Comprehensive energy environmental protection system based on cloud edge collaboration and control method

Abstract

The invention discloses a comprehensive energy environmental protection system based on cloud-side cooperation. The system comprises a cloud control center, a local control center, a local energy system and a local environmental protection system. The cloud control center is deployed at a system integration company for providing an integrated energy environmental protection system for an enterprise, the local control centers, the local energy system and the local environmental protection system are deployed at an industrial enterprise, and the cloud control center is remotely connected with the plurality of local control centers. Each local control center is connected with and controls the local energy system and the local environmental protection system; the invention further discloses a control method thereof, dual control of the local control center and the cloud control center is adopted, and the problem that due to the fact that the computing power of the local control center is insufficient, an objective function cannot be achieved in time according to changes of constraint conditions is effectively solved; as the cloud control center is connected with the local control centers in multiple places, a large amount of system operation data can be collected in real time, and the basis of big data technology analysis is formed.

Description

technical field [0001] The invention belongs to the technical field of new energy, and in particular relates to a comprehensive energy and environmental protection system and a control method based on cloud-edge collaboration. Background technique [0002] The comprehensive energy system includes energy production, conversion, transmission and utilization equipment, and integrates technologies such as waste heat recovery and energy storage to realize functions such as energy management and storage, and user-side energy distribution. The integrated energy system needs to consider the randomness, volatility and temporal and spatial differences of energy supply and demand, and coordinate different types of energy to meet the multi-objective needs of users, and different types of energy such as cold, heat and electricity are transmitted, converted and Complicated association processes such as storage are currently mainly implemented using empirical parameters based on local cont...

AI Technical Summary

Problems solved by technology

Its disadvantage is that if a more complex model is used, it requires strong local computing power, and the integrated energy systems in various places are in an isolated state, and its operating status and operating parameters cannot be entered into the data warehouse in real time, which is not convenient for realizing large data based on big data technology. Timely system parameter optimization

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