CN116111621A - Intelligent energy storage adjusting system for resident family - Google Patents
Intelligent energy storage adjusting system for resident family Download PDFInfo
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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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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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
- H02J13/00006—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
- 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
- H02J13/00028—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 involving the use of Internet protocols
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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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/58—The condition being electrical
- H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
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Abstract
The invention provides a resident family oriented intelligent energy storage regulation system for supply and use, which comprises: the Internet of things management center is used for receiving data reported by the equipment; the intelligent device is also used for remotely controlling the device according to the optimal operation parameters of the device and controlling the intelligent device according to scene changes; the system is also used for distributing the proportion and sources of photovoltaic power supply, energy storage power supply and power grid power supply; the system is also used for distributing a current transmission path and transmitting the surplus electric quantity to the energy storage battery equipment or the power grid system on the premise of meeting the energy consumption requirement; the data management center is used for monitoring and multidimensional analysis modeling of the data forwarded by the Internet of things management center, analyzing the equipment operation data through an optimization algorithm, and generating the optimal operation parameters of the equipment and sending the optimal operation parameters to the Internet of things management center. The invention has the advantages that: and the green electricity consumption rate is improved, and the carbon emission is reduced. The photovoltaic power generation utilization rate is optimal, the economic benefit of residual electricity on the internet is maximized, and the energy conservation optimization and the optimal resident living environment are achieved.
Description
Technical Field
The invention belongs to the field of energy supply regulation, and particularly relates to an intelligent energy storage regulation system for residential families.
Background
In a resident family provided with a distributed photovoltaic system, the general photovoltaic power generation can be used for residents, and redundant electric quantity is input into a power grid. The system can monitor generated energy, electricity consumption and internet power, when the electricity consumption of residents is larger than the generated energy, the electricity consumption of the power grid can be used for supplementing residents, if the energy storage system is not provided, the user uses electricity at night mainly for supplying power to the power grid, the use parameters and the electricity consumption condition of the electrical appliances in the user home are not monitored, and the control and the load adjustment cannot be performed.
The electricity analysis in the prior art mainly focuses on regional power supply quantity and electricity consumption, combines regional meteorological data to perform electricity analysis, and does not combine resident household electrical appliance electricity scene, electrical appliance use habit and household environment data to perform comprehensive analysis. And load regulation is mainly performed by increasing power supply demands and cutting off power consumption demands, so that power waste is easily caused or normal use of household appliances is easily influenced, and production and life of residents are easily influenced.
Disclosure of Invention
The invention aims to overcome the defects that the electricity analysis in the prior art mainly focuses on regional power supply quantity and electricity consumption, the electricity analysis is carried out by combining regional meteorological data, the comprehensive analysis is not carried out by combining the electricity scene, the use habit of the electrical appliances and the family environment data of resident household appliances, the load adjustment mainly increases the power supply requirement and cuts off the electricity requirement, and the electricity waste is easily caused or the normal use of the resident household appliances is influenced, and the production and the life of residents are influenced.
In order to achieve the purpose, the invention provides a resident family oriented intelligent energy storage regulation system for supply and use, which is characterized by comprising an internet of things management center and a data management center; wherein,,
the Internet of things management center is used for accessing and managing Internet of things equipment; the device is used for receiving environment data, power generation, power utilization and power storage data reported by equipment and forwarding the data to a data management center; the intelligent device is used for remotely controlling the device according to the optimal operation parameters of the device sent by the data management center and controlling the intelligent device according to scene changes; the system is used for distributing the proportion and sources of photovoltaic power supply, energy storage power supply and power grid power supply; the system is also used for distributing a current transmission path and transmitting redundant photovoltaic electric quantity to the energy storage battery equipment or the power grid system on the premise of meeting the energy consumption requirement;
the data management center is used for monitoring and multidimensional analysis modeling of the data forwarded by the Internet of things management center, analyzing equipment operation data through an optimization algorithm, and generating equipment optimal operation parameters to be sent to the Internet of things management center.
As an improvement of the system, the Internet of things management center receives environmental data and power generation, power consumption and power storage data reported by equipment, and specifically comprises the following steps:
outdoor illumination intensity, temperature and humidity data reported by energy-end low-energy-consumption environment monitoring equipment; indoor illumination intensity, temperature and humidity data;
indoor personnel data reported by the energy-end human body sensor equipment are provided or not;
the method comprises the steps of reporting equipment running state data and electricity load data of an intelligent household appliance with high energy consumption at an energy consumption end; the equipment running state data comprise lighting system switch, lighting system brightness and color temperature data, air conditioning system switch, mode, wind speed and temperature setting data, heating system switch, mode and temperature setting data; the power consumption load data comprise power and power consumption data of each power consumption device;
photovoltaic power generation data reported by energy supply end distributed photovoltaic power generation equipment;
the energy storage battery reported by the energy storage equipment at the energy supply end stores electric quantity data and energy storage power supply data;
and the energy supply end power grid system reports electricity consumption data through the intelligent ammeter.
As an improvement of the system, when new equipment is accessed into the system, the Internet of things management center realizes mapping from equipment entity to virtual by establishing a standard equipment object model.
As an improvement of the system, the Internet of things management center supports establishment of electric energy distribution rules, manages and controls the intelligent ammeter and the power switch, and realizes energy storage and power supply scheduling and power grid power supply scheduling.
As an improvement of the above system, the rules of the scheduling of energy storage power supply and the scheduling of power supply to the power grid are:
firstly, meeting the household electricity demand, and executing one of the following two allocation rules according to the setting when the energy storage equipment is arranged for redundant power generation meeting the household electricity demand:
rule 1: firstly, storing the power generation information into the energy storage equipment, and after the energy storage equipment is full of power, performing residual power on-line by the residual power generation;
rule 2: and (3) performing step adjustment according to the online electricity price, performing residual electricity online in the electricity price peak period, performing residual electricity energy storage in the electricity price valley period, and performing residual electricity online after the energy storage is full.
As an improvement of the system, the data management center monitors and multidimensional analysis and modeling the data forwarded by the Internet of things management center, and the process of analyzing the equipment operation data through an optimization algorithm and generating the optimal operation parameters of the equipment specifically comprises the following steps:
step 1: protocol conversion and cleaning are carried out on the data;
step 2: and (3) carrying out data mining and simulation analysis on the data through an optimization model, establishing a multidimensional curve comprising environment data, equipment operation data and energy consumption data in the same time point of the set error range, and searching for the optimal equipment operation state to obtain the optimal equipment operation parameters.
As an improvement of the above system, the optimization model includes a nonlinear regression algorithm and a trend analysis method.
As an improvement of the above system, the device optimum operation parameters include a device start-stop value, a temperature setting value, a mode setting value, a wind speed setting value, and a brightness setting value.
As an improvement of the above system, the optimal device operation state judging criteria are: firstly, according to national standards GB/T18883-2022 and GB50034, the control equipment adjusts the environmental comfort level, and meets the requirement of proper living experience; and secondly, the energy consumption of the equipment is minimum on the premise of meeting the requirement of proper residence.
Compared with the prior art, the invention has the advantages that:
1. according to the intelligent household intelligent energy storage system, a set of energy optimization and energy storage intelligent allocation method is established in a resident family by utilizing an intelligent household internet of things technology and a big data technology, so that the green electricity consumption rate is improved, and the carbon emission is reduced.
2. According to the invention, on the premise of ensuring normal production and life of residents, comprehensive analysis is carried out on photovoltaic power supply, power storage system storage power, resident household electrical appliance power consumption and household environment data, meanwhile, the intelligent household control technology is combined, the on-off and working modes of the household intelligent electrical appliance are dynamically regulated, the energy consumption is reduced, the photovoltaic power generation utilization rate is optimal, the economic benefit of surfing the Internet with residual power is maximized, energy conservation optimization is achieved, and resident living environment is optimal.
Drawings
FIG. 1 is a schematic diagram of a residential home oriented intelligent regulation system for energy storage and a peripheral support system;
FIG. 2 shows a flow chart of the intelligent regulation system for energy storage for residential home use.
Detailed Description
The technical scheme of the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the intelligent energy storage regulation system for residential home supply comprises an Internet of things management center and a data management center. The photovoltaic power generation equipment, the energy storage battery equipment, the environment monitoring equipment, the household equipment and other external network equipment report photovoltaic power generation data, energy storage battery data, power grid power utilization data, electric appliance control data, environment weather data and the like to the system by utilizing a standard communication protocol. The system adopts the Internet of things technology and the big data technology, a set of energy-saving optimization and energy-storage intelligent allocation method is constructed in the resident family, so that the green electricity consumption rate is improved, and the carbon emission is reduced; through comprehensively analyzing the reported data and combining with an intelligent home control technology, the switch and the working mode of the household intelligent electrical appliance are dynamically adjusted, the energy consumption is reduced, the photovoltaic power generation utilization rate is optimal, and the economic benefit of surfing the Internet with residual electricity is maximized.
The internet of things management center supports a mainstream communication protocol, receives data reported by photovoltaic equipment, energy storage equipment, intelligent ammeter, environment monitoring equipment and intelligent household appliances, and forwards the data to the data management center;
the supported communication protocols include: mqtt protocol, DL/T645 protocol, RS-485, etc.
The received data includes: photovoltaic power generation data, stored electric quantity data of an energy storage battery, power grid power consumption data, household power consumption data, operation data and control use data of household intelligent household appliances, regional weather data and household environment temperature and humidity data.
The internet of things management center remotely controls the equipment according to the optimal operation parameters of the equipment sent by the data management center, and automatically controls the intelligent equipment according to scene changes;
the internet of things management center can distribute the proportion and sources of photovoltaic power supply, energy storage power supply and power grid power supply through the strategy management module, so that the power demand of the energy utilization end is met;
the internet of things management center adopts a control multi-directional intelligent power switch to realize current transmission path distribution, and the photovoltaic power generation capacity is transmitted to the energy storage battery equipment or the power grid system on the premise of meeting the energy consumption requirement, so that the electricity selling economic benefit is generated.
The data management center monitors and multidimensional analysis and modeling the data forwarded by the Internet of things management center, analyzes the equipment operation data through an optimization algorithm, and sends the optimal operation parameters of the equipment to the Internet of things management center.
The optimization algorithm comprises a nonlinear regression algorithm, a trend analysis method and the like.
The system can realize control and adjustment of the energy utilization end and intelligent switching of the energy supply end. The energy supply part mainly comprises a distributed photovoltaic power generation system and mains supply energy supply, and can also be powered by the energy storage battery system for a short time.
As shown in fig. 2, the load dynamic adjustment flow of the system to the household appliances is as follows:
step 1: reporting equipment and environment data to an Internet of things management center by using an energy end, and forwarding the data to the data management center by the Internet of things management center; when equipment is accessed for the first time, the Internet of things management center establishes a standard equipment object model according to the reported data; the field device establishes a mapping from a device entity to a virtual in an internet of things management center, and is connected with related operation and sensing devices;
reporting outdoor illumination intensity, temperature and humidity data to an internet of things management center by using energy-end low-energy-consumption environment monitoring equipment; reporting indoor illumination intensity, temperature and humidity data;
and reporting whether personnel data exist in the room to the Internet of things management center by using the energy-end human body sensor equipment.
The intelligent household appliance with high energy consumption at the energy consumption end reports the running state data and the electricity load data of the equipment to the internet of things management center; the equipment running state data mainly comprise lighting system switch, lighting system brightness and color temperature data, air conditioning system switch, mode, wind speed and temperature setting data, heating system switch, mode and temperature setting data; the power consumption load data mainly comprises power and power consumption data of all the power consumption devices.
The data are reported to a data management center through a mqtt protocol, and mainly report internal and external environment data (temperature, humidity, irradiation intensity and the like), equipment operation data (equipment operation state, equipment mode, wind speed operation value, temperature setting value, wind speed setting value, brightness setting value and the like) and electrical appliance energy consumption data (current electrical appliance power, voltage, current and power consumption).
Step 2: the data management center monitors the data and analyzes and models the data in a multi-dimensional mode, analyzes the optimal operation data of the equipment through an optimization algorithm, and sends the optimal operation parameters of the equipment to the Internet of things management center.
The reported environmental data, equipment operation data and electric appliance energy consumption data are subjected to unified nano tube and multidimensional analysis in a data management center to form an optimal curve of environmental change, equipment parameters and electric energy consumption. And adopting an optimization model to perform data mining, and obtaining the optimal operation parameters of the equipment according to the optimal curve, thereby achieving the purpose of energy saving and optimization.
The data processing process is as follows:
step 2-1, the data management center carries out protocol conversion and data cleaning on the reported data (by setting data cleaning logic, the reported data is processed in a unified standard format, and each device establishes a corresponding relation between time and device operation data);
2-2, carrying out data mining and simulation analysis on the data through an optimization model, and within 10s of left and right errors in the same time point, establishing multidimensional curves (a curve of one running household device) of environment data, device running data, energy consumption data and the like, and searching for the optimal device running state;
drawing multidimensional curves is mainly realized by a control variable method, and an illumination device is used for example:
an illumination device: the method mainly refers to environment data, wherein the environment data is environment brightness, the equipment data is equipment brightness, equipment color temperature and equipment opening quantity, an environment brightness x-axis is established, equipment brightness y-axis (other equipment parameters are kept unchanged), and z-axis is a three-dimensional curve of energy consumption data.
The optimal equipment running state judgment standard is as follows: firstly, the living experience is proper (refer to national standard of indoor air quality (GB/T18883-2022) and building lighting design standard (GB 50034)) and the household appliance is controlled to regulate the environmental comfort; secondly, the energy consumption of the electric appliance is the lowest on the premise of meeting the condition of proper living (taking an illumination device as an example, on the premise of keeping the ambient brightness unchanged, the quantity of the lights and the brightness and color temperature are adjusted so as to obtain a balance point with the lowest energy consumption).
And 2-3, transmitting the unique code of the equipment and the optimal operation parameters (the equipment start-stop value, the temperature setting value, the mode setting value, the wind speed setting value, the brightness setting value and the like) of the equipment to a control system of an internet of things management center, and issuing equipment control instructions through protocols such as mqtt and the like, so that the aim of energy saving and optimization is achieved.
Step 3: the Internet of things management center issues control instructions according to the optimal operation parameters of the equipment, indoor and outdoor environment data and whether personnel data exist or not, and the intelligent household appliance is provided; for example, the control parameters such as the switch and the brightness of a household lighting system, the switch of an air conditioning system, the mode switching, the wind speed adjustment, the temperature setting and the like are adjusted, and the parameters such as the switch of a heating system, the mode switching, the temperature setting and the like are adjusted.
The scheduling process of the system for energy storage power supply and power grid power supply is as follows:
step 1: the energy utilization end and the energy supply end report electricity utilization, generating capacity and energy storage data to the Internet of things management center; and the internet of things management center forwards the data to the data management center.
And the energy supply end distributed photovoltaic power generation equipment reports photovoltaic power generation data to the Internet of things management center.
The energy storage equipment at the energy supply end reports the data of the electric quantity stored by the energy storage battery and the data of energy storage and power supply to the internet of things management center.
And the energy supply end power grid system reports electricity consumption data to the Internet of things management center through the intelligent electric meter.
Step 2: the data management center processes the data, generates control parameters and sends the control parameters to the Internet of things management center.
Step 3: the internet of things management center combines control parameters, and the intelligent power switch is controlled to perform energy storage power supply dispatching and power grid power supply dispatching.
The internet of things management center is used for dispatching energy storage power supply and dispatching power supply to a power grid, so that load adjustment and economic benefit maximization are achieved, power distribution of photovoltaic power generation is adjusted mainly according to reported power load data, and redundant electric quantity is distributed to an energy storage charging link and a redundant electric power surfing link on the premise that energy consumption requirements are met. And a policy management module of the internet of things management center supports establishment of electric energy distribution rules, and management control is realized on internet of things equipment such as intelligent electric meters, power switches and the like.
The distribution principle of power dispatching is realized in an internet of things management center: firstly, the household appliance electricity demand is met, the general photovoltaic power generation is larger than the normal electricity consumption of the household appliance, and when the energy storage equipment exists for the redundant power generation meeting the household electricity demand, two distribution rules exist: 1. firstly, storing the residual electricity into the energy storage equipment, and after the energy storage equipment is full of electricity, enabling the residual electricity to be on line after the residual electricity is generated; 2. and (3) performing step adjustment according to the online electricity price, performing residual electricity online in the electricity price peak period, performing residual electricity energy storage in the electricity price valley period, and performing residual electricity online after the energy storage is full.
The allocation rule of the power dispatching can be set manually in a policy management module of the internet of things management center. (the rule is not set up intelligently, mainly a certain surplus electricity distribution strategy is set up according to the subjective purpose of people), a standard object model is built for the intelligent ammeter, the power switch, the photovoltaic equipment and the energy storage equipment in the data management center, and equipment data access and equipment control issuing can be performed through the mqtt protocol, the DL/T645 protocol, the RS-485 and the like.
The rules comprise automatic switching of household energy, main power supply and auxiliary power supply distribution, the main logic is to prioritize photovoltaic power generation and supply as the main power supply, and the auxiliary logic is to set a master-slave switching rule according to the local peak-valley electricity price rule.
In the rule setting, various switching rules may be set, including threshold switching (electricity consumption is more than several kilowatt hours, electricity price is more than several elements), device abnormality switching (device state is a certain state, photovoltaic power generation is 0, etc.), time switching (time reaches a set value), etc., and also combination relation switching (or logic, and logic) may be set.
For some special situations, such as poor illumination, photovoltaic system faults and the like, the energy consumption requirement can be met by energy storage power supply and power grid power supply.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and are not limiting. Although the present invention has been described in detail with reference to the embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the present invention, which is intended to be covered by the appended claims.
Claims (9)
1. The intelligent energy storage regulation system for residential home supply is characterized by comprising an Internet of things management center and a data management center; wherein,,
the Internet of things management center is used for accessing and managing Internet of things equipment; the device is used for receiving environment data, power generation, power utilization and power storage data reported by equipment and forwarding the data to a data management center; the intelligent device is used for remotely controlling the device according to the optimal operation parameters of the device sent by the data management center and controlling the intelligent device according to scene changes; the system is used for distributing the proportion and sources of photovoltaic power supply, energy storage power supply and power grid power supply; the system is also used for distributing a current transmission path and transmitting redundant photovoltaic electric quantity to the energy storage battery equipment or the power grid system on the premise of meeting the energy consumption requirement;
the data management center is used for monitoring and multidimensional analysis modeling of the data forwarded by the Internet of things management center, analyzing equipment operation data through an optimization algorithm, and generating equipment optimal operation parameters to be sent to the Internet of things management center.
2. The intelligent regulation system for energy storage for residential home according to claim 1, wherein the internet of things management center receives environmental data and power generation, power consumption and power storage data reported by equipment, and specifically comprises:
outdoor illumination intensity, temperature and humidity data reported by energy-end low-energy-consumption environment monitoring equipment; indoor illumination intensity, temperature and humidity data;
indoor personnel data reported by the energy-end human body sensor equipment are provided or not;
the method comprises the steps of reporting equipment running state data and electricity load data of an intelligent household appliance with high energy consumption at an energy consumption end; the equipment running state data comprise lighting system switch, lighting system brightness and color temperature data, air conditioning system switch, mode, wind speed and temperature setting data, heating system switch, mode and temperature setting data; the power consumption load data comprise power and power consumption data of each power consumption device;
photovoltaic power generation data reported by energy supply end distributed photovoltaic power generation equipment;
the energy storage battery reported by the energy storage equipment at the energy supply end stores electric quantity data and energy storage power supply data;
and the energy supply end power grid system reports electricity consumption data through the intelligent ammeter.
3. The intelligent regulation system for energy storage for residential home use according to claim 1, wherein the internet of things management center implements mapping of equipment entities to virtual by establishing a standard equipment object model when new equipment is connected to the system.
4. The intelligent regulation system for energy storage for residential home use according to claim 1, wherein the internet of things management center supports establishment of electric energy distribution rules, management control of intelligent electric meters and power switches, and energy storage power supply dispatching and power grid power supply dispatching are achieved.
5. The intelligent regulation system for energy storage for residential home use of claim 4 wherein the rules for scheduling energy storage and power supply to the grid are:
firstly, meeting the household electricity demand, and executing one of the following two allocation rules according to the setting when the energy storage equipment is arranged for redundant power generation meeting the household electricity demand:
rule 1: firstly, storing the power generation information into the energy storage equipment, and after the energy storage equipment is full of power, performing residual power on-line by the residual power generation;
rule 2: and (3) performing step adjustment according to the online electricity price, performing residual electricity online in the electricity price peak period, performing residual electricity energy storage in the electricity price valley period, and performing residual electricity online after the energy storage is full.
6. The intelligent regulation system for energy storage for residential home use according to claim 1, wherein the data management center monitors and multidimensional analysis and modeling the data forwarded by the internet of things management center, and the process of analyzing the equipment operation data by the optimization algorithm to generate the optimal operation parameters of the equipment specifically comprises the following steps:
step 1: protocol conversion and cleaning are carried out on the data;
step 2: and (3) carrying out data mining and simulation analysis on the data through an optimization model, establishing a multidimensional curve comprising environment data, equipment operation data and energy consumption data in the same time point of the set error range, and searching for the optimal equipment operation state to obtain the optimal equipment operation parameters.
7. The residential home oriented intelligent regulation system of claim 6, wherein the optimization model comprises a nonlinear regression algorithm and a trend analysis method.
8. The intelligent regulation system for residential household-oriented energy storage of claim 6, wherein the optimal operating parameters of the device include a device start-stop value, a temperature setting value, a mode setting value, a wind speed setting value, and a brightness setting value.
9. The intelligent regulation system for energy storage for residential home use of claim 6, wherein the criteria for optimal equipment operating conditions are: firstly, according to national standards GB/T18883-2022 and GB50034, the control equipment adjusts the environmental comfort level, and meets the requirement of proper living experience; and secondly, the energy consumption of the equipment is minimum on the premise of meeting the requirement of proper residence.
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