Load forecasting system and method based on attribute association in energy Internet environment

Abstract

The invention provides an attribute association based load prediction system in the energy Internet environment. The system is characterized by comprising a data collection and a database management module, an electric quantity supply and demand balance real-time monitoring module, a data analysis and processing module, a data storage module and an electric quantity query module. The invention also provides an attribute association based load prediction method in the energy Internet environment, and the method includes an excavation algorithm for short-term load prediction on the basis of a graph theory. The system takes attributes influencing the load into consideration, and power utilization rules of users can be mastered in a more complete manner. The prediction method mainly aims at association factors related to load change, influential factors and chain reaction links of high association degree are found, power utilization behaviors of users and power utilization association modes of user groups are excavated, and a new solution ideal is provided for real-time load prediction method after large-scale intermittent new-energy grid connection.

Description

technical field [0001] The invention relates to the fields of smart grid and energy Internet, and relates to a short-term load forecasting system and method based on attribute association under the environment of energy Internet. Background technique [0002] Power load forecasting is an important basis for power grid distribution management, an important basis for power system planning and scheduling, and an important part of power system operation. It has a very important impact on the safety and stability of power system operation. Due to the randomness and uncertainty of new energy generation such as wind energy and photovoltaic output after new energy is connected to the grid, how to solve the impact and prediction of real-time load changes after large-scale intermittent new energy is connected to the grid is the main research topic of this patent. content. Short-term load forecasting is based on the law of real-time load changes, comprehensively considers various fact...

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Problems solved by technology

[0005] So far, there are no literature reports and practical applications on the short-term load forecasting system and its method based on attribute association in the energy Internet environment

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