A successive linearization based optimal power-gas flow method
•A linearized OPGF model considering power loss, gas loss, reactive power, and voltage is constructed.•A successive mixed-integer QP method is developed to ensure the solution accuracy.•The proposed OPGF method can offer a high-accuracy and computationally efficient solution. Optimal power-gas flow...
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| Vydané v: | International journal of electrical power & energy systems Ročník 149; s. 109011 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.07.2023
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| ISSN: | 0142-0615, 1879-3517 |
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| Abstract | •A linearized OPGF model considering power loss, gas loss, reactive power, and voltage is constructed.•A successive mixed-integer QP method is developed to ensure the solution accuracy.•The proposed OPGF method can offer a high-accuracy and computationally efficient solution.
Optimal power-gas flow (OPGF) problem is a fundamental coordinated operation problem. However, the nonlinear AC power flow model and nonconvex gas flow model pose a huge challenge to OPGF calculation. The common treatments in the existing literature adopt simplified modeling of power and gas systems to obtain a relatively tractable model, which may produce an inaccurate and insecure solution (e.g., violation of voltage limits). Therefore, this paper considers the nonlinear AC power flow modeling and nonconvex gas flow modeling in the OPGF problem. To address the nonconvexities arising from the nonlinear AC power flow model, nonconvex Weymouth equations, and compressors’ gas consumption equations, the concept of successive linearization is introduced and then a successive mixed-integer quadratic programming (SMIQP) method is developed to solve the nonconvex OPGF problem. Numerical results demonstrate the effectiveness of the proposed SMIQP-based OPGF method in terms of high accuracy and high computational efficiency. |
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| AbstractList | •A linearized OPGF model considering power loss, gas loss, reactive power, and voltage is constructed.•A successive mixed-integer QP method is developed to ensure the solution accuracy.•The proposed OPGF method can offer a high-accuracy and computationally efficient solution.
Optimal power-gas flow (OPGF) problem is a fundamental coordinated operation problem. However, the nonlinear AC power flow model and nonconvex gas flow model pose a huge challenge to OPGF calculation. The common treatments in the existing literature adopt simplified modeling of power and gas systems to obtain a relatively tractable model, which may produce an inaccurate and insecure solution (e.g., violation of voltage limits). Therefore, this paper considers the nonlinear AC power flow modeling and nonconvex gas flow modeling in the OPGF problem. To address the nonconvexities arising from the nonlinear AC power flow model, nonconvex Weymouth equations, and compressors’ gas consumption equations, the concept of successive linearization is introduced and then a successive mixed-integer quadratic programming (SMIQP) method is developed to solve the nonconvex OPGF problem. Numerical results demonstrate the effectiveness of the proposed SMIQP-based OPGF method in terms of high accuracy and high computational efficiency. |
| ArticleNumber | 109011 |
| Author | Liu, Zining Luo, Ceheng Xu, Zheng Dai, Wei Zhao, Yaxue Goh, HuiHwang |
| Author_xml | – sequence: 1 givenname: Wei surname: Dai fullname: Dai, Wei organization: College of Electrical Engineering, Guangxi University, Nanning 530000, China – sequence: 2 givenname: Ceheng surname: Luo fullname: Luo, Ceheng organization: College of Electrical Engineering, Guangxi University, Nanning 530000, China – sequence: 3 givenname: Zheng surname: Xu fullname: Xu, Zheng organization: State Grid Jiangsu Electric Power Co. LTD. Economic Research Institute, Nanjing 210008, China – sequence: 4 givenname: Yaxue surname: Zhao fullname: Zhao, Yaxue email: yaxue_zhao@163.com organization: Wuxi Stars Micro System Technologies Co., Ltd. Shenzhen 518057, China – sequence: 5 givenname: HuiHwang orcidid: 0000-0003-3220-7631 surname: Goh fullname: Goh, HuiHwang organization: College of Electrical Engineering, Guangxi University, Nanning 530000, China – sequence: 6 givenname: Zining surname: Liu fullname: Liu, Zining organization: College of Electrical Engineering, Guangxi University, Nanning 530000, China |
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| SubjectTerms | Mixed-integer quadratic programming Nonconvexity Optimal power-gas flow Successive linearization |
| Title | A successive linearization based optimal power-gas flow method |
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