A Non-Iterative Coordinated Scheduling Method for a AC-DC Hybrid Distribution Network Based on a Projection of the Feasible Region of Tie Line Transmission Power
AC-DC hybrid distribution grids realize power transmission through tie lines. Accurately characterizing the power exchange capacity between regional grids while ensuring safe grid operation is the basis for the coordinated scheduling of resources in interconnected distribution grids. However, most o...
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| Vydáno v: | Energies (Basel) Ročník 17; číslo 6; s. 1462 |
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| Jazyk: | angličtina |
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Basel
MDPI AG
01.03.2024
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| ISSN: | 1996-1073, 1996-1073 |
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| Abstract | AC-DC hybrid distribution grids realize power transmission through tie lines. Accurately characterizing the power exchange capacity between regional grids while ensuring safe grid operation is the basis for the coordinated scheduling of resources in interconnected distribution grids. However, most of the current AC/DC hybrid models are linear, and it is challenging to ensure the accuracy criteria of the obtained feasible regions. In this paper, a two-stage multi-segment boundary approximation method is proposed to characterize the feasible region of hybrid distribution grid tie line operation. Information such as security operation constraints are mapped to the feasible region of the boundary tie line to accurately characterize the transmission exchange capacity of the tie line. To avoid the limitations of linear models, the method uses a nonlinear model to iteratively search for boundary points of the feasible region. This ensures high accuracy in approximating the real feasible region shape and capacity limitations. A convolutional neural network (CNN) is then utilized to map the given boundary and cost information to obtain an estimated equivalent operating cost function for the contact line, overcoming the inability of previous methods to capture nonlinear cost relationships. This provides the necessary cost information in a data-driven manner for the economic dispatch of hybrid AC-DC distribution networks. Numerical tests demonstrate the effectiveness of the method in improving coordination accuracy while preserving regional grid privacy. The key innovations are nonlinear modeling of the feasible domain of the contact line and nonlinear cost fitting for high-accuracy dispatch. |
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| AbstractList | AC-DC hybrid distribution grids realize power transmission through tie lines. Accurately characterizing the power exchange capacity between regional grids while ensuring safe grid operation is the basis for the coordinated scheduling of resources in interconnected distribution grids. However, most of the current AC/DC hybrid models are linear, and it is challenging to ensure the accuracy criteria of the obtained feasible regions. In this paper, a two-stage multi-segment boundary approximation method is proposed to characterize the feasible region of hybrid distribution grid tie line operation. Information such as security operation constraints are mapped to the feasible region of the boundary tie line to accurately characterize the transmission exchange capacity of the tie line. To avoid the limitations of linear models, the method uses a nonlinear model to iteratively search for boundary points of the feasible region. This ensures high accuracy in approximating the real feasible region shape and capacity limitations. A convolutional neural network (CNN) is then utilized to map the given boundary and cost information to obtain an estimated equivalent operating cost function for the contact line, overcoming the inability of previous methods to capture nonlinear cost relationships. This provides the necessary cost information in a data-driven manner for the economic dispatch of hybrid AC-DC distribution networks. Numerical tests demonstrate the effectiveness of the method in improving coordination accuracy while preserving regional grid privacy. The key innovations are nonlinear modeling of the feasible domain of the contact line and nonlinear cost fitting for high-accuracy dispatch. |
| Audience | Academic |
| Author | Gao, Yang Goh, Hui Hwang Liu, Yuelin Zeng, Zhihong Jian, Jiangyi Dai, Wei |
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| Cites_doi | 10.1109/TPWRS.2021.3056096 10.1016/j.ijepes.2021.107764 10.1109/TPWRS.2019.2950906 10.1109/TIA.2021.3065895 10.1109/TPWRS.2020.3014906 10.1016/j.egyr.2022.01.175 10.1016/j.apenergy.2020.116387 10.1016/j.ijepes.2021.107617 10.1002/er.5128 10.1109/ACCESS.2020.2977921 10.1109/ACCESS.2020.3008570 10.1109/COMST.2023.3340099 10.1016/j.apenergy.2020.115640 10.1109/TPWRS.2004.831283 10.1109/TIA.2020.3029549 10.1016/j.enconman.2020.112766 10.3390/en16155593 10.1016/j.egyr.2021.09.091 10.1016/j.jclepro.2021.127196 10.1016/j.rser.2021.111687 10.1109/TSG.2020.3021829 10.1016/j.apenergy.2021.117448 10.3390/en13071703 10.1109/TPWRS.2023.3287199 10.35833/MPCE.2021.000685 10.1109/ACCESS.2020.3013231 10.1109/TPWRS.2020.3006153 10.1109/JPROC.2020.2982707 10.1016/j.aej.2022.01.025 |
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| SubjectTerms | Approximation Decomposition Energy trading fast characterization Genetic algorithms Methods Neural networks non-iterative coordinated scheduling optimal cost mapping Optimization Scheduling Systems stability tie line feasible region |
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| Title | A Non-Iterative Coordinated Scheduling Method for a AC-DC Hybrid Distribution Network Based on a Projection of the Feasible Region of Tie Line Transmission Power |
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