Abstract

With the continuous advancement of the national energy strategy of China, constructing multistation fusion platform (MSFP) of substations, energy storage stations, and data center stations by taking advantage of the remaining resources of substations is a development trend. The monitoring of equipment operation and environmental parameters is a powerful guarantee for the stable and reliable operation of MSFP. Thus, this study developed an intelligent integrated monitoring system construction method that consists of state perception, information fusion, and decision and control layers. First, the state of equipment and environmental parameters were monitored efficiently through built-in status signals and multisensing techniques. Then, the multilevel transmission network, composite data structure, and data interface are integrated to achieve the collection of multisite information. Moreover, the device object model and station-level digital model were designed. Finally, the abnormal fault diagnosis of equipment, data fusion regulation, and coordinated optimization control were completed by using knowledge graph, data optimization and neural network modeling, and hierarchical analysis of multiple application scenarios in MSFP. The intelligent monitoring system can monitor and control the equipment, operation, and environment in the MSFP efficiently, thereby providing technical support for the new development of China’s electric power industry.

Highlights

  • Driven by the “Energy Internet” of the State Grid Corporation of China, the integration of energy flow, data flow, and service flow is an important development trend

  • The use of the remaining substation resources to achieve the “multistation integration” of substations, energy storage stations, and data center stations is the core of the future business in state grid [1]

  • To monitor the equipment status and operation of each station in real time, generating control strategies and conducting control actions based on the monitoring data is a key issue for the stable, high-quality, and reliable operation of the Multistation fusion platform (MSFP)

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Summary

Introduction

Driven by the “Energy Internet” of the State Grid Corporation of China, the integration of energy flow, data flow, and service flow is an important development trend. Multistation fusion platform (MSFP) can share hardware resources; accelerate the construction process; save the costs of lines planning, cables laying and cable channels; promote the quality and stability of services of various types of stations; and increase investment income [2,3,4]. Experts and scholars have explored the integrated construction and operation of substations, energy storage stations, and data center stations. Cui et al designed a fusion architecture based on a full DC bus; this architecture saved some links of power conversion required by the AC microgrid and provided a feasible way of new energy consumption, economical operation, and reliable operation of the system [5]. Zhang et al discussed the connotations and characteristics of multistation fusion and the design and feasibility of the operation model, service system, and business model [6]. An intelligent integrated monitoring platform is necessary for MSFP to monitor the status of the station efficiently, gather the monitoring data of various types of stations quickly, and mine heterogeneous data information simultaneously

Design of intelligent integrated monitoring system for MSFP
State perception layer
Decision and control layer
Conclusion
Full Text
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