Title :
Solving combined economic emission dispatch problem using time varying acceleration based PSO
Author :
Hamed, M. ; Mahdad, B. ; Srairi, K. ; Mancer, N.
Author_Institution :
Dept. of Electr. Eng., Biskra Univ., Biskra, Algeria
Abstract :
This paper presents a comparative study for multi-objective economic power dispatch considering emission using a new variant swarm optimization method, in the first stage the (EED) problem is solved without losses using a novel parameter automation strategy in which time varying acceleration coefficients (TVAC) are employed to efficiently control the local and global search, such a near global solution is achieved. When the optimal power generation vector has found the power flow based Newton-Raphson algorithm has been called to calculate the power transmission losses so the new optimal cost. The performance of this method has been compared and found to be superior compared to the results of classical (PSO) method in term of solution quality and convergence characteristic.
Keywords :
Newton-Raphson method; convergence of numerical methods; load flow; particle swarm optimisation; power generation control; power generation dispatch; power transmission control; EED problem; TVAC; combined economic emission dispatch problem; convergence characteristics; global search; local search; multiobjective economic power dispatch; new variant swarm optimization method; novel parameter automation strategy; optimal cost; optimal power generation vector; power flow-based Newton-Raphson algorithm; power transmission losses; solution quality characteristics; time varying acceleration coefficients; time varying acceleration-based PSO method; Convergence; Economics; Fuels; Optimization; Particle swarm optimization; Propagation losses; Standards; Economic Dispatch; Emission; Multi-objective; Particle Swarm Optimization (PSO); Time Varying Acceleration Coefficients PSO-TVAC;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4577-1830-4
DOI :
10.1109/EEEIC.2012.6221478