Optimal sizing and energy scheduling of isolated microgrid considering the battery lifetime degradation

PLoS One. 2019 Feb 14;14(2):e0211642. doi: 10.1371/journal.pone.0211642. eCollection 2019.

Abstract

The incessantly growing demand for electricity in today's world claims an efficient and reliable system of energy supply. Distributed energy resources such as diesel generators, wind energy and solar energy can be combined within a microgrid to provide energy to the consumers in a sustainable manner. In order to ensure more reliable and economical energy supply, battery storage system is integrated within the microgrid. In this article, operating cost of isolated microgrid is reduced by economic scheduling considering the optimal size of the battery. However, deep discharge shortens the lifetime of battery operation. Therefore, the real time battery operation cost is modeled considering the depth of discharge at each time interval. Moreover, the proposed economic scheduling with battery sizing is optimized using firefly algorithm (FA). The efficacy of FA is compared with other metaheuristic techniques in terms of performance measurement indices, which are cost of electricity and loss of power supply probability. The results show that the proposed technique reduces the cost of microgrid and attain optimal size of the battery.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Electric Power Supplies / economics*
  • Electricity
  • Solar Energy / economics*
  • Wind

Grants and funding

The authors would like to acknowledge the support by the Ministry of Higher Education through FRGS (FP052-2017A). The authors thank the technical and financial assistance of UM Power Energy Dedicated Advanced Centre (UMPEDAC), the Higher Institution Centre of Excellence (HICoE) Program Research Grant, UMPEDAC - 2018(MOHE HICOE – UMPEDAC) and RU007-2018.The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.