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

Wei Dai (), Yang Gao, Hui Hwang Goh, Jiangyi Jian, Zhihong Zeng and Yuelin Liu
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Wei Dai: School of Electrical Engineering, Guangxi University, Nanning 530004, China
Yang Gao: School of Electrical Engineering, Guangxi University, Nanning 530004, China
Hui Hwang Goh: School of Electrical Engineering, Guangxi University, Nanning 530004, China
Jiangyi Jian: Zigong Power Supply Bureau, Sichuan Power Grid Co., Ltd., Zigong 643031, China
Zhihong Zeng: School of Electrical Engineering, Guangxi University, Nanning 530004, China
Yuelin Liu: School of Electrical Engineering, Guangxi University, Nanning 530004, China

Energies, 2024, vol. 17, issue 6, 1-20

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.

Keywords: tie line feasible region; fast characterization; optimal cost mapping; non-iterative coordinated scheduling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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