TY - JOUR
T1 - Robust Co-Optimization Planning of Interdependent Electricity and Natural Gas Systems with a Joint N-1 and Probabilistic Reliability Criterion
AU - He, Chuan
AU - Wu, Lei
AU - Liu, Tianqi
AU - Bie, Zhaohong
N1 - Publisher Copyright:
© 1969-2012 IEEE.
PY - 2018/3
Y1 - 2018/3
N2 - 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.
AB - 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.
KW - Co-optimization planning
KW - N-1 contingency
KW - power-to-gas
KW - probabilistic reliability
KW - robust optimization
UR - http://www.scopus.com/inward/record.url?scp=85028943861&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028943861&partnerID=8YFLogxK
U2 - 10.1109/TPWRS.2017.2727859
DO - 10.1109/TPWRS.2017.2727859
M3 - Article
AN - SCOPUS:85028943861
SN - 0885-8950
VL - 33
SP - 2140
EP - 2154
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 2
ER -