Linear Decision Rules for Seasonal Hydropower Planning: Modelling Considerations

5Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.

Abstract

The seasonal hydropower planning problem is presented as a robust optimization model using linear decision rules (LDR). Uncertainty is present in multiple inflow series and the price of electricity. The objective is to generate weekly policies that maximize profit. The LDR approximation is effective at reducing computational complexity, and is well-suited to multistage problems. By restricting the decision variables to be affine reactions of the realizations of the uncertain parameters, the original intractable problem is transformed into a tractable one with shorter computational time. This article is intended as an introduction to LDR for practitioners within the hydropower industry. The basic results will be presented, along with explanations of the ideas behind the method. An example case is given to illustrate the solution method.

Cite

CITATION STYLE

APA

Braaten, S. V., Gjønnes, O., Hjertvik, K., & Fleten, S. E. (2016). Linear Decision Rules for Seasonal Hydropower Planning: Modelling Considerations. In Energy Procedia (Vol. 87, pp. 28–35). Elsevier Ltd. https://doi.org/10.1016/j.egypro.2015.12.354

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free