Available transfer capability evaluation in a deregulated electricity market considering correlated wind power
Evaluation of available transfer capability (ATC) is a complicated process involving the determination of the total transfer capability (TTC) and the existing transfer commitments (ETC). Considering the uncertain renewable generation such as wind power will bring more challenge to this process. Prev...
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| Vydané v: | IET generation, transmission & distribution Ročník 12; číslo 1; s. 53 - 61 |
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The Institution of Engineering and Technology
01.01.2018
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| ISSN: | 1751-8687, 1751-8695 |
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| Abstract | Evaluation of available transfer capability (ATC) is a complicated process involving the determination of the total transfer capability (TTC) and the existing transfer commitments (ETC). Considering the uncertain renewable generation such as wind power will bring more challenge to this process. Previously the uncertainty of wind power is considered either in the ED model or the following TTC calculation, but not included in two process simultaneously. Therefore, the ATC output may not be accurate since the uncertainty impact two problem simultaneously. To consider the uncertainty and correlation of wind power in both ISO’s ED and ATC evaluation, this paper proposes a bi-level optimization framework in which the ATC evaluation is formulated as the upper level problem and the ED is the lower level. The bi-level model is first converted to a mathematic program with equilibrium constraints (MPEC) by recasting the lower level problem as its Karush-Kuhn-Tucker (KKT) optimality conditions, and then transformed to a mixed-integer linear programming (MILP) problem which can be solved by existing optimization tools. Case studies on the PJM 5-bus and IEEE 118-bus systems are presented to verify the proposed methodology and the impacts of correlation of wind power on ATC are analysed. |
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| AbstractList | Evaluation of available transfer capability (ATC) is a complicated process involving the determination of the total transfer capability (TTC) and the existing transfer commitments (ETC). Considering the uncertain renewable generation such as wind power will bring more challenge to this process. Previously the uncertainty of wind power is considered either in the ED model or the following TTC calculation, but not included in two process simultaneously. Therefore, the ATC output may not be accurate since the uncertainty impact two problem simultaneously. To consider the uncertainty and correlation of wind power in both ISO's ED and ATC evaluation, this paper proposes a bi‐level optimization framework in which the ATC evaluation is formulated as the upper level problem and the ED is the lower level. The bi‐level model is first converted to a mathematic program with equilibrium constraints (MPEC) by recasting the lower level problem as its Karush‐Kuhn‐Tucker (KKT) optimality conditions, and then transformed to a mixed‐integer linear programming (MILP) problem which can be solved by existing optimization tools. Case studies on the PJM 5‐bus and IEEE 118‐bus systems are presented to verify the proposed methodology and the impacts of correlation of wind power on ATC are analysed. |
| Author | Chen, Houhe Li, Fangxing Zhang, Rufeng Fang, Xin Jiang, Tao Li, Guoqing |
| Author_xml | – sequence: 1 givenname: Houhe surname: Chen fullname: Chen, Houhe organization: 1Department of Electrical Engineering, Northeast Electric Power University, Jilin, JL 132012, People's Republic of China – sequence: 2 givenname: Xin surname: Fang fullname: Fang, Xin organization: 2Market Applications, GE Grid Solutions, Redmond, WA 98052, USA – sequence: 3 givenname: Rufeng surname: Zhang fullname: Zhang, Rufeng organization: 1Department of Electrical Engineering, Northeast Electric Power University, Jilin, JL 132012, People's Republic of China – sequence: 4 givenname: Tao surname: Jiang fullname: Jiang, Tao email: tjiang@neepu.edu.cn organization: 1Department of Electrical Engineering, Northeast Electric Power University, Jilin, JL 132012, People's Republic of China – sequence: 5 givenname: Guoqing surname: Li fullname: Li, Guoqing organization: 1Department of Electrical Engineering, Northeast Electric Power University, Jilin, JL 132012, People's Republic of China – sequence: 6 givenname: Fangxing surname: Li fullname: Li, Fangxing organization: 3Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA |
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| Copyright | The Institution of Engineering and Technology 2018 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
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| Keywords | power generation planning transmission commitments integer programming transfer capability evaluation continuous power flow bi-level optimisation framework available transfer capability linear programming correlated wind power economic dispatch mixed-integer linear programming problem wind farms mathematic program with equilibrium constraints transmission networks power generation economics deregulated electricity market planning wind power total transfer capability independent system operator IEEE 118-bus systems power markets Karush–Kuhn–Tucker optimality conditions wind power plants |
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| SubjectTerms | available transfer capability bi‐level optimisation framework continuous power flow correlated wind power deregulated electricity market economic dispatch IEEE 118‐bus systems independent system operator integer programming Karush–Kuhn–Tucker optimality conditions linear programming mathematic program with equilibrium constraints mixed‐integer linear programming problem planning power generation economics power generation planning power markets Research Article total transfer capability transfer capability evaluation transmission commitments transmission networks wind farms wind power wind power plants |
| Title | Available transfer capability evaluation in a deregulated electricity market considering correlated wind power |
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