An operation control method of an integrated energy system including a multi-element energy storage device

Abstract

The present invention discloses an operation control method for an integrated energy system including a multi-energy storage device, and belongs to the field of microgrid energy management. The present invention uses a long short-term memory network to predict the output of wind and solar power and the demand for multi-energy of loads, and divides the operation control into two operation control scenarios according to the difference between energy output and energy demand. The present invention relates to the coupled control of three energies: electricity, heat, and hydrogen, and formulates the scheduling order and scheduling strategy of electricity, heat, and hydrogen. In the case of missing electricity, heat, and hydrogen loads, they can be directly scheduled from the energy storage device to reduce the energy loss of energy conversion, and also improve the peak-shaving capacity of the system. The energy distribution of the multi-energy storage device can also be optimized according to the load, which can reduce the conversion efficiency loss between energies, and avoid the situation in which the energy conversion device exceeds the maximum charge and discharge energy constraint during real-time control, resulting in energy waste or load demand shortage.

Description

Technical Field

[0001] The present invention relates to the field of microgrid energy management, and in particular to an operation control method of an integrated energy system including a multi-element energy storage device. Background Art

[0002] In the field of energy management system optimization and scheduling, the existing main research objects are concentrated on the scheduling model of energy management system of single energy storage device. Although there are some studies on multiple energy storage devices, there are few models for the coupling relationship of multiple energy storage devices, and there are few studies that take the specific calculation of energy conversion efficiency into consideration in the grid scheduling strategy. Multiple energy storage devices will involve the distribution of multiple energy storage quantities. At present, there is little research on this issue. Using the predicted load demand of three energy forms to optimize the distribution of energy storage can reduce the loss of energy conversion and improve the economy of the system. Summary of the invention

[0003] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and to provide an operation control method of an integrated energy intelligent supply system including a multiple energy storage device, so as to maximize the economy and power supply reliability of the power grid.

[0004] The purpose of the present invention can be achieved by the following technical solutions:

[0005] In a first aspect, the present invention provides an operation control method of an integrated energy system including a multi-energy storage device, wherein the multi-energy storage device includes an electricity storage unit, a hydrogen storage unit, and a heat storage unit, and the operation control method includes:

[0006] Step 1: predict the wind and solar power output and load demand results in the target time period;

[0007] Step 2, subtract the predicted results of wind and solar power output from the load demand to determine whether the wind and solar power output is greater than the load demand. If so, proceed to step 3; if not, proceed to step 4;

[0008] Step 3: determine whether the energy storage device can fully absorb the excess new energy output. If so, the excess new energy output is used to charge the storage unit first, and the excess energy is distributed according to the heat load demand and hydrogen load demand in the next time period; if not, the energy storage device stores energy at maximum power, and the excess energy is responded to by the demand-side load response layer, and the shiftable load is shifted to absorb the excess energy;

[0009] Step 4, determine whether the energy storage capacity of the energy storage device can meet the shortfall in load demand. If so, perform energy conversion in advance according to the distribution of electric, thermal and hydrogen in the load demand prediction result. When performing energy conversion, the energy conversion goals are to meet the shortfall in load, reduce grid fluctuations and minimize conversion power. If not, the electricity storage unit, hydrogen storage unit and heat storage unit in the energy storage device respectively output energy to the load end, and the shortfall in energy starts the energy conversion device, which is converted in the order of electricity, hydrogen and heat. For the part that still cannot be met after the conversion, the demand side load response layer responds, and the load that can be shifted is shifted first in order, and then the interruptible load is cut off to ensure the reliable operation of important loads.

[0010] Furthermore, the step 1 comprises:

[0011] When predicting wind and solar power output, the long short-term memory network is used as the prediction model. The model inputs include: wind speed, wind direction, temperature, humidity, atmospheric refractive index, and light intensity; the model outputs include: wind turbine output and photovoltaic output;

[0012] When predicting load demand, the long short-term memory network is used as the prediction model. The model input includes: historical load demand data, including electric load, thermal load, and hydrogen load; the model output includes: electric load, thermal load, and hydrogen load prediction results.

[0013] Furthermore, according to whether the multi-energy storage device meets the upper and lower storage limit constraints of each energy storage unit, when the wind and solar power output cannot meet the load demand, the mode of the multi-energy storage device is divided into a single energy storage releasable energy mode, a dual energy storage releasable energy mode and a multi-energy storage releasable energy mode; when the wind and solar power output can meet the load demand, the mode of the multi-energy storage device is divided into a single energy storage storable energy mode, a dual energy storage storable energy mode and a multi-energy storage storable energy mode.

[0014] Furthermore, when the single energy storage releasable energy mode is the heat storage unit releasable energy mode, since thermal energy cannot be converted into electrical energy, only thermal energy can be dispatched at this time, and the electric hydrogen load cannot be dispatched.

[0015] Furthermore, in the multi-energy storage storable energy mode, energy storage scheduling is performed at maximum power in the order of electricity, hydrogen, and heat storage, under the constraints of the maximum power constraint of the energy conversion device and the maximum energy storage power.

[0016] Furthermore, the energy conversion device includes a fuel cell, an electrolyzer and an electric boiler.

[0017] Furthermore, the load response layer divides the demand-side load into important loads, shiftable loads and cut-off loads according to their importance.

[0018] Furthermore, the demand-side load response adopts incentive demand response, and determines the demand response amount and response speed of shiftable load and interruptible load by signing a contract with the load end. According to the demand response speed, the load is divided into a first type of load for long-time scale scheduling and a second type of load for short-time scale scheduling.

[0019] In a second aspect, the present invention provides an operation control device for an integrated energy system including a multi-energy storage device, comprising:

[0020] A wind and solar power output and load demand prediction module, which is used to predict the wind and solar power output results and load demand results in the target time period;

[0021] The first judgment module is used to make a difference between the predicted results of wind and solar power output and load demand, and judge whether the wind and solar power output is greater than the load demand. If so, enter the second judgment module, if not, enter the third judgment module;

[0022] The second judgment module is used to judge whether the energy storage device can fully absorb the excess new energy output. If so, the excess new energy output is used to charge the power storage unit first, and the excess energy is distributed according to the heat load demand and hydrogen load demand in the next time period; if not, the energy storage device stores energy at maximum power, and the excess energy is responded to by the demand-side load response layer, and the shiftable load is shifted to absorb the excess energy;

[0023] The third judgment module is used to judge whether the storage energy of the energy storage device can meet the shortfall of load demand. If so, energy conversion is performed in advance according to the distribution of electric, thermal and hydrogen in the load demand prediction result. When performing energy conversion, the energy conversion goals are to meet the shortfall of load, reduce grid fluctuations and minimize conversion power. If not, the electricity storage unit, hydrogen storage unit and heat storage unit in the energy storage device respectively output energy to the load end, and the shortfall of energy starts the energy conversion device, which is converted in the order of electricity, hydrogen and heat. The part that cannot be met after conversion is responded through the demand side load response layer, and the shiftable load is first shifted in order, and then the interruptible load is cut off.

[0024] In a third aspect, the present invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the above-mentioned operation control method of an integrated energy system including a multi-energy storage device.

[0025] Compared with the prior art, the present invention has the following advantages:

[0026] (1) The present invention adopts the coupling technology of three energy storages: electricity, heat and hydrogen. The hydrogen storage tank is used as the hydrogen storage unit, the heat storage tank is used as the heat storage unit, the battery is used as the electricity storage unit, and the electrolyzer, electric boiler and fuel cell are used as energy conversion devices to realize the coupling of electricity, hydrogen and heat energy, formulate the scheduling sequence and scheduling strategy of electricity, heat and hydrogen. The multi-energy storage device proposed in the present invention includes a variety of storable energy modes and a variety of releasable energy modes. Compared with the single energy storage and dual energy storage models, the scheduling capability is stronger. In the case of the lack of electricity, heat and hydrogen loads, they can be directly dispatched from the energy storage device, reducing the energy loss of energy conversion and improving the peak load regulation capability of the system.

[0027] (2) The present invention adopts a long short-term memory network algorithm to make day-ahead and intra-day forecasts of wind and solar power output and load-side demand, formulates scheduling strategies in advance, and performs distributed scheduling of multi-energy storage in advance based on the predicted load demand for electric, thermal and hydrogen. Compared with single and double energy storage, this further reduces the peak-to-valley difference of the power system and improves energy utilization efficiency.

[0028] (3) The present invention designs an operation control strategy for an integrated energy intelligent supply system including multiple devices, takes the load demand forecast as an input, normalizes thermal hydrogen into electrical energy according to the energy conversion efficiency, and compares it with the output of new energy wind and solar power. Based on this, it is divided into two operation scenarios and adopts different scheduling strategies to achieve more precise control and planned energy conversion, thereby reducing energy losses caused by blind energy conversion. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A schematic diagram of an integrated energy intelligent supply system including multiple energy storage devices;

[0030] Figure 2 A schematic diagram for predicting wind and solar power output and load demand;

[0031] Figure 3 The invention provides an operation control method flow for an integrated energy intelligent supply system including multiple energy storage devices. DETAILED DESCRIPTION

[0032] In order to describe the present invention more specifically, the technical solution of the present invention is described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0033] like Figure 1As shown, the integrated energy intelligent supply system including multiple energy storage devices includes a supply side and a load side, wherein the supply side is mainly the upper-level power grid and heat network, which uses wind and solar power to generate electricity and store electricity, produce hydrogen and store hydrogen, and produce and store heat. The energy storage device is divided into an electricity storage unit (such as a battery), a hydrogen storage unit (such as a hydrogen storage tank) and a heat storage unit (such as a heat storage tank), and the energy conversion device is divided into a fuel cell, an electrolyzer and an electric boiler; the load side includes an electrical load, a hydrogen load and a heat load.

[0034] The operation control method of the integrated energy intelligent supply system including the multi-energy storage device proposed in the present invention mainly includes the following contents:

[0035] (1) Obtain wind power output data, historical data on electric thermal hydrogen demand, equipment installed capacity data, and meteorological data, and use a neural network prediction model to predict the electric thermal hydrogen load demand and wind and solar output respectively. Difference between the predicted wind and solar output and the electric thermal hydrogen load demand (thermal hydrogen energy is calculated by converting it into electrical energy according to the conversion efficiency of the energy conversion device). Based on the relationship between the predicted wind and solar output and load demand, determine the multi-energy storage scheduling strategy to maximize the absorption of excess output and ensure reliable power supply. When it cannot be met through multi-energy storage scheduling, load demand response is used to further absorb excess power and ensure reliable power supply for important loads, thereby maximizing both economy and reliability.

[0036] In this step, according to the load response time of the incentive demand side load response, the predicted load demand of electric thermal hydrogen is divided into Class A and Class B according to the dispatch response speed. Class A load is used in the long-time scale dispatch plan of the day before, and Class B load is used in the short-time scale dispatch plan, and its own load demand can be changed according to the short-time scale dispatch instruction. In this embodiment, Class A load refers to the load type with a load response time of more than 1 hour in the incentive demand response, and Class B load refers to the load type with a response time of 5 to 15 minutes.

[0037] In this step, the neural network prediction model in deep learning is used in combination with historical data and weather data to solve the uncertainty problem of wind and solar power output in practical applications;

[0038] like Figure 2 As shown in the figure, when predicting wind and solar power output, the long short-term memory network is used as the prediction model, and the model input includes: wind speed, wind direction, temperature, humidity, atmospheric refractive index, and light intensity; the model output includes: wind turbine output and photovoltaic output. When training the long short-term memory network used to predict wind and solar power output, the wind turbine output result calculated by the mathematical model of the wind turbine with wind speed and wind direction as parameters is used as the training label of the wind turbine output; the photovoltaic output result calculated by the mathematical model of the photovoltaic cell with temperature, humidity, atmospheric refractive index, and light intensity as parameters is used as the training label of the photovoltaic output.

[0039] When predicting load demand, the long short-term memory network is used as the prediction model. The model input includes: historical load demand data (electricity, heat, and hydrogen load); the model output includes: electricity, heat, and hydrogen load prediction results. According to the load demand for the three energy sources, the charging and discharging power and storage capacity of the corresponding energy storage are increased, the conversion power between energy storages is reduced, and energy loss is reduced. When training the long short-term memory network used to predict load demand, the electricity, heat, and hydrogen load results calculated using the load basic model are combined with historical load demand data as training labels for load demand.

[0040] In this embodiment, the wind turbine mathematical model, photovoltaic cell mathematical model and load basic model adopt mathematical model structures known in the art. Those skilled in the art can obtain parameters such as equipment installed capacity for calculation of the mathematical model according to actual conditions, and the equipment installed capacity refers to the rated active power of the electrical equipment in the system.

[0041] (2) The operation control strategy of the integrated energy system including multiple energy storage devices is divided into two application scheduling scenarios: the wind and solar power output cannot meet the electric and heat demand of the load, and the wind and solar power output can meet the electric and heat demand of the load.

[0042] 2.1 In the scenario where the wind and solar power output cannot meet the electric and thermal demand of the load, two operation strategies of energy storage devices are designed according to whether the energy storage can meet the shortfall of load demand.

[0043] When the energy storage cannot meet the load demand shortage, the electricity storage, heat storage and hydrogen storage units respectively transmit electric, thermal and hydrogen energy to the load end. When the load of a certain energy is met, the energy of the energy storage device is redistributed according to the load demand shortage of the remaining energy types and the remaining amount of energy storage, and converted in the order of electricity, hydrogen and heat. Since the energy storage unit cannot meet the load shortage in this operating scenario, it is necessary to continue to adopt the demand-side response strategy, first translate the shiftable load in order, and then cut off the interruptible load to ensure the reliable operation of important loads. In this embodiment, before cutting off the interruptible load, the interruptible load can be sorted according to its importance, and the load with the lowest importance can be cut off first, and the interruptible load can be gradually cut off until the energy storage unit meets the load shortage.

[0044] When the energy storage unit can meet the shortfall in load demand, the energy storage device distributes the electric heating hydrogen according to the predicted amount of load demand and performs energy conversion in advance. After energy conversion is performed with the goal of meeting the shortfall in load, reducing grid fluctuations, and minimizing conversion power (reducing energy loss during the conversion process), energy is supplied to the load end to meet the load demand.

[0045] 2.2 In the scenario where wind and solar power output can meet the electric and thermal demand of the load, two operation control strategies are designed according to whether the energy storage device can fully absorb the excess renewable energy output.

[0046] In this step, since three energy storage units are coupled with each other and participate in scheduling, the energy conversion device can reasonably distribute the distribution of energy storage according to the output and load demand. However, energy conversion between energy storage units will cause energy loss. In response to this problem, the operation control strategy proposed in the present invention aims to minimize efficiency loss and proposes a method for determining the distribution of energy storage according to the load. When the energy storage device can fully absorb the excess new energy output, the excess new energy output is used to charge the battery in the storage unit first, and the excess energy is distributed in the order of electricity, heat, and hydrogen according to the predicted thermal hydrogen load demand in the next time period.

[0047] When the energy storage unit cannot fully absorb the output of new energy, the energy storage unit stores energy at maximum power. The excess energy needs to be absorbed through demand-side response and shifting of shiftable loads.

[0048] In a specific implementation of the present invention, the storage energy is represented by the charge coefficient SOC of the electricity storage unit and the storage state SOHC of the hydrogen storage unit.

[0049] Among them, the charge coefficient SOC of the power storage unit can be calculated by the following formula:

[0050] SOC(t)=E(t) / E max

[0051] Where: SOC(t) is the state of charge of the power storage unit at time t, E(t) is the actual storage energy of the power storage unit at time t, and E max is the maximum storage energy of the power storage unit.

[0052] The energy storage state of the hydrogen storage unit SOHC can be calculated by the following formula:

[0053] SOHC=P sto / P max

[0054] Where: P sto Indicates the actual pressure of the hydrogen storage unit, P max is the maximum pressure of the hydrogen storage tank.

[0055] It can be seen from the charge coefficient SOC of the above-mentioned electricity storage unit and the energy storage state SOHC of the hydrogen storage unit that in the two operating scenarios where the wind and solar power output can meet the load demand and cannot meet the load demand, the energy storage state of the multi-energy storage device is diverse. According to whether the multi-energy storage device meets the upper and lower storage limits of the energy storage unit, it can be divided into a single energy storage releasable energy mode, a dual energy storage releasable energy mode and a multi-energy storage releasable energy mode (situation where wind and solar power output cannot meet the load demand), as well as a single energy storage storable energy mode, a dual energy storage storable energy mode and a multi-energy storage storable energy mode (situation where wind and solar power output can meet the load demand).

[0056] In the case where the wind and solar output cannot meet the load demand, the single energy storage releasable energy mode can be divided into the electricity storage unit discharge mode, the hydrogen storage unit releasable energy mode and the thermal storage unit releasable energy mode. The dual energy storage releasable energy mode can be divided into the electric hydrogen storage releasable energy mode, the electric thermal storage releasable energy mode and the thermal hydrogen device releasable energy mode. Similarly, in the case where the wind and solar output can meet the load demand, there are also the above energy storage scheduling modes. For example, the single energy storage storable energy mode can be divided into the electricity storage unit storable energy mode, the hydrogen storage unit storable energy mode and the thermal storage unit storable energy mode, and the dual energy storage storable energy mode can be divided into the electric hydrogen storage storable energy mode, the electric thermal storage storable energy mode and the thermal hydrogen device storable energy mode.

[0057] When the wind and solar power output cannot meet the demand for electric, thermal and hydrogen loads, the wind and solar power output will no longer supply energy to the energy storage unit, but will directly supply the load in the order of electricity, hydrogen and heat. The remaining energy will be provided by the energy storage unit. When the energy storage unit can meet the shortage, the energy storage unit will continue to output power to meet the shortage. When the energy storage unit cannot meet the shortage, the energy storage unit will output energy at the maximum power. In addition, the maximum power constraints of the electrolyzer, electric boiler and fuel cell need to be considered. When the single energy storage releasable energy mode is the thermal storage unit releasable energy mode, since thermal energy cannot be converted into electrical energy, only thermal energy can be dispatched at this time, and the electric hydrogen load cannot be dispatched.

[0058] When the wind and solar power output can meet the load demand, energy storage units are required to participate in absorbing the excess renewable energy output in the power grid. When the single energy storage storable energy mode is the hydrogen storage unit storable energy mode or the heat storage unit storable energy mode, it is necessary to convert electric heat and electric hydrogen, and the maximum conversion power of the equipment needs to be considered. In the case of multiple energy storage storable energy modes, according to the energy storage order of electricity, hydrogen, and heat, under the maximum power constraints of the energy conversion device and the maximum energy storage power constraints, energy storage scheduling is performed at maximum power.

[0059] like Figure 3 As shown, the present invention proposes an operation control method of an integrated energy system including a multi-energy storage device, comprising:

[0060] Step 1: Use long short-term memory network to predict wind and solar power output and load demand;

[0061] Step 2: Subtract the wind and solar power output from the load electric heating hydrogen demand to determine whether the wind and solar power output is greater than the load demand. If so, proceed to step 3; if not, proceed to step 4.

[0062] Step 3: determine whether the energy storage can fully absorb the excess new energy output. If so, the excess new energy output is used to charge the battery first, and the excess energy is allocated for energy storage according to the predicted amount of hot hydrogen for the load in the next time period; if not, the energy storage units all store energy at maximum power, and the excess energy is absorbed by shifting the shiftable load through demand-side response;

[0063] Step 4, determine whether the energy storage can meet the shortfall in load demand. If so, perform energy conversion in advance according to the predicted electric, thermal and hydrogen distribution of the load demand. When performing energy conversion, the energy conversion goals are to meet the shortfall in load, reduce grid fluctuations and minimize conversion power. If not, the electric, hydrogen and thermal energy storage units output energy to the load end respectively, and the shortfall in energy starts the energy conversion device, and converts it in the order of electric, hydrogen and thermal. For the part that still cannot be met after conversion, adopt the corresponding demand-side strategy, first shift the shiftable load in order, and then gradually cut off the interruptible load to ensure the reliable operation of important loads. The above are only specific embodiments of the present invention.

[0064] In this embodiment, an operation control device for an integrated energy system including a multi-element energy storage device is also provided, and the device is used to implement the above-mentioned embodiment. The terms "module", "unit", etc. used below can implement a combination of software and / or hardware of predetermined functions. Although the system described in the following embodiments is preferably implemented in software, it is also possible to implement hardware, or a combination of software and hardware.

[0065] The present embodiment provides an operation control device for an integrated energy system including a multi-energy storage device, comprising:

[0066] A wind and solar power output and load demand prediction module, which is used to predict the wind and solar power output results and load demand results in the target time period;

[0067] The first judgment module is used to make a difference between the predicted results of wind and solar power output and load demand, and judge whether the wind and solar power output is greater than the load demand. If so, enter the second judgment module, if not, enter the third judgment module;

[0068] The second judgment module is used to judge whether the energy storage device can fully absorb the excess new energy output. If so, the excess new energy output is used to charge the power storage unit first, and the excess energy is distributed according to the heat load demand and hydrogen load demand in the next time period; if not, the energy storage device stores energy at maximum power, and the excess energy is responded to by the demand-side load response layer, and the shiftable load is shifted to absorb the excess energy;

[0069] The third judgment module is used to judge whether the storage energy of the energy storage device can meet the shortfall of load demand. If so, energy conversion is performed in advance according to the distribution of electric, thermal and hydrogen in the load demand prediction result. When performing energy conversion, the energy conversion goals are to meet the shortfall of load, reduce grid fluctuations and minimize conversion power. If not, the electricity storage unit, hydrogen storage unit and heat storage unit in the energy storage device respectively output energy to the load end, and the shortfall of energy starts the energy conversion device, which is converted in the order of electricity, hydrogen and heat. The part that cannot be met after conversion is responded through the demand side load response layer, and the shiftable load is first shifted in order, and then the interruptible load is cut off.

[0070] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the partial description of the method embodiment, and the implementation methods of the remaining modules are not repeated here. The device embodiment described above is only illustrative, wherein the modules described as separate components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. A person of ordinary skill in the art can understand and implement it without paying creative labor.

[0071] The device embodiments of the present invention can be applied to any device with data processing capabilities, and the device with data processing capabilities can be a device or apparatus such as a computer. The device embodiments can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a device in a logical sense, the processor of any device with data processing capabilities reads the corresponding computer program instructions in the non-volatile memory into the memory and runs them.

[0072] An embodiment of the present invention further provides a computer-readable storage medium having a program stored thereon, and when the program is executed by a processor, the operation control method of the integrated energy system including the multi-energy storage device is implemented.

[0073] The computer-readable storage medium may be an internal storage unit of any device with data processing capability described in any of the aforementioned embodiments, such as a hard disk or a memory. The computer-readable storage medium may also be an external storage device of any device with data processing capability, such as a plug-in hard disk, a smart media card (SMC), an SD card, a flash card, etc., equipped on the device.

[0074] Obviously, the present invention is not limited to the above embodiments, and many variations are possible. All variations that can be directly derived or associated with the contents disclosed by a person skilled in the art should be considered as falling within the protection scope of the present invention.

Claims

1. An operation control method of an integrated energy system including a multi-energy storage device, wherein the multi-energy storage device includes an electricity storage unit, a hydrogen storage unit, and a heat storage unit, characterized in that: The operation control method comprises: Step 1: predict the wind and solar power output and load demand results in the target time period; The step 1 comprises: When predicting wind and solar power output, the long short-term memory network is used as the prediction model. The model input includes: wind speed, wind direction, temperature, humidity, atmospheric refractive index, and light intensity; the model output includes: wind turbine output and photovoltaic output; When predicting load demand, the long short-term memory network is used as the prediction model. The model input includes: historical load demand data, including electric load, heat load, and hydrogen load; the model output includes: prediction results of electric load, heat load, and hydrogen load; Step 2, subtract the predicted results of wind and solar power output from the load demand to determine whether the wind and solar power output is greater than the load demand. If so, proceed to step 3; if not, proceed to step 4; Step 3: determine whether the energy storage device can fully absorb the excess new energy output. If so, the excess new energy output is used to charge the storage unit first, and the excess energy is distributed according to the heat load demand and hydrogen load demand in the next time period; if not, the energy storage device stores energy at maximum power, and the excess energy is responded to by the demand-side load response layer, and the shiftable load is shifted to absorb the excess energy; Step 4, determine whether the energy storage capacity of the energy storage device can meet the shortfall in load demand. If so, perform energy conversion in advance according to the distribution of electric, thermal and hydrogen in the load demand prediction result. When performing energy conversion, the energy conversion goals are to meet the shortfall in load, reduce grid fluctuations and minimize conversion power. If not, the electricity storage unit, hydrogen storage unit and heat storage unit in the energy storage device respectively output energy to the load end, and the shortfall in energy starts the energy conversion device, which is converted in the order of electricity, hydrogen and heat. For the part that still cannot be met after the conversion, the demand-side load response layer responds, and the shiftable load is shifted first in order, and then the interruptible load is cut off.

2. The operation control method of an integrated energy system including a multi-element energy storage device according to claim 1, characterized in that: According to whether the multi-energy storage device meets the upper and lower limits of energy storage of each energy storage unit, when the wind and solar output cannot meet the load demand, the mode of the multi-energy storage device is divided into a single energy storage releasable energy mode, a dual energy storage releasable energy mode and a multi-energy storage releasable energy mode; When the wind and solar power output can meet the load demand, the modes of the multi-energy storage device are divided into single energy storage storable energy mode, dual energy storage storable energy mode and multi-energy storage storable energy mode.

3. The operation control method of an integrated energy system including a multi-element energy storage device according to claim 2, characterized in that: When the single energy storage releasable energy mode is the thermal storage unit releasable energy mode, only thermal energy can be dispatched.

4. The operation control method of an integrated energy system including a multi-element energy storage device according to claim 2, characterized in that: In the multi-energy storage storable energy mode, energy storage scheduling is performed at maximum power in the order of electricity, hydrogen and heat storage, under the constraints of the maximum power constraint of the energy conversion device and the maximum energy storage power.

5. The operation control method of an integrated energy system including a multi-element energy storage device according to claim 2, characterized in that: The energy conversion device comprises a fuel cell, an electrolyzer and an electric boiler.

6. The operation control method of an integrated energy system including a multi-element energy storage device according to claim 1, characterized in that: The load response layer divides the demand side load into important load, shiftable load and cut-off load according to their importance.

7. The operation control method of an integrated energy system including a multi-element energy storage device according to claim 1, characterized in that: The demand-side load response adopts incentive demand response. By signing a contract with the load end, the demand response amount and response speed of the shiftable load and the interruptible load are determined. According to the demand response speed, the load is divided into the first type of load for long-time scale scheduling and the second type of load for short-time scale scheduling.

8. An operation control device for an integrated energy system including a multi-energy storage device, characterized in that: include: A wind and solar power output and load demand prediction module, which is used to predict the wind and solar power output results and load demand results in the target time period; When predicting wind and solar power output, the long short-term memory network is used as the prediction model. The model inputs include: wind speed, wind direction, temperature, humidity, atmospheric refractive index, and light intensity; the model outputs include: wind turbine output and photovoltaic output; when predicting load demand, the long short-term memory network is used as the prediction model. The model inputs include: historical load demand data, including electric load, heat load, and hydrogen load; the model outputs include: prediction results of electric load, heat load, and hydrogen load; The first judgment module is used to make a difference between the predicted results of wind and solar power output and load demand, and judge whether the wind and solar power output is greater than the load demand. If so, enter the second judgment module, if not, enter the third judgment module; The second judgment module is used to judge whether the energy storage device can fully absorb the excess new energy output. If so, the excess new energy output is used to charge the power storage unit first, and the excess energy is distributed according to the heat load demand and hydrogen load demand in the next time period; if not, the energy storage device stores energy at maximum power, and the excess energy is responded to by the demand-side load response layer, and the shiftable load is shifted to absorb the excess energy; The third judgment module is used to judge whether the storage energy of the energy storage device can meet the shortfall of load demand. If so, energy conversion is performed in advance according to the distribution of electric, thermal and hydrogen in the load demand prediction result. When performing energy conversion, the energy conversion goals are to meet the shortfall of load, reduce grid fluctuations and minimize conversion power. If not, the electricity storage unit, hydrogen storage unit and heat storage unit in the energy storage device respectively output energy to the load end, and the shortfall of energy starts the energy conversion device, which is converted in the order of electricity, hydrogen and heat. The part that cannot be met after conversion is responded through the demand side load response layer, and the shiftable load is first shifted in order, and then the interruptible load is cut off.

9. A computer-readable storage medium, characterized in that: A program is stored thereon, and when the program is executed by a processor, it is used to implement the operation control method of an integrated energy system comprising a multi-energy storage device as described in claim 1.

Images