Research On Data Modeling Technology Of Station Area Electrical Equipment Based On Multi-stream Fusion

With the massive access of distributed photovoltaic,charging piles,and flexible loads in low-voltage distribution network scenarios,massive equipment grid connection has brought enormous challenges to the power grid in terms of energy flow,information flow,and business flow.Currently,the level of intelligence in low-voltage substation areas is insufficient,coordination and control capabilities are limited,operation and maintenance equipment functions are single,performance and application efficiency are low,access sensitivity is insufficient,and modular intelligent fusion terminal configurations are not flexible.These problems make it difficult to ensure flexible interaction between source,load,and storage,and it is difficult to meet the needs of low-cost and efficient power grid power flow balancing and stable operation,making it difficult for low-voltage platform areas to adapt to the needs of omni-directional sensing and intelligent identification under the power Internet of Things architecture,which is not conducive to the safe operation of equipment and the construction of new power systems.The power distribution system is a key part of the entire power system,and it needs to exert maximum initiative in direct contact with users.The utilization of power flow,information flow,and business flow to create intelligent sensing,monitoring,and management of equipment within low-voltage substation areas,thereby enhancing their efficient transmission and risk resistance capabilities,has been explored through the application of power line carrier wave sensing data modeling technology.The urgent need for the successful amalgamation of power,data,and commerce,in order to satisfy the needs of modern power system construction,has become a pressing concern.addressed.In response to the above issues,this article first studies the power grid panoramic model modeling method based on the model description specification language file commonly used in the field of power systems,and studies the technology of low-voltage substation energy,information,and business multi flow fusion,promoting the deep integration of low-voltage substation multi object "information flow energy flow business flow".Secondly,research on low-voltage substation multi stream fusion modeling based on power line carrier sensing.By using input-output theory,analyze the flow direction and distribution characteristics of access power,and build an energy flow model based on this;Relying on the similarity division method,the terminal multiple information is aggregated to form an information flow model;Considering the diversified characteristics of demand side business requirements,analyzing business characteristics from multiple time scales to establish a business flow model,and consideringThe maximum entropy spectrum method is employed to augment the quality of the business weight’s effect.business service;Collaborate energy flow,information flow,and business flow.Finally,based on the multi stream fusion modeling of the low voltage station area,the research on the power line carrier sensing low voltage station area regulation strategy based on multi stream fusion is carried out.Adopting a multi-object collaborative optimization of source network load storage in the low voltage station area,a multi time scale regulation based on energy flow and information flow fusion,as well as a three stream integration energy consistency regulation based on differentiated distribution,can effectively compensate for the prediction error of new energy.Enhancing the ratio of high-density distributed energy storage,grid connection,and new energy usage,while concurrently guaranteeing the stability of operation,is essential.low pressure platform areas,and create favorable conditions for the construction of new power systems.