Title :
Levenberg Marquardt algorithm based economic load dispatch
Author :
Chaturvedi, Krishna Teerth ; Srivastava, Laxmi ; Pandit, Manjaree
Author_Institution :
Dept. of Electr. Eng., MITS, Gwalior
Abstract :
This paper presents Levenberg Marquardt algorithm based multi-layer feed-forward neural network for economic load dispatch, which is trained to provide the optimal value of lambda and economic generation allocation on all the committed generating units for a given power demand. Since the training of the ANN is extremely fast, it may be used for on-line implementation at energy control centre. Test results of two sample systems with 3 generating units and 6 generating units are given to illustrate the effectiveness of the proposed method
Keywords :
feedforward neural nets; iterative methods; learning (artificial intelligence); multilayer perceptrons; power engineering computing; power generation dispatch; power generation economics; ANN training; Levenberg Marquardt algorithm; economic generation allocation; economic load dispatch; energy control centre; generating unit; lambda iteration method; multi layer perceptron network; multi-layer feed-forward neural network; power demand; Artificial neural networks; Feedforward neural networks; Feedforward systems; Multi-layer neural network; Neural networks; Power demand; Power generation; Power generation economics; Power system economics; System testing;
Conference_Titel :
Power India Conference, 2006 IEEE
Conference_Location :
New Delhi
Print_ISBN :
0-7803-9525-5
DOI :
10.1109/POWERI.2006.1632615
