Short term operation planning of hydro stations considered as price makers using the Matlab Linprog® function
Short term operation planning of hydro stations considered as price makers using the Matlab Linprog® function
- Author(s): M. Castro ; J. Tomé Saraiva ; J.C. Sousa
- DOI: 10.1049/cp.2016.1037
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016) — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): M. Castro ; J. Tomé Saraiva ; J.C. Sousa Source: Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016), 2016 page ()
- Conference: Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016)
- DOI: 10.1049/cp.2016.1037
- ISBN: 978-1-78561-406-4
- Location: Belgrade, Serbia
- Conference date: 6-9 Nov. 2016
- Format: PDF
The restructuring of power systems induced new challenges to generation companies in terms of adequately planning the operation of power stations in order to maximize their profits. In this scope, hydro resources are becoming extremely valuable given the revenues that their operation can generate. In this paper we describe the application of the Matlab® Linprog optimization function to solve the Short Term Hydro Scheduling Problem, HSP, admitting that some stations are installed in the same cascade and that some of them have pumping capabilities. The optimization module to solve the HSP problem is then integrated in an iterative process to take into account the impact that the operation decisions regarding the hydro stations under analysis have on the market prices. The updated market prices are then used to run again the HSP problem thus enabling considering the hydro stations as price makers. The developed approach is illustrated using a system based on the Portuguese Douro River cascade that includes 9 hydro stations (4 of them are pumping stations) and a total installed capacity of 1485 MW.
Inspec keywords: power generation scheduling; iterative methods; optimisation; power generation planning; hydroelectric generators; pumping plants
Subjects: Power system planning and layout; Hydroelectric power stations and plants; Power system management, operation and economics; Optimisation techniques; Interpolation and function approximation (numerical analysis)
Related content
content/conferences/10.1049/cp.2016.1037
pub_keyword,iet_inspecKeyword,pub_concept
6
6