Title :
A genetic algorithm solution approach to the hydrothermal coordination problem
Author :
Zoumas, Christoforos E. ; Bakirtzis, Anastasios G. ; Theocharis, John B. ; Petridis, Vasilios
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotle Univ. Thessaloniki, Greece
Abstract :
In this paper, a genetic algorithm solution to the hydrothermal coordination problem is presented. The generation scheduling of the hydro production system is formulated as a mixed-integer, nonlinear optimization problem and solved with an enhanced genetic algorithm featuring a set of problem-specific genetic operators. The thermal subproblem is solved by means of a priority list method, incorporating the majority of thermal unit constraints. The results of the application of the proposed solution approach to the operation scheduling of the Greek Power System, comprising 13 hydroplants and 28 thermal units, demonstrate the effectiveness of the proposed algorithm.
Keywords :
genetic algorithms; hydrothermal power systems; integer programming; nonlinear programming; power generation scheduling; generation scheduling; genetic algorithm; hydro production system; hydrothermal coordination problem; mixed-integer optimization; nonlinear optimization; operation scheduling; priority list method; Cost function; Demand forecasting; Genetic algorithms; Load forecasting; Power systems; Production systems; Reservoirs; Scheduling algorithm; Spinning; Water resources; Genetic algorithms; hydrothermal coordination; short-term generation scheduling;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2004.825896
