Multi-source-load complementary planning considering of new energy consumption cost

Hai Yu; Lidong Guo; Yi Peng; Tianchen Gu; Fan Wang

doi:10.1117/12.3024582

13 May 2024 Multi-source-load complementary planning considering of new energy consumption cost

Hai Yu, Lidong Guo, Yi Peng, Tianchen Gu, Fan Wang

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315930 (2024) https://doi.org/10.1117/12.3024582
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

This paper presents a bi-level collaborative optimization model for multi-source load complementarity based on the coupling characteristics of various source-load equipment. The upper layer conducts global optimization with the objective of minimizing the annual net present value cost to determine the optimal planning scheme and capacity of the multi-source load complementarity system. The lower layer builds the optimal operation model of the multi-source load complementarity system with the objective of minimizing the cost of new energy consumption. The case study shows that the proposed planning model can increase the proportion of wind and solar power in the system and reduce the construction costs, demonstrating the effectiveness of our model and method.

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

Citation Download Citation

Hai Yu, Lidong Guo, Yi Peng, Tianchen Gu, and Fan Wang "Multi-source-load complementary planning considering of new energy consumption cost", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315930 (13 May 2024); https://doi.org/10.1117/12.3024582

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