CN112467879A - Intelligent monitoring system, method and equipment for park energy - Google Patents

Intelligent monitoring system, method and equipment for park energy Download PDF

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Publication number
CN112467879A
CN112467879A CN202011293963.7A CN202011293963A CN112467879A CN 112467879 A CN112467879 A CN 112467879A CN 202011293963 A CN202011293963 A CN 202011293963A CN 112467879 A CN112467879 A CN 112467879A
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energy
data
power generation
monitoring
monitoring module
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Chinese (zh)
Inventor
宋景慧
胡春潮
刘石
伍晓泉
陈文�
苏雷涛
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Electric Power Research Institute of Guangdong Power Grid Co Ltd
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Electric Power Research Institute of Guangdong Power Grid Co Ltd
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Priority to CN202011293963.7A priority Critical patent/CN112467879A/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20Smart grids as enabling technology in buildings sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00Climate change mitigation technologies for sector-wide applications
    • Y02P80/20Climate change mitigation technologies for sector-wide applications using renewable energy
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/123Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/40Display of information, e.g. of data or controls
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/12Energy storage units, uninterruptible power supply [UPS] systems or standby or emergency generators, e.g. in the last power distribution stages

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Human Computer Interaction (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application discloses park energy intelligent monitoring system, method and equipment, photovoltaic power generation station energy data to the park, wind power generation station energy data, energy storage system data, fill electric pile data, electricity room power consumption data and sewage treatment data are gathered and are analyzed, and demonstrate the data analysis result through the display screen, no longer confine to photovoltaic power generation and wind power generation system's data analysis, the technical problem that current park energy management and control mode can't satisfy to carry out comprehensive and intelligent ground control and analysis to the park energy has been solved.

Description

Intelligent monitoring system, method and equipment for park energy
Technical Field
The application relates to the technical field of automation of energy monitoring systems, in particular to a park energy intelligent monitoring system, method and equipment.
Background
The park refers to a designated area of centralized and unified planning of governments, and enterprises, companies and the like specially provided with certain specific industries and forms in the area are managed in a unified manner, such as industrial parks, trade parks, industrial parks, cartoon parks and the like, and along with the policy call of national energy conservation and efficient utilization, a system capable of intelligently and comprehensively displaying various energy conditions of the park is established according to the requirements of future industrial development and business.
Energy monitoring and analysis of the existing park energy monitoring and management system are mainly used for monitoring and analyzing the power conditions of a photovoltaic power generation system and a wind power generation system, however, the energy consumption of a park is not only embodied on the photovoltaic power generation system and the wind power generation system, but also comprises charging piles, energy consumption in aspects such as an electric room and the like, therefore, how to comprehensively and intelligently monitor and analyze the park energy, so as to effectively manage and control the park energy, and the technical problem to be solved by technical personnel in the field is needed urgently.
Disclosure of Invention
The application provides a park energy intelligent monitoring system, method and equipment, which are used for solving the technical problem that the existing park energy management and control mode cannot meet the requirement of comprehensively and intelligently monitoring and analyzing park energy.
In view of this, the present application provides in a first aspect an intelligent monitoring system for park energy, including:
the system comprises a photovoltaic power generation monitoring module, a wind power generation module, a hybrid energy storage monitoring module, a charging pile monitoring module, an electric room monitoring module, an industrial switch, a data server and a display screen;
the photovoltaic power generation monitoring module is used for monitoring photovoltaic power generation state parameters of a photovoltaic power station, wherein the photovoltaic power generation state parameters comprise installed capacity, power station power, accumulated power generation amount, daily power generation amount, monthly power generation amount and safe operation indexes;
the wind power generation monitoring module is used for monitoring wind power generation state parameters of a wind power station, wherein the wind power generation state parameters comprise installed capacity, power station power, accumulated power generation amount, monthly power generation amount, daily power generation amount, weather parameters on the day, real-time power generation amount of a fan, PWM (pulse-width modulation) unloading state of the fan and three-phase unloading state of the fan;
the hybrid energy storage monitoring module is used for monitoring data of the super capacitor energy storage system and data of the lithium iron phosphate battery energy storage system;
the charging pile monitoring module is used for monitoring basic information of the charging pile and operating parameters of the charging pile;
the electric room monitoring module is used for monitoring electric room operation parameters, and the electric room operation parameters comprise real-time voltage, current, power factors, frequency, load, current unbalance, total power consumption and total power factors;
the industrial switch is used for acquiring energy monitoring data of the photovoltaic power generation monitoring module, the wind power generation monitoring module, the hybrid energy storage monitoring module, the charging pile monitoring module and the electric room monitoring module and sending the energy monitoring data to the data server;
the data server is used for analyzing and early warning the energy monitoring data sent by the industrial switch to obtain an energy analysis result;
and the display screen is used for receiving the energy analysis result sent by the data server and carrying out visual display on the energy analysis result.
Optionally, the system further comprises an application server connected with the data server;
the application server is used for issuing the energy analysis result of the data server to a preset webpage platform, so that a user can remotely check the energy analysis result through an application terminal.
Optionally, the system further comprises a park sewage treatment monitoring module;
the park sewage treatment monitoring module is used for monitoring project parameters and operation data of the sewage treatment system, the project parameters comprise sewage discharge, designed maximum treatment capacity, long-term maximum treatment capacity, storage tank designed capacity, designed standard treatment capacity, daily operation time, daily operation treatment capacity peak value, operation power, daily power consumption, daily electricity charge and daily treatment capacity, and the operation data comprise current power, daily electricity and daily water output.
Optionally, the park sewage treatment monitoring module is further configured to analyze economic benefits, a water yield trend, a power consumption trend, a PH discharge trend, and a pollutant discharge trend according to the project parameters and the operation data.
Optionally, the electric room monitoring module is further configured to perform summary analysis and trend analysis on energy sources according to the total power consumption and the power factor, perform peak-to-valley analysis on the power consumption condition of the electric room, and perform real-time data analysis on the voltage, the current, the power factor, the frequency, the load, and the current imbalance of the electric room.
Optionally, the display screen is specifically configured to receive the energy analysis result sent by the data server, and visually display the energy analysis result in a graph and chart manner.
Optionally, the data of the super capacitor energy storage system includes: the method comprises the following steps of (1) charging and discharging theoretical values, charging and discharging real-time values, a system circuit diagram, total voltage of a super capacitor monomer, total current, SOC and temperature;
the data of the lithium iron phosphate battery energy storage system comprise: the system comprises a charge-discharge theoretical value, a charge-discharge real-time value, a system circuit diagram, the total voltage of a lithium battery monomer, the total current, the SOC, the SOH and the temperature.
Optionally, the charging pile monitoring module is further configured to analyze a charging quantity trend, and establish a charging pile simulation diagram and a data mining analysis table.
The second aspect of the application provides a park energy intelligent monitoring method, which comprises the following steps:
gather the energy data of garden, the energy data includes: the method comprises the following steps of (1) state parameters of a photovoltaic power station, photovoltaic power generation state parameters of a wind power station, data of a super capacitor energy storage system, data of a lithium iron phosphate battery energy storage system, basic information of a charging pile, operating parameters of the charging pile and operating parameters of an electric room;
analyzing and early warning the energy data to obtain an energy analysis result;
and visually displaying the energy analysis result.
A third aspect of the present application provides a park energy intelligent monitoring device, including a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the park energy intelligent monitoring method described in the second aspect when executing the computer program.
According to the technical scheme, the embodiment of the application has the following advantages:
the application provides a park energy intelligent monitoring system, includes: the system comprises a photovoltaic power generation monitoring module, a wind power generation module, a hybrid energy storage monitoring module, a charging pile monitoring module, an electric room monitoring module, an industrial switch, a data server and a display screen; the photovoltaic power generation monitoring module is used for monitoring photovoltaic power generation state parameters of the photovoltaic power station, wherein the photovoltaic power generation state parameters comprise installed capacity, power station power, accumulated power generation amount, daily power generation amount, monthly power generation amount and safe operation indexes; the wind power generation monitoring module is used for monitoring wind power generation state parameters of the wind power station, wherein the wind power generation state parameters comprise installed capacity, power station power, accumulated generated energy, monthly generated energy, daily generated energy, weather parameters of the day, real-time generated energy of the fan, PWM (pulse-width modulation) unloading state of the fan and three-phase unloading state of the fan; the hybrid energy storage monitoring module is used for monitoring data of the super capacitor energy storage system and data of the lithium iron phosphate battery energy storage system; the charging pile monitoring module is used for monitoring basic information of the charging pile and operating parameters of the charging pile; the system comprises an electric room monitoring module, a data processing module and a data processing module, wherein the electric room monitoring module is used for monitoring electric room operation parameters, and the electric room operation parameters comprise real-time voltage, current, power factors, frequency, load, current unbalance, total power consumption and total power factors; the industrial switch is used for acquiring energy monitoring data of the photovoltaic power generation monitoring module, the wind power generation monitoring module, the hybrid energy storage monitoring module, the charging pile monitoring module and the electric room monitoring module and sending the energy monitoring data to the data server; the data server is used for analyzing and early warning the energy monitoring data transmitted by the industrial switch to obtain an energy analysis result; and the display screen is used for receiving the energy analysis result sent by the data server and visually displaying the energy analysis result.
The utility model provides a park energy intelligent monitoring system, photovoltaic power generation station energy data to the park, wind power generation station energy data, energy storage system data, it gathers and the analysis to fill electric pile data and electricity room power consumption data, and demonstrate the data analysis result through the display screen, no longer confine to photovoltaic power generation and wind power generation system's data analysis, the technical problem of current park energy management and control mode can't satisfy to carry out comprehensive and intelligent ground control and analysis to the park energy has been solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for a user of ordinary skill in the art, other related drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent monitoring system for park energy provided in an embodiment of the present application;
fig. 2 is a schematic flow chart of an intelligent monitoring method for park energy provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a park energy intelligent monitoring device provided in an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example 1
For easy understanding, please refer to fig. 1, an embodiment of an intelligent monitoring system for park energy provided by the present application includes: the system comprises a photovoltaic power generation monitoring module, a wind power generation module, a hybrid energy storage monitoring module, a charging pile monitoring module, an electric room monitoring module, an industrial switch, a data server and a display screen;
the photovoltaic power generation monitoring module is used for monitoring photovoltaic power generation state parameters of the photovoltaic power station, wherein the photovoltaic power generation state parameters comprise installed capacity, power station power, accumulated power generation amount, daily power generation amount, monthly power generation amount and safe operation indexes;
the wind power generation monitoring module is used for monitoring wind power generation state parameters of the wind power station, wherein the wind power generation state parameters comprise installed capacity, power station power, accumulated generated energy, monthly generated energy, daily generated energy, weather parameters of the day, real-time generated energy of the fan, PWM (pulse-width modulation) unloading state of the fan and three-phase unloading state of the fan;
the hybrid energy storage monitoring module is used for monitoring data of the super capacitor energy storage system and data of the lithium iron phosphate battery energy storage system;
the charging pile monitoring module is used for monitoring basic information of the charging pile and operating parameters of the charging pile;
the system comprises an electric room monitoring module, a data processing module and a data processing module, wherein the electric room monitoring module is used for monitoring electric room operation parameters, and the electric room operation parameters comprise real-time voltage, current, power factors, frequency, load, current unbalance, total power consumption and total power factors;
the industrial switch is used for acquiring energy monitoring data of the photovoltaic power generation monitoring module, the wind power generation monitoring module, the hybrid energy storage monitoring module, the charging pile monitoring module and the electric room monitoring module and sending the energy monitoring data to the data server;
the data server is used for analyzing and early warning the energy monitoring data transmitted by the industrial switch to obtain an energy analysis result;
and the display screen is used for receiving the energy analysis result sent by the data server and visually displaying the energy analysis result.
It should be noted that the input end of the industrial switch is respectively electrically connected with the photovoltaic power generation monitoring module, the wind power generation monitoring module, the hybrid energy storage monitoring module, the charging pile monitoring module and the electric room monitoring module through optical fibers, and the output end of the industrial switch is electrically connected with the data server and the display screen. The industrial switch may have a network firewall integrated within it.
The photovoltaic power generation monitoring module monitors the installed capacity, the power station power, the accumulated power generation amount, the current day power generation amount, the current month power generation amount and the safe operation index of the photovoltaic power station, and analyzes power and sunshine degree, power generation amount trend, PR performance, weather and power generation amount prediction in the future seven days according to the monitored data.
The wind power generation monitoring module monitors the total installed capacity, the accumulated generated energy, the monthly generated energy, the daily generated energy, the weather parameters of the day, the real-time generated energy of the fan, the PWM unloading state of the fan and the three-phase unloading state of the fan of the wind power generation station, and analyzes the social contribution of the wind power generation station according to various data of the monitored wind power generation, including the reduction of the carbon dioxide amount, the reduction of the standard coal amount and the total planting amount.
The hybrid energy storage monitoring module is used for monitoring super capacitor energy storage system, lithium iron phosphate battery energy storage system and charge-discharge number of times and charge-discharge than, and the trend to the electric energy carries out the analysis, and wherein, the parameter of monitoring super capacitor energy storage system includes charge-discharge theoretical value, charge-discharge real-time value, system circuit diagram, super capacitor monomer total voltage, total current, SOC and temperature, and the data of monitoring lithium iron phosphate battery energy storage system include: the system comprises a charge-discharge theoretical value, a charge-discharge real-time value, a system circuit diagram, the total voltage of a lithium battery monomer, the total current, the SOC, the SOH and the temperature.
The charging pile monitoring module monitors basic information of the charging pile and various operating parameters of the charging pile in real time, the basic information of the charging pile comprises the number of direct-current charging piles, the number of alternating-current charging piles, the number of annual charging times, the annual charging time, the annual charging amount and the monthly charging amount, power consumption trend is analyzed, a charging pile simulation diagram and a data mining analysis table are established, the charging pile simulation diagram comprises charging pile names, output currents, output voltages, active total power and current alarm states, and the data mining analysis table comprises an alarm classification ratio analysis table, a time zone ranking analysis table and an alarm ranking analysis table.
The electric room monitoring module monitors real-time voltage of an electric room, current, power factors, frequency, load, current unbalance, total power consumption and total power factors, energy sources are collected and analyzed through the total power consumption and the total power factors, peak-valley analysis is carried out on the power consumption condition of the electric room, real-time data of the electric room are analyzed through the voltage, the current, the power factors, the frequency, the load and the current unbalance, an energy flow graph is built simultaneously, the energy flow direction is displayed in a graph mode, an electric room real-scene graph is built, and the actual condition of the electric room is displayed in real time through video signals.
And the data server analyzes preset analysis items according to the monitoring data of each monitoring module acquired by the industrial switch to generate an energy analysis result.
The display screen displays the energy analysis result and the monitoring data and the processing data result of each monitoring module in a visual chart mode, and the visual chart is assisted with colors, characters, dynamic charts and static icons to assist a user in quickly acquiring key information.
The utility model provides a garden energy intelligent monitoring system, photovoltaic power generation station energy data to the garden, wind power generation station energy data, energy storage system data, it gathers and the analysis to fill electric pile data and electricity room power consumption data, and demonstrate the data analysis result through the display screen, no longer confine to photovoltaic power generation and wind power generation system's data analysis, the technical problem of current garden energy management and control mode can't satisfy to carry out comprehensive and intelligent ground control and analysis to the garden energy has been solved.
Example 2
As a further improvement to embodiment 1, the present application provides another embodiment of the intelligent monitoring system for park energy, and on the basis of embodiment 1, the intelligent monitoring system for park energy of the embodiment of the present application may further include an application server connected to the data server, and a park sewage treatment monitoring module;
and the application server is used for publishing the energy analysis result of the data server to a preset webpage platform, so that a user can remotely check the energy analysis result and the monitoring data of each monitoring module through the application terminal.
The park sewage treatment monitoring module is used for monitoring project parameters and operation data of the sewage treatment system, the project parameters comprise sewage discharge, design maximum treatment capacity, long-term maximum treatment capacity, storage tank design capacity, design standard treatment capacity, daily operation time, daily operation treatment capacity peak value, operation power, daily power consumption, daily electricity charge and daily treatment capacity, and the operation data comprise current power, daily electricity and daily water output. The park sewage treatment monitoring module displays a sewage treatment process flow chart, analyzes economic benefits, water yield trend, power consumption trend, PH discharge trend and pollutant discharge trend according to monitored data, and automatically calculates a safety index in the sewage treatment process based on a safety index algorithm.
Example 3
For easy understanding, referring to fig. 2, an embodiment of a method for intelligently monitoring park energy is provided, including:
step 101, collecting energy data of a park, wherein the energy data comprises: the system comprises state parameters of a photovoltaic power station, photovoltaic power generation state parameters of a wind power station, data of a super capacitor energy storage system, data of a lithium iron phosphate battery energy storage system, basic information of a charging pile, operating parameters of the charging pile and operating parameters of an electric room.
The photovoltaic power generation state parameters comprise installed capacity, power station power, accumulated power generation amount, daily power generation amount, monthly power generation amount and safe operation indexes, the wind power generation state parameters comprise installed capacity, power station power, accumulated power generation amount, monthly power generation amount, daily weather parameters, real-time power generation amount of a fan, PWM unloading state of the fan and three-phase unloading state of the fan, the electric room operation parameters comprise real-time voltage, current, power factors, frequency, load, current unbalance degree, total power consumption and total power factors, and the data of the super-capacitor energy storage system comprise: charge-discharge theoretical value, charge-discharge real-time value, system circuit diagram, super capacitor monomer total voltage, total current, SOC and temperature, lithium iron phosphate battery energy storage system's data include: the system comprises a charge-discharge theoretical value, a charge-discharge real-time value, a system circuit diagram, the total voltage of a lithium battery monomer, the total current, the SOC, the SOH and the temperature.
The collected park energy data may also include park sewage treatment data, including sewage discharge, design maximum throughput, long term maximum throughput, storage tank design capacity, design standard throughput, daily operating time, daily operating throughput peak, operating power, daily power consumption, daily electricity charge and daily throughput, sewage treatment system current power, daily power consumption, and daily water output. The park sewage treatment monitoring module displays a sewage treatment process flow chart, analyzes economic benefits, water yield trend, power consumption trend, PH discharge trend and pollutant discharge trend according to monitored data, and automatically calculates a safety index in the sewage treatment process based on a safety index algorithm.
And 102, analyzing and early warning the energy data to obtain an energy analysis result.
And analyzing the collected monitoring data of each monitoring module by a preset analysis project to generate an energy analysis result.
And 103, visually displaying the energy analysis result.
And the energy analysis result, the monitoring data of each monitoring module and the data processing result are visually displayed in a visual chart mode, and the visual chart is assisted with colors, characters, dynamic charts and static icons to assist a user in quickly acquiring key information.
Example 4
Referring to fig. 3, the present application provides an embodiment of a intelligent monitoring device for park energy, which includes a memory and a processor, where the memory stores a computer program, and the processor executes the computer program to implement the steps of the intelligent monitoring method for park energy in embodiment 3.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. The utility model provides a garden energy intelligent monitoring system which characterized in that includes: the system comprises a photovoltaic power generation monitoring module, a wind power generation module, a hybrid energy storage monitoring module, a charging pile monitoring module, an electric room monitoring module, an industrial switch, a data server and a display screen;
the photovoltaic power generation monitoring module is used for monitoring photovoltaic power generation state parameters of a photovoltaic power station, wherein the photovoltaic power generation state parameters comprise installed capacity, power station power, accumulated power generation amount, daily power generation amount, monthly power generation amount and safe operation indexes;
the wind power generation monitoring module is used for monitoring wind power generation state parameters of a wind power station, wherein the wind power generation state parameters comprise installed capacity, power station power, accumulated power generation amount, monthly power generation amount, daily power generation amount, weather parameters on the day, real-time power generation amount of a fan, PWM (pulse-width modulation) unloading state of the fan and three-phase unloading state of the fan;
the hybrid energy storage monitoring module is used for monitoring data of the super capacitor energy storage system and data of the lithium iron phosphate battery energy storage system;
the charging pile monitoring module is used for monitoring basic information of the charging pile and operating parameters of the charging pile;
the electric room monitoring module is used for monitoring electric room operation parameters, and the electric room operation parameters comprise real-time voltage, current, power factors, frequency, load, current unbalance, total power consumption and total power factors;
the industrial switch is used for acquiring energy monitoring data of the photovoltaic power generation monitoring module, the wind power generation monitoring module, the hybrid energy storage monitoring module, the charging pile monitoring module and the electric room monitoring module and sending the energy monitoring data to the data server;
the data server is used for analyzing and early warning the energy monitoring data sent by the industrial switch to obtain an energy analysis result;
and the display screen is used for receiving the energy analysis result sent by the data server and carrying out visual display on the energy analysis result.
2. The intelligent campus energy monitoring system of claim 1 further comprising an application server connected to the data server;
the application server is used for issuing the energy analysis result of the data server to a preset webpage platform, so that a user can remotely check the energy analysis result through an application terminal.
3. The intelligent monitoring system for park energy of claim 1, further comprising a park sewage treatment monitoring module;
the park sewage treatment monitoring module is used for monitoring project parameters and operation data of the sewage treatment system, the project parameters comprise sewage discharge, designed maximum treatment capacity, long-term maximum treatment capacity, storage tank designed capacity, designed standard treatment capacity, daily operation time, daily operation treatment capacity peak value, operation power, daily power consumption, daily electricity charge and daily treatment capacity, and the operation data comprise current power, daily electricity and daily water output.
4. The intelligent monitoring system for park energy according to claim 3, wherein the park sewage treatment monitoring module is further used for analyzing economic benefits, water yield trend, power consumption trend, PH discharge trend and pollutant discharge trend according to the project parameters and the operation data.
5. The intelligent campus energy monitoring system of claim 1, wherein the electric room monitoring module is further configured to perform a summary analysis and trend analysis on energy sources according to the total power consumption and the power factor, perform a peak-to-valley analysis on power consumption of an electric room, and perform a real-time data analysis on the voltage, the current, the power factor, the frequency, the load, and the current imbalance of the electric room.
6. The intelligent monitoring system for park energy according to claim 1, wherein the display screen is specifically configured to receive the energy analysis result sent by the data server, and visually display the energy analysis result in a graphical chart manner.
7. The intelligent campus energy monitoring system of claim 1, wherein the data of the super capacitor energy storage system comprises: the method comprises the following steps of (1) charging and discharging theoretical values, charging and discharging real-time values, a system circuit diagram, total voltage of a super capacitor monomer, total current, SOC and temperature;
the data of the lithium iron phosphate battery energy storage system comprise: the system comprises a charge-discharge theoretical value, a charge-discharge real-time value, a system circuit diagram, the total voltage of a lithium battery monomer, the total current, the SOC, the SOH and the temperature.
8. The intelligent campus energy monitoring system of claim 1, wherein the charging pile monitoring module is further configured to analyze charging quantity trends and establish a charging pile simulation graph and a data mining analysis table.
9. An intelligent monitoring method for park energy is characterized by comprising the following steps:
gather the energy data of garden, the energy data includes: the method comprises the following steps of (1) state parameters of a photovoltaic power station, photovoltaic power generation state parameters of a wind power station, data of a super capacitor energy storage system, data of a lithium iron phosphate battery energy storage system, basic information of a charging pile, operating parameters of the charging pile and operating parameters of an electric room;
analyzing and early warning the energy data to obtain an energy analysis result;
and visually displaying the energy analysis result.
10. An intelligent monitoring device for park energy, comprising a memory and a processor, wherein the memory stores a computer program, and wherein the processor implements the steps of the intelligent monitoring method for park energy according to claim 9 when executing the computer program.
CN202011293963.7A 2020-11-18 2020-11-18 Intelligent monitoring system, method and equipment for park energy Pending CN112467879A (en)

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