CN117639034A - Station area type energy storage resource interaction system - Google Patents
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Abstract
The invention discloses a resource interaction system for distributed energy storage of a platform region, which comprises an operation state analysis layer and a scheduling policy management layer; the running state analysis layer comprises a real-time acquisition monitoring module, an alarm management module, a data statistics analysis module, an energy storage 3D model and a regional electricity utilization characteristic analysis module; the scheduling policy management layer comprises an operation mode management module, an operation policy management module, a scheduling policy management module and a coordination interaction management module, and the scheduling policy management layer collects operation parameter data of flexible resources stored in the area, operation data and alarm data of the areas in the area and analyzes big data by the operation state analysis layer and the scheduling policy management layer to establish an area electricity utilization characteristic portrait. The system starts from the safe and reliable operation of the distributed new energy science and the distribution network, comprises two functional modules of operation state analysis and scheduling policy management, and effectively improves the power utilization reliability and the power supply service capability of the platform region.
Description
Technical Field
The invention relates to the technical field of information technology, in particular to a resource interaction system for distributed energy storage of a platform region.
Background
The distributed energy storage and other devices can be deployed at key nodes between power distribution and electric equipment, so that the distributed energy storage and other devices can play roles in peak clipping, valley filling and smooth load curve in the running of a power grid system, meanwhile, the flexible power generation and consumption requirements of a distributed power station can be met, the running stability of the power grid can be improved, and system interfaces such as the dispatching with a power grid company can be opened through a software centralized control platform, so that the aggregation effect can meet the dispatching requirements of the power grid in a special period.
Defects of the prior art: 1. the fluctuation and intermittent new energy grid connection bring adverse effects to the aspects of power grid from the aspects of regulation and control operation, safety control and the like, and the effective utilization of clean energy is greatly limited. Meanwhile, as the urban and rural electrification level is continuously improved, the distribution network load is continuously increased, so that the problems of heavy overload, voltage out-of-limit, three-phase unbalance, low power factor and the like of the distribution transformer in the low-voltage distribution transformer area are increasingly outstanding, and the electricity utilization service level of users is directly influenced.
The traditional mode is to install a reactive power compensation device, a voltage regulating device or a balancing device, and the like, and the method can only solve the problem of single electric energy quality. Aiming at the guarantee of the power supply reliability of a low-voltage distribution transformer area, the traditional mode increases the power supply capacity margin through the transformer area upgrading expansion or newly-built transformer area, but the implementation period of the mode is long, and the problems of low power asset utilization rate, low power grid investment benefit and the like are easily caused.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a resource interaction system for distributed energy storage of a platform region, which starts from the scientific and orderly planning of distributed new energy and the safe and reliable operation of a power distribution network, comprises two functional modules of operation state analysis and scheduling strategy management, and effectively improves the electricity reliability and the power supply service capability of the platform region.
A station area type energy storage resource interaction system comprises an operation state analysis layer and a scheduling policy management layer; the running state analysis layer comprises a real-time acquisition monitoring module, an alarm management module, a data statistics analysis module, an energy storage 3D model and a regional electricity utilization characteristic analysis module; the scheduling policy management layer comprises an operation mode management module, an operation policy management module, a scheduling policy management module and a coordination interaction management module, and the scheduling policy management layer collects operation parameter data of flexible resources stored in the area, operation data and alarm data of the areas in the area and analyzes big data by the operation state analysis layer and the scheduling policy management layer to establish an area electricity utilization characteristic portrait.
Preferably, the real-time acquisition monitoring module comprises the following units:
A. BMS data display analysis unit: the EMS collects data of the BMS according to the communication protocol between the BMS and the EMS, and the specific data are as follows: the operation and protection state, the total voltage of each path of battery, the voltage of a single battery, the temperature of all temperature points, the average temperature, the highest/lowest single voltage, the highest/lowest temperature of the temperature points, the charge and discharge current, the battery pack SOC, the data of the battery pack SOH, the chargeable and dischargeable amount of each path of battery, the upper/lower limit of the charge and discharge voltage of the BMS, the maximum charging current and the maximum charging power;
B. PCS data shows analysis unit: the EMS collects the data of the PCS according to the communication protocol of the PCS and the EMS, and the specific data are as follows: voltage, current, power on the dc side; ac side active power, reactive power, three-phase voltage, three-phase current frequency, power factor, running state, conversion efficiency, alarm and common information of fault information;
C. EMS data show analysis unit: temperature and humidity data sent by a temperature/humidity sensor are acquired through RS485, temperature/humidity/smoke sensing data of points are acquired, and display analysis is carried out;
D. load data presentation analysis unit: the curve data comprises PCS, load power, stored energy power and real-time power, the sampling interval is 5min, and the front end interface displays a real-time curve before 24 h.
Preferably, the alarm management module comprises the following units:
A. temperature/humidity alarm unit: when the temperature of the acquired temperature point reaches the upper limit, the EMS displays an alarm, uploads the alarm state to the cloud end and the mobile phone end, and issues a command to the PCS so as to disconnect running equipment; when the acquired humidity reaches 95%, the EMS displays an alarm, and the alarm state is uploaded to the cloud end and the mobile phone end;
B. inverter PCS alarm unit: when PCS equipment fails to give an alarm, the EMS displays the alarm, and the alarm state is uploaded to a cloud end and a mobile phone end, so that the equipment is automatically stopped;
C. communication acquisition abnormal fault alarm unit: the PCS/BMS of the communication main equipment collects and interrupts the abnormity, namely when the interrupt time Tmining is more than 10S, abnormal alarms are displayed on the interface, and when the communication is recovered to be normal, the alarms are automatically released;
D. BMS equipment fault alarm unit: when the BMS equipment fails to give an alarm, the EMS displays the alarm, and the alarm state is uploaded to the cloud end and the mobile phone end, and the EMS links the alarm event to schedule the charging and discharging actions of the energy storage system in real time.
Preferably, the data statistics analysis module comprises the following units:
A. and (3) an electric quantity statistics analysis unit: counting the total electricity consumption of an energy storage side or a load side;
B. and (3) electric charge statistical analysis: counting the total electricity charge of the energy storage side or the load side, and calculating according to the strategy electricity price setting;
C. and the comprehensive statistical analysis unit is used for: counting the peak, flat and valley time period electricity charge statistics, the electricity charge duty ratio and the electricity consumption; counting peak flat valley electric quantity and electric charge by using the comprehensive icon; counting peak flat valley electricity utilization ratio;
D. revenue statistics analysis unit: and counting the power utilization duty ratio after energy storage and saving the power charge data.
Preferably, when the energy storage 3D model is constructed, the electricity utilization characteristic image of each region is analyzed according to the energy utilization statistical analysis of the load side and the analysis of the monitoring point of the load side; and displaying the electricity consumption condition of each area in a thermal map mode, and counting the heavy overload information of each power supply company in a list mode.
Preferably, the operation mode management module supports automatic and manual switching functions of the grid-connected mode, and the Web interface provides an operation interface.
Preferably, the operation policy management module includes the following management policies:
A. spike valley period settings: setting peak-to-valley time periods, setting a plurality of time periods in one time period, and providing energy storage peak regulation control basis;
B. peak valley electricity price setting: setting peak-to-valley electricity prices, and setting an electricity price for each section for calculating energy storage peak regulation income calculation.
1. A station-specific energy-storage resource-interactive system according to claim 1, characterized in that: the scheduling policy management module comprises the following scheduling policies:
A. peak clipping and valley flattening strategies: performing control strategy customization setting according to the peak valley period setting of strategy period China, wherein the operation type is charging or discharging;
B. and (3) self-defining a charging and discharging strategy: the energy storage peak shaving is controlled according to a mode of single time, time circulation and week circulation in a single day;
C. load side policy: and carrying out peak regulation strategy custom control on the load side, and controlling through intelligent micro-breaking.
Preferably, the coordination interaction management module performs policy setting on photovoltaic power generation by combining the energy consumption conditions of photovoltaic power generation and loads, and settable items include: the self-power-consumption proportion is set, the photovoltaic energy storage equipment is connected to the self-power-consumption proportion, the platform directly supplies the photovoltaic power to the load side according to the set strategy or is connected to the designated energy storage equipment to store, and then the power is switched on line or the strategy is set to perform timing adjustment or the power is set according to the current and voltage parameters.
The invention has the advantages and technical effects that:
the invention relates to a station area distributed energy storage resource interaction system
1. Compared with the traditional mode, the energy storage unit combines the power electronic technology, can simultaneously meet various application requirements such as voltage out-of-limit control, three-phase imbalance management, power factor adjustment and the like, can also smooth the fluctuation of the power generated by the distributed new energy, and reduces the influence of the access of the distributed new energy on the power quality of the power supply of the station area. In the aspect of improving the power supply reliability, the energy storage system can play a role in peak clipping and valley filling, the load rate of the distribution transformer in a peak period is reduced, the safety operation risk of the distribution transformer is reduced, meanwhile, the energy storage system can also play a role of a standby power supply, the power failure time of a platform area is reduced, and the power utilization reliability and the power supply service capability of the platform area are improved.
2. Centralized dispatching of distribution network energy storage devices is achieved through the platform region distributed energy storage resource interaction system, toughness of the distribution network is improved, the problems of volatility, randomness, low inertia and the like caused by large-scale development of distributed photovoltaics and charging stations are solved, the requirements of decision analysis such as platform region flexible control, risk intelligent identification, main distribution cooperative prevention and control, new energy planning assistance and the like are met, efficient utilization of energy storage resources and optimization and improvement of power supply quality of the distribution network are promoted, and power supply service level and user satisfaction are promoted.
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FIG. 1 is a schematic diagram of data interaction of the present invention;
FIG. 2 is a block diagram of an application architecture of the present invention;
fig. 3 is a diagram of a data support module frame in the system of the present invention.
Detailed Description
For a further understanding of the nature, features, and efficacy of the present invention, the following examples are set forth to illustrate, but are not limited to, the invention. The present embodiments are to be considered as illustrative and not restrictive, and the scope of the invention is not to be limited thereto.
The invention relates to a station area type energy storage resource interaction system which is used for carrying out distribution network data interaction with a power grid system, can be regarded as high-level application expansion of the power grid related system, mainly plays a role in active distribution network operation management, global optimization operation decision and auxiliary distribution network regulation and control according to the property of access information, and further realizes safe and reliable operation of a power distribution network and access management and complete consumption of a distributed power supply. Please refer to fig. 1.
The distributed power supply, the power grid equipment, the distributed energy storage, the flexible load equipment state data and the operation data are sent to the decision layer from bottom to top through the control layer equipment, through the centralized decision of the decision layer, the optimization target and the control command are sent to the equipment layer through the control equipment, the multistage layered digestion, the digestion mode switching, the energy supply and storage capacity index operation, the multi-time-scale operation control and the like of the intermittent energy source are completed, the digestion capacity of the power distribution network to the renewable energy source is effectively improved, the peak-valley difference of the power grid is reduced, the equipment utilization rate is improved, the power distribution network loss is reduced and the like, and the safe and reliable operation level and the economical efficiency of the power grid are improved.
Energy storage running state research: collecting operation parameter data of flexible resources such as energy storage in an area, operation data of a platform area in the area and alarm data, analyzing big data, and establishing an area electricity utilization characteristic portrait; panoramic monitoring is achieved based on the map, the relative position and the running state of the equipment are displayed in real time, 3D model construction and display analysis are carried out, and the health state of the energy storage system is estimated. Please refer to fig. 2.
1. Distributed energy storage running state analysis module
(1) Real-time acquisition and monitoring
(1) BMS data presentation analysis
The EMS collects data of the BMS according to the communication protocol between the BMS and the EMS, and the specific data are as follows: the operation and protection state, the total voltage of each battery, the single battery voltage, the temperature of all temperature points, the average temperature, the highest/lowest single voltage, the highest/lowest temperature of the temperature points, the charge and discharge current, the battery pack SOC, the data of the battery pack SOH, the chargeable and dischargeable quantity of each battery, the upper/lower limit of the charge and discharge voltage of the BMS, the maximum charging current and the maximum charging power.
(2) PCS data presentation analysis
The EMS collects the data of the PCS according to the communication protocol of the PCS and the EMS, and the specific data are as follows: voltage, current, power on the dc side; ac side active power, reactive power, three-phase voltage, three-phase current frequency, power factor, running state, conversion efficiency, alarm and fault information.
(3) EMS data presentation analysis
Temperature and humidity data sent by a temperature/humidity sensor are acquired through RS485, and temperature/humidity/smoke sensing data of points are acquired and displayed and analyzed.
(4) Load data presentation analysis
The curve data comprises PCS, load power, stored energy power and real-time power, the sampling interval is 5min, and the front end interface displays a real-time curve before 24 h.
(2) Alarm management
(1) Temperature/humidity alarm
When the temperature of the acquired temperature point reaches the upper limit, the EMS displays an alarm, uploads the alarm state to the cloud end and the mobile phone end, and issues a command to the PCS so as to disconnect running equipment; when the acquired humidity reaches 95%, the EMS displays an alarm, and the alarm state is uploaded to the cloud end and the mobile phone end.
(2) Inverter PCS alert
When the PCS equipment has fault alarm, the EMS displays the alarm, and the alarm state is uploaded to the cloud end and the mobile phone end, so that the equipment is automatically stopped.
(3) Communication acquisition anomaly fault alert
The communication master device (PCS/BMS) collects interrupt abnormality, namely when the interrupt time Tmining is more than 10S, an abnormal alarm is displayed on an interface, and when the communication is recovered to be normal, the alarm is automatically released.
(4) BMS device fault alert
When the BMS equipment fails to give an alarm, the EMS displays the alarm, and the alarm state is uploaded to the cloud end and the mobile phone end, and the EMS links the alarm event to schedule the charging and discharging actions of the energy storage system in real time.
(3) Statistical analysis of data
(1) Electric quantity statistical analysis
And counting the total electricity consumption of the energy storage side or the load side.
(2) Electricity charge statistical analysis
And counting the total electricity charge of the energy storage side or the load side (calculated according to the strategic electricity price setting).
(3) Comprehensive statistical analysis
Counting the peak, flat and valley time period electricity charge statistics, the electricity charge duty ratio, the electricity consumption and the like;
the comprehensive icon counts peak electricity consumption and electricity charge (time, day, month and year);
and counting the peak-valley electricity utilization ratio.
(4) Revenue statistics analysis
And counting the power utilization duty ratio after energy storage and saving the power charge data.
(4) Energy storage 3D model
3D modeling and running state analysis are carried out on the parts such as the energy storage battery compartment, the converter compartment, the confluence compartment, the intelligent main control compartment, the transformer, the SVG equipment, the monitoring compartment and the like; the converter cabin comprises a PCS converter and a converter control cabinet, relay protection devices, communication equipment and the like are placed in the intelligent main control cabin, information collection and summarization of the total station are responsible for connection with a dispatching center, voltage class conversion is carried out on a bus and a power grid side of the transformer responsibility energy storage power station, SVG equipment is reactive compensation equipment and used for improving electric energy quality, and the monitoring cabin is a monitoring center for mastering main operation parameters of a system by staff in the station and comprises a monitoring background, monitoring alarm information, states of all switches in the station and the like.
(5) Electrical characteristic image study for region
And analyzing the electricity utilization characteristic image of each area according to the energy utilization statistical analysis of the load side and the analysis of the monitoring point of the load side. And displaying the electricity consumption condition of each area in a thermal map mode, and counting the heavy overload information of each power supply company in a list mode.
And (3) research on centralized control scheduling strategies of the distributed energy storage devices: according to the user service characteristics and the operation data of the access test point regional power grid, the operation data of the configured distributed photovoltaic system and the energy storage system are fused, and the power distribution dispatching response function of the energy storage device and the active dispatching capability of the test point regional power grid are realized; the centralized dispatching function of the distributed distribution network energy storage device is developed within the test point range, the dispatching command is responded in real time, in-situ mode or remote mode work is executed, the large-scale energy storage equipment is fed or consumed simultaneously, friendly interaction between the distributed energy sources of the distribution network and the high-power electricity loads and the power grid is achieved, the automatic regulation and control of the equipment state and the cooperative interaction requirement of 'source network charge storage' in the area are met, and the novel power system construction is supported. Please refer to fig. 2.
2. Distributed energy storage operation scheduling policy module
(1) Run mode management
The automatic and manual switching function of the grid-connected mode can be supported, and the Web interface provides an operation interface;
(2) Operational policy settings
(1) Peak valley period setting
And setting peak-to-valley time periods, wherein one time period can be provided with a plurality of time periods, and the time periods are provided for energy storage peak regulation control basis.
(2) Peak valley price setting
And setting peak-to-valley electricity prices, wherein each section can be provided with one electricity price for calculating energy storage peak regulation income calculation.
(3) Adjusting policy settings
(1) Peak clipping and valley flattening strategy
And carrying out control strategy customization setting according to the peak valley period setting of strategy period China, wherein the operable type is charging or discharging.
(2) Custom charge-discharge strategy
And controlling the energy storage peak shaving according to a mode of single time, time cycle and week cycle.
(3) Load side policy
And the peak shaving strategy custom control is carried out on the load side, and the control can be carried out through intelligent micro-breaking.
(4) Coordinated interactive management
And carrying out strategy setting on the photovoltaic power generation by combining the power consumption conditions of the photovoltaic power generation and the load, wherein settable items comprise: the self-power-consumption proportion is set, the photovoltaic energy storage equipment is connected to the self-power-consumption proportion, the platform directly supplies the photovoltaic power generation to the load side according to the set strategy or is connected to the designated energy storage equipment for storage, the on-line switching or the strategy setting can be performed for timing adjustment, and the self-power-consumption proportion can also be set according to parameters such as current and voltage.
And the power data is taken as a basis, and the energy data such as energy storage and the like are combined, so that the convergence and integration of the energy data are realized. The monitoring work of the energy data quality is carried out, the timeliness, the integrity and the consistency of the energy data are fed back in time, and the data functions of the support platform, such as energy monitoring, operation analysis and the like, provide data support. Please refer to fig. 3.
(1) Interactive content
The method mainly comprises the steps of setting up a network channel, realizing account rights of related networks, storage, platform use, data of each power service system and energy system and the like in the data access process, and completing the opening of a firewall, the application and the authorization of a data table.
(2) Data stream analysis
(1) And (5) interface configuration development and operation. Based on the unified data transmission assembly, the data information of the external energy storage system and other energy systems is configured, and the data information mainly comprises a source service system side and a system data assembly side. And meanwhile, the mapping association relation of the data table is configured, interface development and operation are completed, merging of incremental data and historical data is carried out, and data is automatically updated monthly, weekly and daily according to frequency, so that the data access service testing platform of the energy side is completed.
(2) And verifying the data push condition. Verification is carried out from three aspects of consistency, integrity and accuracy, and data is guaranteed to be normally pushed to an energy platform without errors.
(3) Data security
The system classifies the data according to the importance of the data, can distinguish two major categories of system data (password data, configuration data and the like) and business data at first, then combines the data types to divide, selects the internal and external network storage according to the importance degree and the access mode of the data and provides a corresponding data transmission encryption mode.
In consideration of usability and user experience of the platform system, web-end micro-application encryption data are stored in a cloud database, and the stored sensitive data are data such as name class, address class, contact class, energy efficiency management, electric quantity and electricity charge, platform user behavior, client files and the like, and are mainly used by the web-end micro-application. The name class relates to sensitive data fields, and comprises a user name, a real name, an identity card number, a mobile phone number and a mailbox for service inquiry. Other sensitive data are classified, stored and destroyed according to examples.
Finally, the invention adopts the mature products and the mature technical means in the prior art.
It will be understood that modifications and variations will be apparent to those skilled in the art from the foregoing description, and it is intended that all such modifications and variations be included within the scope of the following claims.
Claims (9)
1. A station area type energy storage resource interaction system is characterized in that: the system comprises an operation state analysis layer and a scheduling policy management layer; the running state analysis layer comprises a real-time acquisition monitoring module, an alarm management module, a data statistics analysis module, an energy storage 3D model and a regional electricity utilization characteristic analysis module; the scheduling policy management layer comprises an operation mode management module, an operation policy management module, a scheduling policy management module and a coordinated interaction management module, and the scheduling policy management layer collects operation parameter data of flexible resources stored in the area, operation data and alarm data of a platform in the area and performs big data analysis to establish an area electricity utilization characteristic portrait.
2. The station-specific energy-storage resource-interactive system of claim 1, wherein: the real-time acquisition monitoring module comprises the following units:
A. BMS data display analysis unit: the EMS collects data of the BMS according to the communication protocol between the BMS and the EMS, and the specific data are as follows: the operation and protection state, the total voltage of each path of battery, the voltage of a single battery, the temperature of all temperature points, the average temperature, the highest/lowest single voltage, the highest/lowest temperature of the temperature points, the charge and discharge current, the battery pack SOC, the data of the battery pack SOH, the chargeable and dischargeable amount of each path of battery, the upper/lower limit of the charge and discharge voltage of the BMS, the maximum charging current and the maximum charging power;
B. PCS data shows analysis unit: the EMS collects the data of the PCS according to the communication protocol of the PCS and the EMS, and the specific data are as follows: voltage, current, power on the dc side; ac side active power, reactive power, three-phase voltage, three-phase current frequency, power factor, running state, conversion efficiency, alarm and common information of fault information;
C. EMS data show analysis unit: temperature and humidity data sent by a temperature/humidity sensor are acquired through RS485, temperature/humidity/smoke sensing data of points are acquired, and display analysis is carried out;
D. load data presentation analysis unit: the curve data comprises PCS, load power, stored energy power and real-time power, the sampling interval is 5min, and the front end interface displays a real-time curve before 24 h.
3. The station-specific energy-storage resource-interactive system of claim 1, wherein: the alarm management module comprises the following units:
A. temperature/humidity alarm unit: when the temperature of the acquired temperature point reaches the upper limit, the EMS displays an alarm, uploads the alarm state to the cloud end and the mobile phone end, and issues a command to the PCS so as to disconnect running equipment; when the acquired humidity reaches 95%, the EMS displays an alarm, and the alarm state is uploaded to the cloud end and the mobile phone end;
B. inverter PCS alarm unit: when PCS equipment fails to give an alarm, the EMS displays the alarm, and the alarm state is uploaded to a cloud end and a mobile phone end, so that the equipment is automatically stopped;
C. communication acquisition abnormal fault alarm unit: the PCS/BMS of the communication main equipment collects and interrupts the abnormity, namely when the interrupt time Tmining is more than 10S, abnormal alarms are displayed on the interface, and when the communication is recovered to be normal, the alarms are automatically released;
D. BMS equipment fault alarm unit: when the BMS equipment fails to give an alarm, the EMS displays the alarm, and the alarm state is uploaded to the cloud end and the mobile phone end, and the EMS links the alarm event to schedule the charging and discharging actions of the energy storage system in real time.
4. The station-specific energy-storage resource-interactive system of claim 1, wherein: the data statistics analysis module comprises the following units:
A. and (3) an electric quantity statistics analysis unit: counting the total electricity consumption of an energy storage side or a load side;
B. and (3) electric charge statistical analysis: counting the total electricity charge of the energy storage side or the load side, and calculating according to the strategy electricity price setting;
C. and the comprehensive statistical analysis unit is used for: counting the peak, flat and valley time period electricity charge statistics, the electricity charge duty ratio and the electricity consumption; counting peak flat valley electric quantity and electric charge by using the comprehensive icon; counting peak flat valley electricity utilization ratio;
D. revenue statistics analysis unit: and counting the power utilization duty ratio after energy storage and saving the power charge data.
5. The station-specific energy-storage resource-interactive system of claim 1, wherein: when the energy storage 3D model is constructed, the electricity utilization characteristic image of each region is analyzed according to the energy utilization statistical analysis of the load side and the analysis of the monitoring point of the load side; and displaying the electricity consumption condition of each area in a thermal map mode, and counting the heavy overload information of each power supply company in a list mode.
6. The station-specific energy-storage resource-interactive system of claim 1, wherein: the operation mode management module supports automatic and manual switching functions of the grid-connected mode, and the Web interface provides an operation interface.
7. The station-specific energy-storage resource-interactive system of claim 1, wherein: the operation policy management module comprises the following management policies:
A. spike valley period settings: setting peak-to-valley time periods, setting a plurality of time periods in one time period, and providing energy storage peak regulation control basis;
B. peak valley electricity price setting: setting peak-to-valley electricity prices, and setting an electricity price for each section for calculating energy storage peak regulation income calculation.
8. The station-specific energy-storage resource-interactive system of claim 1, wherein: the scheduling policy management module comprises the following scheduling policies:
A. peak clipping and valley flattening strategies: performing control strategy customization setting according to the peak valley period setting of strategy period China, wherein the operation type is charging or discharging;
B. and (3) self-defining a charging and discharging strategy: the energy storage peak shaving is controlled according to a mode of single time, time circulation and week circulation in a single day;
C. load side policy: and carrying out peak regulation strategy custom control on the load side, and controlling through intelligent micro-breaking.
9. The station-specific energy-storage resource-interactive system of claim 1, wherein: the coordination interaction management module performs strategy setting on photovoltaic power generation by combining the energy consumption conditions of photovoltaic power generation and loads, and settable items comprise: setting the spontaneous self-use proportion and setting the energy storage equipment connected with the photovoltaic, directly supplying the power generated by the photovoltaic to a load side by a platform according to a set strategy or connecting the power to a designated energy storage equipment for storage, and then switching on line or setting the strategy for timing adjustment, or
The setting is performed according to the parameters of the current and the voltage.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311477878.XA CN117639034A (en) | 2023-11-08 | 2023-11-08 | Station area type energy storage resource interaction system |
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