Cost-Benefit Analysis Method for Optimizing Spinning Reserve Requirements with Consideration of Wind Power Generation under Carbon Trading Environment

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

5 Scopus citations

Abstract

Because various uncertainties in power systems including forecast errors of load and wind power as well as forced outages of generators are difficult to be comprehensively and accurately considered, the existing methods of spinning reserve optimization considering low-carbon factors cost cannot coordinate the impacts of wind power scheduling on the reliability, economy and low-carbon emission of power systems operation. Therefore, based on cost-benefit analysis, the loss-of-load risk of power systems considering wind power curtailments and the probabilistic characteristics of load, wind power and generators is firstly determined in this paper, and then a model which simultaneously minimizes the generation cost of conventional generators, the expected cost of load shedding, the penalty cost of wind power curtailments and the carbon emission cost is proposed to calculate the amount of optimal spinning reserve by introducing the value of lost load and the carbon emission trading mechanism. It achieves the joint optimization of the low-carbon emission, economy and reliability of power systems operation. Using mixed integer linear programming method, simulation studies on a modified IEEE 26-generator reliability test system connected to a wind farm are presented to verify the effectiveness and advantage of the proposed model.

Original languageEnglish
Title of host publicationProceedings - 1st IEEE International Conference on Energy Internet, ICEI 2017
EditorsJunwei Cao, Wenhua Liu, Jiye Wang, Kai Xie
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages182-187
Number of pages6
ISBN (Electronic)9781509057597
DOIs
StatePublished - 11 May 2017
Externally publishedYes
Event1st IEEE International Conference on Energy Internet, ICEI 2017 - Beijing, China
Duration: 17 Apr 201721 Apr 2017

Publication series

NameProceedings - 1st IEEE International Conference on Energy Internet, ICEI 2017

Conference

Conference1st IEEE International Conference on Energy Internet, ICEI 2017
Country/TerritoryChina
CityBeijing
Period17/04/1721/04/17

Keywords

  • cost-benefit analysis
  • loss-of-load risk
  • low-carbon
  • mixed integer linear programming
  • spinning reserve
  • wind power generation

Fingerprint

Dive into the research topics of 'Cost-Benefit Analysis Method for Optimizing Spinning Reserve Requirements with Consideration of Wind Power Generation under Carbon Trading Environment'. Together they form a unique fingerprint.

Cite this