Method and device for modeling a long-time-scale photovoltaic output time sequence

US10290066B2 · kind B2 · utility

Assignees

• China Electric Power Research Institute Company Li · CN
• State Grid Corporation of China · CN
• CLP Puri Zhangbei Wind Power Research & Testing Co · CN

Inventors

• Weisheng Wang · Nanhu, CN
• Chun Yu Liu · Shizhe, CN
• Chi Li · Tangxia, CN
• Yuehui Huang · Beijing, CN
• Yuefeng Wang · Beijing, CN
• Cun Dong · Beijing, CN
• Nan Zhang · San Diego, US
• Xiaofei Li · Beijing, CN
• Yunfeng Gao · Nanhu, CN
• Xiaoyan Xu · Jingu, CN
• Yanping Xu · Ottawa, CA
• Xiaofeng Pan · Hangzhou City, CN

Key dates

• Filing date: Apr 25, 2018
• Grant date: May 14, 2019
• Expiry date: Apr 25, 2038

Classification

• Technology area (CPC F): Mechanical Engineering; Lighting; Heating
• CPC primary: F24S2201/00
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A method and device for modeling a long-time-scale photovoltaic output time sequence are provided. The method includes that: historical data of a photovoltaic power station is acquired, and a photovoltaic output with a time length of one year and a time resolution of 15 mins is selected (101); weather types of days corresponding to the photovoltaic output are acquired from a weather station (102), and probabilities of transfer between each type of weather are calculated respectively (103); and a simulated time sequence of the photovoltaic output within a preset time scale is generated (104), and its validity is verified (105). By the method, annual and monthly photovoltaic output simulated time sequences consistent with a random fluctuation rule of a photovoltaic time sequence may be acquired according to different requirements to provide a favorable condition and a data support for analog simulation of time sequence production including massive new energy.