期刊
IEEE TRANSACTIONS ON POWER SYSTEMS
卷 33, 期 2, 页码 2140-2154出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2017.2727859
关键词
Co-optimization planning; N-1 contingency; power-to-gas; probabilistic reliability; robust optimization
资金
- U.S. National Science Foundation [ECCS-1254310, CMMI-1635339]
- Science and Technology Support Program of Sichuan Province [2016GZ0143]
- Key Project of National Natural Science Foundation of China [51637008]
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [1254310] Funding Source: National Science Foundation
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.
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