DocumentCode :
2835618
Title :
On-line Solution to Combined Economic and Emission Dispatch Problem
Author :
Chaturvedi, Krishna Teerth ; Pandit, Manjaree ; Srivastava, Laxmi
Author_Institution :
Madhav Inst. of Technol. & Sci., Gwalior
fYear :
2006
fDate :
15-17 Dec. 2006
Firstpage :
1553
Lastpage :
1558
Abstract :
Due to the strict government regulations on environmental protection, the conventional criteria of operation of generating units at minimum cost is not sufficient for deciding the dispatch strategy. It is necessary to consider environmental issues in the problem definition. Conventional optimization techniques do not work well with such complex bi-objective optimization tasks with conflicting goals and are not suitable for on-line use due to increased computational burden. This paper proposes a Levenberg Marquardt neural network (LMNN) for the combined economic load dispatch problem. Test results of system with 3 generating units are given to illustrate the effectiveness of the proposed method.
Keywords :
electricity supply industry; environmental factors; load dispatching; neural nets; power engineering computing; Levenberg Marquardt neural network; combined economic load dispatch problem; combined economic-emission dispatch problem; complex bi-objective optimization tasks; environmental issues; environmental protection; government regulations; online solution; optimization techniques; Artificial neural networks; Cost function; Environmental economics; Fuel economy; Government; Neural networks; Neurons; Power generation economics; Power system economics; Protection; Combined economic dispatch; Economic load dispatch; Lambda iteration method; Levenberg Marquardt algorithm; Multi Layer Perceptron (MLP) networks; Radial Basis Function Network (RBFN);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 2006. ICIT 2006. IEEE International Conference on
Conference_Location :
Mumbai
Print_ISBN :
1-4244-0726-5
Electronic_ISBN :
1-4244-0726-5
Type :
conf
DOI :
10.1109/ICIT.2006.372451
Filename :
4237773
Link To Document :
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