Optimized operating rules for short-term hydropower planning in a stochastic environment

Alexia Marchand (), Michel Gendreau, Marko Blais and Jonathan Guidi
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Alexia Marchand: Polytechnique Montréal
Michel Gendreau: Polytechnique Montréal
Marko Blais: Hydro-Québec
Jonathan Guidi: Hydro-Québec

Computational Management Science, 2019, vol. 16, issue 3, No 6, 519 pages

Abstract: Abstract To operate a large-scale hydropower production system in an ever-changing environment, operating rules are a convenient way of communication between short-term planners and real-time dispatchers. This articles presents a new form of operating rules, and a solution approach to solve the short-term planning problem directly in the space of rules. Our operating rules are designed to handle complex hydro-valleys and highly constrained reservoirs. Our solution approach is based on tabu search and easily implemented. Uncertainty on inflows and electrical load is represented in the mathematical model via a 2-stage scenario tree. Numerical experiments on real instances from Hydro-Québec show that our approach is able to find good stochastic solutions while respecting the operational timing, and it improves the objective value by up to 54% in instances with moderate to high inflows.

Keywords: Hydropower planning; Operating rules; Stochastic optimization; Tabu search (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10287-019-00348-2

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