An integrated energy intelligent management and control system and a control method thereof

Abstract

The application belongs to the field of electric power control systems, and specifically discloses a comprehensive energy intelligent management and control system and a control method thereof. The technical scheme of the application monitors the operating parameters of the system in real time. If a power grid fault signal is monitored, the control system switches to a first operating mode to forcibly ensure power supply to key loads in the system. If the absolute difference between green power output power and total load power in the system is greater than a preset power threshold and no power grid fault signal is monitored, the control system switches to a second operating mode to dynamically adjust the battery charge and discharge power and the flexible load power in response to the absolute difference. If the absolute difference is not greater than the power threshold and no power grid fault signal is monitored, the control system switches to a third operating mode to adjust the battery charge and discharge power based on maximizing the energy yield of the system. The technical scheme of the application realizes innovative optimization of electric energy management, and significantly improves the economy, stability and reliability of the system.

Description

Technical Field

[0001] This application belongs to the field of power control technology, and more specifically, relates to an integrated energy intelligent management and control system and its control method. Background Technology

[0002] Integrated energy systems achieve deep integration and efficient interaction of energy production, transmission, storage, and consumption through the coordinated planning, operation, and management of multiple energy sources. Their core function is to break down barriers between traditional energy subsystems, significantly improving overall energy efficiency and economy. Through multi-energy complementarity and cascade utilization, the system effectively mitigates renewable energy fluctuations, greatly enhances the absorption capacity of intermittent energy sources such as wind and solar power, and strengthens the resilience and security of energy supply. Simultaneously, it optimizes resource allocation, reduces energy costs, and provides users with flexible and diverse energy choices. At the macro level, integrated energy systems are a key pillar in building a clean, low-carbon, safe, and efficient modern energy system, providing an important systemic solution for addressing energy challenges and promoting the achievement of "dual-carbon" goals.

[0003] Currently, integrated energy systems are generally managed using a single-objective-oriented or fixed-threshold logic, such as controlling energy storage charging and discharging based on electricity prices to reduce electricity costs. While such strategies can achieve local optimization in specific scenarios, they lack the ability to dynamically switch control logic based on real-time operating conditions (such as grid anomalies or sudden changes in load demand). They also cannot adaptively adjust the weights and priorities of multi-objective optimization, thus limiting the system's adaptability to dynamic operating conditions and the potential for improving overall energy efficiency. Furthermore, they struggle to coordinate multiple requirements in complex operating environments, thereby restricting the overall energy efficiency improvement potential of the system. Summary of the Invention

[0004] In view of the shortcomings of the prior art, the purpose of this application is to provide an integrated energy intelligent management and control system and its control method, which aims to solve the technical problem that the existing smart grid control strategies do not have the ability to make multi-objective adaptive adjustments.

[0005] The first aspect of this application relates to a control method for an integrated energy intelligent management and control system, comprising: The system monitors the operating parameters in real time. If a power grid fault signal is detected, the system is controlled to switch to the first operating mode to ensure the power supply to the critical loads in the system. If no grid fault signal is detected, and the absolute difference between the green power output and the total load power in the system is found to be greater than a preset power threshold, the system is controlled to switch to the second operating mode, and the battery charging and discharging power and flexible load power are dynamically adjusted in response to the absolute difference. If no grid fault signal is detected and the absolute difference is not greater than the power threshold, the system is controlled to switch to the third operating mode, and the battery charging and discharging power is adjusted based on maximizing the system's energy benefits.

[0006] Preferably, the first operating mode specifically involves: obtaining the maximum discharge power of the battery based on the battery's state of charge, and obtaining the critical load power; the battery discharging only at the critical load based on the minimum value between the maximum discharge power of the battery and the critical load power.

[0007] Preferably, the second operating mode is as follows: If the green power output is greater than the total load power, then it is further determined whether the state of charge of the battery is less than the upper limit of the battery's safe capacity. If so, the maximum charging power of the battery is obtained based on the state of charge of the battery, and the battery is charged based on the minimum value between the maximum charging power of the battery and the absolute difference. Otherwise, the battery stops charging, and the flexible load power is increased based on the absolute difference. If the green power output is less than the total load power, then it is further determined whether the state of charge of the battery is greater than the lower limit of the battery's safe charge. If so, the maximum discharge power of the battery is obtained based on the state of charge of the battery, and the battery discharges based on the minimum value between the maximum discharge power of the battery and the absolute difference. Otherwise, the battery stops discharging, and the flexible load power is reduced based on the absolute difference.

[0008] Preferably, the third operating mode is as follows: If the current period is a period of off-peak electricity prices, then it is further determined whether the state of charge of the battery is less than the upper limit of the battery's safe capacity. If so, the maximum charging power of the battery is obtained based on the state of charge of the battery, and the battery is charged based on the maximum charging power of the battery; otherwise, the battery stops charging. If the current period is a peak electricity price period, then it is further determined whether the following conditions are met: the state of charge of the battery is greater than the lower limit of the battery's safe capacity, and the green electricity output power is less than the total load power; if so, the maximum discharge power of the battery is obtained based on the state of charge of the battery, and the battery discharges based on the minimum value between the maximum discharge power of the battery and the absolute difference; otherwise, the battery stops discharging. If the current period is a flat electricity price period, the battery will stop charging and discharging.

[0009] Preferably, the maximum discharge power of the battery is obtained based on the state of charge of the battery, specifically as follows: The discharge margin of the battery is obtained based on the state of charge of the battery. Obtain the relative discharge ratio of the battery's discharge margin within the safe power range; The maximum discharge power of the battery is equal to the relative discharge ratio multiplied by the rated discharge power of the battery. The safe power range is equal to the area between the lower limit of the safe power of the battery and the upper limit of the safe power of the battery.

[0010] Preferably, the maximum charging power of the battery is obtained based on the state of charge of the battery, specifically as follows: The remaining charge capacity of the battery is obtained based on the state of charge of the battery. Obtain the relative charging ratio of the battery's charging margin within the safe charging range; The maximum charging power of the battery is equal to the relative charging ratio multiplied by the rated charging power of the battery. The safe power range is equal to the area between the lower limit of the safe power of the battery and the upper limit of the safe power of the battery.

[0011] The second aspect of this application relates to an integrated intelligent energy management and control system, including a green electricity unit, a battery unit, a load unit, and a flexible load unit, and further comprising: A signal monitoring unit is used to monitor the operating parameters of various parts of the system in real time. The intelligent control unit is used to control the operation of the system according to the operating parameters, specifically: If a power grid fault signal is detected, the system is controlled to switch to the first operating mode to forcibly ensure the power supply to the critical loads in the system; If no grid fault signal is detected, and the absolute difference between the green power output and the total load power in the system is found to be greater than a preset power threshold, the system is controlled to switch to the second operating mode, and the battery charging and discharging power and flexible load power are dynamically adjusted in response to the absolute difference. If no grid fault signal is detected and the absolute difference is not greater than the power threshold, the system is controlled to switch to the third operating mode, and the battery charging and discharging power is adjusted based on maximizing the system's energy benefits.

[0012] Preferably, the first operating mode specifically involves: obtaining the maximum discharge power of the battery based on the battery's state of charge, and obtaining the critical load power; the battery discharging only at the critical load based on the minimum value between the maximum discharge power of the battery and the critical load power.

[0013] Preferably, the second operating mode is as follows: If the green power output is greater than the total load power, then it is further determined whether the state of charge of the battery is less than the upper limit of the battery's safe capacity. If so, the maximum charging power of the battery is obtained based on the state of charge of the battery, and the battery is charged based on the minimum value between the maximum charging power of the battery and the absolute difference. Otherwise, the battery stops charging, and the flexible load power is increased based on the absolute difference. If the green power output is less than the total load power, then it is further determined whether the state of charge of the battery is greater than the lower limit of the battery's safe charge. If so, the maximum discharge power of the battery is obtained based on the state of charge of the battery, and the battery discharges based on the minimum value between the maximum discharge power of the battery and the absolute difference. Otherwise, the battery stops discharging, and the flexible load power is reduced based on the absolute difference.

[0014] Preferably, the third operating mode is as follows: If the current period is a period of off-peak electricity prices, then it is further determined whether the state of charge of the battery is less than the upper limit of the battery's safe capacity. If so, the maximum charging power of the battery is obtained based on the state of charge of the battery, and the battery is charged based on the maximum charging power of the battery; otherwise, the battery stops charging. If the current period is a peak electricity price period, then it is further determined whether the following conditions are met: the state of charge of the battery is greater than the lower limit of the battery's safe capacity, and the green electricity output power is less than the total load power; if so, the maximum discharge power of the battery is obtained based on the state of charge of the battery, and the battery discharges based on the minimum value between the maximum discharge power of the battery and the absolute difference; otherwise, the battery stops discharging. If the current period is a flat electricity price period, the battery will stop charging and discharging.

[0015] Overall, the technical solutions conceived in this application have the following beneficial effects compared with the prior art: (1) This application takes the safety, stability and economy of the integrated energy system as optimization objectives, coordinates multiple objective requirements in a complex operating environment, designs multiple operating models, and performs adaptive dynamic switching according to preset conditions. This achieves the leap from single objective and fixed logic to multi-objective dynamic collaborative optimization, thereby breaking through the limitation of fixed mode on the improvement of system comprehensive energy efficiency, and realizing the goal of maximizing system comprehensive energy efficiency, efficient consumption of renewable energy and comprehensive improvement of operation safety and reliability.

[0016] (2) In this application, when the green power output of the system changes, the battery power and flexible load power are precisely "followed and compensated", thereby ensuring the smooth operation of the system by closely coordinating the load unit, battery unit and green power unit.

[0017] (3) In this application, the charging and discharging power of the battery unit will be dynamically designed according to the charge state of the battery, and the safe charge range of the battery will be designed. Through two constraint schemes, the system safety, stability and economy are guaranteed while the life of the battery unit is maximized. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating a control method for an integrated energy intelligent management and control system provided in an embodiment of this application.

[0019] Figure 2 This is a flowchart illustrating the first operating mode provided in the embodiments of this application.

[0020] Figure 3 This is a flowchart illustrating the second operating mode provided in the embodiments of this application.

[0021] Figure 4 This is a flowchart illustrating the third operating mode provided in the embodiments of this application.

[0022] Figure 5 This is a schematic diagram of the structure of an integrated energy intelligent management and control system provided in an embodiment of this application.

[0023] Figure 6 This is a simulated curve of photovoltaic power generation and electricity price provided in the embodiments of this application.

[0024] Figure 7 This is a simulated curve of wind power generation and load power provided in the embodiments of this application.

[0025] Figure 8 This is a comparison chart of the output power curves of the integrated energy system provided in this application embodiment under smooth mode and economic mode.

[0026] Figure 9 This is a comparison chart of the battery SOC curves of the integrated energy system provided in this application embodiment under smooth mode and economy mode. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0028] In this application, the terms "first" and "second," etc., are used to distinguish different objects, not to describe a specific order of objects. For example, "first operating mode" and "second operating mode," etc., are used to distinguish different operating modes, not to describe a specific order of operating modes.

[0029] In this application, the term "electrical connection" can refer to a direct circuit connection or a signal transmission via a communication protocol.

[0030] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0031] In the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more, for example, multiple processing units means two or more processing units, multiple elements means two or more elements, etc.

[0032] The embodiments of this application are described below with reference to the accompanying drawings.

[0033] This application provides a control method for an integrated energy intelligent management and control system. This method is based on an adaptive collaborative control mechanism of multi-objective priority arbitration and state perception. It abandons simple judgments based on single conditions and establishes a hierarchical logical judgment model to achieve seamless mode switching. The hierarchy mainly includes: First priority (safety layer): When a power grid fault signal is detected (in this embodiment, if the GridStatus signal of the power grid is detected), the system has the highest control authority and unconditionally forces the system to enter the first operating mode (standby mode) to ensure power supply to critical loads; Second priority (stabilization layer): When the power grid is normal, if the difference between the load power and the green power output in the real-time monitoring system exceeds the preset power threshold, the system will switch to the second operating mode (smoothing mode) to suppress the impact. Third priority (economic level): Only when the power grid is normal and the system fluctuation is within the allowable range, and when it is identified that the current time-of-use electricity price range is in effect, will it automatically enter the third operating mode (economic mode) and execute the low charge and high discharge strategy.

[0034] The specific methods and procedures are as follows: Figure 1 As shown, it includes the following steps: (1) Monitor the operating parameters of the system in real time. If a grid fault signal is detected, proceed to step (2) and control the system to switch to the first operating mode to ensure the power supply of the critical load in the system. If the absolute difference between the green power output and the total load power in the system is greater than the preset power threshold and no grid fault signal is detected, proceed to step (3) and control the system to switch to the second operating mode to dynamically adjust the battery charging and discharging power and the flexible load power in response to the absolute difference. If the absolute difference is not greater than the power threshold and no grid fault signal is detected, proceed to step (4) and control the system to switch to the third operating mode to adjust the battery charging and discharging power based on maximizing the energy benefits of the system.

[0035] In the first operating mode, based on the real-time power demand of the critical load and the current state of charge (SOC) of the battery, a sustainable power supply is output to prioritize ensuring the stable operation of the load over a long period of time.

[0036] In the second operating mode, the state of charge (SOC) of the battery is introduced as the underlying constraint variable for power calculation, and a SOC-power linear function is constructed to achieve a dynamic adaptive balance between the control target and the physical boundary of the equipment.

[0037] In the third operating mode, the charging and discharging strategy is optimized based on the time-of-use electricity price difference, and a dual constraint logic of "electricity price-electricity capacity" is adopted: the system will only execute the discharge command when the electricity price is at its peak and the battery SOC is higher than the discharge threshold; conversely, the system will only execute the charging command when the following conditions are met: the electricity price is at its lowest, the system load is greater than the system's green power output, and the SOC is lower than the charging limit. If any of the above conditions are not met, the system will be forced to maintain a standby state to avoid ineffective battery loss.

[0038] (2) such as Figure 2 As shown, the maximum discharge power of the battery is obtained based on the battery's state of charge, and the critical load power is obtained; the battery discharges only to the critical load based on the minimum value between the maximum discharge power and the critical load power. Then, return to step (1).

[0039] Specifically, the maximum discharge power of the battery is as follows: The remaining discharge capacity of the battery is obtained based on its state of charge: ; Obtain the safe charge range of the battery, which is the area between the lower limit and the upper limit of the battery's safe charge. : ; Obtain the relative discharge ratio of the battery's discharge margin within the safe charge range. : ; The maximum discharge power of the battery Equals the relative discharge ratio multiplied by the battery's rated discharge power. : ; (3) such as Figure 3 As shown, the green power output is compared with the total load power. If the green power output is greater than the total load power, proceed to step (31). If the green power output is less than the total load power, proceed to step (32). Then return to step (1).

[0040] (31) Further determine whether the state of charge of the battery is less than the upper limit of the safe capacity of the battery. If yes, obtain the maximum charging power of the battery based on the state of charge of the battery, and charge the battery based on the minimum value between the maximum charging power of the battery and the absolute difference; otherwise, stop charging the battery and increase the flexible load power based on the absolute difference; wherein, the maximum charging power of the battery is specifically: The remaining charge capacity of the battery is obtained based on its state of charge: ; Obtain the safe charge range of the battery, which is the area between the lower limit and the upper limit of the battery's safe charge. : ; Obtain the relative charging ratio of the battery's charging margin within the safe charging range. : ; The maximum charging power of the battery Equal to the relative charging ratio multiplied by the battery's rated charging power : ; (32) Further determine whether the state of charge of the battery is greater than the lower limit of the safe power of the battery. If yes, obtain the maximum discharge power of the battery based on the state of charge of the battery, and discharge the battery based on the minimum value between the maximum discharge power of the battery and the absolute difference; otherwise, the battery stops discharging and the flexible load power is reduced based on the absolute difference.

[0041] (4) such as Figure 4As shown, the current electricity price period is determined. If it is a valley electricity price period, the process proceeds to step (41); if it is a peak electricity price period, the process proceeds to step (42); if it is an evaluation electricity price period, the process proceeds to step (43). Then, the process returns to step (1).

[0042] (41) Further determine whether the state of charge of the battery is less than the upper limit of the safe power of the battery. If yes, obtain the maximum charging power of the battery based on the state of charge of the battery, and charge the battery based on the maximum charging power of the battery; otherwise, stop charging the battery. (42) Further determine whether the following conditions are met: the state of charge of the battery is greater than the lower limit of the safe power of the battery, and the green power output is less than the total load power; if yes, the maximum discharge power of the battery is obtained based on the state of charge of the battery, and the battery discharges based on the minimum value between the maximum discharge power of the battery and the absolute difference; otherwise, the battery stops discharging. (43) The battery stops charging and discharging.

[0043] like Figure 5 The diagram illustrates an integrated energy intelligent management and control system according to an embodiment of this application, comprising a green electricity unit, a battery unit, a load unit, a flexible load unit, a signal monitoring unit, and an intelligent control unit. The various units interact and coordinate control through multi-protocol communication links.

[0044] In this embodiment: The flexible load unit includes an electric vehicle charging station and a central air conditioning system, and its output power can be dynamically adjusted.

[0045] Green electricity units include wind power generation units and solar power generation units.

[0046] The load units include lighting appliances, office appliances, household appliances, and production appliances.

[0047] The signal monitoring unit includes multiple data acquisition units and sensors to collect operating parameters of the power grid and each unit.

[0048] The intelligent control unit is the core of this system, and it performs multi-mode intelligent decision-making based on the following parameters collected by the signal monitoring unit: Power grid status parameters (faults, voltage, frequency, power); Electricity price periods (peak, off-peak, average); Green energy unit output power; State of Charge (SOC) of a battery cell; Flexible load unit power; Total system load power; The intelligent control unit is used to control the operation of the system according to the operating parameters, and its control logic is as follows: If a power grid fault signal is detected, the system is controlled to switch to the first operating mode to forcibly ensure the power supply to the critical loads in the system; If the absolute difference between the green power output and the total load power in the system is detected to be greater than a preset power threshold, and no grid fault signal is detected, the system is controlled to switch to the second operating mode, and the battery charging and discharging power and flexible load power are dynamically adjusted in response to the absolute difference. If the absolute difference is not greater than the power threshold and no grid fault signal is detected, the system is controlled to switch to the third operating mode, and the battery charging and discharging power is adjusted based on maximizing the system's energy benefits.

[0049] First, a simulation experiment is conducted based on the above control logic. A system simulation model is then built using MATLAB / Simulink, and the input is as follows: Figure 6 The electricity price and photovoltaic power generation shown are input as follows: Figure 7 The wind power generation and load power shown are used to simulate and test three control strategies. The simulation results are as follows: Figure 8 , Figure 9 As shown, the dynamic response curves of key indicators (such as SOC, power, and state of charge / discharge) are displayed under the third operating mode (mode economy) and the second operating mode (smooth mode), respectively: According to the curve, the third operating mode (economic mode) is controlled when the electricity price fluctuates. It charges the energy storage unit during the off-peak period and discharges during the peak period to achieve the economical operation of "low charging and high discharging". However, the power curve shows a step fluctuation signal when the electricity price fluctuates, and the smoothness is poor. The second operating mode (smoothing mode) monitors the power fluctuations of wind and solar power output and load demand in real time. When the fluctuation exceeds the set threshold, the energy storage unit is triggered to perform compensatory charging and discharging, and maintains a high SOC value. When the wind and solar power generation power drops sharply or the load increases suddenly, the high SOC energy storage unit can immediately provide strong power support, quickly "fill" the power gap, and effectively smooth out the fluctuations.

[0050] By combining the above two modes with the first operating mode (standby mode) to ensure circuit safety, this multi-objective energy storage decision-making mode enables the system to maintain a smooth effect while taking into account most of the economic benefits, and the overall performance is improved compared to the single optimal mode.

[0051] It should be understood that the above-described device is used to execute the methods in the above embodiments. The implementation principle and technical effect of the corresponding program modules in the device are similar to those described in the above methods. The working process of the device can be referred to the corresponding process in the above methods, and will not be repeated here.

[0052] It is understood that the various numerical designations used in the embodiments of this application are merely for the convenience of description and are not intended to limit the scope of the embodiments of this application.

[0053] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A control method for an integrated energy intelligent management and control system, characterized in that, include: The system monitors the operating parameters in real time. If a power grid fault signal is detected, the system is controlled to switch to the first operating mode to ensure the power supply to the critical loads in the system. If no grid fault signal is detected, and the absolute difference between the green power output and the total load power in the system is found to be greater than a preset power threshold, the system is controlled to switch to the second operating mode, and the battery charging and discharging power and flexible load power are dynamically adjusted in response to the absolute difference. If no grid fault signal is detected and the absolute difference is not greater than the power threshold, the system is controlled to switch to the third operating mode, and the battery charging and discharging power is adjusted based on maximizing the system's energy benefits.

2. The control method according to claim 1, characterized in that, The first operating mode specifically involves: obtaining the maximum discharge power of the battery based on the battery's state of charge, and obtaining the critical load power; the battery discharging only at the critical load based on the minimum value between the maximum discharge power and the critical load power.

3. The control method according to claim 1, characterized in that, The second operating mode is as follows: If the green power output is greater than the total load power, then it is further determined whether the state of charge of the battery is less than the upper limit of the battery's safe capacity. If so, the maximum charging power of the battery is obtained based on the state of charge of the battery, and the battery is charged based on the minimum value between the maximum charging power of the battery and the absolute difference. Otherwise, the battery stops charging, and the flexible load power is increased based on the absolute difference. If the green power output is less than the total load power, then it is further determined whether the state of charge of the battery is greater than the lower limit of the battery's safe charge. If so, the maximum discharge power of the battery is obtained based on the state of charge of the battery, and the battery discharges based on the minimum value between the maximum discharge power of the battery and the absolute difference. Otherwise, the battery stops discharging, and the flexible load power is reduced based on the absolute difference.

4. The control method according to claim 1, characterized in that, The third operating mode is specifically as follows: If the current period is a period of off-peak electricity prices, then it is further determined whether the state of charge of the battery is less than the upper limit of the battery's safe capacity. If so, the maximum charging power of the battery is obtained based on the state of charge of the battery, and the battery is charged based on the maximum charging power of the battery; otherwise, the battery stops charging. If the current period is a peak electricity price period, then it is further determined whether the following conditions are met: the state of charge of the battery is greater than the lower limit of the battery's safe capacity, and the green electricity output power is less than the total load power; if so, the maximum discharge power of the battery is obtained based on the state of charge of the battery, and the battery discharges based on the minimum value between the maximum discharge power of the battery and the absolute difference; otherwise, the battery stops discharging. If the current period is a flat electricity price period, the battery will stop charging and discharging.

5. The control method according to claim 2, 3 or 4, characterized in that, The maximum discharge power of the battery is obtained based on its state of charge, specifically as follows: The discharge margin of the battery is obtained based on the state of charge of the battery. Obtain the relative discharge ratio of the battery's discharge margin within the safe power range; The maximum discharge power of the battery is equal to the relative discharge ratio multiplied by the rated discharge power of the battery. The safe power range is equal to the area between the lower limit of the safe power of the battery and the upper limit of the safe power of the battery.

6. The control method according to claim 3 or 4, characterized in that, The maximum charging power of the battery is obtained based on its state of charge, specifically as follows: The remaining charge capacity of the battery is obtained based on the state of charge of the battery. Obtain the relative charging ratio of the battery's charging margin within the safe charging range; The maximum charging power of the battery is equal to the relative charging ratio multiplied by the rated charging power of the battery. The safe power range is equal to the area between the lower limit of the safe power of the battery and the upper limit of the safe power of the battery.

7. A comprehensive intelligent energy management and control system, comprising a green electricity unit, a battery unit, a load unit, and a flexible load unit, characterized in that, Also includes: A signal monitoring unit is used to monitor the operating parameters of various parts of the system in real time. The intelligent control unit is used to control the operation of the system according to the operating parameters, specifically: If a power grid fault signal is detected, the system is controlled to switch to the first operating mode to forcibly ensure the power supply to the critical loads in the system; If no grid fault signal is detected, and the absolute difference between the green power output and the total load power in the system is found to be greater than a preset power threshold, the system is controlled to switch to the second operating mode, and the battery charging and discharging power and flexible load power are dynamically adjusted in response to the absolute difference. If no grid fault signal is detected and the absolute difference is not greater than the power threshold, the system is controlled to switch to the third operating mode, and the battery charging and discharging power is adjusted based on maximizing the system's energy benefits.

8. The integrated energy intelligent management and control system according to claim 7, characterized in that, The first operating mode specifically involves: obtaining the maximum discharge power of the battery based on the battery's state of charge, and obtaining the critical load power; the battery discharging only at the critical load based on the minimum value between the maximum discharge power and the critical load power.

9. The integrated energy intelligent management and control system according to claim 7, characterized in that, The second operating mode is as follows: If the green power output is greater than the total load power, then it is further determined whether the state of charge of the battery is less than the upper limit of the battery's safe capacity. If so, the maximum charging power of the battery is obtained based on the state of charge of the battery, and the battery is charged based on the minimum value between the maximum charging power of the battery and the absolute difference. Otherwise, the battery stops charging, and the flexible load power is increased based on the absolute difference. If the green power output is less than the total load power, then it is further determined whether the state of charge of the battery is greater than the lower limit of the battery's safe charge. If so, the maximum discharge power of the battery is obtained based on the state of charge of the battery, and the battery discharges based on the minimum value between the maximum discharge power of the battery and the absolute difference. Otherwise, the battery stops discharging, and the flexible load power is reduced based on the absolute difference.

10. The integrated energy intelligent management and control system according to claim 7, characterized in that, The third operating mode is specifically as follows: If the current period is a period of off-peak electricity prices, then it is further determined whether the state of charge of the battery is less than the upper limit of the battery's safe capacity. If so, the maximum charging power of the battery is obtained based on the state of charge of the battery, and the battery is charged based on the maximum charging power of the battery; otherwise, the battery stops charging. If the current period is a peak electricity price period, then it is further determined whether the following conditions are met: the state of charge of the battery is greater than the lower limit of the battery's safe capacity, and the green electricity output power is less than the total load power; if so, the maximum discharge power of the battery is obtained based on the state of charge of the battery, and the battery discharges based on the minimum value between the maximum discharge power of the battery and the absolute difference; otherwise, the battery stops discharging. If the current period is a flat electricity price period, the battery will stop charging and discharging.

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