Title :
Dynamic economic dispatch in restructured power systems considering transmission costs using genetic algorithm
Author :
Hosseini, S.H. ; Kheradmandi, M.
Author_Institution :
Sharif Univ. of Technol., Tehran, Iran
Abstract :
Over the past decade, the power industry in many countries around the world has been undergoing massive changes to introduce competition. In power systems under transmission open access, an optimal schedule of generation of units to satisfy the demand at the minimum production and transmission costs with consideration of system operation constraints is an important issue. In this paper, a method for centralized economic dispatch in deregulated power systems is presented. The considered constraints are minimum and maximum power generation of units, capacity of transmission lines and ramp rate limits. A genetic algorithm is used to solve a nonlinear objective function. Simulations are performed on an IEEE 30-bus test system and the results are analyzed and commented.
Keywords :
electricity supply industry deregulation; genetic algorithms; power generation economics; power generation scheduling; power system analysis computing; IEEE 30-bus test system; competition; demand; deregulated power systems; dynamic economic dispatch; genetic algorithm; maximum power generation; minimum power generation; nonlinear objective function; optimal schedule; power industry; production costs; ramp rate limits; restructured power systems; transmission costs; transmission line capacity; unit generation; Costs; Genetic algorithms; Optimal scheduling; Power generation; Power generation economics; Power industry; Power system dynamics; Power system economics; Power system simulation; Power systems;
Conference_Titel :
Electrical and Computer Engineering, 2004. Canadian Conference on
Print_ISBN :
0-7803-8253-6
DOI :
10.1109/CCECE.2004.1349721
