Optimizing energy management and control of distributed generation resources in islanded microgrids
Mohammad Abedini and
Moein Abedini
Utilities Policy, 2017, vol. 48, issue C, 32-40
Abstract:
A new problem formulation for islanded microgrids (MG) is introduced and developed by employing a multi-objective function approach where the objectives include: i) fuel consumption cost, ii) voltage stability index, and iii) total voltage variation). A hybrid optimization algorithm is proposed to solve the proposed algorithm by combining the harmony algorithm (HS), mutation, and crossover operators of the genetic algorithm (GA). To find the best solution for the non-dominated results, a fuzzy logic method is employed. The performance of the proposed approach is compared with those of the other optimization and non-optimization methods in MG using 33-bus test network in a MATLAB environment. The obtained results show that the proposed algorithm is capable of: i) significantly reducing the islanded MG customer interruptions and ii) improving the islanded MGs stability. In addition, selecting appropriate parameters of droop facilitate the successful implementation of the islanded MG concept in distribution systems.
Keywords: Droop controller; Islanded; Optimization; Cost function (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0957178715301223
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:48:y:2017:i:c:p:32-40
DOI: 10.1016/j.jup.2017.08.003
Access Statistics for this article
Utilities Policy is currently edited by Beecher, Janice
More articles in Utilities Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().