Optimal Energy Management for the Integrated Power and Gas Systems via Real-time Pricing

KangAn Shu, Xiaomeng Ai , Jinyu Wen, Jiakun Fang, Zhe Chen, Cheng Luo

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

This work proposed a bi-level formulation for energy management in the integrated power and natural gas system via real-time price signals. The upper-level problem minimizes the operational cost, in which dynamic electricity price and dynamic gas tariff are proposed. The lower level problem is the arbitrage model of gas-fired plants and P2Gs stations, in which the transient gas flow is introduced. This bi-level model is relaxed to a mixed-integer quadratic programming problem using the Karush-Kuhn-Tucker optimality conditions. Results show that the dynamic price and tariff can make gas-fired units and P2Gs plants follow the system operator’s preferences such as wind power accommodation, mitigation of unsupplied load and relieving the network congestion.
Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE Power & Energy Society General Meeting (PESGM)
Number of pages5
PublisherIEEE
Publication dateAug 2018
Pages1-5
ISBN (Print)978-1-5386-7704-9
ISBN (Electronic)978-1-5386-7703-2
DOIs
Publication statusPublished - Aug 2018
EventIEEE Power and Energy Society General Meeting, PESGM 2018 - Portland, United States
Duration: 5 Aug 20189 Aug 2018

Conference

ConferenceIEEE Power and Energy Society General Meeting, PESGM 2018
CountryUnited States
CityPortland
Period05/08/201809/08/2018
SeriesIEEE Power and Energy Society General Meeting
ISSN1944-9925

Keywords

  • Integrated energy system
  • Bi-level programming
  • Equilibrium constraints

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