Regional multi-energy complementary smart energy scheduling control system

Abstract

The invention discloses a regional multi-energy complementary smart energy scheduling control system, which collects enterprise data to a regional smart energy scheduling platform, and reasonably schedules resources of various energy enterprises by calculating and evaluating the real-time production cost of cold and heat power supply enterprises in a region, and improves the smart energy scheduling capability of a multi-energy complementary system in the region. On one hand, impact of new energy grid connection in the area on the power grid is eliminated, on the other hand, energy utilization efficiency in the area is improved, and safe, stable and economical operation of the area energy system is achieved.

Description

technical field [0001] The invention belongs to the field of multi-energy complementarity, and in particular relates to a regional-level multi-energy complementary smart energy dispatching control system. Background technique [0002] With the continuous improvement of the urbanization rate, the proportion of my country's urban building energy consumption in the overall energy consumption of the city is also continuously increasing. Regional energy planning is a leading work for my country to build low-carbon cities and control regional carbon emissions. For urban areas with abundant clean energy such as geothermal, photovoltaic, and wind power, how to efficiently utilize the resources of different energy companies and realize multi-energy complementary smart energy scheduling control is a research hotspot that needs to be solved urgently. With the rapid development of technologies such as the Internet, cloud computing, mobile applications, and artificial intelligence, indus...

AI Technical Summary

Problems solved by technology

The specific production and operation process of regional comprehensive energy enterprises is less involved, which makes the enterprises more independent. Each energy enterprise often plans with the application function as the core, and the data between different enterprises is relatively isolated, and the regional center deploys and coordinates Relatively lagging behind, intelligent management has not been achieved, and intelligent energy scheduling control cannot be achieved

At the same time, the management and control platform established by the enterprise itself is relatively narrow, with problems such as ineffective connection of data, poor cross-professional circulation, overlapping functions, and inconsistent system architecture, which are not conducive to the use of big data and the intelligent operation and management of enterprises. It is not conducive to big data to evaluate the real-time operating cost of the unit, and it is impossible to give regional management and control guidance data, resulting in energy waste and disordered management in the region.

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