Abstract
The economic dispatch of power generating units have always occupied an important position in the electric power industry. This paper presents a Hopfield neural network model based method to solve economic dispatch of power systems. To solve the economic dispatch problem using Hopfield model, an energy function comprising power mismatch, total fuel cost and the transmission line losses along with their associated weighting factors is defined. One of the important considerations in applying Hopfield framework to economic dispatch of power systems is the proper selection of weighting factors. This paper presents a systematic approach to select these weighting factors. The method has been applied to three sample power systems and the results obtained are promising.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
