Stochastic Unit Commitment Model Considering the Impact of Renewable Energy Policies

  • Miao Yang
  • , Hongji Zhang
  • , Tao Ding
  • , Ning Mi
  • , Xiaozhen Ma
  • , Ning Qiao
  • , Qiang Li
  • , Hua Jing

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

Abstract

In the context of the worldwide environmental problems, it has become a global consensus to increase the installed capacity and the consumption level of renewable energy resources. In recent years, many countries, including China, have proposed various renewable energy policies, such as establishing the carbon emission trading market and developing the renewable energy quota system. Besides, demand response programs have been raised to alleviate the carbon pressure on the system and increase renewable energy consumption. However, limited effort has been expanded in quantitatively analyzing the impact of various renewable energy policy factors on the consumption level of renewable energy resources. Furthermore, the volatility and stochasticity associated with the high penetration of renewable energy sources pose a great challenge to the operation and dispatch of power systems. To solve these problems, this paper proposes a stochastic unit commitment model considering the carbon emissions trading/ carbon emission permits (CET/CEP) policies, the renewable energy quota system, and the demand response. Numerical results show the validity of the proposed model.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Power Science and Technology, ICPST 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages781-786
Number of pages6
ISBN (Electronic)9798350311358
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Power Science and Technology, ICPST 2023 - Kunming, China
Duration: 5 May 20237 May 2023

Publication series

Name2023 IEEE International Conference on Power Science and Technology, ICPST 2023

Conference

Conference2023 IEEE International Conference on Power Science and Technology, ICPST 2023
Country/TerritoryChina
CityKunming
Period5/05/237/05/23

Keywords

  • carbon CET/CEP policy
  • demand response
  • renewable energy consumption
  • renewable energy quota system
  • stochastic unit commitment

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