DocumentCode
2313975
Title
Environmental/economic/reliability power dispatch based on RS and IPSO approach
Author
Li, Jinchao ; Li, Jinying
Author_Institution
Econ. & Manage. Sch., North China Electr. Power Univ., Beijing, China
Volume
8
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
3948
Lastpage
3952
Abstract
The environmental/economic/reliability dispatch (EERD) problems considering both economic and environmental are solved by the rough sets (RS) and improved particle swarm optimization (IPSO) method. For the EERD problems treats economic, emission and reliability impact as competing objectives. There are lots of indexes used for the evaluation of electric power generation units. Firstly, the RS method is used to the indexes reduction and the formation of the objective function. Then the IPSO method is used to calculate the output of the electric power generation units. At last, the feasibility of the proposed method is demonstrated from 8 unit systems, and the test results are compared with those obtained by Simulate Anneal (SA) and Genetic Algorithm (GA) in terms of solution quality and convergence properties. The simulation results show that the proposed method is capable of obtaining higher quality solutions.
Keywords
genetic algorithms; load dispatching; particle swarm optimisation; power system reliability; rough set theory; simulated annealing; EERD; environmental-economic-reliability dispatch; genetic algorithms; improved particle swarm optimization; objective function; power dispatch; rough sets; simulated annealing; Economics; Indexes; Particle swarm optimization; Power generation; Power systems; Reliability; Set theory; environmental/economic/reliability power dispatching; improved particle swarm optimization; rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5584781
Filename
5584781
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