Electric Energy Management System

1. System Overview
Our company's electric energy management system adopts advanced computer network communication and control technology, and adopts a layered, distributed, and decentralized structure; Flexible application methods. It can be used to achieve automatic collection, analysis, and statistical functions of electrical energy in substations, switching stations, and large users, timely reflecting the enterprise's on grid electricity consumption and user status; And through data processing software, it supports interconnection with SCADA/EMS, MIS, power plant online bidding decision-making system, etc., and realizes data exchange between different systems, supporting other extended applications and advanced applications (such as power generation planning, assessment and billing, economic dispatch system, energy metering and billing settlement system, etc.), providing decision-making basis for the commercial operation of power enterprises.

2. System architecture
The system includes the following subsystems:
Real time acquisition subsystem
Maintain subsystem
User Management Subsystem
Network publishing subsystem

3. System features
C/S+thin client technology and distributed processing architecture, with the characteristics of layered openness and high real-time performance;
Distributed database structure;
Advanced RAID disk fault tolerance and massive storage technology provide sufficient technical support for storing large amounts of historical data;
A complete interface for data collection, rationality inspection, data maintenance, statistical analysis, and assessment processing services, which can be developed for system customization based on user characteristics and needs;
The functional modules of the system application software that can be flexibly configured enhance the scalability of the system;
The main station system supports remote maintenance of remote sub stations;
All application software is written in Java and C++, and database access is done using standard SQL language;
The ability to seamlessly communicate with third-party systems ensures data consistency and maximizes data sharing;
Each application database can be distributed across multiple servers or workstations;
The primary/backup systems work simultaneously to ensure reliable operation of the system;
Having a flexible network structure, it provides a good support environment for system openness and distribution.

4. System performance indicators
System capacity: The gateway collection point is ≥ 10000, and the data capacity is generally limited only by the hard disk capacity;
Data accuracy: 0 error compared to on-site electricity meter data;
Dual machine switching time: ≤ 30s;
System clock error: ≤ 100ms;
When the communication error rate is less than 10-4, the system can ensure normal communication;
Mean time between failures (MTBF) of various devices in the system: ≥ 20000 hours;
System availability: ≥ 99.9% (dual machine)
System operating lifespan: ≥ 15 years

5. System architecture diagram