TY - JOUR
T1 - Energy Flow Optimization for Integrated Power-Gas Generation and Transmission Systems
AU - Ding, Tao
AU - Xu, Yiting
AU - Wei, Wei
AU - Wu, Lei
N1 - Publisher Copyright:
© 2005-2012 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - This paper first presents a comprehensive model of the gas system with detailed formulations on pipelines, short pipes, resistors, valves, compressors, and compressor stations. Furthermore, an optimal energy flow model is proposed for integrated power-gas generation and transmission systems. Specifically, on the generation side, gas-fired units couple the two energy systems as the power generation and gas sink; on the transmission side, gas compressor stations link the two energy systems as the power demand and gas transportation. However, gas flow equations are nonlinear and gas flow directions also need to be optimized. Logical programming and tailored piecewise linearization techniques are performed, leading to a mixed-integer linear program (MILP). Only a logarithmic number of binary variables are introduced to represent the nonlinear quadratic function, and thus, the MILP model can be solved very efficiently. Numerical results on four power-gas test systems demonstrate the effectiveness of the proposed approach.
AB - This paper first presents a comprehensive model of the gas system with detailed formulations on pipelines, short pipes, resistors, valves, compressors, and compressor stations. Furthermore, an optimal energy flow model is proposed for integrated power-gas generation and transmission systems. Specifically, on the generation side, gas-fired units couple the two energy systems as the power generation and gas sink; on the transmission side, gas compressor stations link the two energy systems as the power demand and gas transportation. However, gas flow equations are nonlinear and gas flow directions also need to be optimized. Logical programming and tailored piecewise linearization techniques are performed, leading to a mixed-integer linear program (MILP). Only a logarithmic number of binary variables are introduced to represent the nonlinear quadratic function, and thus, the MILP model can be solved very efficiently. Numerical results on four power-gas test systems demonstrate the effectiveness of the proposed approach.
KW - Compressor station
KW - gas transportation system
KW - integrated power-gas systems (IPGS)
KW - optimal energy flow
UR - http://www.scopus.com/inward/record.url?scp=85078696730&partnerID=8YFLogxK
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U2 - 10.1109/TII.2019.2924927
DO - 10.1109/TII.2019.2924927
M3 - Article
AN - SCOPUS:85078696730
SN - 1551-3203
VL - 16
SP - 1677
EP - 1687
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 3
M1 - 8746198
ER -