| Issue |
E3S Web Conf.
Volume 256, 2021
2021 International Conference on Power System and Energy Internet (PoSEI2021)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 5 | |
| Section | Smart Grid Technology and Power System Regulation Modeling | |
| DOI | https://doi.org/10.1051/e3sconf/202125601004 | |
| Published online | 10 May 2021 | |
Design and Optimal Clearing Model of Inter-Regional and Inter-Provincial Power Trading Mechanism Considering Network Constraints
1 NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, Jiangsu, 211000, China
2 Beijing Kedong Power Control System Co., Ltd., Beijing, Beijing, 100192, China
* Corresponding author’s e-mail: tanhao1@sgepri.sgcc.com.cn
The current inter-regional and inter-provincial power trading is organized by transaction path, and the buyers and sellers are the two regions or provinces through the transaction path, and the bidding range is small, which cannot optimize the allocation of resources in inter-provincial power trading, and it is difficult to break the provincial and regional barriers, therefore, this paper proposes the inter-regional and inter-provincial power market Therefore, this paper proposes an optimal clearing model for inter-regional and inter-provincial power market, which can expand the scope and scale of trading, realize sufficient market competition, give full play to the role of inter-regional and inter-provincial power trading, and realize the optimal allocation of energy resources in a larger scale, taking into account the network constraints.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.