CN

Mingyu YanYAN MINGYU

研究员(自然科学)    Supervisor of Doctorate Candidates    Supervisor of Master's Candidates

  • Professional Title:研究员(自然科学)
  • Gender:Male
  • Status:Employed
  • Department:School of Electrical and Electronic Engineering
  • Education Level:Postgraduate (Doctoral)
  • Degree:Doctoral Degree in Engineering

Paper Publications

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Optimal Dispatch of Integrated Electricity-Natural Gas System Considering Demand Response and Dynamic Natural Gas Flow

Release time:2018-10-25
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Journal paper
First Author:
Yining Zhang
Correspondence Author:
Yubin He
Co-author:
Mingyu Yan,Chuangxin Guo,Shiying Ma,Dunwen Song
Journal:
Automation of Electric Power Systems
Included Journals:
EI
Place of Publication:
China
Discipline:
Engineering
First-Level Discipline:
Electrical Engineering
Document Type:
J
Volume:
42
Issue:
20
Page Number:
1-8
Key Words:
integrated electricity-natural gas system; demand response; dynamic characteristic; exact cone relaxation; time-of-use price; day-ahead dispatch
DOI number:
10.7500/AEPS20180128005
Date of Publication:
2018-10-25
Impact Factor:
7.086
Abstract:
This paper presents a novel optimal dispatch model of integrated electricity-natural gas system(IEGS)considering demand response and dynamic natural gas flow. On the one hand, energy demand response is included into the proposed model to smooth out day-ahead load curves of electricity and gas, which can improve system efficiency by utilizing the complementary characteristic between different types of energy. Demand side response is detailedly described by price-based and alternative response. The former is used to denote the transfer effect of the same kind of energy among different time periods based on price guidance, while the latter is used to denote the substitution of different kinds of energy at the same time. On the other hand, complicated dynamic natural gas flow function is considered in the proposed model to describe the operation status of the system. The primal operation nonlinear nonconvex model is relaxed into second-order cone programming, which can be directly solved, and the sequential cone programming method is applied to guarantee the strictness of the relaxation. Simulation tests validate that demand response can improve the operational efficiency of IEGS. Compared to the steady-state model, dynamic model can better describe the dynamic process of natural gas network.
Links to published journals:
https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKibYlV5Vjs7i0-kJR0HYBJ80QN9L51zrP2frfisbYStiP1Bs1DbtwfaBl8Jis2_oUCn_Wb32JDpc&uniplatform=NZKPT