Title :
Study on energy saving generation dispatch based on improved PSO algorithm
Author :
Xian Guo ; Haozhong Cheng ; Liangzhong Yao ; Bazargan, Masoud ; Zeliang Ma
Author_Institution :
Dept. of Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Based on principle of energy saving generation dispatch(ESGD), both models considering emission trading and generation rights trading are built. To solve the model and increase global optimization search ability, improved PSO is proposed, with adaptively adjustment in inertial factor and particle correction strategy. Shanghai grid and East China grid are adopted as study case respectively. By programming in C++, generation schedule of coal-fired generators in 24-hour-period is achieved. Finally, the programming results verify feasibility of ESGD models and convergence of algorithm.
Keywords :
C++ language; coal; particle swarm optimisation; power engineering computing; power generation dispatch; power grids; C++ programming; East China grid; Shanghai grid; coal-fired generators; emission trading; energy saving generation dispatch; generation rights trading; global optimization search ability; improved PSO algorithm; inertial factor; particle correction strategy; time 24 hour; ESGD; emission trading; generation rights trading; improved PSO algorithm;
Conference_Titel :
Sustainable Power Generation and Supply (SUPERGEN 2012), International Conference on
Conference_Location :
Hangzhou
Electronic_ISBN :
978-1-84919-673-4
DOI :
10.1049/cp.2012.1812