Method for short-term generation scheduling of cascade hydropower plants coupling cluster analysis and decision tree

US10825113B2 · kind B2 · utility

Assignee

• Dalian University of Technology · CN

Inventors

• Jianjian SHEN · 东风镇, CN
• Chuntian CHENG · 东风镇, CN
• Nannan ZHANG · Wuxi, CN
• Congtong Zhang · 东风镇, CN

Key dates

• Filing date: Mar 16, 2018
• Grant date: Nov 3, 2020
• Expiry date: Mar 16, 2038

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y04S10/50
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

The invention relates to the field of hydropower scheduling, and relates to a method for short-term generation scheduling of cascade hydropower plants coupling cluster analysis and decision tree. Linear regression technique is adopted to determine a matching relationship of energy production between upstream and downstream hydropower plants. With the relationship, typical generation curves of each hydropower plant can be clustered from lots of historical data. These typical generation curves and impact factors of generation scheduling such as planned daily electricity, reservoir level, and power grid characteristics, are together trained to obtain decision-making library for generation scheduling of cascaded hydropower plants. Thus, the decision tree method can be used to rapidly determine an operational scheme for generation scheduling of cascaded hydropower plants. Finally, a correction strategy for operation constraints is introduced to ensure feasibility of the operation scheme. The invention can quickly obtain generation schedules of cascade hydropower plants.