Full-time sequence cost and benefit calculation model based on panoramic simulation technology of power grid

Dong Peng; Lang Zhao; Yawei Xue; Hongyang Liu; Tianqi Zhang

doi:10.1117/12.2626455

16 December 2021 Full-time sequence cost and benefit calculation model based on panoramic simulation technology of power grid

Dong Peng, Lang Zhao, Yawei Xue, Hongyang Liu, Tianqi Zhang

Author Affiliations +

Proceedings Volume 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021); 1215306 (2021) https://doi.org/10.1117/12.2626455
Event: International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 2021, Sanya, China

Abstract

The planning model often pursues the minimization of investment and operating costs, and does not consider the economic issues of the planning scheme under the full time sequence condition in the traditional power grid planning process. The key factors affecting the cost and benefit of the full time sequence of the power grid is analyzed, and the concept of full time sequence is integrated into the development plan of the power grid with the support of panoramic simulation technology. The full-time sequence cost and benefit calculation model is established on the basis of consideration of construction, operating, and reliability, combined with the impact of the planning scheme on the safety, reliability and operating conditions of the power grid. Finally, the optimal construction sequence of the power grid planning scheme is determined through the economic analysis of the planning scheme. An empirical analysis is carried out through a typical power grid, and the results show that the model and algorithm proposed in this paper are effective and feasible.

Citation Download Citation

Dong Peng, Lang Zhao, Yawei Xue, Hongyang Liu, and Tianqi Zhang "Full-time sequence cost and benefit calculation model based on panoramic simulation technology of power grid", Proc. SPIE 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 1215306 (16 December 2021); https://doi.org/10.1117/12.2626455

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