An Efficient Planning Algorithm for Hybrid Remote Microgrids

Sayed Mohamed, Muhammad Ismail, Muhammad Ismail Muhammad, Erchin Serpedin, Khalid Qaraqe

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper presents an efficient planning algorithm for microgrids in remote isolated communities. Different from the existing research that assumes a specific microgrid topology, we propose a planning algorithm that jointly specifies the optimal grid topology, namely AC, DC, or hybrid AC/DC, along with the optimal locations and sizes of distributed energy resources, energy storage systems, and AC/DC converters. The planning objective is to ensure reliable power flow with minimum deployment and operational costs. The planning problem is formulated as a mixed integer non-linear program, and given the complexity of the problem, the proposed algorithm implements a two-stage framework that results in an efficient planning solution. The first stage deals with the specification of the microgrid topology, and allocation and sizing of all the equipment following a heuristic optimization approach. Upon deciding the microgrid topology and equipment installation in the first stage, the second stage of the planning algorithm ensures smooth and reliable operation for the proposed topology over all possible operation scenarios. This is achieved with minimal operational costs by considering the optimal non-linear scheduling problem for the installed equipment. Test cases are presented to investigate the performance of the proposed planning algorithm at different fuel transportation cost scenarios.

Original languageEnglish
JournalIEEE Transactions on Sustainable Energy
DOIs
Publication statusAccepted/In press - 2 May 2018

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Planning
Topology
Costs
Energy resources
Energy storage
Scheduling
Specifications

Keywords

  • hybrid microgrids
  • islanded microgrids
  • microgrid planning
  • Remote microgrids

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

An Efficient Planning Algorithm for Hybrid Remote Microgrids. / Mohamed, Sayed; Ismail, Muhammad; Muhammad, Muhammad Ismail; Serpedin, Erchin; Qaraqe, Khalid.

In: IEEE Transactions on Sustainable Energy, 02.05.2018.

Research output: Contribution to journalArticle

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