Abstract
As the intelligent analysis and calculation of information developing very fast, the algorithms for load model parameter identification are growing fast the same time, these algorithms were aimed at quick convergence, improving calculation accuracy and so on, making the identification for load model parameter being more and more fast and accurate. This paper provides an improved GA with adaptive ability to identify the parameter of comprehensive load modeling. Choosing TVA comprehensive load model as the computational model, and use the improved GA given by this paper to identify the parameter of the model. The computer simulation result shows that the improved GA proposed by this paper has improved the calculation effect, especially has palpable effects on accelerating convergence and shorten the time of identification.
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 callMore From: IOP Conference Series: Earth and Environmental Science
Disclaimer: 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.
