Abstract
This work introduces a new methodology to solve a multiobjective distributed energy resource (DER) accommodation problem of distribution systems by combining a technique for order of preference by similarity to ideal solution and an improved elephant herding optimization technique. A complex real-life multiobjective DER planning problem is formulated and solved using the proposed method. The aim is to determine the optimal sites and sizes of DERs to maximize the overall benefits of utility and consumers. The proposed technique is productively implemented on three small to large-scale benchmark test distribution systems of 33-bus, 118-bus, and 880-bus. The optimal solutions obtained are compared with the methods available in the literature. The comparison shows that the proposed optimization method is promising.
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