Open AccessResearch on Data Application Framework and Key Technologies of Intelligent Regulation and Control of Wind Power New Energy Based on Computer
Author(s) -
Feng Zhang,
Jia Yun-hui
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/2/022059
Subject(s) - wind power , smart grid , grid , power (physics) , computer science , control (management) , base load power plant , electric power system , power optimizer , set (abstract data type) , function (biology) , reliability engineering , renewable energy , electrical engineering , automotive engineering , distributed generation , engineering , maximum power point tracking , mathematics , physics , geometry , quantum mechanics , artificial intelligence , inverter , voltage , evolutionary biology , biology , programming language
At present, large-scale wind power with random, intermittent or even anti-peaking characteristics is connected to the grid, but domestic wind farms cannot provide effective wind power output forecasts and wind turbines and wind farms do not have online control., Adjustment function. The output of power sources other than wind power in the grid must not only be adjusted with load changes, but also must be adjusted to adapt to changes in wind power output. As the installed capacity of wind power increases, the impact of wind power output fluctuations on the grid is also increasing. At present, there is no clear definition and standard calculation method recognized by authoritative authorities regarding the ability of the grid to intelligently regulate wind power. In view of this, it is urgent to study a set of standard grid smart regulation wind power capacity evaluation system based on computer, which is analyzed and discussed in this paper.