Economic Dispatch Using an Enhanced Hopfield Neural Network

2008 ◽  
Vol 36 (7) ◽  
pp. 719-732 ◽  
Author(s):  
A. Y. Abdelaziz ◽  
S. F. Mekhamer ◽  
M. A. L. Badr ◽  
M. Z. Kamh
Keyword(s):  
Neural Network ◽  
Economic Dispatch ◽  
Hopfield Neural Network

scholarly journals Optimal Utilization of Hopfield Neural Network to Resolve Economic Load Dispatch Problem with Wind Penetration

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1608-1611
Keyword(s):  
Neural Network ◽  
Economic Dispatch ◽  
Hopfield Neural Network ◽  
Hopfield Network ◽  
Economic Load Dispatch ◽  
Primary Reason ◽  
Fuel Cost ◽  
Suggested Model ◽  
Minimum Price ◽  
Selection Of

Basic economic dispatch can be mathematically defined as minimization if the absolute cost of electricity for all plants which are susceptible to limitations. The ELD issue includes a number of distinct concerns. Economic load dispatching shall organize supplies to plants at a minimum price while complying with the limitations or requirements.Wind energy is the rapidly increasing renewable energy source due to its presence in existence and the development of its technology. In this paper, a neuron-based Hopfield neural network is suggested with some modifications to enhance its performance that can be utilized to fix the optimization issue and to resolve the economic dispatch issue by utilizing an energy function including mismatch power, average fuel cost and associated weights. The stabilization assessment of the suggested model is carried out in this paper. The primary reason for the utilization of the Hopfield network is to conduct an accurate selection of weights and features. The usefulness of the suggested network is assessed on economic load dispatch.

Sign in / Sign up

Export Citation Format

Share Document