Fuzzy Modeling with Immune Multi-Objective Algorithm to Optimal Allocate of Capacitors in Distribution Systems
نویسندگان
چکیده
This work proposes a two-stage immune algorithm that embeds the compromise programming to perform multi-objective optimal capacitor placement. A new problem formulation model that involves fuzzy sets to reflect the imprecise nature of objectives and incorporates multiple planning requirements is presented. The proposed approach finds a set of noninferior (Pareto) solutions rather than any single aggregated optimal solution. Additionally, this developed approach eliminates the need for any userdefined weight factor to aggregate all objectives. Comparative studies are conducted on an actual system with encouraging results, demonstrating the effectiveness of the proposed presented approach.
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