Ye Xiaohui, Liu Tao, Song Xinli, Zhong Wuzhi, Wu Guoyang, Q. Linan, Sun Zhida, Hu Yongning
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引用次数: 1
Abstract
As the large-scale integration of photovoltaic(PV) power station, a higher requirement is put forward by power grid analysis on the accuracy of PV station model. The PV station applies different strategies with/without scheduling instructions, or under normal/failure condition, so it has different characteristics in multi-time scale. In order to study its dynamic characteristics, an active power control model of PV power station suitable for full dynamic simulation was proposed, which could simulate the active power fluctuations of PV power station using light intensity/temperature and schedule command curves, by building station AGC control model and inverter control model. The proposed model was realized in PSD-FDS program and verified using measured data from Ningxia grid. The simulation results show that the proposed PV power station model could provide effective tool for analyzing the PV power station's dynamic characteristic.
期刊介绍:
"Power System Technology" (monthly) was founded in 1957. It is a comprehensive academic journal in the field of energy and power, supervised and sponsored by the State Grid Corporation of China. It is published by the Power System Technology Magazine Co., Ltd. of the China Electric Power Research Institute. It is publicly distributed at home and abroad and is included in 12 famous domestic and foreign literature databases such as the Engineering Index (EI) and the National Chinese Core Journals.
The purpose of "Power System Technology" is to serve the national innovation-driven development strategy, promote scientific and technological progress in my country's energy and power fields, and promote the application of new technologies and new products. "Power System Technology" has adhered to the publishing characteristics of combining "theoretical innovation with applied practice" for many years, and the scope of manuscript selection covers the fields of power generation, transmission, distribution, and electricity consumption.