Time series production simulation based on second-order cone programming with cycle condition

Yuang Feng; Ruanming Huang; Xiaohui Wang; Fei Fei; Ning Chen; Huang Zhou; Xiaomeng Ai

doi:10.1117/12.3024414

13 May 2024 Time series production simulation based on second-order cone programming with cycle condition

Yuang Feng, Ruanming Huang, Xiaohui Wang, Fei Fei, Ning Chen, Huang Zhou, Xiaomeng Ai

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131599E (2024) https://doi.org/10.1117/12.3024414
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Time series production simulation is widely used in the transmission system, but the traditional model of time series production simulation is based on DC flow, which is not suitable for distribution networks with low voltage-level systems. Considering both computational efficiency and accuracy, the Second-Order Cone Programming (SOCP) has great potential to be introduced into the time series production simulation model. However, the Second-Order Cone (SOC) relaxation is not always accurate in mesh networks, which limits its scope of application. In this paper, we proposed a time series production simulation model based on SOCP with cycle condition, and we prove that when the mesh networks meet certain conditions, the SOC relaxation is accurate. The case study validates the method proposed in this paper.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuang Feng, Ruanming Huang, Xiaohui Wang, Fei Fei, Ning Chen, Huang Zhou, and Xiaomeng Ai "Time series production simulation based on second-order cone programming with cycle condition", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131599E (13 May 2024); https://doi.org/10.1117/12.3024414

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