Algorithmic Development and Industrial Applications of Short-term Hydro Scheduling in the Nordic Power Market

被引：0

作者：

Skjelbred, Hans Ivar ^{[1
]}

Kong, Jiehong ^{[1
]}

Aasgard, Ellen Krohn ^{[1
]}

Belsnes, Michael Martin ^{[1
]}

Fosso, Olav Bjarte ^{[2
]}

机构：

[1] SINTEF Energy Res, Dept Energy Syst, Trondheim, Norway

[2] Norwegian Univ Sci & Technol, Dept Elect Power Engn, Trondheim, Norway

来源：

2022 IEEE PES 14TH ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE, APPEEC | 2022年

关键词：

Optimization; Mixed integer linear programming; Simulation; Short-term hydro scheduling; UNIT COMMITMENT; GENERATION;

D O I：

10.1109/APPEEC53445.2022.10072168

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper summarizes the algorithmic development and industrial applications of short-term hydro scheduling (STHS) in the Nordic power market. It focuses on the modeling techniques and solution methodologies applied to solve new challenges related to the large-scale integration of non-dispatchable renewable energy in the electric power system. Three optimization and simulation tools developed for STHS are presented. The tools are widely used in the Nordic hydropower industry and are part of business-critical daily scheduling, trading, and energy management operations.

引用

页数：6

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