a mixed-integer linear programming (MILP) approach is provided. Afterwards, an efficient implementation of the ε -constraint method using lexicographic optimization is employed to solve the multi- objective optimization problem, which is formulated as a MILP problem. After the Pareto Efficient solution set is generated, a multi-attribute decision making procedure is used, namely the technique for order preference by similarity to ideal solution (TOPSIS) method, so that a decision maker (DM) can express preferences over the solutions and facilitate the final selection.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2666887
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