Abstract
Considering the large light no-load loss of the transformer on the power side and the potential of cost sharing on the user side, based on the distribution network line loss sharing, this paper establishes a multi-objective programming model for distribution network line loss sharing from the goal of minimum network loss and minimum carbon emission, and considering the factors such as transformer capacity, line loss cost and line loss rate. Finally, the annealing algorithm is used to solve the model, the penalty function analysis of the constraint conditions is carried out, and the convergent feasible optimization solution is obtained. The comparison of multiple schemes shows that the load rate of the transformer is between 60%–70%, and the line loss can be further planned according to the actual demand. The effectiveness of the model and the correctness of the conclusion are verified by simulation.
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Acknowledgements
This work was supported by loss reduction and carbon reduction consulting service of new power system light load transformer of Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd. (SGJSDK00XTJS2100354).
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Chen, Z., Cen, B., Zhu, D., Zhou, Q., Ling, Z., Yang, X. (2022). Line Loss Allocation of Distribution Network Capacity Based on Optimal Multi-objective Programming with Annealing Algorithm. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_9
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DOI: https://doi.org/10.1007/978-3-031-05484-6_9
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