Preprint Article Version 1 This version is not peer-reviewed

Medium-Term Hydropower Scheduling with Variable Head under Inflow, Energy and Reserve Capacity Price Uncertainty

Version 1 : Received: 11 November 2018 / Approved: 13 November 2018 / Online: 13 November 2018 (07:59:25 CET)

A peer-reviewed article of this Preprint also exists.

Hjelmeland, M.N.; Helseth, A.; Korpås, M. Medium-Term Hydropower Scheduling with Variable Head under Inflow, Energyand Reserve Capacity Price Uncertainty. Energies 2019, 12, 189. Hjelmeland, M.N.; Helseth, A.; Korpås, M. Medium-Term Hydropower Scheduling with Variable Head under Inflow, Energyand Reserve Capacity Price Uncertainty. Energies 2019, 12, 189.

Journal reference: Energies 2019, 12, 189
DOI: 10.3390/en12010189

Abstract

We propose a model for medium-term hydropower scheduling (MTHS) with variable head and uncertainty in inflow, reserve capacity, and energy price. With an increase of intermittent energy sources in the generation mix, it is expected that a flexible hydropower producer can obtain added profits by participating in other markets than just the energy market. To capture this added potential the hydropower system should be modeled with a higher level of details. In this context, we apply an algorithm based on stochastic dual dynamic programming (SDDP) to solve the nonconvex MTHS problem, and show that the use of Strengthened Benders (SB) cuts to represent the expected future profit (EFP) function provide accurate scheduling results for slightly nonconvex problems. A method to visualize the EFP function in a dynamic programming setting is provided, serving as a useful tool for a priori inspection of the EFP shape and its nonconvexity.

Subject Areas

hydropower scheduling; stochastic programming; integer programming

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