Strategic optimisation of microgrid by evolving a unitised regenerative fuel cell system operational criterion

Gaurav Bhansali, Bhanu Pratap Singh, Rajesh Kumar

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

In this paper, the problem of microgrid optimisation with storage has been addressed in an unaccounted way rather than confining it to loss minimisation. Unitised regenerative fuel cell (URFC) systems have been studied and employed in microgrids to store energy and feed it back into the system when required. A value function-dependent on line losses, URFC system operational cost and stored energy at the end of the day are defined here. The function is highly complex, nonlinear and multi dimensional in nature. Therefore, heuristic optimisation techniques in combination with load flow analysis are used here to resolve the network and time domain complexity related with the problem. Particle swarm optimisation with the forward/backward sweep algorithm ensures optimal operation of microgrid thereby minimising the operational cost of the microgrid. Results are shown and are found to be consistently improving with evolution of the solution strategy.

Original languageEnglish
Pages (from-to)722-733
Number of pages12
JournalInternational Journal of Sustainable Energy
Volume35
Issue number8
DOIs
Publication statusPublished - 13 Sept 2016
Externally publishedYes

Keywords

  • break-even analysis
  • heuristic approach
  • microgrid
  • particle swarm optimisation
  • sweep algorithms
  • unitised regenerative fuel cell

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • General Energy
  • Process Chemistry and Technology
  • Fluid Flow and Transfer Processes

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