Multi-timescale optimization method for virtual power plant based on  SOCR-ACOPF

Yu Ji; Ying Zhang; Lei Chen; Chongyou Xu; Juan Zuo; Wenbo Wang; Chongxin Xu; Jianan Zhu

doi:10.1117/12.3034372

16 October 2024 Multi-timescale optimization method for virtual power plant based on SOCR-ACOPF

Yu Ji, Ying Zhang, Lei Chen, Chongyou Xu, Juan Zuo, Wenbo Wang, Chongxin Xu, Jianan Zhu

Proceedings Volume 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024); 132912C (2024) https://doi.org/10.1117/12.3034372
Event: Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 2024, Changchun, China

Abstract

The rapid development of renewable energy and the widespread adoption of electric vehicles (EVs) have brought new opportunities and challenges to the power system. This paper proposes a multi-timescale optimization method for virtual power plants involving various distributed resources such as electric vehicles, renewable energy, and energy storage systems. The method is based on the Second-order Cone Relaxation Alternating Current Optimal Power Flow Model (SOCR-ACOPF). By considering the coordination and cooperation among various components on both daily and intra-day timescales, energy optimization and management for virtual power plants are achieved. The application of second-order cone relaxation techniques to solve mixed-integer nonlinear programming problems effectively enhances the efficiency of optimization solutions. Finally, the proposed model's effectiveness and practicality are demonstrated through simulation experiments conducted on an IEEE 33-node distribution system.

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

Citation Download Citation

Yu Ji, Ying Zhang, Lei Chen, Chongyou Xu, Juan Zuo, Wenbo Wang, Chongxin Xu, and Jianan Zhu "Multi-timescale optimization method for virtual power plant based on SOCR-ACOPF", Proc. SPIE 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 132912C (16 October 2024); https://doi.org/10.1117/12.3034372

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