Abstract
Load tracking and output forecast error are less researched in wind and photovoltaic (PV) systems synthetic of output coupling power in present time. This paper using the technology of data mining of according to the wind and PV output characteristics with different scenario data partitioning method to the Wind and PV resource rich region of the actual wind power and PV output data divides the scene under the typical scenario data of division of Wind and PV complementary output coupling characteristics are analyzed and studied the mechanism of synthesis of output tracking system load characteristics and improve the output prediction error problem. Studies have shown that Wind and PV complementary synthetic efforts to a certain extent, reduced the coupling characteristics of output volatility, the system load tracking degree reached 14.1%.
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.
