• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2020, Vol. 41 ›› Issue (12): 112-122.doi: 10.12204/j.issn.1000-7229.2020.12.011

• Energy Management and Cooperative Control • Previous Articles     Next Articles

Homogeneous Network Flow Optimization for Regional Gas-Electricity Integrated Energy System

HU Xingji1, MA Jun1, WANG Zhennan2, SUI Jiaxin2, ZOU Nan2, LI Weidong1   

  1. 1. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, Liaoning Province, China
    2. State Grid Dalian Power Supply Company, Dalian 116000, Liaoning Province, China
  • Received:2020-05-13 Online:2020-12-01 Published:2020-12-04
  • Contact: LI Weidong
  • Supported by:
    National Natural Science Foundation of China(51677018);State Grid Corporation of China Research Program(2018ZX-25)

Abstract:

Current research on integrated energy system (IES) optimization lacks unified and homogeneous work. Due to the main focus on the power transmission grid, it is also not suitable for distribution network with high resistance-to-reactance ratio. The network flow model has the ability to unify and visually represent the energy flow of the transmission grid, distribution network and natural gas network. In this paper, since the characteristics of IES are the same internal essence and similar external forms, a unified homogeneous network flow model of the gas-electricity IES is constructed with the goal of minimizing the total system economic cost and the constraints of system safety are constructed. Heterogeneous energy is homogenized to the unified platform for calculation. Case studies show that this model can clearly show the energy flow and has no limitation of the grid structure. The corresponding algorithm can quickly converge linearly. It can reasonably reflect the characteristics of IES including the distribution network, and provide a reference for unified optimization dispatch of multi-energy flow.

Key words: gas-electricity integrated energy system (GEIES), distribution network, homogeneous, network flow, unified computing

CLC Number: