Abstract | ||
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This paper addresses an integral sliding mode control approach for automatic generation control (AGC) of a single area power system. Genetic algorithm (GA) is employed to search the parameters of the sliding surface. The proposed design is investigated for AGC of a single area power system, made up of reheated thermal and gas power generations. Compared with the GA-based proportion-integral (PI) control, simulation results show the feasibility of the presented method. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-13498-2_34 | ICSI |
Keywords | Field | DocType |
mode control approach,single area power system,genetic algorithm,automatic generation control,simulation result,gas power generation,ga-based proportion-integral,proposed design,power system,power generation,sliding mode control | Integral sliding mode,Thermal,Control theory,Computer science,State-space representation,Electric power system,Single area,Genetic algorithm,Automatic Generation Control | Conference |
Volume | ISSN | ISBN |
6146 | 0302-9743 | 3-642-13497-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dianwei Qian | 1 | 36 | 8.30 |
Xiang-Jie Liu | 2 | 136 | 18.64 |
Miaomiao Ma | 3 | 12 | 2.07 |
Chang Xu | 4 | 5 | 1.39 |