Robust Co-Optimization Planning of Interdependent Electricity and Natural Gas Systems with a Joint N-1 and Probabilistic Reliability Criterion

Chuan He, Lei Wu, Tianqi Liu, Zhaohong Bie

Research output: Contribution to journalArticlepeer-review

156 Scopus citations

Abstract

As the sharp growth of gas-fired power plants and the new emergence of power-to-gas (PtG) technology intensify the interdependence between electricity and natural gas systems, it is imperative to co-optimize the two systems for improving the overall efficiency. This paper presents a long-term robust co-optimization planning model for interdependent systems, for minimizing total investment and operation costs. Beside generators, transmission lines, gas suppliers, and pipelines, PtGs and gas compressor stations are also considered as investment candidates to effectively handle wind power uncertainties in the power system and compensate pressure losses in the gas network. Furthermore, the proposed model includes a joint N-1 and probabilistic reliability criterion to promote economical and reliable planning solutions. The proposed model is solved via a decomposition approach, by iteratively solving a base-case master problem and two operation subproblems to check N-1 and probabilistic reliability criteria. Numerical case studies illustrate the effectiveness of the proposed robust co-optimization planning approach.

Original languageEnglish
Pages (from-to)2140-2154
Number of pages15
JournalIEEE Transactions on Power Systems
Volume33
Issue number2
DOIs
StatePublished - Mar 2018

Keywords

  • Co-optimization planning
  • N-1 contingency
  • power-to-gas
  • probabilistic reliability
  • robust optimization

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