Long-term hydropower optimal operation model for peak load regulating of typical days

Xinyu Wu, Chuntian Cheng, Jianjian Shen, Kwok Wing Chau

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

A long-term optimal operation model for peak load regulating of typical days by hydropower systems is proposed. A successive load shaving algorithm is used for daily power scheduling of hydropower plants. The long-term operation and typical daily loads scheduling is integrated into one model by taking the minimization of the maximum residual load of typical days as objective. Aggregated function is used to objective transformation, and the model is solved by a successive searching algorithm. Case study shows that the proposed model can describe the long-term peak load regulating demands and yield better results than the models in which only the average power load are considered. The long-term operation plan and power schedule of typical days can be obtained synchronously. The proposed model is applicable for long-term hydropower operation in hydrothermal scheduling environment.
Original languageEnglish
Title of host publicationWorld Environmental and Water Resources Congress 2013
Subtitle of host publicationShowcasing the Future - Proceedings of the 2013 Congress
Pages2190-2199
Number of pages10
Publication statusPublished - 18 Nov 2013
EventWorld Environmental and Water Resources Congress 2013: Showcasing the Future - Cincinnati, OH, United States
Duration: 19 May 201323 May 2013

Conference

ConferenceWorld Environmental and Water Resources Congress 2013: Showcasing the Future
Country/TerritoryUnited States
CityCincinnati, OH
Period19/05/1323/05/13

Keywords

  • Hydropower
  • Long Term
  • Optimal Operation
  • Peak Load Regulating
  • Typical day

ASJC Scopus subject areas

  • Water Science and Technology

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