Energy-saving automatic power distribution management system

Abstract

The utility model discloses an energy-saving automatic power distribution management system, which comprises an electric energy monitoring module, a load identification module, an energy-saving dispatching module, a remote control module and a data analysis module, has the functions of automatically popping up an alarm picture and prompting voice, and can inform related personnel through Email, mobile phone short messages and the like. The system realizes efficient monitoring, management and control of a power distribution system, improves real-time monitoring and response capability, reduces energy consumption, improves reliability of a power system, and meets the requirements of energy conservation and emission reduction.

Description

Technical Field

[0001] The utility model relates to the technical field of electric power systems, and more specifically to an energy-saving automatic power distribution management system. Background Art

[0002] Distribution automation technology is an important technology serving the reconstruction and construction of urban and rural distribution networks. Distribution automation includes feeder automation and distribution management system, and communication technology is the key to distribution automation. my country has carried out many pilot projects on distribution automation. The three-layer structure consisting of distribution master station, substation and feeder terminal has been generally recognized, and fiber optic communication as the communication mode of the backbone network has also been recognized. The realization of feeder automation can also be fully based on fiber optic communication, which enables feeder terminals to communicate with each other quickly and jointly realize feeder automation functions with higher performance.

[0003] The distribution automation system (DAS) is an automation system that enables distribution companies to monitor, coordinate and operate distribution equipment in real time from a remote location. Together with the distribution network data acquisition and monitoring system (SCADA system), distribution geographic information system (GIS) and demand side management (DSM), it constitutes the distribution management system (DMS).

[0004] Traditional power distribution systems usually use manual operation and fixed time period control methods, which result in resource waste, cumbersome manual management, lack of remote monitoring, and pose great safety risks.

[0005] Therefore, how to provide an energy-saving automatic power distribution management system is a problem that technical personnel in this field urgently need to solve. Utility Model Content

[0006] In view of this, the utility model provides an energy-saving automatic power distribution management system.

[0007] To achieve the above-mentioned purpose, the utility model provides the following technical solutions, including: an electric energy monitoring module: used to monitor the electric energy consumption of the entire distribution system and record the electric energy usage data in real time; a load identification module: by identifying the working status of different load devices, intelligent control of the load equipment is realized; an energy-saving scheduling module: according to the data recorded by the electric energy monitoring module and the load conditions identified by the load identification module, energy-saving scheduling is automatically performed to optimize the operating efficiency of the distribution system; a remote control module: supports remote monitoring and control functions, so that users can remotely monitor the operating status of the distribution system in real time through mobile phones or computers, and perform remote control operations; a data analysis module: analyzes the electric energy usage data and the working status of the load equipment, generates reports and provides intelligent suggestions to help users reasonably arrange electric energy usage plans.

[0008] Preferably, in the above-mentioned energy-saving automatic power distribution management system, the power monitoring module includes sensors and monitoring devices installed in the power distribution system, and the sensors are used to monitor the power consumption in real time, including current, voltage, power and other data, and transmit the data to the monitoring device for processing and recording.

[0009] Preferably, in the above-mentioned energy-saving automatic power distribution management system, the load identification module includes a load identification algorithm and an identification device, which identifies the working status of different load devices by monitoring the current and voltage waveform characteristics, and realizes intelligent control of each device, including power on and off, power adjustment and other operations.

[0010] Preferably, in the above-mentioned energy-saving automatic power distribution management system, the energy-saving scheduling module includes an energy-saving scheduling device, which automatically performs energy-saving scheduling in combination with power monitoring data and load identification results, optimizes the operating efficiency of the power distribution system, dynamically adjusts power distribution, and achieves energy saving purposes.

[0011] Preferably, in the above-mentioned energy-saving automatic power distribution management system, the remote control module realizes remote monitoring and control functions through network connection, has historical data management function, can save real-time sampling data and event sequence records to a relational database management system, and supports custom query parameters, time period query and curve graph drawing.

[0012] Preferably, in the above energy-saving automatic power distribution management system, the remote control module has the functions of automatic pop-up of alarm screen and voice prompt, and can notify relevant personnel through email, mobile phone text messages, etc., to improve real-time monitoring and response capabilities.

[0013] Preferably, in the above energy-saving automatic power distribution management system, the reports generated by the data analysis module include power consumption statistics reports and power trend reports, which can be generated manually or on a scheduled basis, or can be generated in XML format through event triggering.

[0014] It can be seen from the above technical solution that, compared with the prior art, the beneficial effects of the utility model are:

[0015] 1. Energy saving and emission reduction: Through intelligent energy-saving scheduling and load identification, the system can dynamically adjust according to the real-time load conditions and optimize the distribution of electricity, thereby reducing energy consumption, reducing energy waste, and achieving the effect of energy saving and emission reduction.

[0016] 2. Improve efficiency: Through data analysis and intelligent control, the operating efficiency of the distribution system will be improved. The system can manage electricity use more intelligently, improve power supply efficiency and reduce operating costs.

[0017] 3. Remote monitoring and control: Users can use the remote control module to monitor the operating status of the power distribution system in real time, perform remote control operations, and achieve remote management, which improves convenience and flexibility.

[0018] 4. Intelligent management: The data analysis module provides in-depth data analysis and intelligent suggestions to help users better manage the power distribution system, reasonably arrange power usage plans, and provide energy-saving suggestions, thereby realizing intelligent management.

[0019] 5. Environmental protection effect: By saving energy and reducing emissions and improving energy utilization efficiency, intelligent power distribution management devices help reduce the impact on the environment, promote green and sustainable development, and have good environmental protection effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the utility model. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0021] Figure 1 The attached figure is a module function diagram of the present utility model.

[0022] Figure 2 The accompanying drawing is a schematic diagram of the working principle flow of the utility model. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0024] Please see attached Figure 1-2 , which is an energy-saving automatic power distribution management system disclosed by the utility model.

[0025] The utility model mainly includes:

[0026] Power monitoring module: used to monitor the power consumption of the entire power distribution system and record power usage data in real time;

[0027] It should be noted that the power monitoring module includes sensors and monitoring devices installed in the power distribution system, and adopts high-precision power monitoring devices, such as precision power meters. The sensors are used to monitor power consumption in real time, including current, voltage, power and other data, and transmit the data to the monitoring device for processing and recording.

[0028] Load identification module: realizes intelligent control of load equipment by identifying the working status of different load equipment;

[0029] It should be noted that the load identification module includes a load identification algorithm and an identification device, which identifies the working status and energy consumption of each load device in the power distribution system based on a deep learning algorithm and an intelligent load identification sensor. For example, by monitoring the current and voltage waveform characteristics, the working status of different load devices can be identified to achieve intelligent control of each device, including power on and off, power adjustment and other operations, and intelligent management and optimized scheduling of load devices.

[0030] Energy-saving scheduling module: According to the data recorded by the power monitoring module and the load conditions identified by the load identification module, it automatically performs energy-saving scheduling to optimize the operating efficiency of the power distribution system;

[0031] It should be noted that the energy-saving scheduling module includes an energy-saving scheduling device, which combines power monitoring data and load identification results, uses an intelligent energy-saving controller to formulate an energy-saving scheduling strategy, automatically performs energy-saving scheduling, optimizes the operating efficiency of the distribution system, dynamically adjusts power distribution, and adjusts the power supply strategy in real time to achieve energy conservation and emission reduction and improve power supply efficiency.

[0032] Remote control module: supports remote monitoring and control functions, allowing users to remotely monitor the operating status of the power distribution system in real time through mobile phones or computers, and perform remote control operations;

[0033] It should be noted that the remote control module realizes remote monitoring and control functions through network connection, has historical data management function, can save real-time sampling data and event sequence records to SQL Server database (relational database management system), and supports custom query parameters, time period query and curve graph drawing.

[0034] It should be noted that the remote control module has the functions of automatic pop-up alarm screen and voice prompt, and can notify relevant personnel through Email, mobile phone text messages, etc. Users can remotely monitor the operating status of the distribution system through the mobile phone App or Web interface to improve real-time monitoring and response capabilities.

[0035] Data analysis module: Analyzes power usage data and load equipment working status, generates reports and provides intelligent suggestions to help users arrange power usage plans reasonably.

[0036] It should be noted that the data analysis module uses big data analysis technology and combines it with an intelligent data collector to conduct in-depth analysis of power monitoring data. The generated reports include power consumption statistical reports and power trend reports. They can be generated manually or on a scheduled basis, or they can be triggered by events to generate XML format reports. It provides intelligent suggestions and optimization solutions to help users save energy, improve efficiency and reduce costs.

[0037] The workflow of the utility model is:

[0038] S1. Monitoring and data transmission: The sensor monitors the current, voltage, power and other data in the power distribution system in real time, and transmits the data to the monitoring device for processing and recording;

[0039] S2 identifies the working status: monitors the current and voltage waveform characteristics through the load identification algorithm and identification device, identifies the working status of different load devices, and realizes intelligent control operation;

[0040] S3 adjusts and distributes electric energy: Combines electric energy monitoring data and load identification results to automatically perform energy-saving scheduling, optimize the operating efficiency of the power distribution system, dynamically adjust electric energy distribution, and achieve energy saving;

[0041] S4 sends notifications: remote monitoring and control functions are realized through network connection, including historical data management, automatic pop-up of alarm screen, voice prompt function, and notification of relevant personnel through email, mobile phone text messages, etc.

[0042] S5 generates data documents: analyzes power usage data and load equipment working status, and generates reports including power consumption statistics reports and power trend reports. It can be generated manually or on a scheduled basis, or XML format reports can be generated through event triggering.

[0043] The utility model adopts a high-precision power monitoring device to monitor the power consumption of the power distribution system in real time to ensure data accuracy. The load identification module identifies the working status and energy consumption of the load equipment based on a deep learning algorithm to achieve intelligent management and optimized scheduling. The energy-saving scheduling module combines load identification and power monitoring data to formulate energy-saving strategies, and adjusts the power supply strategy in real time to achieve energy conservation and emission reduction and improve efficiency. At the same time, the remote control module allows users to remotely monitor the system status and control the equipment switch in real time through a mobile phone App or Web interface to improve management convenience. The data analysis module uses big data technology to conduct in-depth analysis of power data, provide intelligent suggestions and optimization solutions, and help users achieve energy saving, improve efficiency and reduce costs.

[0044] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0045] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An energy-saving automatic power distribution management system, characterized in that: include: Power monitoring module: used to monitor the power consumption of the entire power distribution system and record power usage data in real time; Load identification module: realizes intelligent control of load equipment by identifying the working status of different load equipment; Energy-saving scheduling module: According to the data recorded by the power monitoring module and the load conditions identified by the load identification module, it automatically performs energy-saving scheduling to optimize the operating efficiency of the power distribution system; Remote control module: supports remote monitoring and control functions, allowing users to remotely monitor the operating status of the power distribution system in real time through mobile phones or computers, and perform remote control operations; Data analysis module: Analyzes power usage data and load equipment working status, generates reports and provides intelligent suggestions to help users arrange power usage plans reasonably.

2. The energy-saving automatic power distribution management system according to claim 1, characterized in that: The electric energy monitoring module includes sensors and monitoring devices installed in the power distribution system. The sensors are used to monitor the electric energy consumption in real time, including current, voltage, and power data, and transmit the data to the monitoring device for processing and recording.

3. The energy-saving automatic power distribution management system according to claim 1, characterized in that: The load identification module includes a load identification algorithm and an identification device, which identifies the working status of different load devices by monitoring the current and voltage waveform characteristics, and realizes intelligent control of each device, including power on / off and power adjustment operations.

4. The energy-saving automatic power distribution management system according to claim 1, characterized in that: The energy-saving scheduling module includes an energy-saving scheduling device, which automatically performs energy-saving scheduling in combination with power monitoring data and load identification results, optimizes the operating efficiency of the distribution system, dynamically adjusts power distribution, and achieves energy-saving purposes.

5. The energy-saving automatic power distribution management system according to claim 1, characterized in that: The remote control module realizes remote monitoring and control functions through network connection, has historical data management function, can save real-time sampling data and event sequence records to a relational database management system, and supports custom query parameters, time period query and curve graph drawing.

6. The energy-saving automatic power distribution management system according to claim 5, characterized in that: The remote control module has the functions of automatic pop-up of alarm screen and voice prompt, and can notify relevant personnel through Email and mobile phone text messages, thus improving real-time monitoring and response capabilities.

7. The energy-saving automatic power distribution management system according to claim 1, characterized in that: The reports generated by the data analysis module include power consumption statistics reports and power trend reports, which can be generated manually or on a scheduled basis, and XML format reports can be generated through event triggering.

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