Virtual power plant and microgrids controller for energy management based on optimization techniques

Maher G.M. Abdolrasol, Azah Mohamed, M. A. Hannan

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

© JES 2017. This paper discuss virtual power plant (VPP) and Microgrid controller for energy management system (EMS) based on optimization techniques by using two optimization techniques namely Backtracking search algorithm (BSA) and particle swarm optimization algorithm (PSO). The research proposes use of multi Microgrid in the distribution networks to aggregate the power form distribution generation and form it into single Microgrid and let these Microgrid deal directly with the central organizer called virtual power plant. VPP duties are price forecast, demand forecast, weather forecast, production forecast, shedding loads, make intelligent decision and for aggregate & optimizes the data. This huge system has been tested and simulated by using Matlab simulink. These paper shows optimizations of two methods were really significant in the results. But BSA is better than PSO to search for better parameters which could make more power saving as in the results and the discussion.
Original languageEnglish
Pages (from-to)285-294
Number of pages255
JournalJournal of Electrical Systems
Publication statusPublished - 01 Jun 2017

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Energy management
power plant
Power plants
Controllers
Particle swarm optimization (PSO)
Energy management systems
Electric power distribution
energy management
weather
forecast
distribution
particle

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

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Virtual power plant and microgrids controller for energy management based on optimization techniques. / Abdolrasol, Maher G.M.; Mohamed, Azah; Hannan, M. A.

In: Journal of Electrical Systems, 01.06.2017, p. 285-294.

Research output: Contribution to journalArticle

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