Management and control device for electricity-hydrogen hybrid energy storage and management and control method thereof

Abstract

The invention discloses a management and control device for electricity-hydrogen hybrid energy storage and a management and control method thereof, and relates to the technical field of electricity-hydrogen hybrid energy storage, the management and control device comprises a management and control system, a renewable energy system, an energy storage system and a power grid, the management and control system is used for conveying renewable energy in the renewable energy system to the power grid or the energy storage system, the energy storage system is used for converting electric energy into hydrogen and storing the hydrogen, and the management and control system comprises a monitoring subsystem, a shunting regulation and control module and a simulation test module. The problems that an existing electricity-hydrogen hybrid energy storage management and control system cannot manage and control different peak densities in different areas and site demand states in different areas, and equipment models in the electricity-hydrogen hybrid energy storage system are not complete and accurate enough are solved. Therefore, the advantages of electricity-hydrogen hybrid energy storage cannot be fully utilized in peak power utilization states under different regional point locations.

Description

Technical Field

[0001] The present invention relates to the technical field of electric-hydrogen hybrid energy storage, and in particular to a control device and a control method for electric-hydrogen hybrid energy storage. Background Art

[0002] In recent years, with the continuous development of renewable energy, hydrogen energy, as a high calorific value, multi-source, zero-pollution green energy, has received extensive attention and research. Producing green hydrogen through renewable energy generation will help solve the problem of renewable energy consumption. The electric-hydrogen energy system is an ideal low-pollution energy system that can combine different energy conversion and storage technologies to improve the stability of renewable energy supply.

[0003] At present, most of the research on electric-hydrogen hybrid energy storage control systems focuses on capacity configuration optimization, which is unable to control different peak densities in different regions and location demand states in different regions. In addition, the equipment model in the electric-hydrogen hybrid energy storage system is not complete and accurate enough, resulting in the peak power consumption state at different regional points unable to fully utilize the advantages of electric-hydrogen hybrid energy storage. To this end, a control device and a control method for electric-hydrogen hybrid energy storage are provided. Summary of the invention

[0004] The purpose of the present invention is to provide a control device and a control method for electric-hydrogen hybrid energy storage, so as to solve the problem that the existing electric-hydrogen hybrid energy storage control system proposed in the above background technology cannot control different peak densities in different regions and location demand states in different regions, and the equipment model in the electric-hydrogen hybrid energy storage system is not complete and accurate enough, resulting in the peak power consumption state at different regional points cannot fully utilize the advantages of electric-hydrogen hybrid energy storage.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a control device for electric-hydrogen hybrid energy storage, comprising a control system, a renewable energy system, an energy storage system and a power grid, wherein the control system is used to transmit renewable energy in the renewable energy system to the power grid or the energy storage system, and the energy storage system is used to convert electrical energy into hydrogen and store it; wherein the control system comprises:

[0006] The monitoring subsystem is used to monitor the power grid, renewable energy system and energy storage battery, obtain the power consumption of each area under the power grid, the power obtained from renewable energy and the storage capacity of the energy storage battery;

[0007] The diversion control module is used to receive the power demand data of the region, prioritize the regions, and perform diversion control based on the distance, diverting and controlling the renewable energy and energy storage to each region;

[0008] The simulation test module establishes a large energy storage management model based on past regional demand values, energy acquisition values, and storage value values, and predicts the subsequent value changes in different regions based on the different peak ranges in different regions, which serves as an important data support for diversion and regulation.

[0009] Preferably, the monitoring subsystem includes a power grid monitoring module, a renewable energy monitoring module and a storage battery monitoring module, and the power grid monitoring module, the renewable energy monitoring module and the storage battery monitoring module all include sensors, monitoring devices and data acquisition devices for obtaining voltage, current, power, frequency, temperature and power consumption data of each node.

[0010] Preferably, the energy storage system includes an energy storage battery, and the energy storage space of the energy storage battery is divided into three parts: a direct-use section, an early-warning use section, and an emergency retention section. The direct-use section accounts for half of the entire energy storage space. A first adjustable threshold is set between the direct-use section and the early-warning use section, and a second adjustable threshold is set between the early-warning use section and the emergency retention section.

[0011] Preferably, the emergency retention section is used when the local point is in a peak state and there is no borrowed electricity from nearby points. The early warning use section can be used in combination with the direct use section, and can also be used in combination with the emergency retention section.

[0012] Preferably, the diversion control module includes a threshold control unit for adjusting the first adjustable threshold and the second adjustable threshold.

[0013] Preferably, the diversion control module also includes a regional classification unit, a distance measurement unit, a demand acquisition unit and a control judgment unit. The regional classification unit is used to divide the peak locations in the area, and the areas with more peak locations are divided into clustered peak areas, and the areas with fewer peak locations are divided into discrete peak areas, and the priorities are divided according to the importance of the locations. The distance measurement unit is used to measure the distance between the peak location and the non-peak location. The demand acquisition unit is used to receive the electricity demand data of each point in different areas. The control judgment unit is used to obtain the data obtained by the above-mentioned regional classification unit, distance measurement unit, and demand acquisition unit, and perform judgment and analysis based on the data.

[0014] Preferably, the control judgment unit determines the inter-regional power inflow judgment process of the discrete peak area and the cluster peak area, including:

[0015] S1: Is there a peak power grid?

[0016] S2: Whether it is close to the local renewable energy power supply area;

[0017] S21: Is there a shortage of renewable energy?

[0018] S3: whether the adjacent area is a peak;

[0019] S4: Whether the energy storage battery is low to the warning usage stage.

[0020] Preferably, in S1, the order of precedence in the control process is achieved by sorting different regional points according to priorities, and the grading standard is based on the priority of the pre-entered regional points.

[0021] Preferably, the simulation test module includes a numerical input unit, a model building unit, a numerical prediction unit, and a past comparison unit. The numerical input unit is used for the management personnel to input the information required for model building, including peak point quantities in different areas, power demand, peak time periods, distances between points, acquired power data, and stored power data. The model building unit establishes a large model of electric-hydrogen hybrid energy storage management and control based on the above data. The numerical prediction unit predicts the subsequent power demand for different areas and points in units of days, weeks, and months based on the above acquired data and the established large model. The past comparison unit is used to compare the data obtained in the past with the current data.

[0022] Preferably, a control method for a control device for electric-hydrogen hybrid energy storage comprises the following steps:

[0023] Step 1: The renewable energy obtained from the renewable energy system is fed into the power grid and the energy storage system through the management and control system. The energy storage system converts the electrical energy into hydrogen and stores it.

[0024] Step 2: Monitor the power grid, renewable energy and energy storage battery respectively through the power grid monitoring module, renewable energy monitoring module and energy storage battery monitoring module under the monitoring subsystem to obtain data on power grid demand, renewable energy acquisition and energy storage battery storage;

[0025] Step 3: The peak locations in the region are divided by the regional classification unit. The regions with more peak locations are divided into clustered peak regions, and the regions with fewer peak locations are divided into discrete peak regions. The priorities are divided according to the importance of the locations. The priorities decrease from top to bottom. The higher the priority, the higher the priority of the power acquisition for diversion regulation. The distance measurement unit is used to measure the distance between the peak location and the non-peak location. By obtaining the distance data, the power of the nearest non-peak location is called to the peak location, and based on the distance data, the power in the discrete peak area is dispatched across regions to the clustered peak area.

[0026] Step 4: The management personnel input the information required for model establishment through the numerical input unit, including the peak point quantity, power demand, peak time period, distance between points, power acquisition data, and power storage data in different regions. The model establishment unit establishes a large model of electric-hydrogen hybrid energy storage management and control based on the above data. The numerical prediction unit predicts the subsequent power demand in different regions and points in units of days, weeks, and months based on the above acquired data and the established large model. The previous comparison unit is used to compare the data obtained in the past with the current data, and the power consumption difference in different regions and points is obtained through comparison. The difference and the predicted data are fed back to the established large model, and then modified according to the subsequent actual data, and the data accuracy under the large model is gradually improved. Through the advance prediction of data and the improvement of the large model, the power demand of regions and points in different time periods in the future is scheduled in advance.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. In the present invention, the monitoring subsystem under the management and control system is used to monitor the power grid, renewable energy system and energy storage system, and obtain corresponding data. The data is mainly divided into three parts: acquisition, demand and reserve. Based on the status of different areas and points, the acquired data is classified through the diversion control module. The area is divided into cluster peak area and discrete peak area. The power transmission situation of different peak point areas is controlled by diversion, and the power inflow situation is controlled according to priority and distance factors. Then, a large model of electric-hydrogen hybrid energy storage control is established through the simulation test module to make full use of the advantages of electric-hydrogen hybrid energy storage.

[0029] 2. In the present invention, the energy storage space of the energy storage battery is divided into three parts: the direct use section, the early warning use section and the emergency retention section. The direct use section accounts for one half of the entire energy storage space. The emergency retention section is used when the local point is at peak state and there is no borrowed electricity from nearby points. The early warning use section can be used in combination with the direct use section, and can also be used in combination with the emergency retention section, which can effectively meet the characteristics of flexible electric hydrogen energy storage, long storage time and outstanding emergency capability. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is the overall principle diagram of the present invention;

[0031] Figure 2 It is a schematic diagram of the management and control system of the present invention;

[0032] Figure 3 It is a schematic diagram of the judgment process of the present invention;

[0033] Figure 4 It is a schematic diagram of the shunt control module of the present invention;

[0034] Figure 5 It is a schematic diagram of a simulation test module of the present invention;

[0035] Figure 6 It is a schematic diagram of the energy storage battery of the present invention;

[0036] Figure 7 It is a schematic diagram of the discrete peak area and the clustered peak area of ​​the present invention. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0038] See also Figure 1-7 , an embodiment provided by the present invention: a control device for electric-hydrogen hybrid energy storage, comprising a control system, a renewable energy system, an energy storage system and a power grid, wherein the control system is used to transmit renewable energy in the renewable energy system to the power grid or the energy storage system, and the energy storage system is used to convert electrical energy into hydrogen and store it; wherein,

[0039] The energy storage system includes:

[0040] Energy storage battery. The energy storage space of the energy storage battery is divided into three parts: the direct-use section, the early-warning section and the emergency retention section. The direct-use section accounts for half of the entire energy storage space. A first adjustable threshold is set between the direct-use section and the early-warning section, and a second adjustable threshold is set between the early-warning section and the emergency retention section. The emergency retention section is used when the local point is at a peak state and there is no borrowed electricity from nearby points. The early-warning section can be used in combination with the direct-use section or the emergency retention section. By dividing the energy storage space of the energy storage battery into three parts: the direct-use section, the early-warning section and the emergency retention section, the energy storage battery can be used more reasonably. During daily peak times, the direct-use section is used. During the early-warning section, the management personnel are reminded. The emergency retention section is used for emergency use, which can effectively meet the flexible characteristics of electric hydrogen energy storage.

[0041] The control system includes:

[0042] The monitoring subsystem is used to monitor the power grid, renewable energy system and energy storage battery, obtain the power consumption of each area under the power grid, the power obtained by renewable energy and the storage capacity of the energy storage battery. The monitoring subsystem includes a power grid monitoring module, a renewable energy monitoring module and an energy storage battery monitoring module. The power grid monitoring module, the renewable energy monitoring module and the energy storage battery monitoring module all include sensors, monitoring devices and data acquisition devices for obtaining the voltage, current, power, frequency, temperature and power consumption data of each node; the renewable energy system, the energy storage system and the power grid are independently monitored through the power grid monitoring module, the renewable energy monitoring module and the energy storage battery monitoring module, and the corresponding data is obtained through monitoring. The data is mainly divided into three parts: acquisition, demand and storage. Based on the obtained data, the foundation is laid for subsequent management and control;

[0043] A shunt control module is used to receive power demand data in a region, prioritize regions, and perform shunt control based on distance, so as to shunt and control renewable energy and energy storage to locations in each region. The shunt control module includes a threshold control unit for adjusting a first adjustable threshold and a second adjustable threshold. The shunt control module also includes a region grading unit, a distance measuring unit, a demand acquisition unit, and a control judgment unit. The region grading unit is used to divide the peak locations in the region, and the regions with many peak locations are divided into clustered peak regions, and the regions with fewer peak locations are divided into discrete peak regions, and priorities are divided according to the importance of the locations. The distance measuring unit is used to measure the distance between the peak location and the non-peak location. The demand acquisition unit is used to receive power demand data of each point in different regions. The control judgment unit is used to obtain data obtained by the above-mentioned region grading unit, distance measuring unit, and demand acquisition unit, and perform judgment and analysis based on the data.

[0044] The simulation test module establishes a large model of energy storage control based on the previous regional demand values, energy acquisition values, and storage value values, and predicts the numerical changes in different regions in subsequent time based on the different peak intervals in different regions. As an important data support for diversion control, the simulation test module includes a numerical input unit, a model building unit, a numerical prediction unit, and a previous comparison unit. The numerical input unit is used for management personnel to input the information required for model establishment, including peak point quantities, power demand, peak time periods, distances between points, power acquisition data, and power storage data in different regions. The model building unit establishes a large model of electric-hydrogen hybrid energy storage control based on the above data. The numerical prediction unit predicts the subsequent power demand for different regions and points in units of days, weeks, and months based on the above acquired data and the established large model. The previous comparison unit is used to compare the data obtained in the past with the current data;

[0045] The control effect of the control device is improved through three major aspects: data monitoring and collection, diversion control and simulation testing. Based on data collection, the simulation test relies on basic data to establish the model, and improves and perfects its own large model many times according to the change of data. The diversion control module implements the diversion control process based on data and models, and improves the control effect of the electric hydrogen energy storage control device under different regions, points, time period peaks and other factors.

[0046] See also Figure 3 The cross-regional power inflow judgment process of the control judgment unit for the discrete peak area and the cluster peak area includes:

[0047] S1: Is there a peak power grid? If not, convert the electrical energy into hydrogen energy through water electrolysis and store it in the energy storage battery for backup. If there is a peak power grid area or location, proceed to step S2;

[0048] S2: Whether it is close to the local renewable energy power supply area. In S2, it is determined whether the peak location is close to the local renewable energy power supply area. If it is close to the renewable energy power supply area, it goes to S21. If there is no renewable energy power supply area close to the point, it goes to S3.

[0049] S21: Whether there is a shortage of renewable energy. In S21, it is determined whether there is a shortage of renewable energy. If there is a shortage, the electricity is fed in through the energy storage battery. If there is no shortage, the renewable energy in the area is used, and the excess electricity is converted into hydrogen energy for storage;

[0050] S3: Whether the adjacent area is at a peak. If there is a peak electricity consumption location in the adjacent area, the energy storage battery is used for power supply. If there is no peak location in the adjacent area, the renewable energy in the adjacent area is used for power supply.

[0051] S4: Whether the energy storage battery is as low as the warning usage section. When the energy storage power is in use, the reserve status of the energy storage battery is obtained through the warning usage section. When it is as low as the warning usage section, an alarm is issued to the management platform to let the management personnel know that the energy storage point has dropped to one-half. When the site is at its peak state and the energy storage is still declining, electricity can be imported through the energy storage batteries in the adjacent area. If it has not dropped to the warning usage section, the local energy storage battery is used normally for electricity import.

[0052] Among them, in S1, the order of priority in the control process is realized by sorting different regional points according to priority, and its classification standard is based on the priority of the pre-entered regional points.

[0053] See also Figure 1-7 , a control method for a control device for electric-hydrogen hybrid energy storage, comprising the following steps:

[0054] Step 1: The renewable energy obtained from the renewable energy system is fed into the power grid and the energy storage system through the management and control system. The energy storage system converts the electrical energy into hydrogen and stores it.

[0055] Step 2: Monitor the power grid, renewable energy and energy storage battery respectively through the power grid monitoring module, renewable energy monitoring module and energy storage battery monitoring module under the monitoring subsystem to obtain data on power grid demand, renewable energy acquisition and energy storage battery storage;

[0056] Step 3: The peak locations in the region are divided by the regional classification unit. The regions with many peak locations are divided into clustered peak regions, and the regions with fewer peak locations are divided into discrete peak regions. The priorities are divided according to the importance of the locations. The priorities decrease from top to bottom. The higher the priority, the higher the priority of the power acquisition for diversion regulation. The distance measurement unit is used to measure the distance between the peak location and the non-peak location. By obtaining the distance data, the power of the nearest non-peak location is called to the peak location, and based on the distance data, the power in the discrete peak area is dispatched across regions to the clustered peak area.

[0057] Step 4: The management personnel input the information required for model establishment through the numerical input unit, including the peak point quantity, power demand, peak time period, distance between points, power acquisition data, and power storage data in different regions. The model establishment unit establishes a large model of electric-hydrogen hybrid energy storage management and control based on the above data. The numerical prediction unit predicts the subsequent power demand in different regions and points in units of days, weeks, and months based on the above acquired data and the established large model. The previous comparison unit is used to compare the data obtained in the past with the current data, and the power consumption difference in different regions and points is obtained through comparison. The difference and the predicted data are fed back to the established large model, and then modified according to the subsequent actual data, and the data accuracy under the large model is gradually improved. Through the advance prediction of data and the improvement of the large model, the power demand of regions and points in different time periods in the future is scheduled in advance.

[0058] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A control device for electric-hydrogen hybrid energy storage, characterized in that: It includes a management and control system, a renewable energy system, an energy storage system and a power grid. The management and control system is used to transmit the renewable energy in the renewable energy system to the power grid or the energy storage system. The energy storage system is used to convert electrical energy into hydrogen and store it. The management and control system includes: The monitoring subsystem is used to monitor the power grid, renewable energy system and energy storage battery, obtain the power consumption of each area under the power grid, the power obtained from renewable energy and the storage capacity of the energy storage battery; The diversion control module is used to receive the power demand data of the region, prioritize the regions, and perform diversion control based on the distance, diverting and controlling the renewable energy and energy storage to each region; The simulation test module establishes a large energy storage management model based on past regional demand values, energy acquisition values, and storage value values, and predicts the subsequent value changes in different regions based on the different peak ranges in different regions, which serves as an important data support for diversion and regulation.

2. A control device for electric-hydrogen hybrid energy storage according to claim 1, characterized in that: The monitoring subsystem includes a power grid monitoring module, a renewable energy monitoring module and a storage battery monitoring module. The power grid monitoring module, the renewable energy monitoring module and the storage battery monitoring module all include sensors, monitoring devices and data acquisition devices for obtaining voltage, current, power, frequency, temperature and power consumption data of each node.

3. A control device for electric-hydrogen hybrid energy storage according to claim 2, characterized in that: The energy storage system includes an energy storage battery, and the energy storage space of the energy storage battery is divided into three parts: a direct-use section, an early-warning section, and an emergency retention section. The direct-use section accounts for half of the entire energy storage space. A first adjustable threshold is set between the direct-use section and the early-warning section, and a second adjustable threshold is set between the early-warning section and the emergency retention section.

4. A control device for electric-hydrogen hybrid energy storage according to claim 3, characterized in that: The emergency retention section is used when the local point is in peak condition and there is no borrowed electricity from nearby points. The early warning use section can be used in combination with the direct use section, and can also be used in combination with the emergency retention section.

5. The control device for electric-hydrogen hybrid energy storage according to claim 4, characterized in that: The shunt control module includes a threshold control unit for adjusting a first adjustable threshold and a second adjustable threshold.

6. A control device for electric-hydrogen hybrid energy storage according to claim 5, characterized in that: The diversion control module also includes a regional classification unit, a distance measurement unit, a demand acquisition unit and a control judgment unit. The regional classification unit is used to divide the peak locations in the area, and the areas with more peak locations are divided into clustered peak areas, and the areas with fewer peak locations are divided into discrete peak areas, and the priorities are divided according to the importance of the locations. The distance measurement unit is used to measure the distance between the peak location and the non-peak location. The demand acquisition unit is used to receive the electricity demand data of each point in different areas. The control judgment unit is used to obtain the data obtained by the above-mentioned regional classification unit, distance measurement unit, and demand acquisition unit, and perform judgment and analysis based on the data.

7. A control device for electric-hydrogen hybrid energy storage according to claim 6, characterized in that: The control judgment unit determines the inter-regional power inflow judgment process of the discrete peak area and the cluster peak area, including: S1: Is there a peak grid? S2: Whether it is close to the local renewable energy power supply area; S21: Is there a shortage of renewable energy? S3: Whether the adjacent area is a peak; S4: Whether the energy storage battery is low to the warning usage stage.

8. The control device for electric-hydrogen hybrid energy storage according to claim 7, characterized in that: In S1, the order of precedence in the control process is achieved by sorting different regional points according to priority, and the classification standard is based on the priority of the pre-entered regional points.

9. The control device for electric-hydrogen hybrid energy storage according to claim 8, characterized in that: The simulation test module includes a numerical input unit, a model building unit, a numerical prediction unit, and a past comparison unit. The numerical input unit is used for the management personnel to input the information required for model building, including peak point quantities, power demand, peak time periods, distances between points, acquired power data, and stored power data in different areas. The model building unit builds a large model of electric-hydrogen hybrid energy storage management and control based on the above data. The numerical prediction unit predicts the subsequent power demand for different areas and points in units of days, weeks, and months based on the above acquired data and the established large model. The past comparison unit is used to compare the data obtained in the past with the current data.

10. A control method for a control device for electric-hydrogen hybrid energy storage, implemented based on the control device for electric-hydrogen hybrid energy storage according to claim 9, characterized in that: The following steps are involved: Step 1: The renewable energy obtained from the renewable energy system is fed into the power grid and the energy storage system through the management and control system. The energy storage system converts the electrical energy into hydrogen and stores it. Step 2: Monitor the power grid, renewable energy and energy storage battery respectively through the power grid monitoring module, renewable energy monitoring module and energy storage battery monitoring module under the monitoring subsystem to obtain data on power grid demand, renewable energy acquisition and energy storage battery storage; Step 3: The peak locations in the region are divided by the regional classification unit. The regions with more peak locations are divided into clustered peak regions, and the regions with fewer peak locations are divided into discrete peak regions. The priorities are divided according to the importance of the locations. The priorities decrease from top to bottom. The higher the priority, the higher the priority of the power acquisition for diversion regulation. The distance measurement unit is used to measure the distance between the peak location and the non-peak location. By obtaining the distance data, the power of the nearest non-peak location is called to the peak location, and based on the distance data, the power in the discrete peak area is dispatched across regions to the clustered peak area. Step 4: The management personnel input the information required for model establishment through the numerical input unit, including the peak point quantity, power demand, peak time period, distance between points, power acquisition data, and power storage data in different regions. The model establishment unit establishes a large model of electric-hydrogen hybrid energy storage management and control based on the above data. The numerical prediction unit predicts the subsequent power demand in different regions and points in units of days, weeks, and months based on the above acquired data and the established large model. The previous comparison unit is used to compare the data obtained in the past with the current data, and the power consumption difference in different regions and points is obtained through comparison. The difference and the predicted data are fed back to the established large model, and then modified according to the subsequent actual data, and the data accuracy under the large model is gradually improved. Through the advance prediction of data and the improvement of the large model, the power demand of regions and points in different time periods in the future is scheduled in advance.

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