Distributed Energy Storage Coordination Scheduling Algorithm Based on Big Data

As a classical knowledge representation and reasoning method in the field of artificial intelligence, rule engine has been widely studied and used in academia and industry. In recent years, the popularity of cloud big data provides a broader application space for rule engine, but it also brings severe challenges. Distributed storage is an excellent solution at present. It will realize the following features: scalability, availability, persistence, consistency and partition tolerance. Studies the economic optimal scheduling of distributed energy storage (DES) by formulating a reasonable coordinated scheduling strategy of DES. In this context, the public security work has faced many new challenges. Strengthening the construction of public security information. Based on the existing new energy power generation technology, this paper explores the method of “taking local materials” for power generation, transmission and consumption in rural areas and harsh environment areas where power transmission is difficult to reach. This paper focuses on the solar photovoltaic power generation, wind power generation and biomass power generation technologies which are more mature in new energy technologies, and simulates their power generation and grid connection.