A method and system for predicting peak-shaving capability of power generation side

Abstract

The present invention relates to a method and system for predicting the peak-shaving capability of the power generation side. By estimating the peak-shaving resources of the power generation side for a period of time in the future, the peak-shaving resources can be fully tapped and utilized, and the peak-shaving resources can be optimally allocated to guide future power grid planning. And provide data support and implementation suggestions to relevant departments. Through the technical solution provided by the present invention, it is possible to realize the prediction and analysis of the peak-shaving capability of the power generation side in the planning and dispatching operation of the power grid, improve the superiority of the peak-shaving optimization configuration scheme of the power grid, and meet the peak-shaving requirements in different power grid peak-shaving scenarios demand, and provide new theoretical support for peak shaving technology.

Description

technical field [0001] The invention relates to the fields of power system scheduling operation and promotion of new energy consumption, in particular to a method and system for predicting peak-shaving capability of a power generation side. Background technique [0002] In recent years, with the development and construction of the power grid, the installed capacity of new energy sources such as photovoltaics and wind power has continued to increase, while the proportion of thermal power units has continued to decline, and the power structure of the power grid has undergone major changes. As an important peak-shaving power source, thermal power units will pose new challenges to the stability and safety of the power system as their proportion declines. Therefore, the prediction of the peak-shaving capability of the power generation side will be of great significance to the planning, design and dispatching operation of the power grid. [0003] At present, there are few predict...

AI Technical Summary

Problems solved by technology

For example, in Ningxia area, when wind power and photovoltaic power generation are booming, due to the small local load, the peak-shaving capacity of the power grid is very tight. Only the basic peak-shaving capacity of the thermal power unit on the power generation side cannot satisfy the stable operation of the power grid, which will be very serious. The earth influences the working state of the thermal power unit and the economy of operation

At the same time, even if some units are used to participate in deep peak shaving, the lack of support for future peak shaving capacity prediction data will greatly increase the difficulty of future planning and operation of the power grid.

In addition, the large amount of data scenarios in the space and time dimensions of the power grid makes the data more redundant and complex

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