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Simultaneous allocation of distributed resources using improved teaching learning based optimization
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DOI：10.1016/j.enconman.2015.06.057.png)
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Abstract
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Active and reactive power flow in distribution networks can be effectively controlled by optimally placing distributed resources like shunt capacitors and distributed generators. This paper presents improved variant of Teaching Learning Based Optimization (TLBO) to efficiently and effectively deal with the problem of simultaneous allocation of these distributed resources in radial distribution networks while considering multi-level load scenario. Several algorithm specific modifications are suggested in the standard form of TLBO to cope against the intrinsic flaws of this technique. In addition, an intelligent search approach is proposed to restrict the problem search space without loss of diversity. This enhances the overall performance of the proposed method. The proposed method is investigated on IEEE 33-bus, 69-bus and 83-bus test distribution systems showing promising results. (C) 2015 Elsevier Ltd. All rights reserved.
Keywords:
Distributed resources
Meta-heuristic technique
Intelligent search
Smart distribution systems
Teaching learning based optimization
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