Research on optimization model of power grid project investment decision considering transmission and distribution price

Zhu Jian; Hu Sile

doi:10.1117/12.3005320

25 September 2023 Research on optimization model of power grid project investment decision considering transmission and distribution price

Zhu Jian, Hu Sile

Author Affiliations +

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127885R (2023) https://doi.org/10.1117/12.3005320
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Aiming at the problem that current power grid project investment model is difficult to consider both transmission and distribution price and construction time sequence, an investment optimization decision-making method of power grid project at different stages under the background of transmission and distribution price reform is proposed. Firstly, the influence of transmission and distribution price reform on the income and cost of power grid investment is analyzed, and a power grid project investment optimization decision-making model under the background of transmission and distribution price reform is proposed. With the goal of maximizing the investment return of the whole life cycle project and the constraints of power balance, sequence relationship and investment ability of each stage, the optimal investment decision scheme of the power grid project was solved, and the validity of the investment model was verified by the example of IEEE30 nodes.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhu Jian and Hu Sile "Research on optimization model of power grid project investment decision considering transmission and distribution price", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127885R (25 September 2023); https://doi.org/10.1117/12.3005320

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