Simultaneous allocation of distributed energy resource using improved particle swarm optimization

Neeraj Kanwar, Nikhil Gupta, K.R. Niazi, Anil Swarnkar and R.C. Bansal

Applied Energy, 2017, vol. 185, issue P2, 1684-1693

Abstract: Smart grid initiatives require integrated solution for radial distribution networks (RDNs) to achieve their optimum performance. The optimal allocation of distributed energy resources (DERs), such as shunt capacitors and distributed generation, when integrated with distribution network reconfiguration (DNR), can achieve desired objectives of smart distribution systems. This paper addresses a multi-objective formulation for simultaneous allocation of DERs in RDNs to maximize annual savings by reducing the charges for annual energy losses, peak power losses and substation capacity release against the annual charges incurred to purchase DERs while maintaining better node voltage profiles and feeder current profiles. An improved particle swarm optimization (IPSO) method is proposed to overcome against the inherent tendency of local trappings in PSO. A node sensitivity-based guided search algorithm (GSA) is also suggested to enhance the overall performance of the optimizing tool. GSA virtually squeezes the problem search space without loss of diversity. Distribution networks are optimally reconfigured after optimally placing DERs. The proposed method is investigated on the benchmark IEEE 33-bus and 69-bus test distribution systems. The application results show that the proposed integrated approach is very useful for electric utilities to enhance their profits and stagger their future expansion plans.

Keywords: Distributed energy resources; Distribution network reconfiguration; Improved particle swarm optimization; Guided search algorithm; Smart grids (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (20)

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DOI: 10.1016/j.apenergy.2016.01.093

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