CN116094006A - Distributed energy cloud management method and system - Google Patents
Distributed energy cloud management method and system Download PDFInfo
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- CN116094006A CN116094006A CN202211690924.XA CN202211690924A CN116094006A CN 116094006 A CN116094006 A CN 116094006A CN 202211690924 A CN202211690924 A CN 202211690924A CN 116094006 A CN116094006 A CN 116094006A
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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
- H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
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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
- H02J13/00016—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 using a wired telecommunication network or a data transmission bus
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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
- H02J13/00022—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 using wireless data transmission
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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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
- H02J2213/00—Indexing scheme relating to details of circuit arrangements for providing remote indication of network conditions of for circuit arrangements for providing remote control of switching means in a power distribution network
- H02J2213/10—Indexing scheme relating to details of circuit arrangements for providing remote indication of network conditions of for circuit arrangements for providing remote control of switching means in a power distribution network using simultaneously two or more different transmission 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
- H02J2300/26—The renewable source being solar energy of photovoltaic origin involving maximum power point tracking control for photovoltaic sources
Abstract
The invention relates to the technical field of new energy, in particular to a distributed energy cloud management method and system. The invention adopts distributed energy storage, peak clipping and valley filling. Besides solar street lamps, solar panels can be built on roofs, sunshades and the like of buildings, energy storage power stations are arranged in partial areas, and distributed energy storage is realized by utilizing energy of charging piles in communities. The method comprises the steps of establishing a new concept and an auxiliary technical means of peak regulation of a user side, controlling part of high-power-consumption household appliances to work in a stepwise manner by using an intelligent socket in a power consumption peak period of an urban power grid, starting a preset part of household appliances to work by using the intelligent socket in a power consumption valley period of the power grid and a district solar power generation peak period, and completing a non-instant power utilization task of part of household appliances before the power consumption peak comes to realize a peak clipping and valley filling function of the auxiliary power grid of the user side.
Description
Technical Field
The invention relates to the technical field of new energy, in particular to a distributed energy cloud management method and system.
Background
The existing photovoltaic energy management system comprises a coupling type photovoltaic and energy storage system and an energy management system based on working condition analysis.
The coupling type photovoltaic and energy storage system is also called an alternating current modified photovoltaic and energy storage system, and the system generally comprises a photovoltaic module, a grid-connected inverter, a lithium battery, an alternating current coupling type energy storage inverter, a smart electric meter, a CT (computed tomography), a power grid, a grid-connected load and an off-grid load. The system can convert the photovoltaic into alternating current through the grid-connected inverter, and then convert the redundant electric quantity into direct current through the alternating current coupling type energy storage inverter to be stored in the battery.
The working logic is as follows: bai Tianguang V power generation firstly supplies load, secondly charges a battery, and finally the redundant electric quantity can be connected in a grid; the battery discharges at night to supply load, and the shortage is complemented by the power grid; when the power grid fails, the lithium battery only supplies power to the off-grid load, and the grid-connected end load cannot be used. In addition, the system also supports the user to set the charging and discharging time by himself so as to meet the electricity demand of the user.
The defects are that:
a 48V system is used by a conventional user energy storage system voltage platform; with the demands of the market for the improvement of the capacity and the efficiency of the user energy storage system, the system efficiency can be improved by more than 10% by adopting a high-voltage platform with more than 200V, and the high-voltage platform is becoming a new choice of the user energy storage system. How to realize the same energy storage system can be applied to a 48V low-voltage system, a high-voltage system with the voltage higher than 200V or other systems with different voltages, and becomes a key problem to be solved by a user energy storage product.
Meanwhile, due to the fact that the quantity of the public charging piles is limited, household charging piles are required to be installed in many communities or individual houses, but because the electric power distributed to each household by urban electric power is fixed, the charging piles are required to be high in electric power, and the requirements of users for normal electricity and charging of electric vehicles cannot be met at the same time.
The energy management system based on the working condition analysis consists of a photovoltaic module, a storage battery, a load and the like, and is interacted with a power grid at the same time, so that a plurality of working conditions exist.
Working logic: the energy management strategy based on the working condition analysis is shown in fig. 1, wherein PPV is photovoltaic power generation amount, PLoad is load consumption amount, and SOC (State of Charge) is battery state of charge. Working condition 1, island operation and photovoltaic power generation; operating condition 2, grid-connected operation and inversion of a grid-side converter; operating condition 3, island operation and battery power supply; and 4, grid-connected operation, and rectification of a grid-side converter.
Switching conditions between working conditions: if the SOC is more than 95%, when the battery is in a basically full-charge state, switching from the photovoltaic power generation of the working condition 1 to the working condition 2, performing grid-connected operation, and surfing the Internet for the surplus electric quantity generated by the photovoltaic. If the photovoltaic power generation amount is smaller than the load consumption amount (PPV is smaller than PLoad), the photovoltaic power generation amount cannot meet the normal use of a user, and the grid-connected operation of the working condition 2 is switched to the island operation of the working condition 3, and the battery supplies power. If the SOC of the battery is less than 5%, and the battery is in a basically non-electric state, the working condition 4 is entered, the power grid supplies power to the load, and the battery is charged at the same time. And if the photovoltaic power generation amount is larger than the load consumption amount (PPV is larger than PLoad), returning to the working condition 1 again, and performing island operation to charge the battery. Thus, the power supply priority is photovoltaic, battery, power grid.
Disadvantages: the storage battery is introduced into the residual internet mode to serve as an energy storage element, so that the photovoltaic power generation system has higher stability. And the light-storage power generation system has economy by selling electric quantity through grid connection. The energy management system lacks flexibility, the economic mode depends on a power grid, unnecessary burden is brought to the power grid, and the power grid is still required to supply power in real time under the condition of insufficient photovoltaic power generation.
In summary, the current traditional user type energy storage lacks an effective information sharing means on one hand, and achieves intelligent control on new energy application and achieves the purposes of energy conservation and emission reduction in the whole society; on the other hand, the traditional user-type energy storage control strategy cannot distribute energy storage according to variable photovoltaics and loads,
the control 5 strategy can only be responded according to the set limit value, and the comfort level of the user can not meet the requirement because the control 5 strategy can not be timely changed according to the specific application environment. Energy management strategy based on working condition analysis for energy
The management system lacks flexibility, the economic mode relies on the power grid, unnecessary burden is brought to the power grid, and the power grid is still required to supply power in real time under the condition of insufficient photovoltaic power generation.
Disclosure of Invention
The invention provides a distributed energy cloud management method and system for solving the problems.
0 in a first aspect, the present invention provides a distributed energy cloud management method, the method comprising:
the monitoring and control of the user energy cloud management system to the user load subsystem, the photovoltaic power generation subsystem, the energy storage configuration subsystem, the charging pile configuration subsystem and the grid-connected control subsystem are realized through the information loop;
all electric equipment and distributed energy storage power supply equipment of an energy storage configuration subsystem are connected in parallel to 5 electric buses, and a grid-connected control subsystem of a user energy cloud management system analyzes the distributed energy storage power supply equipment
The SOC of the energy storage power supply determines the charge and discharge actions of the energy storage configuration subsystem and the conveying relation between the energy storage configuration subsystem and the power grid so as to realize the balance of power supply and demand.
Further, the photovoltaic power generation subsystem uses a distributed photovoltaic panel to collect solar energy, and then
The electric energy after the voltage stabilization treatment is transmitted to the power grid through the combiner box, so that the effective utilization of clean energy is realized, and the photovoltaic power generation subsystem configures an MPPT control strategy (maximum power) on the energy cloud management platform
Point tracking, maximum Power Point Tracking), to maximize energy utilization, and to achieve analytical prediction of photovoltaic historical data.
Further, the user load subsystem mainly collects and uploads power utilization information of the load equipment by means of the intelligent ammeter, the load information is transmitted to the energy cloud management system, the system calculates the load on the next day or in a short time through a load prediction algorithm, and the predicted load data and the predicted photovoltaic data are compared to control the maximum power point of the photovoltaic side in the future.
Further, the energy storage configuration subsystem collects battery information by utilizing the BMS, the collected information is transmitted to the energy cloud management system in real time through the format of the MQTT, and the Charge-discharge action of the energy storage subsystem and the conveying relation between the energy storage subsystem and the power grid are determined by analyzing the SOC (State of Charge) of the battery.
Further, the analyzing the SOC of the battery to determine the charge and discharge actions of the energy storage subsystem and the transportation relationship with the power grid, specifically includes:
peak Gu Tao utilizes surplus electricity to access the network mode, namely analyzes the relation among photovoltaic power generation power, load power and battery power, and combines real-time electricity price to realize peak valley arbitrage mode of the grid-connected control subsystem;
the specific strategy is as follows:
when the generated power is equal to the load power:
if the power grid is low in electricity price, corresponding actions are performed according to the battery capacity:
A1. the battery is lower than the range of the using capacity interval (20% -90%), and the power grid charges the battery;
B1. the battery is in the use capacity range, and the power grid carries out constant current charging on the battery;
C1. the battery is higher than the use capacity range, and the battery does not act;
if the power grid is at a high electricity price, corresponding actions are performed according to the battery capacity:
A2. the battery is lower than the use capacity range, and the power grid does not act;
B2. the battery is in the use capacity range, and the battery is discharged with constant power;
C2. the battery is higher than the use capacity range, and the battery is discharged with constant power;
when the generated power is greater than the load power:
if the power grid is low in electricity price, corresponding actions are performed according to the battery capacity:
A3. when the battery capacity is lower than the use capacity range, firstly carrying out constant-current charging on the battery by the power generation allowance, and delivering the residual electric quantity to a power grid;
B3. if the battery capacity is higher than the use range, the battery does not act, and the power generation allowance is all on the internet.
If the power grid is at a high electricity price, corresponding actions are performed according to the battery capacity:
A4. the battery capacity is in the use capacity range, the power generation allowance is transmitted to the internet, and the battery exceeding capacity setting part is transmitted to the internet;
B4. the battery capacity is lower than the capacity setting part, and all power generation allowance power transmission is connected to the internet.
Furthermore, the charging pile configuration subsystem utilizes the charging pile grid-connected power distribution cabinet to effectively utilize the redundant electric quantity of the electric automobile. The energy cloud management system collects grid-connected power distribution cabinet information and battery allowance information of the electric automobile, and the processing of the redundant electric quantity of the electric automobile is determined by analyzing states of the photovoltaic power generation subsystem, the user load subsystem and the energy storage configuration subsystem.
Further, the grid-connected control strategy of the grid-connected control subsystem control system records the electric energy transmitted by the power grid during power failure.
Further, the analyzing the SOC of the battery to determine the charge and discharge actions of the energy storage subsystem and the conveying relationship with the power grid, specifically further includes:
the power support mode is to use the capacity of the battery as a backup power supply when the power supply of the photovoltaic subsystem is unstable, so that the battery can store electric energy as much as possible for needs at intervals;
the specific strategy is as follows:
when the generated power is equal to the load power:
A5. if the battery capacity is lower than the set maximum capacity, the power grid carries out constant current charging on each battery;
B5. the battery capacity is equal to or greater than a set maximum capacity, and the battery does not operate.
When the generated power is smaller than the load power:
A6. if the battery power is lower than the minimum value, the power grid provides the power of the load with the shortage;
B6. if the battery capacity is in the use capacity range, the power grid carries out constant-current charging on the battery, and meanwhile, the electric quantity requirement of a load side is met;
C6. when the capacity of the battery is larger than the maximum value of the set capacity, the part of the battery exceeding the set capacity is discharged to the load with constant power, and the rest is supplied by the power grid.
Further, the information loop includes a plurality of branches, and one or a mixed communication mode of wired transmission or wireless transmission is adopted.
Further, the distributed energy cloud management method further includes:
the monitoring and control function of the whole energy system is realized by accessing a mobile phone client or a computer to a cloud platform.
In a second aspect, the present invention provides a distributed energy cloud management system, comprising: an information management unit and an electrical management unit;
the information management unit is used for realizing the monitoring and control of the user energy cloud management system on the user load subsystem, the photovoltaic power generation subsystem, the energy storage configuration subsystem, the charging pile configuration subsystem and the grid-connected control subsystem through the information loop;
and the electric management unit is used for connecting all electric equipment and the distributed energy storage power supply equipment of the energy storage configuration subsystem in parallel on one electric bus, and the user energy cloud management system determines the charge and discharge actions of the energy storage configuration subsystem and the conveying relation between the energy storage configuration subsystem and the power grid by analyzing the SOC of the distributed energy storage power supply so as to realize the balance of power supply and demand.
In a third aspect, the present invention provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the distributed energy cloud management method when executing the programs stored in the memory.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a distributed energy cloud management method as described above.
The invention has at least the following beneficial effects:
the invention can be connected with new energy, and is energy-saving and emission-reducing. The solar micro-grid system taking residential areas as units is established, public power (public areas such as street lamps, pavement lamps and lawn lamps) in the residential areas are preferentially used by engineering facilities such as solar roofs, solar walls and solar sun visors, large-scale application of solar energy in the urban distributed energy system is realized, load pressure of urban power grids in electricity utilization peaks is reduced appropriately, and the purposes of energy conservation and emission reduction of the urban power grids in a common mode are achieved through technical means, information sharing and intelligent control.
The invention adopts distributed energy storage, peak clipping and valley filling. Besides solar street lamps, solar panels can be built on roofs, sunshades and the like of buildings, energy storage power stations are arranged in partial areas, and distributed energy storage is realized by utilizing energy of charging piles in communities. The method comprises the steps of establishing a new concept and an auxiliary technical means of peak regulation of a user side, controlling part of high-power-consumption household appliances to work in a stepwise manner by using an intelligent socket in a power consumption peak period of an urban power grid, starting a preset part of household appliances to work by using the intelligent socket in a power consumption valley period of the power grid and a district solar power generation peak period, and completing a non-instant power utilization task of part of household appliances before the power consumption peak comes to realize a peak clipping and valley filling function of the auxiliary power grid of the user side.
The invention adopts energy cloud management and intelligent control. Through wireless and wired two kinds of access methods, with most domestic appliance and electric power information management system, wireless communication system, internet system lug connection, power supply enterprise and user can operate domestic appliance work through remote control or remote control unit, realize people and thing, thing and thing's direct link to each other, promote the automation of electric wire netting system, intelligent management level, promote resident's travelling comfort and convenience. On the basis of meeting the intelligent electricity consumption, the comprehensive energy management of families such as intelligent water consumption, intelligent gas consumption and the like is gradually realized.
The invention adopts the residual internet mode to introduce the battery as the energy storage element, so that the light-storage power generation system has higher stability. And the light-storage power generation system has economy by selling electric quantity through grid connection.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an energy management strategy based on a condition analysis;
FIG. 2 is a flowchart of an embodiment of a management method;
FIG. 3 is a block diagram of a distributed energy cloud management system according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a control strategy according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order for those skilled in the art to better understand the present invention, the principles of the present invention are described below with reference to the accompanying drawings:
the technical scheme of the invention is further described in detail by combining the distributed energy cloud management system structure of fig. 3.
Firstly, the invention comprises an electric loop and an information loop, all electric equipment, distributed power supply and other equipment are connected in parallel on an electric bus, and when load balance is considered, the supply and demand balance of the internal electric quantity is considered; the information loop comprises a plurality of branches, the intelligent ammeter, the combiner box, the battery BMS, the charging pile power distribution cabinet and the like transmit equipment state information to an energy management system on the cloud platform in a communication mode of wired transmission and wireless transmission, control commands are issued by the energy management system to control the whole distributed energy system, and meanwhile, the monitoring and control functions of the whole energy system can be achieved by accessing a mobile phone client or a computer end into the cloud platform.
Secondly, the distributed energy cloud management system is divided into a plurality of subsystems, including a photovoltaic power generation subsystem, a user load subsystem, an energy storage configuration subsystem, a charging pile configuration subsystem and a grid connection control subsystem.
The photovoltaic power generation subsystem collects solar energy by using a distributed photovoltaic panel, and then the electric energy after voltage stabilization treatment is transmitted to a power grid through a junction box, so that the clean energy can be effectively utilized. The photovoltaic power generation subsystem realizes the maximum utilization of energy and the analysis and prediction of photovoltaic historical data by configuring an MPPT control strategy (maximum power point tracking ) on an energy cloud management platform.
The maximum power point tracking (Maximum Power Point Tracking, MPPT) system is an electric system which enables a photovoltaic panel to output more electric energy by adjusting the working state of an electric module, can effectively store direct current emitted by a solar panel in a storage battery, can effectively solve the problems of living and industrial electricity in remote areas and tourist areas which cannot be covered by a conventional power grid, and does not produce environmental pollution.
The user load subsystem mainly collects and uploads the power utilization information of the load equipment by means of the intelligent ammeter, and the power utilization information of the load equipment is acquired by the user load subsystem
The load information is transmitted to an energy cloud management system, the system calculates the load of the next day or 5 short time through a load prediction algorithm, and compares predicted load data with predicted photovoltaic data to obtain the future photovoltaic side
The maximum power point is controlled.
The energy storage configuration subsystem collects battery information by utilizing the BMS, the collected information is transmitted to the energy cloud management system in real time through the format of the MQTT, and the charging and discharging actions of the energy storage subsystem and the relation 0 of transportation between the energy storage subsystem and the power grid are determined by analyzing the SOC (State of Charge) of the battery.
And the charging pile configuration subsystem utilizes the charging pile grid-connected power distribution cabinet to effectively utilize the redundant electric quantity of the electric automobile. The energy cloud management system collects grid-connected power distribution cabinet information and battery allowance information of the electric automobile, and the processing of the redundant electric quantity of the electric automobile is determined by analyzing states of the photovoltaic power generation subsystem, the user load subsystem and the energy storage configuration subsystem.
Residual electricity networking strategy of grid-connected control subsystem control system and recording power grid transmission during power failure
Electric energy.
As shown in fig. 4, the energy cloud management system mainly includes four aspects of functions: 1. subsystem interface display; 2. analyzing and processing data; 3. a control strategy; 4. stability of the system.
On a user side, load data are collected through an intelligent ammeter and uploaded to a cloud management system, and a photovoltaic subsystem 0, a charging pile subsystem and an energy storage system are implemented through corresponding control strategies which are set in a converter
The data acquisition and control is now performed. After the data of each subsystem is uploaded to the cloud management system, the energy cloud management system realizes the switching of different functions according to different control strategies, and a user can set according to different conditions or control the whole system according to the default control strategy of the system.
And the SOC of the battery is analyzed to determine the charge and discharge actions of the energy storage subsystem and the conveying relation between the energy storage subsystem and the power grid, namely a control strategy, including a peak valley brix residual electricity network surfing mode and a power support mode.
Peak Gu Tao utilizes surplus electricity to access the network mode, namely analyzes the relation among photovoltaic power generation power, load power and battery power, and combines real-time electricity price to realize peak valley arbitrage mode of the grid-connected control subsystem;
the specific strategy is as follows:
when the generated power is equal to the load power:
if the power grid is low in electricity price, corresponding actions are performed according to the battery capacity:
A1. the battery is lower than the range of the using capacity interval (20% -90%), and the power grid charges the battery;
B1. the battery is in the use capacity range, and the power grid carries out constant current charging on the battery;
C1. the battery is higher than the use capacity range, and the battery does not act;
if the power grid is at a high electricity price, corresponding actions are performed according to the battery capacity:
A2. the battery is lower than the use capacity range, and the power grid does not act;
B2. the battery is in the use capacity range, and the battery is discharged with constant power;
C2. the battery is higher than the use capacity range, and the battery is discharged with constant power;
when the generated power is greater than the load power:
if the power grid is low in electricity price, corresponding actions are performed according to the battery capacity:
A3. when the battery capacity is lower than the use capacity range, firstly carrying out constant-current charging on the battery by the power generation allowance, and delivering the residual electric quantity to a power grid;
B3. if the battery capacity is higher than the use range, the battery does not act, and the power generation allowance is all on the internet.
If the power grid is at a high electricity price, corresponding actions are performed according to the battery capacity:
A4. the battery capacity is in the use capacity range, the power generation allowance is transmitted to the internet, and the battery exceeding capacity setting part is transmitted to the internet;
B4. the battery capacity is lower than the capacity setting part, and all power generation allowance power transmission is connected to the internet.
The power support mode is to use the capacity of the battery as a backup power supply when the power supply of the photovoltaic subsystem is unstable, so that the battery can store electric energy as much as possible for needs at intervals;
the specific strategy is as follows:
when the generated power is equal to the load power:
A5. if the battery capacity is lower than the set maximum capacity, the power grid carries out constant current charging on each battery;
B5. the battery capacity is equal to or greater than a set maximum capacity, and the battery does not operate.
When the generated power is smaller than the load power:
A6. if the battery power is lower than the minimum value, the power grid provides the power of the load with the shortage;
B6. if the battery capacity is in the use capacity range, the power grid carries out constant-current charging on the battery, and meanwhile, the electric quantity requirement of a load side is met;
C6. when the capacity of the battery is larger than the maximum value of the set capacity, the part of the battery exceeding the set capacity is discharged to the load with constant power, and the rest is supplied by the power grid.
The technical scheme of the invention has the beneficial effects that:
1. household total electricity consumption meter
The intelligent ammeter has the function of a home gateway, and can meet the requirement of a power supply department for analyzing the household user electricity metering. The home gateway can directly send the electricity consumption data to the data center, and meanwhile, the data center can directly provide a data interface for a power grid company so as to conveniently call the home electricity consumption data.
2. Household single-electric appliance electricity consumption meter
Through intelligent electric energy user management system, make resident's family can real-time, comprehensive understanding self power consumption's detailed information, effectively utilize and control domestic appliance's in the ordinary family live time and use frequency, furthest utilizes the surplus electric power of electric wire netting company and the effective power generation electric energy of urban distributed solar photovoltaic system, furthest orderly control resident's district and family's electric energy use when electric wire netting company power consumption peak, the load pressure of appropriate amount reduction urban electric wire netting when power consumption peak reaches the purpose of energy saving and emission reduction of whole society joint participation through technical means, information sharing and intelligent control.
3. Household load control
The household electric equipment is classified and managed, when a power gap occurs in a peak of power consumption in summer, the household basic power consumption can be ensured in a mode of limiting the total amount of household power consumption, the power supply of unnecessary electric equipment can be automatically cut off in the peak of power consumption, the household basic power consumption can be ensured by limiting the unnecessary electric equipment in the household, the defect caused by switching-off and power limiting can be effectively overcome in a power limiting mode, and the household electric equipment control of household demands is truly realized.
4. Remote control of household appliances
With the wide application of the internet of things and the mobile internet, the demand of residents for remote control of household appliances is correspondingly increased. The user can utilize the intelligent terminal equipment to give an enabling and closing command to a certain electric appliance through the remote control instruction information of the data center or the home gateway, and the information of the working state of the certain electric appliance is checked in real time.
5. Peak-to-valley power management and ladder power management
The method comprises the steps of establishing a new concept and an auxiliary technical means of peak regulation of a user side, controlling part of high-power-consumption household appliances to work in a staged mode by using an intelligent socket when the urban power grid is in a peak power consumption state, starting a preset part of household appliances to work through the intelligent socket in a power grid power consumption low-valley interval and a district solar power generation peak period, completing a non-instant power utilization task of part of household appliances before the power consumption peak comes, and realizing a peak clipping and valley filling function of the auxiliary power grid of the user side. At present, families are passively used for receiving peak-valley electricity, users have no option, and the feedback function is also not provided during use. The data center is provided with a peak-valley electricity management module, and when the peak-valley electricity management module receives information of peak-valley electricity load control, the home gateway in the relevant area is informed of closing a relay by a part of intelligent sockets according to the preset electricity utilization priority sequence of the home electric appliances, and the operation of a part of electric appliances is temporarily stopped. When the data center receives the valley electricity information, the home gateway in the relevant area is informed of opening a relay by a part of intelligent sockets according to the electricity utilization request of the home electric appliance reserved in advance, and a part of electric appliances are started to work.
6. Household electricity analysis
By utilizing the historical electricity consumption of the user family collected by the data center and utilizing the data mining and the strong cloud platform computing power, the data center can provide: analyzing the power consumption ratio of various household appliances of each household; analyzing the proportion of the electricity utilization time of various household appliances of each household; analyzing the electricity utilization duty ratio of peak electricity and valley electricity of each household; analyzing the power utilization duty ratio of each household network power and each district power; analyzing electricity consumption modes of different families; analyzing the power consumption ratio of different electric appliances; and analyzing the power consumption of the same electric appliance with different brands.
The technical key point of the invention is that through the use of the intelligent ammeter, the battery BMS and the charging pile power distribution cabinet, data such as the photovoltaic power generation subsystem, the user load subsystem, the energy storage configuration subsystem, the charging pile configuration subsystem and the grid-connected control subsystem are collected on the energy cloud management platform, the control strategy on the management platform is regulated, the remote control of the household energy consumption condition is realized, the information including load electricity consumption information analysis and prediction, photovoltaic power generation and prediction, charging pile electricity consumption analysis, battery state and the like is included, and the operation states of the system are different under different conditions, so that redundant electric energy can be grid-connected, and benefits are generated. In addition, the energy use condition of the users in the area can be combined by using the cloud platform energy management, and the energy exchange between the users in the area and the power grid can be completed better.
Although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (13)
1. A method of distributed energy cloud management, the method comprising:
the monitoring and control of the user energy cloud management system to the user load subsystem, the photovoltaic power generation subsystem, the energy storage configuration subsystem, the charging pile configuration subsystem and the grid-connected control subsystem are realized through the information loop;
all electric equipment and distributed energy storage power supply equipment of the energy storage configuration subsystem are connected in parallel to an electric bus, and a grid-connected control subsystem of the user energy cloud management system determines charge and discharge actions of the energy storage configuration subsystem and a conveying relation between the energy storage configuration subsystem and a power grid through analysis of the SOC of the distributed energy storage power supply so as to realize power supply and demand balance.
2. The method of claim 1, wherein,
the photovoltaic power generation subsystem collects solar energy by using a distributed photovoltaic panel, then the electric energy after voltage stabilization treatment is transmitted to a power grid through a combiner box, effective utilization of clean energy is achieved, and the photovoltaic power generation subsystem achieves maximum utilization of the energy and analysis and prediction of photovoltaic historical data by configuring an MPPT control strategy (maximum power point tracking ) on an energy cloud management platform.
3. The method of claim 1, wherein,
the user load subsystem mainly collects and uploads power information of load equipment by means of the intelligent ammeter, the load information is transmitted to the energy cloud management system, the system calculates the load on the next day or in a short time through a load prediction algorithm, and the predicted load data and the predicted photovoltaic data are compared to control the maximum power point of the photovoltaic side in the future.
4. The method of claim 1, wherein,
the energy storage configuration subsystem collects battery information by utilizing the BMS, the collected information is transmitted to the energy cloud management system in real time through the format of the MQTT, and the charge-discharge action of the energy storage subsystem and the conveying relation between the energy storage subsystem and the power grid are determined by analyzing the SOC (State of charge) of the battery.
5. The method of claim 1, wherein,
the method for analyzing the SOC of the battery to determine the charge and discharge actions of the energy storage subsystem and the conveying relationship with the power grid comprises the following steps:
peak Gu Tao utilizes surplus electricity to access the network mode, namely analyzes the relation among photovoltaic power generation power, load power and battery power, and combines real-time electricity price to realize peak valley arbitrage mode of the grid-connected control subsystem;
the specific strategy is as follows:
when the generated power is equal to the load power:
if the power grid is low in electricity price, corresponding actions are performed according to the battery capacity:
A1. the battery is lower than the range of the using capacity interval (20% -90%), and the power grid charges the battery;
B1. the battery is in the use capacity range, and the power grid carries out constant current charging on the battery;
C1. the battery is higher than the use capacity range, and the battery does not act;
if the power grid is at a high electricity price, corresponding actions are performed according to the battery capacity:
A2. the battery is lower than the use capacity range, and the power grid does not act;
B2. the battery is in the use capacity range, and the battery is discharged with constant power;
C2. the battery is higher than the use capacity range, and the battery is discharged with constant power;
when the generated power is greater than the load power:
if the power grid is low in electricity price, corresponding actions are performed according to the battery capacity:
A3. when the battery capacity is lower than the use capacity range, firstly carrying out constant-current charging on the battery by the power generation allowance, and delivering the residual electric quantity to a power grid;
B3. if the battery capacity is higher than the use range, the battery does not act, and the power generation allowance is all on the internet.
If the power grid is at a high electricity price, corresponding actions are performed according to the battery capacity:
A4. the battery capacity is in the use capacity range, the power generation allowance is transmitted to the internet, and the battery exceeding capacity setting part is transmitted to the internet;
B4. the battery capacity is lower than the capacity setting part, and all power generation allowance power transmission is connected to the internet.
6. The method of claim 1, wherein,
and the charging pile configuration subsystem utilizes the charging pile grid-connected power distribution cabinet to effectively utilize the redundant electric quantity of the electric automobile. The energy cloud management system collects grid-connected power distribution cabinet information and battery allowance information of the electric automobile, and the processing of the redundant electric quantity of the electric automobile is determined by analyzing states of the photovoltaic power generation subsystem, the user load subsystem and the energy storage configuration subsystem.
7. The method of claim 1, wherein,
and the grid-connected control subsystem controls a grid-connected control strategy of the system and records the electric energy transmitted by the power grid during power failure.
8. The method of claim 1, wherein,
the method for analyzing the SOC of the battery to determine the charge and discharge actions of the energy storage subsystem and the conveying relationship with the power grid, specifically further comprises:
the power support mode is to use the capacity of the battery as a backup power supply when the power supply of the photovoltaic subsystem is unstable, so that the battery can store electric energy as much as possible for needs at intervals;
the specific strategy is as follows:
when the generated power is equal to the load power:
A5. if the battery capacity is lower than the set maximum capacity, the power grid carries out constant current charging on each battery;
B5. the battery capacity is equal to or greater than a set maximum capacity, and the battery does not operate.
When the generated power is smaller than the load power:
A6. if the battery power is lower than the minimum value, the power grid provides the power of the load with the shortage;
B6. if the battery capacity is in the use capacity range, the power grid carries out constant-current charging on the battery, and meanwhile, the electric quantity requirement of a load side is met;
C6. when the capacity of the battery is larger than the maximum value of the set capacity, the part of the battery exceeding the set capacity is discharged to the load with constant power, and the rest is supplied by the power grid.
9. The method of claim 1, wherein,
the information loop comprises a plurality of branches, and one or a mixed communication mode of wired transmission or wireless transmission is adopted.
10. The method of claim 1, wherein,
the distributed energy cloud management method further comprises the following steps:
the monitoring and control function of the whole energy system is realized by accessing a mobile phone client or a computer to a cloud platform.
11. A distributed energy cloud management system, comprising: an information management unit and an electrical management unit;
the information management unit is used for realizing the monitoring and control of the user energy cloud management system on the user load subsystem, the photovoltaic power generation subsystem, the energy storage configuration subsystem, the charging pile configuration subsystem and the grid-connected control subsystem through the information loop;
and the electric management unit is used for connecting all electric equipment and the distributed energy storage power supply equipment of the energy storage configuration subsystem in parallel on one electric bus, and the user energy cloud management system determines the charge and discharge actions of the energy storage configuration subsystem and the conveying relation between the energy storage configuration subsystem and the power grid by analyzing the SOC of the distributed energy storage power supply so as to realize the balance of power supply and demand.
12. The electronic equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing a distributed energy cloud management method according to any one of claims 1 to 10 when executing a program stored on a memory.
13. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements a distributed energy cloud management method according to any of claims 1 to 10.
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| CN116995760B (en) * | 2023-05-18 | 2024-01-23 | 惠州市盛微电子有限公司 | Household energy storage system charging method |
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