Stochastic analysis of residential micro combined heat and power system

Research output: Contribution to journalJournal articleResearchpeer-review

  • H. Karami
  • M. J. Sanjari
  • H. B. Gooi
  • Gevork B. GHAREHPETIAN Gharehpetian
  • J. M. Guerrero

Abstract

In this paper the combined heat and power functionality of a fuel-cell in a residential hybrid energy system, including a battery, is studied. The demand uncertainties are modeled by investigating the stochastic load behavior by applying Monte Carlo simulation. The colonial competitive algorithm is adopted to the hybrid energy system scheduling problem and different energy resources are optimally scheduled to have optimal operating cost of hybrid energy system. In order to show the effectiveness of the colonial competitive algorithm, the results are compared with the results of the harmony search algorithm. The optimized scheduling of different energy resources is listed in an efficient look-up table for all time intervals. The effects of time of use and the battery efficiency and its size are investigated on the operating cost of the hybrid energy system. The results of this paper are expected to be used effectively in a real hybrid energy system.
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In this paper the combined heat and power functionality of a fuel-cell in a residential hybrid energy system, including a battery, is studied. The demand uncertainties are modeled by investigating the stochastic load behavior by applying Monte Carlo simulation. The colonial competitive algorithm is adopted to the hybrid energy system scheduling problem and different energy resources are optimally scheduled to have optimal operating cost of hybrid energy system. In order to show the effectiveness of the colonial competitive algorithm, the results are compared with the results of the harmony search algorithm. The optimized scheduling of different energy resources is listed in an efficient look-up table for all time intervals. The effects of time of use and the battery efficiency and its size are investigated on the operating cost of the hybrid energy system. The results of this paper are expected to be used effectively in a real hybrid energy system.
Original languageEnglish
JournalEnergy Conversion and Management
Volume138
Pages (from-to)190-198
Number of pages9
ISSN0196-8904
DOI
Publication statusPublished - 15 Apr 2017
Publication categoryResearch
Peer-reviewedYes

    Research areas

  • Combined heat and power (CHP), Hybrid energy system (HES), Load demand uncertainty, Monte Carlo simulation (MCS), Optimal scheduling, Residential load sector, Stochastic load, Stochastic programming, Time of use (TOU)
ID: 255852927