Optimal scheduling system for renewable energy microgrid

Abstract

The invention discloses an optimal scheduling system for a renewable energy microgrid. The system comprises a data acquisition module, a data storage module, a data modeling analysis module and a regulation interaction module, wherein the data acquisition module is used for storing acquired historical data in a relational database of the data storage module and sending the historical data to the data modeling analysis module; a data processing center in the data modeling analysis module is used for performing data modeling analysis on the historical data to generate a data record sheet, and outputting an energy consumption prediction result to the regulation interaction module; the regulation interaction module is used for formulating an optimal energy scheduling scheme by virtue of a control center of a renewable energy optimal scheduling system. The system is applicable to a microgrid runs in a grid connected or off-grid manner, the optimal scheduling requirement of a complex microgrid system with multiple kinds of energy coexisting is met, an optimal scheduling strategy is made, and the microgrid can run more economically and efficiently.

Description

technical field [0001] The invention relates to the field of power systems, in particular to an optimal scheduling system for a renewable energy micro-grid. Background technique [0002] With the continuous increase of the scale of my country's power system, the continuous increase of the interconnection of the national power grid system, and the influence of factors such as diversification of power consumption, my country's power system is facing increasing pressure on safety and reliability. In addition, with the maturity and application of renewable energy technologies such as distributed photovoltaics and wind power generation, the micro-grid composed of various power sources is regarded as an effective measure to alleviate the current pressure on the power grid. The function of peak filling and valley filling greatly improves the safety and stability of the power grid. [0003] According to the "2013-2017 China Microgrid Technology Progress and Prospect Forecast Analys...

AI Technical Summary

Problems solved by technology

When there are distributed photovoltaic power generation, wind power generation, fuel cells, micro gas turbines, national grid and other forms of power supply in a certain area, and equipped with energy storage units, the optimal scheduling of micro-grid energy will become more complicated.

It has the following disadvantages: energy scheduling is not timely; it cannot be applied to complex micro-grid systems; it cannot achieve efficient energy scheduling, and the proportion of energy loss is high

For complex microgrid systems, there is currently no cost-effective optimal dispatching system in China

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