CN116885843A - Big data-based intelligent management and control system for park distributed energy - Google Patents
Big data-based intelligent management and control system for park distributed energy Download PDFInfo
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- CN116885843A CN116885843A CN202310687030.3A CN202310687030A CN116885843A CN 116885843 A CN116885843 A CN 116885843A CN 202310687030 A CN202310687030 A CN 202310687030A CN 116885843 A CN116885843 A CN 116885843A
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- 230000005611 electricity Effects 0.000 claims abstract description 92
- 238000010248 power generation Methods 0.000 claims abstract description 79
- 238000007405 data analysis Methods 0.000 claims abstract description 26
- 238000012544 monitoring process Methods 0.000 claims abstract description 23
- 238000004146 energy storage Methods 0.000 claims description 21
- 238000001514 detection method Methods 0.000 claims description 13
- 239000000446 fuel Substances 0.000 claims description 10
- 239000007788 liquid Substances 0.000 claims description 5
- 239000004449 solid propellant Substances 0.000 claims description 5
- 230000003245 working effect Effects 0.000 claims description 4
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 3
- 229910052799 carbon Inorganic materials 0.000 claims description 3
- 239000002699 waste material Substances 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000002708 enhancing effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit 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
- H02J13/00002—Circuit 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
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit 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
- H02J13/00001—Circuit 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]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit 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
- H02J13/00006—Circuit 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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J9/00—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting
- H02J9/04—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
- H02J9/06—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The application relates to the technical field of distributed energy control, in particular to a campus distributed energy intelligent management and control system based on big data, which comprises a monitoring module, a data module, a management and control module and a power generation module, wherein the monitoring module, the data module, the management and control module and the power generation module are sequentially connected; the monitoring module is used for monitoring the electricity consumption data of users at each floor of the park; the data module is used for carrying out big data analysis on the monitored electricity consumption data and judging electricity consumption requirements of users on each floor; the control module is used for limiting and controlling the electricity consumption of users at each floor of the park; the power generation module is used for generating and storing power for each floor user in the park, and power can not be interrupted when power failure is guaranteed, so that the power utilization conditions of each floor user in the park can be collected, analyzed and controlled in daily use, electric quantity waste is effectively reduced, reserve electric quantity in the park is guaranteed not to be consumed too fast, and the use experience of users is improved.
Description
Technical Field
The application relates to the technical field of distributed energy control, in particular to a campus distributed energy intelligent management and control system based on big data.
Background
The power consumption demand is big in industrial park or science and technology park, generally through setting up intelligent management and control system, records the power consumption condition in the park, carries out reasonable distribution with electric power simultaneously, can play the effect of energy saving.
However, in the prior art, when daily use is performed, the situation that the excess electricity consumption and the electricity consumption are rapidly increased occurs on each floor in the park, so that insufficient reserve power supply in the park is caused, and the use experience of other users is affected.
Disclosure of Invention
The application aims to provide a large data-based intelligent management and control system for park distributed energy, which solves the problems that in the prior art, when daily use is performed, excessive electricity consumption and rapid increase of electricity consumption occur on each floor in a park, so that insufficient reserve power supply in the park is caused, and the use experience of other users is affected.
In order to achieve the above purpose, the application provides a big data-based intelligent management and control system for park distributed energy, which comprises a monitoring module, a data module, a management and control module and a power generation module, wherein the monitoring module, the data module, the management and control module and the power generation module are sequentially connected;
the monitoring module is used for monitoring the electricity consumption data of users at each floor of the park;
the data module is used for carrying out big data analysis on the monitored electricity consumption data and judging electricity consumption requirements of users on each floor;
the control module is used for limiting and controlling the electricity consumption of users at each floor of the park;
the power generation module is used for generating and storing power and providing power for users on each floor of a park, and the power cannot be cut off when power is cut off.
The monitoring module comprises a power consumption acquisition unit and a power consumption recording unit, and the power consumption acquisition unit is connected with the power consumption recording unit;
the electricity consumption acquisition unit is used for acquiring electricity consumption data of users on each floor of the park;
and the electricity consumption recording unit is used for recording the collected electricity consumption data and sending the collected electricity consumption data to the data module for big data analysis.
The data module comprises a database and a data analysis unit, and the database is connected with the data analysis unit;
the database is used for receiving the electricity consumption data of a large number of park users;
the data analysis unit is used for carrying out big data analysis according to the working property and the equipment quantity of the park users and then combining the electricity consumption data, accurately judging the electricity consumption requirement of the park users and setting the electricity consumption limit according to the requirement.
The management and control module comprises a power supply unit, an excess reminding unit, a power stopping unit, a residual electric quantity inquiring unit and an additional payment unit, wherein the power supply unit, the excess reminding unit, the power stopping unit, the residual electric quantity inquiring unit and the additional payment unit are sequentially connected;
the power supply unit is used for supplying power according to the requirements of users in the park;
the excess reminding unit is used for sending out reminding when the electricity consumption of the park user is about to be excess;
the power supply stopping unit is used for cutting off power when the electricity consumption of the users in the park exceeds the electricity consumption;
the residual electric quantity inquiry unit is used for the park user to check the residual electric quantity of the park user;
and the additional payment unit is used for enabling the park user to carry out additional payment after excess, so that the power supply is restored again.
The power generation module comprises a wind power generation unit and a solar power generation unit, and the wind power generation unit is connected with the solar power generation unit;
the wind power generation unit is used for generating power through wind power;
the solar power generation unit is used for generating power by utilizing solar energy through the action of the plurality of arranged photovoltaic panels, reducing carbon emission and protecting the environment.
The intelligent management and control system for the park distributed energy based on the big data further comprises a power generation enhancement module, and the power generation enhancement module is connected with the power generation module.
The power generation enhancement module comprises a thermal power generation unit, a wind power detection unit and an energy storage unit, wherein the thermal power generation unit, the wind power detection unit and the energy storage unit are sequentially connected;
the thermal power generation unit is used for generating electricity by throwing solid fuel, liquid fuel and gas fuel;
the wind power detection unit is used for detecting whether wind power is enough to start the wind power generation unit;
the energy storage unit is used for storing generated electric power so as to be used when the power grid is in outage.
According to the intelligent management and control system for the park distributed energy based on the big data, the monitoring module, the data module, the management and control module and the power generation module are sequentially connected; the monitoring module is used for monitoring the electricity consumption data of users at each floor of the park; the data module is used for carrying out big data analysis on the monitored electricity consumption data and judging electricity consumption requirements of users on each floor; the control module is used for limiting and controlling the electricity consumption of users at each floor of the park; the power generation module is used for generating and storing power for each floor user in the park, and can not be powered off when power failure is guaranteed, so that the power utilization conditions of each floor user in the park can be collected, analyzed and controlled in daily use, electric quantity waste is effectively reduced, the reserve electric quantity in the park is guaranteed not to be consumed too fast, and the use experience of the user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application 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.
Fig. 1 is a schematic overall view of a first embodiment of the present application.
Fig. 2 is a general schematic diagram of a second embodiment of the present application.
Fig. 3 is a general schematic of a third embodiment of the present application.
The system comprises a 101-monitoring module, a 102-data module, a 103-management module, a 104-power generation module, a 105-power consumption acquisition unit, a 106-power consumption recording unit, a 107-database, a 108-data analysis unit, a 109-power supply unit, a 110-excess reminding unit, a 111-power stop unit, a 112-residual power inquiry unit, a 113-extra payment unit, a 114-wind power generation unit, a 115-solar power generation unit, a 201-power generation enhancement module, a 202-thermal power generation unit, a 203-wind power detection unit, a 204-energy storage unit, a 301-distribution module, a 302-power storage alarm unit, a 303-power limiting unit and a 304-power distribution unit.
Detailed Description
The following detailed description of embodiments of the application, examples of which are illustrated in the accompanying drawings and, by way of example, are intended to be illustrative, and not to be construed as limiting, of the application.
First embodiment:
referring to fig. 1, fig. 1 is a schematic diagram of the whole of a first embodiment of the present application. The application provides a campus distributed energy intelligent management and control system based on big data, which comprises a monitoring module 101, a data module 102, a management and control module 103 and a power generation module 104, wherein the monitoring module 101 comprises a power consumption acquisition unit 105 and a power consumption recording unit 106, the data module 102 comprises a database 107 and a data analysis unit 108, the management and control module 103 comprises a power supply unit 109, an excess reminding unit 110, a power stopping unit 111, a residual electric quantity inquiring unit 112 and a payment unit 113, and the power generation module 104 comprises a wind power generation unit 114 and a solar power generation unit 115.
For this embodiment, the electricity consumption data of each floor user of the park is collected through the electricity consumption collection unit, and meanwhile, the collected electricity consumption data is recorded through the electricity consumption recording unit 106 and sent to the data module 102 for big data analysis, when the database 107 receives the electricity consumption data of the park user, the data analysis unit 108 is started, and according to the working property and the equipment number of the park user, the big data analysis is performed by combining the electricity consumption data, so that the electricity consumption requirement of the park user is accurately judged, and the electricity consumption amount is set according to the requirement.
The monitoring module 101, the data module 102, the control module 103 and the power generation module 104 are sequentially connected; the monitoring module 101 is used for monitoring electricity consumption data of users at each floor of the park; the data module 102 is configured to analyze the monitored electricity consumption data in big data, and determine electricity consumption requirements of users on each floor; the control module 103 is used for limiting and controlling the electricity consumption of users at each floor of the park; the power generation module 104 is used for generating and storing power and providing power for users on each floor of the park, so that power failure is avoided.
Secondly, the electricity consumption collection unit 105 is connected with the electricity consumption recording unit 106; the electricity consumption collection unit 105 is used for collecting electricity consumption data of users on each floor of a park; the electricity consumption recording unit 106 is configured to record the collected electricity consumption data, and send the collected electricity consumption data to the data module 102 for big data analysis.
Meanwhile, the database 107 is connected to the data analysis unit 108; the database 107 is configured to receive electricity consumption data of a large number of campus users; the data analysis unit 108 is configured to perform big data analysis according to the working properties and the number of devices of the campus users, and then combine the electricity consumption data, accurately determine the electricity consumption requirement of the campus users, and set an electricity consumption limit according to the requirement.
In addition, the power supply unit 109, the excess amount alert unit 110, the power supply stop unit 111, the remaining power inquiry unit 112, and the additional payment unit 113 are connected in this order; the power supply unit 109 is configured to supply power according to requirements of users in the park; the excess reminding unit 110 is configured to send a reminder when the electricity consumption of the campus user is about to be excess; the power supply stopping unit 111 is configured to power off when the amount of electricity used by the campus user exceeds the amount of electricity used by the campus; the remaining power inquiry unit 112 is configured to allow a campus user to check his/her remaining power; the additional payment unit 113 is configured to provide additional payment to the campus subscriber after excess, so as to restore the power supply.
Finally, the wind power generation unit 114 and the solar power generation unit 115 are connected; the wind power generation unit 114 is used for generating power through wind power; the solar power generation unit 115 is configured to generate power by using solar energy through the effect of the plurality of photovoltaic panels, reduce carbon emission, and protect the environment.
Use a garden distributed energy intelligence management and control system based on big data, firstly gather the power consumption data of each floor user in garden through the power collection unit, pass through simultaneously power consumption record unit 106 carries out the record to the power consumption data who gathers, and send to data module 102 carries out big data analysis, works as after data base 107 received the power consumption data of garden user, starts data analysis unit 108, according to the work nature and the equipment quantity of garden user, and the power consumption data that combines again carries out big data analysis, accurately judges the power consumption demand of garden user to set for the power consumption limit according to the demand, can pass through this moment power supply unit 109 is according to the power consumption of garden user demand, when the power consumption of garden user is about to be excessive, through the power consumption reminds unit 110 to send out the warning, if the user does not carry out the charge of charge, after the electric quantity is used up, stop power supply unit 111 cuts off the power supply of district user, and in addition, the user also can pass through the surplus electric quantity inquiry unit 112 looks up the surplus electric power, and if discovers that can carry out the electricity consumption of electricity generation unit again, can carry out the electricity generation through the power consumption of extra unit 113 in the power consumption that can be used for the power generation unit, and the power consumption is reduced by the power consumption is realized in the power consumption of each floor, and the power consumption is reduced by the power consumption is realized to the solar energy collection unit, and the power consumption is realized by the power consumption is reduced, and the power consumption is reduced by the power consumption of the power consumption is more than the power consumption of the power consumption unit is guaranteed to the power consumption of the solar control unit, and the power consumption is more than the power consumption is reduced, and the power consumption is more can be used to the power consumption is reduced to the power consumption is more than the power consumption to the solar cell to the power station is the power station and the user.
Second embodiment:
on the basis of the first embodiment, please refer to fig. 2, wherein fig. 2 is a schematic diagram of the whole of the second embodiment of the present application. The application provides a campus distributed energy intelligent management and control system based on big data, which further comprises a power generation enhancement module 201, wherein the power generation enhancement module 201 comprises a thermal power generation unit 202, a wind power detection unit 203 and an energy storage unit 204.
For this embodiment, when the wind detection unit 203 detects that the wind direction and the wind condition are insufficient for wind power generation, and at the same time, the solar power generation unit 115 is at night, and when the solar power generation unit 115 cannot work, the thermal power generation unit 202 is started to generate power by adding solid fuel, liquid fuel and gas fuel, and simultaneously store the generated power into the energy storage unit 204 for standby.
Wherein the power generation enhancing module 201 is connected with the power generation module 104. The power generation enhancing module 201 can enhance the power generation amount and enhance the power generation capacity.
Secondly, the thermal power generation unit 202, the wind power detection unit 203 and the energy storage unit 204 are sequentially connected; the thermal power generation unit 202 is configured to generate power by feeding solid fuel, liquid fuel and gas fuel; the wind power detection unit 203 is configured to detect whether wind power is sufficient to start the wind power generation unit 114; the energy storage unit 204 is used for storing generated electric power for use when the power grid is powered off.
When the intelligent management and control system for the park distributed energy based on big data is used, when the wind power detection unit 203 detects that the wind direction and the wind power condition are insufficient for wind power generation, the wind power detection unit is at night, when the solar power generation unit 115 cannot work, the thermal power generation unit 202 is started to generate power by putting solid fuel, liquid fuel and gas fuel, and meanwhile, the generated electric quantity is stored in the energy storage unit 204 for standby, so that the generated energy can be enhanced, and the power generation capacity is improved.
Third embodiment:
the intelligent campus distributed energy management and control system based on big data further comprises an allocation module 301, wherein the allocation module 301 is connected with the energy storage unit 204. The distribution module 301 includes a power storage alarm unit 302, a power limiting unit 303, and a power distribution unit 304, where the power storage alarm unit 302, the power limiting unit 303, and the power distribution unit 304 are sequentially connected; the electricity storage amount alarm unit 302 is configured to send out an alarm when the electricity amount of the energy storage unit 204 is less than 20%, so as to remind a worker to pay attention to power generation; the electricity quantity limiting unit 303 is configured to limit the electricity quantity of each floor user in the park when the electricity quantity is insufficient, thereby saving energy, and restoring the normal power supply level after the electricity quantity is sufficient; the power distribution unit 304 is configured to uniformly distribute power to users on each floor of the park when the power storage capacity is insufficient, and not to distribute power according to the number of devices, and to restore the normal power supply level after the power storage capacity is sufficient.
On the basis of the second embodiment, please refer to fig. 3, wherein fig. 3 is a schematic diagram of the whole of a third embodiment of the present application. The application provides a campus distributed energy intelligent management and control system based on big data, which further comprises an allocation module 301, wherein the allocation module 301 comprises a power storage quantity alarming unit 302, a power limiting unit 303 and a power allocation unit 304.
For this embodiment, the energy storage unit 204 in the garden carries out the electric quantity distribution to each floor user in the garden, guarantees can not take place the outage when having a power failure, works as when the electric quantity of storing of energy storage unit 204 is not enough, through electric quantity distribution unit 304 carries out evenly distributed electric quantity to each floor user in the garden, no longer distributes according to how much equipment, resumes normal power supply level after the electric quantity is sufficient again, simultaneously through electric quantity current limiting unit 303 carries out the electric quantity current limiting to each floor user in the garden.
Wherein the distribution module 301 is connected to the energy storage unit 204. The distribution module 301 may perform balanced and reasonable distribution when the electric quantity is insufficient.
Secondly, the electricity storage amount alarming unit 302, the electricity amount current limiting unit 303 and the electricity amount distributing unit 304 are sequentially connected; the electricity storage amount alarm unit 302 is configured to send out an alarm when the electricity amount of the energy storage unit 204 is less than 20%, so as to remind a worker to pay attention to power generation; the electricity quantity limiting unit 303 is configured to limit the electricity quantity of each floor user in the park when the electricity quantity is insufficient, thereby saving energy, and restoring the normal power supply level after the electricity quantity is sufficient; the power distribution unit 304 is configured to uniformly distribute power to users on each floor of the park when the power storage capacity is insufficient, and not to distribute power according to the number of devices, and to restore the normal power supply level after the power storage capacity is sufficient.
When the intelligent management and control system for the park distributed energy based on big data is used, when a power grid fails, the energy storage unit 204 in the park performs electric quantity distribution on each floor user of the park at the moment, power failure can not occur when the power fails, when the electric quantity stored by the energy storage unit 204 is insufficient, the electric quantity is uniformly distributed on each floor user of the park through the electric quantity distribution unit 304, the power is not distributed according to the quantity of equipment, the normal power supply level is restored after the electric quantity is sufficient, meanwhile, the electric quantity limiting unit 303 performs electric quantity limiting on each floor user of the park, the effect of saving energy is achieved, the normal power supply level is restored again after the electric quantity is sufficient, finally an alarm is sent when the electric quantity of the energy storage unit 204 is less than 20%, and workers are reminded of power generation, so that balanced and reasonable distribution can be performed when the electric quantity is insufficient.
The foregoing disclosure is only illustrative of one or more preferred embodiments of the present application, and it is not intended to limit the scope of the claims hereof, as persons of ordinary skill in the art will understand that all or part of the processes for practicing the embodiments described herein may be practiced with equivalent variations in the claims, which are within the scope of the application.
Claims (7)
1. A campus distributed energy intelligent management and control system based on big data is characterized in that,
the system comprises a monitoring module, a data module, a management and control module and a power generation module, wherein the monitoring module, the data module, the management and control module and the power generation module are sequentially connected;
the monitoring module is used for monitoring the electricity consumption data of users at each floor of the park;
the data module is used for carrying out big data analysis on the monitored electricity consumption data and judging electricity consumption requirements of users on each floor;
the control module is used for limiting and controlling the electricity consumption of users at each floor of the park;
the power generation module is used for generating and storing power and providing power for users on each floor of a park, and the power cannot be cut off when power is cut off.
2. The intelligent management and control system for the distributed energy sources of the campus based on the big data according to claim 1, wherein,
the monitoring module comprises a power consumption acquisition unit and a power consumption recording unit, and the power consumption acquisition unit is connected with the power consumption recording unit;
the electricity consumption acquisition unit is used for acquiring electricity consumption data of users on each floor of the park;
and the electricity consumption recording unit is used for recording the collected electricity consumption data and sending the collected electricity consumption data to the data module for big data analysis.
3. The intelligent management and control system for the distributed energy sources of the campus based on the big data according to claim 2, wherein,
the data module comprises a database and a data analysis unit, and the database is connected with the data analysis unit;
the database is used for receiving the electricity consumption data of a large number of park users;
the data analysis unit is used for carrying out big data analysis according to the working property and the equipment quantity of the park users and then combining the electricity consumption data, accurately judging the electricity consumption requirement of the park users and setting the electricity consumption limit according to the requirement.
4. The intelligent management and control system for the distributed energy sources of the campus based on the big data of claim 3, wherein,
the management and control module comprises a power supply unit, an excess reminding unit, a power stopping unit, a residual electricity inquiring unit and an additional payment unit, wherein the power supply unit, the excess reminding unit, the power stopping unit, the residual electricity inquiring unit and the additional payment unit are sequentially connected;
the power supply unit is used for supplying power according to the requirements of users in the park;
the excess reminding unit is used for sending out reminding when the electricity consumption of the park user is about to be excess;
the power supply stopping unit is used for cutting off power when the electricity consumption of the users in the park exceeds the electricity consumption;
the residual electric quantity inquiry unit is used for the park user to check the residual electric quantity of the park user;
and the additional payment unit is used for enabling the park user to carry out additional payment after excess, so that the power supply is restored again.
5. The intelligent management and control system for large data-based campus distributed energy source according to claim 4, wherein,
the power generation module comprises a wind power generation unit and a solar power generation unit, and the wind power generation unit is connected with the solar power generation unit;
the wind power generation unit is used for generating power through wind power;
the solar power generation unit is used for generating power by utilizing solar energy through the action of the plurality of arranged photovoltaic panels, reducing carbon emission and protecting the environment.
6. The intelligent management and control system for large data-based campus distributed energy source according to claim 5, wherein,
the intelligent management and control system for the park distributed energy based on the big data further comprises a power generation enhancement module, and the power generation enhancement module is connected with the power generation module.
7. The big data based intelligent energy management and control system for a campus, as claimed in claim 6, wherein,
the power generation enhancement module comprises a thermal power generation unit, a wind power detection unit and an energy storage unit, wherein the thermal power generation unit, the wind power detection unit and the energy storage unit are sequentially connected;
the thermal power generation unit is used for generating electricity by throwing solid fuel, liquid fuel and gas fuel;
the wind power detection unit is used for detecting whether wind power is enough to start the wind power generation unit;
the energy storage unit is used for storing generated electric power so as to be used when the power grid is in outage.
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