Invention Grant
- Patent Title: Induced Markov chain for wind farm generation forecasting
-
Application No.: US16555490Application Date: 2019-08-29
-
Publication No.: US10796252B2Publication Date: 2020-10-06
- Inventor: Trevor N. Werho , Junshan Zhang , Vijay Vittal
- Applicant: Trevor N. Werho , Junshan Zhang , Vijay Vittal
- Applicant Address: US AZ Scottsdale
- Assignee: Arizona Board of Regents on behalf of Arizona State University
- Current Assignee: Arizona Board of Regents on behalf of Arizona State University
- Current Assignee Address: US AZ Scottsdale
- Agency: Snell & Wilmer L.L.P.
- Main IPC: G06Q10/04
- IPC: G06Q10/04 ; G06Q50/06 ; G06N7/00 ; G06Q30/02 ; G01W1/10 ; H02J3/38

Abstract:
Systems and methods for forecasting power generation in a wind farm are disclosed. The systems and methods utilize an induced Markov chain model to generate a forecast of power generation of the wind farm. The forecast is at least one of a point forecast or a distributional forecast. Additionally, the systems and methods modify at least one of: (i) a generation of electricity at a power plant coupled to a common power grid as the wind farm; or (ii) a distribution of electricity in the common power grid based on the forecast of power generation of the wind farm. In an exemplary approach, utilizing the induced Markov chain model to generate the forecast may include determining a series of time adjacent power output measurements based on historical wind power measurements and calculating a time series of difference values based on the series of time adjacent power output measurements.
Public/Granted literature
- US20200082305A1 INDUCED MARKOV CHAIN FOR WIND FARM GENERATION FORECASTING Public/Granted day:2020-03-12
Information query