Next Article in Journal
A Novel Photovoltaic Virtual Synchronous Generator Control Technology Without Energy Storage Systems
Previous Article in Journal
Predicting the Impact of Climate Change on Thermal Comfort in A Building Category: The Case of Linear-type Social Housing Stock in Southern Spain
Article Menu

Export Article

Open AccessArticle

Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets

Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610200, China
State Grid Sichuan Electric Power Research Institute, Chengdu 610072, China
Institute of Hydropower System and Hydroinformatics, Dalian University of Technology, Dalian 116024, China
Author to whom correspondence should be addressed.
Energies 2019, 12(12), 2239;
Received: 6 May 2019 / Revised: 30 May 2019 / Accepted: 2 June 2019 / Published: 12 June 2019
PDF [4026 KB, uploaded 12 June 2019]


The large-scale cascade hydropower plants in southwestern China now challenge a multi-market environment in the new round of electricity market reform. They not only have to supply the load for the local provincial market, but also need to deliver electricity to the central and eastern load centers in external markets, which makes the generation scheduling much more complicated, with a correlated uncertain market environment. Considering the uncertainty of prices and correlation between multiple markets, this paper has proposed a novel optimization model of long-term generation scheduling for cascade hydropower plants in multiple markets to seek for the maximization of overall benefits. The Copula function is introduced to describe the correlation of stochastic prices between multiple markets. The price scenarios that obey the Copula fitting function are then generated and further reduced by using a scenario reduction strategy that combines hierarchical clustering and inconsistent values. The proposed model is applied to perform the long-term generation scheduling for the Wu River cascade hydropower plants and achieves an increase of 106.93 million yuan of annual income compared with the conventional scheduling model, without considering price scenarios, showing better performance in effectiveness and robustness in multiple markets. View Full-Text
Keywords: hydropower scheduling; long term; price correlation; copula theory hydropower scheduling; long term; price correlation; copula theory

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Luo, B.; Miao, S.; Cheng, C.; Lei, Y.; Chen, G.; Gao, L. Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets. Energies 2019, 12, 2239.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top