Algorithmization in the Task of Optimization of Cascade Hydro Power Plants

POWERTECH 2017: Conference Proceedings 2017
Georgi Georgiev, Dmitriy Kim, Inga Zicmane, Anatolijs Mahņitko, Sergejs Kovaļenko

Our work focuses on the problem of optimizing a cascade of three small hydro power plants. The optimization is based on deciding how much electricity to produce dependent on the day-ahead hourly electricity prices. The problem is reduced to controlling the water volumes in the cascade’s reservoirs. We examine two approaches – linear programming based on Matlab’s Simplex method (the Linprog function) and a Dynamic programming method. Linear programming is used for the limiting case when electricity prices exhibit daily cyclicality and Dynamic programming works for a finite time period. Two numerical examples are considered.

Keywords
cascaded hydro power plants, short term hydro scheduling, optimal scheduling, optimal management, simplex method, dynamic programming
DOI
10.1109/PTC.2017.7980989
Hyperlink
http://ieeexplore.ieee.org/document/7980989/

Georgiev, G., Kim, D., Zicmane, I., Mahņitko, A., Kovaļenko, S. Algorithmization in the Task of Optimization of Cascade Hydro Power Plants. In: POWERTECH 2017: Conference Proceedings, United Kingdom, Manchester, 18-22 June, 2017. Piscataway: IEEE, 2017, pp.1-6. ISBN 978-1-5090-4238-8. e-ISBN 978-1-5090-4237-1. Available from: doi:10.1109/PTC.2017.7980989

Publication language
English (en)