Optimal energy scheduling for a grid connected Microgrid based on Multi-period Imperialist competition algorithm

Maziar Mirhosseini Moghaddam, Mousa Marzband, Narges Parhizi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

Abstract

More flexibility, better reliability achievement and optimal usage of distributed generation are all together caused to develop Microgrids (MGs) in the power systems. The main duty of an optimal Energy Management System (EMS) is to find the best solution for operation and scheduling of generation resources with the least possible of the operation cost, demand side management and power exchange with the main grid. An EMS based on Multi-dimension Imperialist Competitive Algorithm (thereafter it is called EMS-MICA briefly) is proposed in this paper to consider the non-linear nature of MG system. The fulfillment of the load requirement, the technical specifications of the generation resources and the main grid constraints are included in the proposed problem. Moreover, the obtained results are compared to an EMS based on Mixed Integer Non-linear Programming (EMS-MINLP) approach to achieve the lower Market Clearing Price (MCP) during day-ahead scheduling. The results are proved that the efficiency of the proposed algorithm is significantly improved in comparison with the EMS-MINLP algorithm.
Original languageEnglish
Title of host publicationPower and Energy (PECon), 2016 IEEE International Conference on
PublisherIEEE
Pages44-49
Number of pages6
ISBN (Print)9781509025473
DOIs
Publication statusPublished - 19 Jun 2017
EventIEEE International Conference on Power and Energy - Melaka, Malaysia
Duration: 28 Nov 201629 Nov 2016

Conference

ConferenceIEEE International Conference on Power and Energy
Abbreviated titlePECon 2016
CountryMalaysia
CityMelaka
Period28/11/1629/11/16

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