Controlling micro-CHP systems to modulate electrical load profiles

Andrew Peacock, M. Newborough

Research output: Contribution to journalArticle

52 Citations (Scopus)

Abstract

As micro-CHP systems move towards mass deployment an increasing emphasis will be placed on their effect on time-varying demands for network electricity. A 50 dwelling data set of heat and power demands was employed to investigate the implementation of various penetrations of µCHP system on the resultant electrical load profile using two control methodologies: heat-led and a proposed method for modulating the aggregate electrical load. The first caused the daily load factor of the net load profile to decrease from 42.5% to 28.6% on a January day and the after diversity maximum demand to decrease from 2.0 to 1.2 kW. The second caused the daily load factor to increase from 42.5% to 48.6% and the after diversity maximum demand to decrease from 2.0 to 0.9 kW. The extent to which these improvements in load factor can be achieved was investigated in detail and maximum resultant load factor values were identified for a day in January, April and July. Further improvements in the modulating capability of this control approach may be realised if prime movers capable of rapid start-up, shut-down and cycling can be developed. The control of micro-CHP systems in this manner offers a mechanism for managing the load at distribution transformers. © 2006.

Original languageEnglish
Pages (from-to)1093-1103
Number of pages11
JournalEnergy
Volume32
Issue number7
DOIs
Publication statusPublished - Jul 2007

Keywords

  • Combined heat and power
  • Control
  • Distributed generation
  • Electrical load

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