MATEC Web Conf.
Volume 246, 20182018 International Symposium on Water System Operations (ISWSO 2018)
|Number of page(s)||9|
|Section||Parallel Session I: Water Resources System|
|Published online||07 December 2018|
Study on Optimal Operation of Hydropower Station Group Based on New Electricity Reform and Deviation Assessment
1 State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
2 College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China
3 Business School, Sichuan University, Chengdu 610065, China
a Corresponding author: Shijun Chen, A535, College of Water Resource and Hydropower, Sichuan University, No. 24 Section 1 S. Yihuan Road, Chengdu 610065, Sichuan, China. E-mail: firstname.lastname@example.org.
The new electricity system reform has brought power generation companies into the market, and the scheduling target of cascade hydropower stations has been transformed from maximizing power generation to maximizing revenue. Market rules require hydropower generators to pay assessment fees for the power generation deviation. Therefore, in order to obtain the desired revenue, power generators should not only obtain more power generation indicators and higher power prices, but also control the power generation deviation and avoid being assessed. In response to the current market environment, the new requirements of the new electricity system reform for hydropower scheduling were analyzed. And based on regional market rules, a scheduling model for cascade hydropower stations with the goal of minimizing generation deviation was established, taking the example of eight cascade hydropower stations in the downstream of Dadu River in Sichuan province as an example, the effectiveness and applicability of the model were verified. The results show that the deviation in each period can be controlled within 1% and meet the basic requirements of market rules.
© The Authors, published by EDP Sciences, 2018
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.
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