Control system and method of micro-grid multi-energy hybrid energy supply system

Abstract

The invention belongs to the technical field of electric power construction, and particularly relates to a control system and method of a micro-grid multi-energy hybrid energy supply system. Intelligent scheduling and optimal configuration of each energy supply source are realized through the steps of starting and initialization monitoring, load matching adjustment, total energy supply capability evaluation, energy supply source access or disconnection decision making, system efficiency evaluation, power distribution optimization, real-time output quantity adjustment, cyclic feedback and dynamic adjustment and the like. According to the method, the working parameters of each energy supply source can be monitored and dynamically adjusted in real time, efficient operation of the system under different load conditions is ensured, and the overall efficiency and stability of the system are remarkably improved. The adaptive capacity and the flexibility of the system are enhanced, so that the system can better cope with complex practical application scenes, and the problems of how to realize intelligent scheduling and optimal configuration among different energy supply sources so as to cope with dynamic changes of loads and ensure that the overall efficiency of the system is maximized are effectively solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power construction, and specifically relates to a control system and method for a microgrid multi-energy hybrid energy supply system. Background Art

[0002] In the current microgrid multi-energy hybrid energy supply system, multiple energy supply sources (such as solar energy, wind energy, energy storage batteries, etc.) are usually used to meet the load demand. The design goal of these systems is to ensure the efficient operation and stability of the system by optimizing the scheduling and configuration between different energy supply sources. Existing control methods mainly rely on preset scheduling strategies and fixed power allocation schemes, which are usually implemented based on historical data or pre-set rules.

[0003] For example, some existing systems schedule the operation of each energy supply source in advance based on weather forecasts or historical load data, and make limited adjustments during operation. However, this approach has the following limitations:

[0004] Static scheduling strategy: Many systems use static scheduling strategies, which cannot respond to dynamic changes in load in real time. Once the actual load deviates from the predicted value, the system may not be able to respond in time, resulting in reduced efficiency.

[0005] Lack of adaptive capabilities: Existing control systems often lack sufficient adaptive capabilities, making it difficult to automatically adjust the operating parameters of each energy supply source under different working conditions to achieve optimal energy supply.

[0006] Single-dimensional evaluation: Some systems only focus on a specific indicator (such as total output power) and ignore other important factors (such as overall system efficiency and stability), resulting in inflexible and inefficient system operation.

[0007] A major technical problem of the above-mentioned prior art is how to achieve intelligent scheduling and optimal configuration between different energy supply sources to cope with dynamic changes in load and ensure the maximization of overall system efficiency. In particular, in complex and changing actual application environments, static scheduling strategies and fixed power allocation schemes are difficult to meet the ever-changing load requirements, thus affecting the overall performance of the system. Summary of the invention

[0008] The purpose of the present invention is to provide a control system and method for a microgrid multi-energy hybrid energy supply system, which can monitor and dynamically adjust the working parameters of each energy supply source in real time, ensure that the system can operate efficiently under different load conditions, and significantly improve the overall efficiency and stability of the system. This not only solves the problems of static scheduling strategies and fixed power allocation schemes in the prior art, but also enhances the system's adaptability and flexibility, enabling it to better cope with complex practical application scenarios.

[0009] To achieve the above object, the present invention proposes a control method for a microgrid multi-energy hybrid energy supply system, comprising the following steps: S1: The first energy source is started and initialized, and its output status is monitored; S2: Based on the monitored output state, adjusting the operating parameters of the second energy source to match the load demand; S3: According to the working parameter adjustment results, evaluate the total energy supply capacity of all energy supply sources in the current system; S4: Based on the evaluation results, determine the energy supply source to be connected or disconnected in the next stage and perform corresponding operations; S5: recalculate the efficiency index of the entire system based on the latest connected or disconnected energy supply source; S6: Optimizing the power allocation scheme among various energy supply sources according to the obtained efficiency index; S7: Using the power allocation scheme, the output of each energy supply source is adjusted in real time; S8: Feedback the result of S7 to S1 for cyclic operation to dynamically respond to load changes.

[0010] Preferably, the first energy source is started and initialized, and its output state is monitored, including: After the first energy source is started and initialized, the initial output state is set to S0; According to S0, the output power of the first energy source is calculated, and the monitoring frequency is adjusted according to the calculated output power value; At the set monitoring frequency, continuously monitor the output state changes of the first energy source, record the changes in voltage and current in each cycle, and calculate the average output power; The calculated average output power is compared with the initial output power. If the difference is significant, the operating parameters of the first energy source are re-evaluated and S0 is updated according to the new parameters until the output is stable.

[0011] Preferably, adjusting the operating parameters of the second energy source to match the load demand based on the monitored output state includes: Calculating the load demand according to the monitored output state S0 of the first energy source; Based on the calculated load demand, determining a target output power that needs to be adjusted for the second energy source; Adjust the working parameters of the second energy source according to the target output power, set new working voltage and current, and ensure that the second energy source can provide the required power in an optimal manner; Under the adjusted parameters, the actual output power of the second energy source is monitored in real time and compared with the target output power; if there is a deviation, the working parameters of the second energy source are dynamically adjusted until the actual output power is close to or equal to the target output power.

[0012] Preferably, the step of evaluating the total energy supply capacity of all energy supply sources in the current system according to the working parameter adjustment result includes: Calculate the actual output power of the second energy source according to the adjusted working parameters of the second energy source; Calculate the total energy supply capacity of all energy supply sources in the system by combining the actual output power and the initial output power of the first energy source; Based on the calculated total energy supply capacity, evaluate the load matching degree of the current system; if the load matching degree is greater than 1, it means that the system has sufficient energy supply capacity; if it is less than 1, it needs to be optimized; According to the load matching results, dynamically adjust the priority order of each energy supply source; if the system is in a critical state, the energy allocation strategy needs to be adjusted immediately; Under the new priority weight, the target output power of each energy supply source is recalculated; by gradually adjusting the working parameters of each energy supply source, the total energy supply capacity of the system is ensured to match the load demand until the optimal matching state is reached.

[0013] Preferably, combining the evaluation results, determining the energy supply source to be connected or disconnected in the next stage, and performing corresponding operations, includes: According to the calculated load matching degree and priority order, determine whether the current system needs to connect or disconnect the energy supply source, and calculate the expected contribution value of each energy supply source that can be connected or needs to be disconnected; Sort all energy supply sources that can be connected or disconnected according to their expected contribution values, and select the energy supply source with the highest contribution value for operation; After selecting the energy supply source, adjust its operating parameters to adapt to the new load demand; if the energy supply source is newly connected, set its target output power; if it is an energy supply source that needs to be disconnected, gradually reduce its output power to zero; The overall performance change of the monitoring system after executing the above operations is recalculated, and the load matching degree is recalculated.

[0014] Preferably, the recalculation of the efficiency index of the entire system, based on the most recently connected or disconnected energy supply source, comprises: Record the status of all connected and disconnected energy supply sources and calculate the total energy supply capacity after the system is updated; Based on the updated total energy supply capacity and the current load demand, the efficiency index of the system is calculated; Evaluate the contribution of each energy supply source based on the calculated efficiency index; According to the contribution results, dynamically adjust the working parameters of each energy supply source to optimize system efficiency; for energy supply sources with high contribution, maintain or increase their output; For energy supply sources with low contribution, reduce their output or prepare to disconnect them, and recalculate system efficiency indicators.

[0015] Preferably, optimizing the power allocation scheme between energy supply sources according to the obtained efficiency index includes: Determine the overall operating status of the current system based on the calculated system efficiency index; Based on the calculated system efficiency index, calculate the efficiency contribution ratio of each energy supply source; According to the results of the efficiency contribution ratio, the target output power of each energy supply source is dynamically adjusted; Under the adjusted target output power, the total output power of the entire system is recalculated; at the same time, the load demand of the system is updated to ensure that the total energy supply capacity of the system matches the load demand; Re-evaluate the system's efficiency indicators based on the new total output power.

[0016] Preferably, the use of the power allocation scheme to adjust the output of each energy supply source in real time includes: Calculate the actual output power of each energy supply source according to the obtained target output power of each energy supply source; Based on the calculated difference between the actual output power and the target output power, assess whether the current energy supply sources need to be adjusted; According to the evaluation results, dynamically adjust the working parameters of each energy supply source; if the actual output power of an energy supply source is significantly different from the target output power, adjust its working parameters to achieve the target output power; Under the adjusted parameters, the actual output power of each energy supply source is monitored in real time, and the new total output power is calculated; at the same time, the load matching degree of the system is re-evaluated to ensure that the total energy supply capacity of the system matches the load demand; According to the new load matching degree, the output distribution of each energy supply source is optimized.

[0017] Preferably, the step of feeding back the result of S7 to S1 for cyclic operation to dynamically cope with load changes includes: Evaluate the overall operating status of the current system based on the calculated actual output power of each energy supply source and the new total output power; Based on the evaluation results, determine whether adjustment is needed, dynamically adjust the working parameters of the first energy source according to the evaluation results, and feed back its output state to S1; Under the adjusted parameters, the output state of the first energy source is re-monitored and compared with the initial output state. If the difference is significant, it indicates that the output of the first energy source needs to be optimized to maintain system stability. According to the comparison results, all steps from S1 to S7 are executed cyclically to ensure that the system can dynamically adjust the working parameters of each energy supply source under different load conditions.

[0018] On the other hand, the present invention proposes a control system for a microgrid multi-energy hybrid energy supply system, comprising: The startup and initialization monitoring module is used to start and initialize the first energy source and monitor its output status; The load matching adjustment module is used to adjust the working parameters of the second energy source to match the load demand based on the monitored output state; The total energy supply capacity evaluation module is used to evaluate the total energy supply capacity of all energy supply sources in the current system according to the working parameter adjustment results; The energy supply source connection or disconnection decision module is used to determine the energy supply source to be connected or disconnected in the next stage based on the evaluation results, and perform corresponding operations; The system efficiency evaluation module is used to recalculate the efficiency indicators of the entire system based on the latest connected or disconnected energy supply sources; The power allocation optimization module is used to optimize the power allocation scheme between various energy supply sources according to the obtained efficiency index; The real-time output adjustment module is used to adjust the output of each energy supply source in real time by using the power allocation scheme; The loop feedback and dynamic adjustment module is used to feed back the results of S7 to S1 for loop operation to dynamically respond to load changes.

[0019] Technical effects and advantages of the present invention: Compared with the prior art, the present invention provides a control system and method for a microgrid multi-energy hybrid energy supply system, which has the following advantages: The present invention realizes intelligent scheduling and optimal configuration of each energy supply source through the steps of startup and initialization monitoring, load matching adjustment, total energy supply capacity assessment, energy supply source connection or disconnection decision, system efficiency assessment, power distribution optimization, real-time adjustment of output, and loop feedback and dynamic adjustment. The method can monitor and dynamically adjust the working parameters of each energy supply source in real time to ensure that the system operates efficiently under different load conditions, significantly improving the overall efficiency and stability of the system. Compared with the static scheduling strategy and fixed power allocation scheme in the prior art, the present invention enhances the adaptive ability and flexibility of the system, enabling it to better cope with complex practical application scenarios, thereby effectively solving the problem of how to realize intelligent scheduling and optimal configuration between different energy supply sources to cope with dynamic changes in load and ensure the maximization of the overall efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flow chart of a control method of a microgrid multi-energy hybrid energy supply system of the present invention; Figure 2 This is a block diagram of the control system of the microgrid multi-energy hybrid energy supply system of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0022] The present invention provides Figure 1 A control method for a microgrid multi-energy hybrid energy supply system is shown, comprising the following steps: S1: The first energy source is started and initialized, and its output status is monitored; specifically, the steps include: After the first energy source is started and initialized, the initial output state is set to S0; this ensures that the system starts running from a known stable state and provides benchmark data for adjustment and optimization of subsequent steps.

[0023] According to S0, the output power Q0 of the first energy is calculated using the formula Q0=U0*J0, where U0 represents the initial voltage and J0 represents the initial current; by measuring the initial voltage and current, the initial output power of the first energy is calculated to provide basic data for subsequent monitoring and adjustment.

[0024] Next, the monitoring frequency F is adjusted according to the Q0 value, using the formula F=K / Q0, where K is a constant. It is used to determine the monitoring frequency at different power levels to ensure that the monitoring frequency is increased at low power output to improve the response speed; the monitoring frequency is dynamically adjusted to ensure more frequent monitoring at low power output, thereby improving the response speed and stability of the system.

[0025] At the set monitoring frequency F, the output state changes of the first energy are continuously monitored, the changes in voltage U and current J in each cycle are recorded, and the average output power Q_avg is calculated using the formula Q_avg=(U1*J1+U2*J2+...+Un*Jn) / n, where n is the number of monitoring cycles, and U1 to Un and J1 to Jn are the voltage and current values ​​measured in each cycle respectively; by continuously monitoring and recording the voltage and current changes in each cycle and calculating the average output power, it is ensured that the system can grasp the status of the energy supply source in real time.

[0026] Feed Q_avg back to Q0 in the second step for comparison. If Q_avg deviates significantly from Q0, re-evaluate the operating parameters of the first energy source and update S0 according to the new parameters. Repeat this step until the output is stable. By comparing the average output power with the initial output power, determine whether the system is stable. If there is a significant deviation, re-evaluate and adjust the operating parameters to ensure stable system output.

[0027] Example Assume there is a microgrid system where the primary energy source is solar panels. Here are the specific implementation steps: Start and initialize: The solar panel starts and initializes, setting the initial output state S0.

[0028] Assume that the initial voltage U0 is 12V and the initial current J0 is 5A.

[0029] Calculate the initial output power: Using the formula Q0=U0*J0, we get Q0=12V*5A=60W.

[0030] Adjust monitoring frequency: Set the constant K to 1000 and use the formula F=K / Q0 to get F=1000 / 60≈16.67 times / hour. This means that approximately 17 times of monitoring are required per hour.

[0031] Continuously monitors and calculates average output power: At the set monitoring frequency, record the voltage and current changes in each cycle. Assuming that 17 measurements are taken in the first hour, the measured data are as follows: First measurement: U1=12V, J1=4.8A; Second measurement: U2=12.1V, J2=4.9A; ... The seventeenth measurement: U17=11.9V, J17=4.7A; Calculate the average output power Q_avg=(U1*J1+U2*J2+...+U17*J17) / 17: Q_avg=(12*4.8+12.1*4.9+...+11.9*4.7) / 17≈58.5W.

[0032] Feedback and Adjustment: Comparing Q_avg (58.5W) with Q0 (60W), we found a significant difference (ΔQ = |58.5-60| = 1.5W). Therefore, we re-evaluated the operating parameters of the solar panel (such as cleanliness, lighting conditions, etc.), updated S0 according to the new parameters, and continued to monitor until the output stabilized.

[0033] Through the above steps, the system can monitor and adjust the output status of the first energy in real time to ensure that it can operate efficiently and stably under different working conditions.

[0034] S2: Based on the monitored output state, adjusting the operating parameters of the second energy source to match the load demand; specifically comprising the following steps: According to the monitored output state S0 of the first energy source, the load demand Ld is calculated using the formula Ld=Q0-R_load, where Q0 is the output power of the first energy source and R_load is the current actual load power; by calculating the load demand, the current energy gap of the system is determined, providing a basis for the subsequent adjustment of the second energy source.

[0035] Based on the Ld value, the target output power Q1 that needs to be adjusted for the second energy is determined using the formula Q1=Ld+M, where M is a correction factor used to compensate for energy transmission losses and system efficiency losses. By introducing the correction factor M, it is ensured that the target output power can compensate for energy transmission losses and system efficiency losses, so that the second energy can accurately meet the load requirements.

[0036] Next, adjust the operating parameters of the second energy source according to Q1, set new operating voltage U1 and current J1, and use the formulas U1=sqrt(Q1 / R) and J1=Q1 / U1, where R is the preset resistance value, to ensure that the second energy source can provide the required power in the best way; by adjusting the operating parameters (voltage and current) of the second energy source, it can work according to the target output power, ensuring efficient operation of the system.

[0037] Under the adjusted parameters, the actual output power Q_actual of the second energy source is monitored in real time, and the deviation ΔQ (ΔQ=|Q_actual-Q1|) from the target output power Q1 is calculated, and the working parameters of the second energy source are dynamically adjusted. The above steps are repeated until Q_actual is close to or equal to Q1 to ensure that the load demand is met. Through real-time monitoring and adjustment, the actual output power of the second energy source can be stably close to the target output power, thereby meeting the load demand.

[0038] Example Assume there is a microgrid system where the first energy source is solar panels and the second energy source is energy storage batteries. The following are the specific implementation steps: Calculate load requirements: Assume that the initial output power Q0 of the first energy source is 60W, and the current actual load power R_load is 80W.

[0039] Using the formula Ld = Q0-R_load, we get Ld = 60W-80W = -20W. This means the system needs an additional 20W of power to meet the load demand.

[0040] Determine the target output power of the second energy source: The correction factor M is set to 5W to compensate for energy transmission loss and system efficiency loss.

[0041] Using the formula Q1=Ld+M, we get Q1=-20W+5W=-15W. Since Q1 is a negative value, it means that the second energy source needs to provide 15W of power.

[0042] Adjust the working parameters of the second energy source: Assume that the preset resistance value R is 4 ohms.

[0043] Using the formula U1=sqrt(Q1 / R), we get U1=sqrt(-15W / 4Ω)=sqrt(3.75V^2)≈1.94V.

[0044] Using the formula J1=Q1 / U1, we get J1=-15W / 1.94V≈-7.73A. Note that the negative value here means that the energy storage battery is used as a power source to supply power to the system.

[0045] Real-time monitoring and adjustment: Under the adjusted parameters, the actual output power Q_actual of the second energy source is monitored in real time. Assume that the actual output power obtained in the first measurement is Q_actual=-14W.

[0046] The calculated deviation ΔQ=|Q_actual-Q1|=|-14W-(-15W)|=1W.

[0047] If the deviation exceeds the preset threshold (for example, 0.5W), the operating parameters of the second energy source need to be further adjusted. Assume that after the adjustment, the actual output power obtained by the second measurement is Q_actual=-14.9W, and the deviation ΔQ=|-14.9W-(-15W)|=0.1W, which is less than the preset threshold. At this time, the system can be considered stable.

[0048] S3: According to the working parameter adjustment results, the total energy supply capacity of all energy supply sources in the current system is evaluated; specifically, the steps include: According to the adjusted working parameters of the second energy source (U1 and J1), its actual output power Q1 is calculated using the formula Q1=U1*J1; by calculating the actual output power of the second energy source, data support is provided for the subsequent evaluation of the total energy supply capacity of the system.

[0049] Combined with the Q1 value and the initial output power Q0 of the first energy source, the total energy supply capacity G_total of all energy supply sources in the system is calculated using the formula G_total=Q0+Q1+...+Qn, where Qn represents the actual output power of other energy supply sources. For this step, assuming that there are only two energy sources, then G_total=Q0+Q1; by accumulating the actual output power of each energy supply source, the total energy supply capacity of the system is calculated to provide basic data for the subsequent evaluation of load matching.

[0050] Based on the G_total value, evaluate the load matching degree H_match of the current system, using the formula H_match=G_total / Ld, where Ld is the load demand obtained. If H_match is greater than 1, it means that the system has sufficient energy supply capacity; if it is less than 1, further optimization is required; by calculating the load matching degree, it is determined whether the energy supply of the system can meet the load demand, providing a basis for subsequent adjustments.

[0051] Next, according to the result of H_match, dynamically adjust the priority order of each energy supply source, set the priority weight X, and use the formula X=(G_total-Ld) / G_total. If X is close to or equal to 0, it indicates that the system is in a critical state and the energy allocation strategy needs to be adjusted immediately; by setting the priority weight, dynamically adjust the working parameters of each energy supply source to ensure that the system operates efficiently under different working conditions.

[0052] Under the new priority weight X, recalculate the target output power Q_target of each energy supply source, using the formula Q_target=X*G_total. By gradually adjusting the operating parameters of each energy supply source, ensure that the total energy supply capacity of the system matches the load demand, and repeat the above steps until the optimal matching state is reached. By recalculating the target output power, dynamically adjust the operating parameters of each energy supply source to ensure that the total energy supply capacity of the system matches the load demand.

[0053] Example Assume there is a microgrid system where the first energy source is solar panels and the second energy source is energy storage batteries. The following are the specific implementation steps: Calculate the actual output power of the second energy source: Assume that the adjusted working parameters of the second energy source are U1=1.94V, J1=-7.73A (powered by energy storage battery).

[0054] Using the formula Q1=U1*J1, we get Q1=1.94V*(-7.73A)≈-15W.

[0055] Calculate the total energy supply capacity of all energy supply sources in the system: Assume that the initial output power Q0 of the first energy source is 60W.

[0056] Using the formula G_total=Q0+Q1, we get G_total=60W+(-15W)=45W.

[0057] Evaluate the load matching of the current system: Assume that the current actual load power R_load is 80W, so Ld=R_load-Q0=80W-60W=20W.

[0058] Using the formula H_match=G_total / Ld, we get H_match=45W / 20W=2.25. Since H_match is greater than 1, it means that the system has sufficient energy supply capacity.

[0059] Dynamically adjust the priority order of each energy supply source: Using the formula X=(G_total-Ld) / G_total, we get X=(45W-20W) / 45W≈0.56.

[0060] If X is close to or equal to 0, the system is in a critical state, but in this case X is not close to 0 and the system does not need urgent adjustment.

[0061] Recalculate the target output power for each energy supply source: Using the formula Q_target=X*G_total, we get Q_target=0.56*45W≈25.2W.

[0062] According to Q_target, the operating parameters of each energy supply source are gradually adjusted to ensure that the total energy supply capacity of the system matches the load demand. For example, the output power of the energy storage battery can be reduced to make it closer to the target output power.

[0063] S4: Based on the evaluation results, determine the energy supply source to be connected or disconnected in the next stage and perform corresponding operations; specifically, the following steps are included: According to the calculated load matching degree H_match and priority weight X, determine whether the current system needs to connect or disconnect the energy supply source. If H_match is less than 1 and X is close to 0, it indicates that the energy supply needs to be increased; conversely, if H_match is significantly greater than 1 and X is close to 1, it may be necessary to reduce the energy supply; by analyzing the load matching degree and priority weight, it is determined whether the system needs to increase or reduce the energy supply, providing a basis for subsequent decision-making.

[0064] Based on the above results, the expected contribution value Y of each energy supply source that can be connected or needs to be disconnected is calculated using the formula Y=(G_total-Ld) / N, where N is the number of energy supply sources that are available but not connected (for the case of disconnection, N is the number of energy supply sources that are connected but considered to be disconnected). This step is used to quantify the impact of each energy supply source on the total energy supply capacity of the system; by calculating the expected contribution value, the impact of each energy supply source on the total energy supply capacity of the system is quantified, providing data support for selecting the best energy supply source.

[0065] Next, sort all the energy sources that can be connected or disconnected according to the Y value, and select the energy source with the highest contribution value for operation. Assuming that the selected energy source is X, and its initial output power is Qx, use the formula Qx=Ux*Jx, where Ux and Jx are the voltage and current of the energy source respectively; by sorting and selecting the energy source with the highest contribution value, ensure that the system can efficiently adjust the energy supply to meet the load demand.

[0066] After selecting the energy supply source X, adjust its operating parameters to adapt to the new load demand. If X is a newly connected energy supply source, set its target output power Q_target_x, and use the formula Q_target_x=Ld-G_total+Qx to ensure that the total energy supply capacity of the system matches the load demand. If X is an energy supply source that needs to be disconnected, gradually reduce its output power to zero; by adjusting the operating parameters of the selected energy supply source, ensure that it can adapt to the new load demand, thereby optimizing the total energy supply capacity of the system.

[0067] Finally, monitor the overall performance changes of the system after performing the above operations, and recalculate the load matching degree H_match_new, using the formula H_match_new=(G_total_new+Qx) / Ld, where G_total_new is the total energy supply capacity of the system after adjustment. If H_match_new is close to 1, it means that the adjustment is successful; otherwise, repeat the above steps until the optimal matching state is reached. By recalculating the load matching degree, the overall performance changes of the system are evaluated to ensure that the system can operate efficiently under different working conditions.

[0068] Example Assume there is a microgrid system where the first energy source is solar panels, the second energy source is energy storage batteries, and the third energy source is diesel generators. The following are the specific implementation steps: Determine if you need to connect or disconnect the energy supply source: Assume that the load matching degree H_match is 0.85 and the priority weight X is 0.15.

[0069] Since H_match is less than 1 and X is close to 0, it indicates that the system needs to increase energy supply.

[0070] Calculate the expected contribution of each accessible energy supply source: Assume that the total energy supply capacity G_total of the system is 45W and the load demand Ld is 80W.

[0071] The available but unconnected energy supply sources are diesel generators, the number N of which is 1.

[0072] Using the formula Y = (G_total - Ld) / N, we get Y = (45W - 80W) / 1 = -35W. The negative value means that the system needs an additional 35W of power to meet the load demand.

[0073] Sort and select the energy supply sources with the highest contribution: Assume that diesel generators are selected as the additional energy supply source.

[0074] The initial voltage Ux of the diesel generator was measured to be 24V, and the initial current Jx was 1.5A.

[0075] Using the formula Qx=Ux*Jx, we get Qx=24V*1.5A=36W.

[0076] Adjust the operating parameters of the newly connected energy supply source: Set the target output power Q_target_x of the diesel generator, and use the formula Q_target_x=Ld-G_total+Qx to get Q_target_x=80W-45W+36W=71W.

[0077] Adjust the operating parameters of the diesel generator so that its output power is close to 71W.

[0078] Monitor changes in overall system performance and recalculate load matching: Assume that the adjusted total system energy supply capacity G_total_new is 45W+36W=81W.

[0079] Using the formula H_match_new=(G_total_new+Qx) / Ld, we get H_match_new=(81W) / 80W≈1.01.

[0080] Since H_match_new is close to 1, it indicates that the adjustment is successful.

[0081] S5: Recalculate the efficiency index of the entire system based on the latest connected or disconnected energy supply source; specifically, the following steps are included: After completion, record the status of all connected and disconnected energy supply sources. Assuming that the newly connected or disconnected energy supply source is X, and its output power is Qx (if disconnected, Qx is 0), calculate the updated total energy supply capacity of the system G_total_new, using the formula G_total_new=G_total_old+Qx, where G_total_old is the total energy supply capacity of the system before adjustment; by recording and calculating the updated total energy supply capacity, provide basic data for subsequent evaluation of the overall operating efficiency of the system.

[0082] Based on the G_total_new value and the current load demand Ld, the system efficiency index Eff is calculated using the formula Eff=(G_total_new / Ld)*100%. This step is used to quantify the overall operating efficiency of the system to ensure that it can meet the load demand while maximizing energy utilization; by calculating the system efficiency index, the overall operating efficiency of the system is quantified to help identify the performance of the system.

[0083] Next, the contribution Z of each energy supply source is evaluated based on the Eff value, using the formula Z=(Qx / G_total_new)*Eff. This step quantifies the contribution of each energy supply source to the system efficiency, helping to identify which energy supply sources are most critical to improving system efficiency; by calculating the contribution of each energy supply source, the energy supply source that is most critical to improving system efficiency is identified, providing a basis for subsequent optimization.

[0084] According to the result of Z, dynamically adjust the working parameters of each energy supply source to optimize the system efficiency. For energy supply sources with high contribution, maintain or increase their output; for energy supply sources with low contribution, reduce their output or prepare to disconnect. Assuming that the energy supply source Y with the lowest contribution is selected, its output power is Qy, adjust its target output power Q_target_y, and use the formula Q_target_y=Qy*(Eff / Z_Y) to ensure that the system can still maintain efficient operation after adjustment; by dynamically adjusting the working parameters of each energy supply source, optimize the overall efficiency of the system and ensure that the system can operate efficiently under different working conditions.

[0085] Finally, recalculate the system efficiency index Eff_new, using the formula Eff_new=((G_total_new-Qy+Q_target_y) / Ld)*100%. If Eff_new is higher than Eff, the adjustment is successful; otherwise, repeat the above steps until the optimal configuration is found to maximize the system efficiency. By recalculating the system efficiency index, evaluate the performance of the adjusted system and ensure that the system can operate efficiently under different working conditions.

[0086] Example Assume there is a microgrid system where the first energy source is solar panels, the second energy source is energy storage batteries, and the third energy source is diesel generators. The following are the specific implementation steps: Record the status of all connected and disconnected energy supply sources: Assume that the newly connected energy supply source is a diesel generator with an output power Qx of 36W.

[0087] Before adjustment, the total energy supply capacity G_total_old of the system is 45W.

[0088] Using the formula G_total_new=G_total_old+Qx, we get G_total_new=45W+36W=81W.

[0089] Calculate the efficiency index of the system: Assume that the current actual load power R_load is 80W, so Ld=R_load=80W.

[0090] Using the formula Eff=(G_total_new / Ld)*100%, we get Eff=(81W / 80W)*100%≈101.25%.

[0091] Assess the contribution of each energy supply source: Calculate the contribution Z of the diesel generator using the formula Z=(Qx / G_total_new)*Eff, and get Z=(36W / 81W)*101.25%≈45%.

[0092] Assume that the output power of the energy storage battery is Qy=15W and its contribution Z_Y=20%.

[0093] Dynamically adjust the working parameters of each energy supply source: For the energy storage battery with the lowest contribution, adjust its target output power Q_target_y, using the formula Q_target_y=Qy*(Eff / Z_Y), and get Q_target_y=15W*(101.25% / 20%)≈76W.

[0094] Since the maximum output power of the energy storage battery is limited, it is assumed that the adjusted target output power is 18W.

[0095] Recalculate system efficiency index: Using the formula Eff_new=((G_total_new-Qy+Q_target_y) / Ld)*100%, we get Eff_new=((81W-15W+18W) / 80W)*100%=(84W / 80W)*100%≈105%.

[0096] Since Eff_new is higher than Eff (105%>101.25%), the adjustment is successful.

[0097] S6: Optimizing the power allocation scheme between the energy supply sources according to the obtained efficiency index; specifically comprising the following steps: According to the calculated system efficiency index Eff_new, determine the overall operating status of the current system. Assuming that there are N energy supply sources in the system, and the output power of each energy supply source is Qi (i=1,2,...,N), first calculate the initial total output power Q_total of each energy supply source, using the formula Q_total=Q1+Q2+...+QN; this formula is used to calculate the total output power of all energy supply sources in the system. Q1 to QN represent the output power of each energy supply source respectively. By calculating the total output power of the system, basic data is provided for subsequent evaluation and optimization.

[0098] Based on the Q_total and Eff_new values, calculate the efficiency contribution ratio R_contrib_i of each energy supply source, using the formula R_contrib_i=(Qi / Q_total)*Eff_new. This formula is used to calculate the efficiency contribution ratio of each energy supply source. Qi represents the output power of the i-th energy supply source, Q_total represents the total output power of the system, and Eff_new represents the efficiency index of the system. Through this formula, the contribution ratio of each energy supply source to the overall efficiency of the system can be quantified. This step is used to quantify the contribution ratio of each energy supply source to the overall efficiency of the system, helping to identify which energy supply sources are most effective under the current configuration; by calculating the efficiency contribution ratio of each energy supply source, the energy supply source that is most critical to improving the overall efficiency of the system can be identified, providing a basis for subsequent optimization.

[0099] Next, according to the result of R_contrib_i, dynamically adjust the target output power Q_target_i of each energy supply source. Assuming that the energy supply source A with the highest contribution ratio is selected, its target output power is Q_target_A, and the formula Q_target_A=Qi*(Eff_new / R_contrib_A) is used. For energy supply sources with relatively low contribution, reduce their output power to optimize system efficiency; by dynamically adjusting the working parameters of each energy supply source, optimize the overall efficiency of the system and ensure that the system can operate efficiently under different working conditions.

[0100] Under the adjusted target output power Q_target_i, recalculate the total output power Q_total_new of the entire system, using the formula Q_total_new=Q_target_1+Q_target_2+...+Q_target_N. This formula is used to calculate the adjusted total system output power. Q_target_1 to Q_target_N represent the adjusted target output power of each energy supply source. At the same time, the system load demand Ld_new is updated to ensure that the system's total energy supply capacity matches the load demand; by recalculating the system's total output power and updating the load demand, the system is ensured to operate efficiently under the new configuration.

[0101] Finally, based on the new total output power Q_total_new, re-evaluate the system's efficiency index Eff_final, using the formula Eff_final=(Q_total_new / Ld_new)*100%. If Eff_final is higher than Eff_new, it means that the power allocation scheme is successfully optimized; otherwise, repeat the above steps until the optimal power allocation scheme is found to maximize the system efficiency. By re-evaluating the system's efficiency index, the performance of the optimized system is judged to ensure that the system can operate efficiently under different working conditions.

[0102] Example Assume there is a microgrid system where the first energy source is solar panels, the second energy source is energy storage batteries, and the third energy source is diesel generators. The following are the specific implementation steps: Calculate the initial total output power of the system: Assume that the output power Q1 of the solar panel is 60W, the output power Q2 of the energy storage battery is 15W, and the output power Q3 of the diesel generator is 36W.

[0103] Using the formula Q_total=Q1+Q2+Q3, we get Q_total=60W+15W+36W=111W.

[0104] Calculate the efficiency contribution of each energy supply source: Assume that the system efficiency indicator Eff_new is 105%.

[0105] Calculate the efficiency contribution ratio of solar panels: R_contrib_1=(Q1 / Q_total)*Eff_new=(60W / 111W)*105%≈57.21%.

[0106] Calculate the efficiency contribution ratio of the energy storage battery: R_contrib_2=(Q2 / Q_total)*Eff_new=(15W / 111W)*105%≈14.30%.

[0107] Calculate the efficiency contribution ratio of the diesel generator: R_contrib_3=(Q3 / Q_total)*Eff_new=(36W / 111W)*105%≈34.49%.

[0108] Dynamically adjust the target output power of each energy supply source: Assuming that the solar panel with the highest contribution ratio is selected as the optimization object, its target output power Q_target_1, using the formula Q_target_1=Q1*(Eff_new / R_contrib_1), we get Q_target_1=60W*(105% / 57.21%)≈110W.

[0109] For energy storage batteries with relatively low contribution, their output power is reduced. Assume that the adjusted target output power is 10W.

[0110] The diesel generator remains unchanged, assuming its target output power is still 36W.

[0111] Recalculate the total output power of the system: Using the formula Q_total_new=Q_target_1+Q_target_2+Q_target_3, we get Q_total_new=110W+10W+36W=156W.

[0112] Update the load demand Ld_new, assuming that the load demand is still 80W.

[0113] Re-evaluate the efficiency indicators of the system: Using the formula Eff_final=(Q_total_new / Ld_new)*100%, we get Eff_final=(156W / 80W)*100%≈195%.

[0114] Since Eff_final is higher than Eff_new (195%>105%), it indicates that the power allocation scheme is optimized successfully.

[0115] S7: Using the power allocation scheme, adjusting the output of each energy supply source in real time; specifically comprising the following steps: According to the target output power Q_target_i of each energy supply source, the actual output power Q_actual_i of each energy supply source is calculated. Assuming that there are N energy supply sources in the system, the formula Q_actual_i=Ui*Ji is used, where Ui and Ji are the voltage and current of the i-th energy supply source respectively; by calculating the actual output power of each energy supply source, basic data is provided for subsequent evaluation and adjustment.

[0116] Based on the difference ΔQ_i between the Q_actual_i value and the target output power Q_target_i, the formula ΔQ_i=|Q_target_i-Q_actual_i| is used to calculate the deviation between the actual output power and the target output power. If ΔQ_i exceeds the preset threshold, it is necessary to further adjust the operating parameters of the energy supply source. Evaluate whether the current energy supply sources need to be adjusted. If ΔQ_i exceeds the preset threshold, it indicates that adjustment is required to ensure that the output is compatible with the load demand; by calculating the difference between the actual output power and the target output power, determine whether the energy supply source needs to be adjusted to ensure the stable operation of the system.

[0117] Next, according to the result of ΔQ_i, dynamically adjust the operating parameters of each energy supply source. Assume that energy supply source B with the largest ΔQ value is selected, and its voltage and current are Ub and Jb respectively, and adjust its operating parameters to achieve the target output power Q_target_B. Use the formula Ub_new=sqrt(Q_target_B / R) and Jb_new=Q_target_B / Ub_new, where R is the preset resistance value, to ensure that energy supply source B can provide the required power in the best way; by dynamically adjusting the operating parameters of the energy supply source, ensure that its actual output power is close to the target output power, thereby optimizing the overall efficiency of the system.

[0118] Under the adjusted parameters, the actual output power Q_actual_new of each energy supply source is monitored in real time, and the new total output power Q_total_new is calculated using the formula Q_total_new=Q_actual_1_new+Q_actual_2_new+...+Q_actual_N_new. At the same time, the system's load matching H_match_new is re-evaluated using the formula H_match_new=Q_total_new / Ld_new to ensure that the system's total energy supply capacity matches the load demand; by real-time monitoring and recalculating the system's total output power and load matching, the system is ensured to operate efficiently under different working conditions.

[0119] Finally, according to the new load matching degree H_match_new, the output distribution of each energy supply source is further optimized. If H_match_new is close to 1, it means that the system is running well; otherwise, repeat the above steps until the actual output power of all energy supply sources is consistent with the target output power, so that the overall efficiency of the system is maximized. By further optimizing the output distribution of each energy supply source, the load matching degree of the system is ensured to be close to 1, thereby maximizing the overall efficiency of the system.

[0120] Assume there is a microgrid system where the first energy source is solar panels, the second energy source is energy storage batteries, and the third energy source is diesel generators. The following are the specific implementation steps:

[0121] Calculate the actual output power of each energy supply source: Assume that the target output power Q_target_1 of the solar panel is 60W, the target output power Q_target_2 of the energy storage battery is 10W, and the target output power Q_target_3 of the diesel generator is 36W.

[0122] The voltage U1 of the solar panel is measured to be 12V, and the current J1 is 5A. Using the formula Q_actual_1=U1*J1, we get Q_actual_1=12V*5A=60W.

[0123] The measured voltage U2 of the energy storage battery is 10V, and the current J2 is 1A. Using the formula Q_actual_2=U2*J2, we get Q_actual_2=10V*1A=10W.

[0124] The voltage U3 of the diesel generator is measured to be 24V, and the current J3 is 1.5A. Using the formula Q_actual_3=U3*J3, we get Q_actual_3=24V*1.5A=36W.

[0125] Evaluate the difference between actual output power and target output power: Calculate the difference of the solar panel ΔQ_1 = |Q_target_1-Q_actual_1| = |60W-60W| = 0W.

[0126] Calculate the difference of the energy storage battery ΔQ_2=|Q_target_2-Q_actual_2|=|10W-10W|=0W.

[0127] Calculate the difference of the diesel generator ΔQ_3 = |Q_target_3-Q_actual_3| = |36W-36W| = 0W.

[0128] Dynamically adjust the working parameters of each energy supply source: In this example, since the actual output power of all energy supply sources is consistent with the target output power, no further adjustment is required. Assume that in a certain measurement, the actual output power Q_actual_2 of the energy storage battery is 8W, and the calculated difference ΔQ_2=|10W-8W|=2W exceeds the preset threshold (assumed to be 1W), and adjustment is required.

[0129] Adjust the working parameters of the energy storage battery. Assuming the preset resistance R is 2 ohms, use the formula Ub_new=sqrt(Q_target_B / R) and Jb_new=Q_target_B / Ub_new to obtain Ub_new=sqrt(10W / 2Ω)≈2.24V and Jb_new=10W / 2.24V≈4.46A.

[0130] Real-time monitoring and recalculation of the system's total output power and load matching: Under the adjusted parameters, the real-time monitoring actual output power Q_actual_2_new of the energy storage battery is 10W.

[0131] Recalculate the total output power of the system: Q_total_new=Q_actual_1_new+Q_actual_2_new+Q_actual_3_new=60W+10W+36W=106W.

[0132] Update the load demand Ld_new to 80W, and re-evaluate the system's load matching H_match_new=Q_total_new / Ld_new=106W / 80W≈1.325.

[0133] Further optimize the output distribution of each energy supply source: Since H_match_new is greater than 1, it means that the total energy supply capacity of the system is in excess. You can choose to reduce the output power of some energy supply sources, for example, adjust the output power of the diesel generator to 30W.

[0134] Recalculate the total output power of the system: Q_total_new=60W+10W+30W=100W.

[0135] Re-evaluate the system's load matching degree H_match_new=100W / 80W≈1.25, which is still greater than 1. Continue to optimize until H_match_new is close to 1.

[0136] S8: Feedback the result of S7 to S1 for cyclic operation to dynamically respond to load changes. Specifically, it includes the following steps: According to the calculated actual output power Q_actual_new of each energy supply source and the new total output power Q_total_new, the overall operating status of the current system is evaluated. First, calculate the load matching degree H_match_new of the system under the current configuration, using the formula H_match_new=Q_total_new / Ld_new, which is used to calculate the load matching degree of the system. Q_total_new represents the adjusted total output power of the system, and Ld_new represents the updated load demand. Through this formula, the degree of matching between the energy supply capacity of the system and the load demand can be evaluated. Among them, Ld_new is the updated load demand; by recalculating the load matching degree, the overall operating status of the system is evaluated to determine whether further adjustment is needed.

[0137] Based on the H_match_new value, determine whether further adjustments are needed. If H_match_new deviates significantly from 1 (for example, less than 0.9 or greater than 1.1), the adjustment process needs to be restarted. Assuming H_match_new is 0.95, it means that the system is close to but not completely at the optimal matching state, and further optimization is required; by evaluating the load matching, determine whether further adjustments are needed to ensure that the system can operate efficiently under different working conditions.

[0138] Then, according to the result of H_match_new, the working parameters of the first energy are dynamically adjusted, and its output state is fed back to S1. Assuming that the new output power of the first energy is Q0_new, the formula Q0_new=U0_new*J0_new is used, where U0_new and J0_new are the adjusted voltage and current respectively. In this way, it is ensured that the first energy can adapt to the latest load requirements; by dynamically adjusting the working parameters of the first energy, it is ensured that it can adapt to the latest load requirements, thereby optimizing the overall efficiency of the system.

[0139] Under the adjusted parameters, the output state S0_new of the first energy source is re-monitored and compared with the initial output state S0, using the formula ΔS0=|S0_new-S0|. If ΔS0 exceeds the preset threshold, it indicates that the output of the first energy source needs to be further optimized to maintain system stability; by comparing the adjusted output state with the initial output state, it is determined whether further optimization is needed to ensure the stable operation of the system.

[0140] Finally, according to the result of ΔS0, all steps from S1 to S7 are executed in a loop to ensure that the system can dynamically adjust the working parameters of each energy supply source under different load conditions. Assuming that in a certain cycle, the system reaches the ideal load matching degree H_match_final (close to 1), the adjustment process is stopped and the current configuration is maintained. Otherwise, the above steps are repeated until the actual output power of all energy supply sources is consistent with the target output power, so that the overall efficiency of the system is maximized. By looping all steps from S1 to S7, it is ensured that the system can dynamically adjust the working parameters of each energy supply source under different load conditions, and ultimately maximize the overall efficiency of the system.

[0141] Example Assume there is a microgrid system where the first energy source is solar panels, the second energy source is energy storage batteries, and the third energy source is diesel generators. The following are the specific implementation steps: Calculate the load matching of the system: Assume that the adjusted total system output power Q_total_new is 106W and the updated load demand Ld_new is 80W.

[0142] Using the formula H_match_new=Q_total_new / Ld_new, we get H_match_new=106W / 80W≈1.325.

[0143] Assess whether further adjustments are needed: Since H_match_new deviates significantly from 1 (1.325>1.1), it indicates that the system's total energy supply capacity is in excess and the adjustment process needs to be restarted.

[0144] Dynamically adjust the working parameters of First Energy: Assume that the operating parameters of the solar panel are adjusted to reduce its output power. The adjusted voltage U0_new is measured to be 11V and the current J0_new is 5A.

[0145] Using the formula Q0_new=U0_new*J0_new, we get Q0_new=11V*5A=55W.

[0146] Re-monitor and compare the output status of First Energy: The actual output power Q0_new of the solar panel after measurement and adjustment is 55W, and the initial output power Q0 is 60W.

[0147] The calculated difference ΔS0 = |S0_new-S0| = |55W-60W| = 5 W. Assuming the preset threshold is 3 W, since ΔS0 exceeds the preset threshold, further optimization is required.

[0148] Loop through all steps S1 to S7: Restart the adjustment process from S1 and gradually adjust the working parameters of each energy supply source until the system reaches the ideal load matching degree.

[0149] Assume that in a certain cycle, the adjusted total system output power Q_total_new is 80W, and the load demand Ld_new is 80W.

[0150] Recalculate the load matching degree H_match_final = Q_total_new / Ld_new = 80W / 80W = 1, indicating that the system has achieved the ideal load matching degree. Stop the adjustment process and keep the current configuration.

[0151] On the other hand, the present invention proposes a control system for a microgrid multi-energy hybrid energy supply system, such as Figure 2 As shown, including: The startup and initialization monitoring module is used to start and initialize the first energy source and monitor its output status; The load matching adjustment module is used to adjust the working parameters of the second energy source to match the load demand based on the monitored output state; The total energy supply capacity evaluation module is used to evaluate the total energy supply capacity of all energy supply sources in the current system according to the working parameter adjustment results; The energy supply source connection or disconnection decision module is used to determine the energy supply source to be connected or disconnected in the next stage based on the evaluation results, and perform corresponding operations; The system efficiency evaluation module is used to recalculate the efficiency indicators of the entire system based on the latest connected or disconnected energy supply sources; The power allocation optimization module is used to optimize the power allocation scheme between various energy supply sources according to the obtained efficiency index; The real-time output adjustment module is used to adjust the output of each energy supply source in real time by using the power allocation scheme; The loop feedback and dynamic adjustment module is used to feed back the results of S7 to S1 for loop operation to dynamically respond to load changes.

[0152] In addition, the above-mentioned module is also used to implement other steps of the above-mentioned control method of a microgrid multi-energy hybrid energy supply system when executed, which will not be described one by one here.

[0153] In summary, through the steps of startup and initialization monitoring, load matching adjustment, total energy supply capacity evaluation, energy supply source connection or disconnection decision, system efficiency evaluation, power distribution optimization, real-time output adjustment, loop feedback and dynamic adjustment, the intelligent scheduling and optimal configuration of each energy supply source are realized. This method can monitor and dynamically adjust the working parameters of each energy supply source in real time, ensure the efficient operation of the system under different load conditions, and significantly improve the overall efficiency and stability of the system.

[0154] In addition, the present invention enhances the adaptability and flexibility of the system, enabling it to better cope with complex practical application scenarios, thereby effectively solving the problem of how to achieve intelligent scheduling and optimal configuration between different energy supply sources to cope with dynamic changes in loads and ensure maximum overall system efficiency.

[0155] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A control method for a microgrid multi-energy hybrid energy supply system, characterized in that: The following steps are involved: S1: The first energy source is started and initialized, and its output status is monitored; S2: Based on the monitored output state, adjusting the operating parameters of the second energy source to match the load demand; S3: According to the working parameter adjustment results, evaluate the total energy supply capacity of all energy supply sources in the current system; S4: Based on the evaluation results, determine the energy supply source to be connected or disconnected in the next stage and perform corresponding operations; S5: recalculate the efficiency index of the entire system based on the latest connected or disconnected energy supply source; S6: Optimizing the power allocation scheme among various energy supply sources according to the obtained efficiency index; S7: Using the power allocation scheme, the output of each energy supply source is adjusted in real time; S8: Feedback the result of S7 to S1 for cyclic operation to dynamically respond to load changes.

2. The control method of a microgrid multi-energy hybrid energy supply system according to claim 1 is characterized in that: The first energy source is started and initialized, and its output state is monitored, including: After the first energy source is started and initialized, the initial output state is set to S0; According to S0, the output power of the first energy source is calculated, and the monitoring frequency is adjusted according to the calculated output power value; At the set monitoring frequency, continuously monitor the output state changes of the first energy source, record the changes in voltage and current in each cycle, and calculate the average output power; The calculated average output power is compared with the initial output power. If the difference is significant, the operating parameters of the first energy source are re-evaluated and S0 is updated according to the new parameters until the output is stable.

3. The control method of a microgrid multi-energy hybrid energy supply system according to claim 2 is characterized in that: The adjusting the operating parameters of the second energy source to match the load demand based on the monitored output state includes: Calculating the load demand according to the monitored output state S0 of the first energy source; Based on the calculated load demand, determining a target output power that needs to be adjusted for the second energy source; Adjust the working parameters of the second energy source according to the target output power, set new working voltage and current, and ensure that the second energy source can provide the required power in an optimal manner; Under the adjusted parameters, the actual output power of the second energy source is monitored in real time and compared with the target output power; if there is a deviation, the working parameters of the second energy source are dynamically adjusted until the actual output power is close to or equal to the target output power.

4. The control method of a microgrid multi-energy hybrid energy supply system according to claim 3 is characterized in that: The total energy supply capacity of all energy supply sources in the current system is evaluated according to the working parameter adjustment results, including: Calculate the actual output power of the second energy source according to the adjusted working parameters of the second energy source; Calculate the total energy supply capacity of all energy supply sources in the system by combining the actual output power and the initial output power of the first energy source; Based on the calculated total energy supply capacity, evaluate the load matching degree of the current system; if the load matching degree is greater than 1, it means that the system has sufficient energy supply capacity; if it is less than 1, it needs to be optimized; According to the load matching results, dynamically adjust the priority order of each energy supply source; if the system is in a critical state, the energy allocation strategy needs to be adjusted immediately; Under the new priority weight, the target output power of each energy supply source is recalculated; by gradually adjusting the working parameters of each energy supply source, the total energy supply capacity of the system is ensured to match the load demand until the optimal matching state is reached.

5. The control method of a microgrid multi-energy hybrid energy supply system according to claim 4 is characterized in that: The energy supply source to be connected or disconnected in the next stage is determined based on the evaluation results, and corresponding operations are performed, including: According to the calculated load matching degree and priority order, determine whether the current system needs to connect or disconnect the energy supply source, and calculate the expected contribution value of each energy supply source that can be connected or needs to be disconnected; Sort all energy supply sources that can be connected or disconnected according to their expected contribution values, and select the energy supply source with the highest contribution value for operation; After selecting the energy supply source, adjust its operating parameters to adapt to the new load demand; if the energy supply source is newly connected, set its target output power; if it is an energy supply source that needs to be disconnected, gradually reduce its output power to zero; The overall performance change of the monitoring system after executing the above operations is recalculated, and the load matching degree is recalculated.

6. The control method of a microgrid multi-energy hybrid energy supply system according to claim 5, characterized in that: The recalculation of the efficiency index of the entire system, based on the most recently connected or disconnected energy supply source, includes: Record the status of all connected and disconnected energy supply sources and calculate the total energy supply capacity after the system is updated; Based on the updated total energy supply capacity and the current load demand, the efficiency index of the system is calculated; Evaluate the contribution of each energy supply source based on the calculated efficiency index; According to the contribution results, dynamically adjust the working parameters of each energy supply source to optimize system efficiency; for energy supply sources with high contribution, maintain or increase their output; For energy supply sources with low contribution, reduce their output or prepare to disconnect them, and recalculate system efficiency indicators.

7. A control method for a microgrid multi-energy hybrid energy supply system according to claim 6, characterized in that: The step of optimizing the power distribution scheme between the energy supply sources according to the obtained efficiency index includes: Determine the overall operating status of the current system based on the calculated system efficiency index; Based on the calculated system efficiency index, calculate the efficiency contribution ratio of each energy supply source; According to the results of the efficiency contribution ratio, the target output power of each energy supply source is dynamically adjusted; Under the adjusted target output power, the total output power of the entire system is recalculated; at the same time, the load demand of the system is updated to ensure that the total energy supply capacity of the system matches the load demand; Re-evaluate the system's efficiency indicators based on the new total output power.

8. The control method of a microgrid multi-energy hybrid energy supply system according to claim 7, characterized in that: The power allocation scheme is used to adjust the output of each energy supply source in real time, including: Calculate the actual output power of each energy supply source according to the obtained target output power of each energy supply source; Based on the calculated difference between the actual output power and the target output power, assess whether the current energy supply sources need to be adjusted; According to the evaluation results, dynamically adjust the working parameters of each energy supply source; if the actual output power of an energy supply source is significantly different from the target output power, adjust its working parameters to achieve the target output power; Under the adjusted parameters, the actual output power of each energy supply source is monitored in real time, and the new total output power is calculated; at the same time, the load matching degree of the system is re-evaluated to ensure that the total energy supply capacity of the system matches the load demand; According to the new load matching degree, the output distribution of each energy supply source is optimized.

9. A control method for a microgrid multi-energy hybrid energy supply system according to claim 8, characterized in that: The result of S7 is fed back to S1 for cyclic operation to dynamically respond to load changes, including: Evaluate the overall operating status of the current system based on the calculated actual output power of each energy supply source and the new total output power; Based on the evaluation results, determine whether adjustment is needed, dynamically adjust the working parameters of the first energy source according to the evaluation results, and feed back its output state to S1; Under the adjusted parameters, the output state of the first energy source is re-monitored and compared with the initial output state. If the difference is significant, it indicates that the output of the first energy source needs to be optimized to maintain system stability. According to the comparison results, all steps from S1 to S7 are executed cyclically to ensure that the system can dynamically adjust the working parameters of each energy supply source under different load conditions.

10. A control system for a microgrid multi-energy hybrid energy supply system for implementing the method according to any one of claims 1 to 9, characterized in that: include: The startup and initialization monitoring module is used to start and initialize the first energy source and monitor its output status; The load matching adjustment module is used to adjust the working parameters of the second energy source to match the load demand based on the monitored output state; The total energy supply capacity evaluation module is used to evaluate the total energy supply capacity of all energy supply sources in the current system according to the working parameter adjustment results; The energy supply source connection or disconnection decision module is used to determine the energy supply source to be connected or disconnected in the next stage based on the evaluation results, and perform corresponding operations; The system efficiency evaluation module is used to recalculate the efficiency indicators of the entire system based on the latest connected or disconnected energy supply sources; The power allocation optimization module is used to optimize the power allocation scheme between various energy supply sources according to the obtained efficiency index; The real-time output adjustment module is used to adjust the output of each energy supply source in real time by using the power allocation scheme; The loop feedback and dynamic adjustment module is used to feed back the results of S7 to S1 for loop operation to dynamically respond to load changes.

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