Title :
Particle swarm optimization for economic dispatch of units with non-smooth input-output characteristic functions
Author :
Lai, L.L. ; Nieh, T.Y. ; Vujatovic, D. ; Ma, Y.N. ; Lu, Y.P. ; Wang, Y.W. ; Braun, H.
Author_Institution :
Energy Syst. Group, City Univ., London
Abstract :
This paper proposes an application of particle swarm optimization (PSO) to solve economic dispatch (ED) of units with non-smooth input-output characteristic functions. The IEEE 30-bus system with 6 generating units has been used as the simulation system to show the effectiveness of the algorithm. Results are compared to those detail by evolutionary programming (EP). It shows the PSO can produce slightly better results than those from EP
Keywords :
evolutionary computation; particle swarm optimisation; power generation dispatch; power generation economics; power system simulation; IEEE 30-bus system; economic dispatch; evolutionary programming; input-output characteristic functions; optimal power flow; particle swarm optimization; Character generation; Constraint optimization; Genetic programming; Load flow; Particle swarm optimization; Power generation; Power generation economics; Turbines; Valves; Voltage;
Conference_Titel :
Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
1-59975-174-7
DOI :
10.1109/ISAP.2005.1599314
