DocumentCode :
2708849
Title :
Automatic Generation Control of Power Using Genetic Algorithm
Author :
Joshi, G.K.
Author_Institution :
Electr. Eng. Dept., I.E.T., Alwar, India
fYear :
2010
fDate :
7-10 May 2010
Firstpage :
876
Lastpage :
880
Abstract :
The generation control is becoming increasingly important in view of increased load demand & reducing generating resources. The increasing load demands are posing serious threats to reliable operation of power systems. This is because the increasing load demand leads to lowering of turbine speed (Ns) & therefore reduction of frequency (f) of out put voltage of the generator. The healthy operation of generators feeding powers to various types of load is filled with challenges as the generating resources are coaping up to keep pace with increasing load demand. Under the situation a great care is needed in maintaining load under the size of generating capacities on the one hand and also maintaining healthy and undamaged operation of generators on the other hand. Working singularly or in parallel with other unit. The healthy and undamaged operation of generator needs the control of the following parameters: (a) Frequency to be maintained constant i.e. at 50 Hz (b) the tie line power to be maintained between specified limits and (c) the economic operation of the generators. If the above parameters are maintained with in desired limits the generation control is said to be most effective. Being inspired to know the strategies for obtaining above controls, the present work has considered a two area problem of generation and have developed a programmable logic, which gives the control strategies for automatic generation control.
Keywords :
electric generators; genetic algorithms; power generation control; power generation dispatch; power generation economics; programmable logic devices; automatic power generation control; economic operation; generators; genetic algorithm; load demands; power systems; programmable logic; Automatic generation control; Automatic logic units; Frequency; Genetic algorithms; Power generation; Power generation economics; Power system reliability; Programmable logic arrays; Turbines; Voltage; Economic load dispatch; Frequency control; Tie line power; automatic generation control; load Shedding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Research and Development, 2010 Second International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-4043-6
Type :
conf
DOI :
10.1109/ICCRD.2010.185
Filename :
5489455
Link To Document :
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