Model-based DG control as an economic solution to load growth

Joshua Hambrick, Murat Dilek, Yishan Liang, Rich Seguin, Haukur Asgeirsson, Robert Broadwater

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

At the distribution level distributed generators (DGs) can sometimes provide more economic solutions to load growth than building new substations and lines. In such cases a DG can be controlled to eliminate cable overloads or low voltages due to load growth. A model that accurately estimates conditions throughout the circuit can make the DG solution even more economically attractive, and in some cases with underground cables, feasible. The use of the model can avoid the cost of installing new instrumentation and communication equipment for the control function throughout the circuit, which can spread out over many square miles. DGs also provide benefits in system reliability and operating costs, especially near system peak. These benefits can increase significantly when circuits are interconnected. This paper addresses control architecture, field validation of models, economics, and field experience with model-based DG control.

Original languageEnglish
Title of host publicationIEEE Power and Energy Society 2008 General Meeting
Subtitle of host publicationConversion and Delivery of Electrical Energy in the 21st Century, PES
DOIs
StatePublished - 2008
EventIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES - Pittsburgh, PA, United States
Duration: Jul 20 2008Jul 24 2008

Publication series

NameIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES

Conference

ConferenceIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
Country/TerritoryUnited States
CityPittsburgh, PA
Period07/20/0807/24/08

Keywords

  • Distributed generation
  • Economics
  • Power distribution

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