PLANNING OF AUTONOMOUS MICROGRID WITH ENERGY STORAGE USING GRID-BASED MULTI-OBJECTIVE HARMONY SEARCH ALGORITHM

In this paper, a novel grid-based multi-objective harmony search (GrMHS) is proposed for optimizing the location of all distributed energy resources in the distribution network. The increasing renewable energy sources (RESs) integration in the distribution network can pose more challenges in maintai...

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Bibliographic Details
Published inInternational journal of power & energy systems Vol. 37; no. 1
Main Authors Kayalvizhi, S., Kumar, D.M. Vinod
Format Journal Article
LanguageEnglish
Published Calgary ACTA Press 01.01.2017
Subjects
Algorithms
Distributed generation
Electric power distribution
Electricity distribution
Energy
Energy consumption
Energy distribution
Energy resources
Energy storage
Multiple objective analysis
Networks
Renewable energy sources
Search algorithms
Stress concentration
Uncertainty analysis
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Summary:In this paper, a novel grid-based multi-objective harmony search (GrMHS) is proposed for optimizing the location of all distributed energy resources in the distribution network. The increasing renewable energy sources (RESs) integration in the distribution network can pose more challenges in maintaining stable grid operation due to their intermittent and uncertain nature. This paper analysed extended microgrid operation of a distribution network operating with constantly varying loads, renewable sources such as wind and solar, conventional generation and energy storage system (ESS). An operation strategy is also proposed for economic commitment of controllable sources and ESSs to maintain stable microgrid operation in the presence of uncertain RESs. The constraint of renewable source available bus limits is also incorporated to study the impact on the objective functions. Moreover, the proposed planning approach with GrMHS is implemented in the IEEE 33-bus system and Indian 85-bus distribution system to validate its effectiveness and two comparison metrics were evaluated and compared with robust NSGA-II and other forms of the multi-objective harmony search algorithm to support the results.
ISSN:1710-2243
1078-3466
1710-2243
DOI:10.2316/Journal.203.2017.1.203-6276