Optimal CHP Planning in Integrated Energy Systems Considering Network Charges

Hantao Wang, Chenghong Gu, Xin Zhang, Furong Li

Research output: Contribution to journalArticlepeer-review

23 Citations (SciVal)
155 Downloads (Pure)

Abstract

This paper proposes a novel optimal planning model for combined heat and power (CHP) in multiple energy systems of natural gas and electricity to benefit both networks by deferring investment for network owners and reducing use-of-system (UoS) charge for network users. The new planning model considers the technical constraints of both electricity and natural gas systems. A two-stage planning approach is proposed to determine the optimal site and size of CHPs. In the first stage, a long-run incremental cost matrix is designed to reflect CHP locational impact on both natural gas and electricity network investment, used as a criterion to choose the optimal location. In the second stage, CHP size is determined by solving an integrated optimal model with the objective to minimize total incremental network investment costs. The proposed method is resolved by the interior-point method and implemented on a practically integrated electricity and natural gas systems. Two case studies are conducted to test the performance for single and multiple CHPs cases. This paper enables cost-efficient CHP planning to benefit integrated natural gas and electricity networks and network users in terms of reduced network investment cost and consequently reduced UoS charges.
Original languageEnglish
Article number8777322
Pages (from-to)2684 - 2693
Number of pages10
JournalIEEE Systems Journal
Volume14
Issue number2
Early online date26 Jul 2019
DOIs
Publication statusPublished - 30 Jun 2020

Bibliographical note

Publisher Copyright:
© 2007-2012 IEEE.

Keywords

  • Combined heat and power (CHP)
  • incremental cost (IC)
  • multiple energy networks
  • optimal planning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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