Double-Layer Optimization Mechanism for Multi-Area OPF Considering Valve-Point Loading Effect
In terms of the multi-area optimal power flow (OPF) problem, the optimized objectives are always a fuel cost function expressed by a second-order polynomial. However, the valve-point loading effect, whose cost curve is a transcendental function formed by the superposition of the sine and polynomial...
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| Vydáno v: | CSEE Journal of Power and Energy Systems Ročník 11; číslo 2; s. 683 - 691 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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China electric power research institute
2025
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| Témata: | |
| ISSN: | 2096-0042 |
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| Abstract | In terms of the multi-area optimal power flow (OPF) problem, the optimized objectives are always a fuel cost function expressed by a second-order polynomial. However, the valve-point loading effect, whose cost curve is a transcendental function formed by the superposition of the sine and polynomial function, will make the objective function non-convex and non-differentiable. Conventional distributed optimization technologies can hardly make a solution directly. Therefore, it is necessary to realize a distributed solution for multi-area OPF from another point of view. In this paper, we constitute a new double-layer optimization mechanism. The proposed distributed meta-heuristic optimization (DMHO) algorithm is put on the top layer to optimize the dispatching of each area, and in each iteration a distributed power flow calculation method is embedded as the bottom layer to minimize the mismatch of power balance. Numerical experiments demonstrate that the proposed approach not only implements a multi-area OPF distributed solution but also accelerates the convergence rate, improves the solution accuracy and enhances the robustness. In addition, a fully decentralized computation experiment is performed in an actual distributed environment to test its practicability and computation efficiency. |
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| AbstractList | In terms of the multi-area optimal power flow (OPF) problem, the optimized objectives are always a fuel cost function expressed by a second-order polynomial. However, the valve-point loading effect, whose cost curve is a transcendental function formed by the superposition of the sine and polynomial function, will make the objective function non-convex and non-differentiable. Conventional distributed optimization technologies can hardly make a solution directly. Therefore, it is necessary to realize a distributed solution for multi-area OPF from another point of view. In this paper, we constitute a new double-layer optimization mechanism. The proposed distributed meta-heuristic optimization (DMHO) algorithm is put on the top layer to optimize the dispatching of each area, and in each iteration a distributed power flow calculation method is embedded as the bottom layer to minimize the mismatch of power balance. Numerical experiments demonstrate that the proposed approach not only implements a multi-area OPF distributed solution but also accelerates the convergence rate, improves the solution accuracy and enhances the robustness. In addition, a fully decentralized computation experiment is performed in an actual distributed environment to test its practicability and computation efficiency. |
| Author | Xuancong Xu Jizhong Zhu Yun Liu Cong Zeng |
| Author_xml | – sequence: 1 fullname: Jizhong Zhu organization: School of Electric Power, South China University of Technology,Guangzhou,China,510641 – sequence: 2 fullname: Cong Zeng organization: School of Electric Power, South China University of Technology,Guangzhou,China,510641 – sequence: 3 fullname: Yun Liu organization: School of Electric Power, South China University of Technology,Guangzhou,China,510641 – sequence: 4 fullname: Xuancong Xu organization: School of Automation, Guangdong University of Technology,Guangzhou,China,510006 |
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| Title | Double-Layer Optimization Mechanism for Multi-Area OPF Considering Valve-Point Loading Effect |
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