A Fuzzy-Logic Based Evolutionary Multiobjective Approach for Automated Distribution Networks Management

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In this paper, a methodology to treatconstrained scheduling problems based on the repeatedapplication of a Fuzzy-Logic-based multiobjective algorithmis presented. The application domain is that of automateddistribution systems management. In particular, the problemof voltage regulation and power losses minimisation is hereconsidered. The classical formulation of the problem ofoptimal control of shunt capacitor banks and Under LoadTap Changers, ULTC, located at High Voltage/MediumVoltage (HV/MV) substations has been coupled with theoptimal control of tie-switches and capacitor banks on thefeeders of a large radially operated meshed distributionsystem with the aim of attaining minimum power losses andthe flattening of the voltage profile. The consideredformulation requires the optimisation of two objectives;therefore the use of adequate multiobjective heuristicoptimisation methods is needed. The heuristic strategy usedfor the optimisation is an evolutionary algorithm in which theobjectives formulation is based on fuzzy sets theory. After abrief description of the general problem of multiobjectiveoptimisation in automated distribution networks managementproblems, the most recent papers on the topic are reportedand commented. Then, the problem formulation and thesolution algorithm are described in detail. Finally, test resultson a large distribution system are reported. They demonstratethat the proposed formulation and approach are effective andfeasible for finding a good dispatching schedule for theconsidered system.
Lingua originaleEnglish
Numero di pagine8
Stato di pubblicazionePublished - 2004

All Science Journal Classification (ASJC) codes

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