Optimal distribution network configuration considering wind-solar complementarity and power quality
- DOI
- 10.2991/978-94-6463-415-0_32How to use a DOI?
- Keywords
- The complementarity of wind-solar; Power quality factor; Two-layer optimal configuration
- Abstract
With the proposal of the “dual carbon” goal in China, the randomness and fluctuation of the output of new energy units pose a severe challenge to the power quality of the distribution network. On the basis of considering the complementarity of wind and solar, this paper proposes a double layer optimization configuration model of wind and solar storage in the distribution network, which takes into account the influence of power quality. The power quality index is selected and the evaluation method of combining subjective and objective weight is adopted to obtain the comprehensive evaluation system of power quality PQ factor. The IEEE-33 node system is used to verify the above model. The results show that considering the correlation of wind and solar can guide the improvement of power quality of new energy grid-connected points, reduce the planning and construction cost and the economic loss caused by abandoning wind and light, further improve the economy of the overall system.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wei Han AU - Yanbing Jia PY - 2024 DA - 2024/05/14 TI - Optimal distribution network configuration considering wind-solar complementarity and power quality BT - Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023) PB - Atlantis Press SP - 307 EP - 312 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-415-0_32 DO - 10.2991/978-94-6463-415-0_32 ID - Han2024 ER -