Abstract
This paper presents a new approach based on a neural network and heuristic model for voltage-reactive power control. The idea is to combine the learning and parallel-processing characteristics of a neural network as well as the fuzzy reasoning of a heuristic model to simplify the problem and improve the efficiency of calculation. The control variables are determined using a neural network type knowledge base and the quantities of the control actions are calculated with the heuristic model. The modified IEEE 30-bus test system is used to demonstrate the application of the proposed approach.
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.
