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An overview on formulations and optimization methods for the unit-based short-term hydro scheduling problem.

Authors :
Kong, Jiehong
Skjelbred, Hans Ivar
Fosso, Olav Bjarte
Source :
Electric Power Systems Research. Jan2020, Vol. 178, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• Formulate the short-term hydro scheduling (STHS) problem on individual hydro units. • Review mathematical programming approaches to solve the unit-based STHS problem. • Categorize the various choices for modeling objectives and constraints in detail. • Provide a comprehensive comparison for each specific issue in formulation of STHS. The short-term hydro scheduling (STHS) problem aims at determining the optimal power generation schedules for either a single hydropower plant or an integrated system of cascaded watercourses during a time horizon from a single day to one week. Traditionally, an aggregated plant concept is usually adopted in the formulation of the STHS problem. The hydro-turbine generator units in a plant are aggregated as one equivalent unit. Nowadays, more and more hydro producers participate in both energy and capacity markets. It highlights the need for the precise calculation for energy conversion and available capacity of each unit. Formulating the STHS problem on individual units can accurately capture the physical and the operational characteristics of the unit. In this overview, a detailed classification of mathematical programming approaches to model and solve the unit-based STHS problem is presented. The various modeling techniques proposed in the publications since 2000 are categorized by their objectives and constraints. This provides a comprehensive comparison and discussion for each specific issue in the formulation of STHS. We anticipate this overview to be a starting point for finding more computationally solvable and effective methods to handle the challenges in the unit-based STHS problem. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03787796
Volume :
178
Database :
Academic Search Index
Journal :
Electric Power Systems Research
Publication Type :
Academic Journal
Accession number :
141489969
Full Text :
https://doi.org/10.1016/j.epsr.2019.106027