Control methods, systems, equipment and storage media for off-grid microgrid systems

Abstract

This invention discloses a control method, system, device, and storage medium for an off-grid microgrid system. The control method includes: presetting a load interval table; acquiring the real-time load of the off-grid microgrid system, including a first real-time load of a heavy oil turbine generator system and a second real-time load of an intermittent distributed energy generation system; matching the real-time load with the load interval table to obtain a real-time target interval corresponding to the real-time load; adjusting the output power of the heavy oil turbine generator system based on a first real-time target value and a first real-time load corresponding to the real-time target interval; and adjusting the output power of the intermittent distributed energy generation system based on a second real-time target value and a second real-time load corresponding to the real-time target interval. This application combines load characteristics to divide different load intervals and set different output targets, achieving highly economical planning and stability control of the system within different load intervals. It departs from prediction mechanisms, further ensuring system stability and economy.

Description

Technical Field

[0001] This invention belongs to the field of off-grid microgrid system optimization, and specifically relates to a control method, system, device and storage medium for an off-grid microgrid system. Background Technology

[0002] Off-grid microgrid systems are constructed using heavy-duty oil generators and intermittent distributed energy sources. The voltage and frequency support of the entire microgrid is relatively weak, and energy consumption is relatively high. Furthermore, the power coordination and matching process with intermittent distributed energy sources plays a crucial role in supporting the stability of the entire microgrid system. Meanwhile, most heavy-duty oil generator sets are medium- or low-speed generators, which have advantages such as low operating costs, long-term continuous operation, long service life, relatively quick return on investment, and low noise. However, when the microgrid, as the main power source, is adapted to the highly intermittent photovoltaic system, it exhibits slow response speed and weak regulation capabilities. It also has many other characteristics, including relatively high initial investment. In addition, the frequent power fluctuations of distributed energy sources lead to frequent fluctuations in the load power of the heavy-duty oil generator, which can easily cause system stability and fuel consumption problems.

[0003] Currently, the main approaches to addressing these issues include improving system stability by predicting the output capacity of intermittent distributed energy sources. However, this leads to system stability being highly dependent on and limited by the accuracy of the prediction. Insufficient prediction accuracy can result in decreased stability or even system collapse, causing even more serious problems. Alternatively, system stability can be improved by reducing the target penetration rate of distributed energy sources, i.e., by reducing economic efficiency. In this approach, the increase in stability of off-grid distribution systems usually comes at the expense of system economic efficiency. In off-grid systems constructed with heavy oil turbines and intermittent energy sources, the contradiction between economic efficiency and stability is not only incompatible but also more pronounced. However, considering the potentially severe consequences of system collapse, economic efficiency can only be a secondary consideration in off-grid systems. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the above-mentioned defects in the prior art and provide a control method, system, device and storage medium for an off-grid microgrid system.

[0005] The present invention solves the above-mentioned technical problems through the following technical solution:

[0006] A control method for an off-grid microgrid system, the off-grid microgrid system comprising a heavy oil turbine power generation system and an intermittent distributed energy power generation system, the control method comprising:

[0007] A load interval table is preset, which stores multiple load ranges from 0 to the maximum load, and a first target value for the generator output power and a second target value for the distributed energy output power corresponding to each load range; wherein, the maximum load is the sum of the maximum loads of the heavy-duty oil generator system and the intermittent distributed energy generation system;

[0008] The real-time load of the off-grid microgrid system is obtained, wherein the real-time load includes the first real-time load of the heavy oil generator system and the second real-time load of the intermittent distributed energy generation system;

[0009] Match the real-time load with the load interval table to obtain the real-time segment interval corresponding to the real-time load;

[0010] The output power of the heavy oil generator system is adjusted based on the first real-time target value corresponding to the real-time segment interval and the first real-time load.

[0011] The output power of the intermittent distributed energy generation system is adjusted based on the second real-time target value corresponding to the real-time segment interval and the second real-time load.

[0012] Preferably, the control method further includes:

[0013] Set the output ratio of distributed energy generation corresponding to different load sections;

[0014] The average of the upper and lower limits of the real-time segment interval is taken as the segmentation point, and the real-time segment interval is divided into an upper interval segment and a lower interval segment. The value of the segmentation point is used as the lower limit of the upper interval segment and the upper limit of the lower interval segment.

[0015] If the real-time load is in the lower interval segment, the first real-time target value is updated according to the real-time processing ratio corresponding to the real-time segment interval and the value of the segment point, and the second real-time target value is updated according to the update difference of the first real-time target value.

[0016] Preferably, the step of adjusting the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load specifically includes:

[0017] The output power of the intermittent distributed energy generation system is adjusted based on a set power step size, with the second real-time target value as the objective.

[0018] Preferably, the step of adjusting the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load specifically includes:

[0019] Detect whether the output power of the intermittent distributed energy generation system can reach the second real-time target value;

[0020] If so, after a single adjustment with a set power step size, the output power of the intermittent distributed energy generation system is adjusted using the product of the first coefficient and the updated second real-time load as a stable control value.

[0021] If not, after a single adjustment with a set power step size, the output power of the intermittent distributed energy generation system is adjusted using the product of the second coefficient and the maximum load of the intermittent distributed energy generation system as a stable control value; wherein, the first coefficient is not less than the second coefficient.

[0022] Preferably, after the step of adjusting the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load, the control method further includes:

[0023] After the output power of the intermittent distributed energy generation system is controlled to a stable control value for a preset time, the output power of the intermittent distributed energy generation system is further adjusted with a set power step size.

[0024] Preferably, the control method further includes:

[0025] The intermittent distributed energy generation system is divided into multiple working stages based on the workload, including the ramp-up stage, the leveling stage, and the retracement stage.

[0026] The step of adjusting the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load further includes:

[0027] Set a first coefficient and a second coefficient corresponding to each work stage;

[0028] Wherein, the first coefficient of the leveling stage is not less than the first coefficient of the descending stage and the climbing stage, and the second coefficient of the leveling stage is not less than the second coefficient of the descending stage and the climbing stage.

[0029] Preferably, the step of adjusting the output power of the heavy oil generator system based on the first real-time target value corresponding to the real-time segment interval and the first real-time load specifically includes:

[0030] The real-time generator load rate and target generator load rate of the heavy oil generator power generation system are obtained; the real-time generator load rate is the ratio of the real-time generator load to the maximum generator load, and the target generator load rate is the ratio of the first real-time target value to the maximum generator load.

[0031] If the difference between the real-time generator load rate and the highest generator load rate is less than the difference between the lowest generator load rate, then during the process of adjusting the output power of all generators based on the target generator load rate, a corresponding number of generators are added according to the balancing strategy. If all generators are started, an alarm message is issued.

[0032] If the difference between the real-time generator load rate and the highest generator load rate is greater than the difference between the lowest generator load rate, then during the process of adjusting the output power of all generators based on the target generator load rate, the corresponding number of generators is reduced according to the balancing strategy. If only one generator remains, then one generator is kept running.

[0033] A control system for an off-grid microgrid system, the off-grid microgrid system comprising a heavy oil turbine power generation system and an intermittent distributed energy power generation system, the control system comprising:

[0034] The interval table preset module is used to preset a load interval table, which stores multiple load segment intervals between 0 and the maximum load, as well as a first target value of the generator output power and a second target value of the distributed energy output power corresponding to each load segment interval; wherein, the maximum load is the sum of the maximum loads of the heavy oil generator system and the intermittent distributed energy generation system;

[0035] The real-time data acquisition module is used to acquire the real-time load of the off-grid microgrid system, wherein the real-time load includes the first real-time load of the heavy oil generator power generation system and the second real-time load of the intermittent distributed energy power generation system.

[0036] The matching module is used to match the real-time load with the load interval table to obtain the real-time segment interval corresponding to the real-time load;

[0037] The first adjustment module is used to adjust the output power of the heavy oil generator system based on the first real-time target value corresponding to the real-time segment interval and the first real-time load.

[0038] The second adjustment module is used to adjust the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load.

[0039] Preferably, the control system further includes:

[0040] The output ratio setting module is used to set the output ratio of distributed energy generation corresponding to different load sections;

[0041] The segmentation module is used to take the average of the upper and lower limits of the real-time segment interval as the segmentation point, and divide the real-time segment interval into an upper interval segment and a lower interval segment. The value of the segmentation point is used as the lower limit of the upper interval segment and the upper limit of the lower interval segment.

[0042] The target value update module is used to update the first real-time target value according to the real-time processing ratio corresponding to the real-time segment interval and the value of the segment point when the real-time load is in the lower interval segment, and to update the second real-time target value according to the update difference of the first real-time target value.

[0043] Preferably, the second adjustment module is specifically used for:

[0044] The output power of the intermittent distributed energy generation system is adjusted based on a set power step size, with the second real-time target value as the objective.

[0045] Preferably, the second adjustment module specifically includes a first detection unit, a first adjustment unit, and a second adjustment unit;

[0046] The first detection unit is used to detect whether the output power of the intermittent distributed energy generation system can reach the second real-time target value;

[0047] If so, the first adjustment unit is invoked to perform a single adjustment with a set power step size, and the output power of the intermittent distributed energy generation system is adjusted using the product of the first coefficient and the updated second real-time load as a stable control value.

[0048] If not, the second adjustment unit is invoked to perform a single adjustment with a set power step size, and the output power of the intermittent distributed energy generation system is adjusted using the product of the second coefficient and the maximum load of the intermittent distributed energy generation system as a stable control value; wherein, the first coefficient is not less than the second coefficient.

[0049] Preferably, the control system further includes:

[0050] The stability control module is used to control the output power of the intermittent distributed energy generation system to run at a stable control value for a preset time, and then call the second adjustment unit to continue adjusting the output power of the intermittent distributed energy generation system with a set power step size.

[0051] Preferably, the control system further includes:

[0052] The segmentation module is used to divide the intermittent distributed energy generation system into multiple working stages based on the workload, including the ramp-up stage, the leveling stage, and the retracement stage.

[0053] The second adjustment module also includes:

[0054] The parameter setting unit is used to set the first and second coefficients corresponding to each working stage respectively;

[0055] Wherein, the first coefficient of the leveling stage is not less than the first coefficient of the descending stage and the climbing stage, and the second coefficient of the leveling stage is not less than the second coefficient of the descending stage and the climbing stage.

[0056] Preferably, the first adjustment module specifically includes a load rate calculation unit, a second detection unit, a third adjustment unit, and a warning unit;

[0057] The load rate calculation unit is used to obtain the real-time generator load rate and the target generator load rate of the heavy oil generator power generation system; the real-time generator load rate is the ratio of the real-time generator load to the maximum generator load, and the target generator load rate is the ratio of the first real-time target value to the maximum generator load.

[0058] The second detection unit is used to call the third adjustment unit to adjust the output power of all generators based on the target generator load rate when the difference between the real-time generator load rate and the highest generator load rate is less than the difference between the lowest generator load rate. During this process, the unit adds a corresponding number of generators according to the balancing strategy. If all generators are started, the warning unit is called to issue an alarm message.

[0059] The second detection unit is also used to call the third adjustment unit to adjust the output power of all generators based on the target generator load rate when the difference between the real-time generator load rate and the highest generator load rate is greater than the difference between the lowest generator load rate. During this process, the unit reduces the corresponding number of generators according to the balancing strategy. If only one generator remains, it keeps one generator running.

[0060] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the control method of the off-grid microgrid system described above.

[0061] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the control method for the off-grid microgrid system described above.

[0062] The positive and progressive effects of this invention are as follows: it can more scientifically and effectively combine load characteristics to divide different load ranges and set different photovoltaic and generator output targets, enabling high-economic planning and stability control of the system within different load ranges; by combining the intermittent distributed energy capacity value with the real-time operating load rate of the generator, it can accurately regulate the photovoltaic output power and scientifically plan and schedule the start-up, shutdown, and operation targets of the generator; in addition, this application is independent of the prediction mechanism, which better ensures system stability while increasing the penetration rate of intermittent distributed energy, thus effectively improving economic efficiency. Attached Figure Description

[0063] Figure 1 This is a flowchart of the control method for an off-grid microgrid system according to Embodiment 1 of the present invention.

[0064] Figure 2 This is a flowchart of step 14 in the control method of the off-grid microgrid system of Embodiment 1 of the present invention.

[0065] Figure 3 This is a flowchart of the target value update process in the control method of the off-grid microgrid system according to Embodiment 1 of the present invention.

[0066] Figure 4 This is a flowchart of step 13 in the control method of the off-grid microgrid system of Embodiment 1 of the present invention.

[0067] Figure 5 This is a schematic diagram of the control system of the off-grid microgrid system according to Embodiment 2 of the present invention.

[0068] Figure 6 This is a schematic diagram of the structure of the electronic device according to Embodiment 3 of the present invention. Detailed Implementation

[0069] The present invention will be further illustrated by way of embodiments below, but the present invention is not limited to the scope of the embodiments described herein.

[0070] Example 1

[0071] A control method for an off-grid microgrid system, the off-grid microgrid system comprising a heavy oil turbine power generation system and an intermittent distributed energy generation system, such as... Figure 1 As shown, the control method includes:

[0072] Step 10: Preset a load interval table; the load interval table stores multiple load ranges from 0 to the maximum load, and the first target value of the generator output power and the second target value of the distributed energy output power corresponding to each load range; wherein, the maximum load is the sum of the maximum loads of the heavy oil generator system and the intermittent distributed energy generation system;

[0073] Specifically, this embodiment takes a diesel-solar off-grid system as an example, where the heavy-duty oil turbine generator system generates diesel power and the intermittent distributed energy generation system generates photovoltaic power. The load is set between 0 and Pload_max, where Pload_max = Pv_cap + Oil_cap, which is the sum of the maximum capacities of the photovoltaic and diesel generators, determining the upper limit of the load. Based on the characteristic attributes of the off-grid system and load data, the load is divided into N parts to obtain Pload_i, i∈(1, 2, 3...N), where N is an integer. This yields N-1 load segment intervals, labeled as Pload_i to Pload_(i-1). Different photovoltaic output target values ​​Pv_obj and diesel generator output target values ​​Oil_obj are then set for different load segments. These target values ​​are based on big data statistics, considering the characteristics of the off-grid system and the system's main power supply capacity, load, and other characteristic factors, and are the target outputs of different power devices within different load intervals.

[0074] Step 11: Obtain the real-time load of the off-grid microgrid system; the real-time load includes the first real-time load of the heavy oil turbine power generation system and the second real-time load of the intermittent distributed energy power generation system;

[0075] Step 12: Match the real-time load with the load interval table to obtain the real-time segment interval corresponding to the real-time load;

[0076] Step 13: Adjust the output power of the heavy oil generator system based on the first real-time target value and the first real-time load corresponding to the real-time segment interval;

[0077] Step 14: Based on the second real-time target value corresponding to the real-time segment interval and the second real-time load regulation, adjust the output power of the intermittent distributed energy generation system.

[0078] In this embodiment, step 14 specifically includes:

[0079] The output power of the intermittent distributed energy generation system is adjusted based on a set power step size, with the second real-time target value as the objective.

[0080] More specifically, such as Figure 2 As shown, step 14 specifically includes:

[0081] Step 1401: Detect whether the output power of the intermittent distributed energy generation system can reach the second real-time target value; if yes, proceed to step 1402; if no, proceed to step 1403.

[0082] Step 1402: After a single adjustment with a set power step size, adjust the output power of the intermittent distributed energy generation system using the product of the first coefficient and the updated second real-time load as the stable control value.

[0083] Step 1403: After a single adjustment with a set power step size, adjust the output power of the intermittent distributed energy generation system using the product of the second coefficient and the maximum load of the intermittent distributed energy generation system as the stable control value; wherein, the first coefficient is not less than the second coefficient.

[0084] Specifically, when the photovoltaic (PV) power output is able to ramp up to Pv_Obj, that is, under the action of the PV control command Pv_Ref, the PV output power value Pv_Power can approach Pv_Obj. At this time, the current PV output power value (updated in real time after a single adjustment of the set power step) is locked at, for example, 90%. When the PV power output is unable to ramp up to Pv_Obj, that is, under the action of the PV control command Pv_Ref, the PV output power value Pv_Power cannot approach Pv_Obj. At this time, the current maximum PV output power value is locked at, for example, 80%, i.e., 80% * Pv_PowerMax is used as the stable control value for the PV power output.

[0085] In this embodiment, see Figure 2 The control method step 14 further includes:

[0086] Step 1404: After controlling the output power of the intermittent distributed energy generation system to a stable control value for a preset time, return to step 1402 or 1403 to set the power step size and continue to adjust the output power of the intermittent distributed energy generation system.

[0087] Specifically, when the system is running at a stable control value, it maintains that power level for, for example, 2 minutes. If the photovoltaic output power decreases within these 2 minutes, the system will adjust accordingly to follow the photovoltaic output until the optimal control is resumed after 2 minutes.

[0088] In this embodiment, before step 14, see [link to previous section]. Figure 1 The control method further includes:

[0089] Step 131: Based on the workload, the intermittent distributed energy generation system is divided into multiple working stages; the working stages include the ramp-up stage, the leveling stage, and the retracement stage.

[0090] Further, see Figure 2 Step 14 also includes:

[0091] Step 1400: Set the first coefficient and the second coefficient corresponding to each working stage respectively; further, in steps 1402 and 1403, obtain stable control values ​​based on the first coefficient and the second coefficient of different working stages.

[0092] Wherein, the first coefficient of the leveling stage is not less than the first coefficient of the descending stage and the climbing stage, and the second coefficient of the leveling stage is not less than the second coefficient of the descending stage and the climbing stage.

[0093] Specifically, given the intermittent nature of photovoltaic (PV) power generation, three slope sections (climbing, leveling, and retreating) can be set based on local irradiance. For example, the 7-11 AM interval could be designated as the PV climbing section, 11-3 PM as the leveling section, and 3-6 PM as the retreating section. Furthermore, different stability control values ​​can be set for different operating stages of PV power generation, i.e., different first and second coefficients. Additionally, the stability control time can be adaptively set according to different operating stages, i.e., different preset times can be set. The preset time for the leveling stage should not be less than the preset times for the retreating and climbing stages. For example:

[0094] I. Photovoltaics are in the ramp-up phase

[0095] When photovoltaics is in the ramp-up phase, a fixed power step size is set to P_STEP, and ramp-up is then carried out using the fixed power step size.

[0096] The specific control strategies are as follows:

[0097] During the photovoltaic ramp-up process, the photovoltaic system needs to ramp up to the vicinity of Pv_Obj in steps P_STEP. That is, in the control strategy, the photovoltaic control command Pv_Ref = Pv_Power + P_STEP continuously accumulates the ramp-up, and keeps following the target output.

[0098] (1) When photovoltaics are capable of ramping up to Pv_Obj

[0099] When the photovoltaic output power value Pv_Power approaches Pv_Obj under the photovoltaic control command Pv_Ref, the control is locked at 90% of the current photovoltaic output power value (the real-time value updated after a single adjustment of the set power step). Simultaneously, a flag indicating that the photovoltaic power has stabilized is set, and this power level is maintained for 2 minutes. If the photovoltaic output power decreases during these 2 minutes, the control follows the photovoltaic output, continuing the optimization control process after 2 minutes.

[0100] (2) When photovoltaics are unable to ramp up to Pv_Obj

[0101] When the photovoltaic output power value Pv_Power cannot approach Pv_Obj under the photovoltaic control command Pv_Ref, a lock-in control is implemented at 80% of the current maximum photovoltaic output power value, i.e., 80% * Pv_PowerMax is used as the stable control value for the photovoltaic system. Simultaneously, a current photovoltaic stability flag is set, and this power level is maintained for 2 minutes. If the photovoltaic output power decreases within these 2 minutes, the photovoltaic output power is adjusted accordingly. This process continues until after 2 minutes, at which point optimal control is resumed.

[0102] II. Photovoltaics are in a flat phase.

[0103] When photovoltaic power is in a plateau phase, the output is relatively constant and the fluctuation range is small. Stability control is then implemented.

[0104] In the photovoltaic power output process, Pv_Obj is the target. In the control strategy, the photovoltaic system uses the control command Pv_Ref = Pv_Power ± P_STEP to perform load following and optimize power output.

[0105] (1) When photovoltaics are capable of ramping up to Pv_Obj

[0106] When the photovoltaic output power value Pv_Power approaches Pv_Obj under the photovoltaic control command Pv_Ref, it is locked at 90% of the current photovoltaic output power value. Simultaneously, a photovoltaic stability flag is set, and this power level is maintained for 3 minutes. During these 3 minutes, if the photovoltaic output power decreases, the control will follow the photovoltaic output. Optimization control continues after 3 minutes.

[0107] (2) When photovoltaics are unable to ramp up to Pv_Obj

[0108] When the photovoltaic output power value Pv_Power cannot approach Pv_Obj under the photovoltaic control command Pv_Ref, a lock-in control is implemented at 90% of the current maximum photovoltaic output power value, i.e., 90% * Pv_PowerMax, which is used as the stable control value for the photovoltaic system. Simultaneously, a current photovoltaic stability flag is set, and this power level is maintained for 3 minutes. During these 3 minutes, if the photovoltaic output power decreases, the control will follow the photovoltaic output. This process continues until after 3 minutes, at which point optimal control is resumed.

[0109] III. Photovoltaic industry is in a phase of subsidy reduction.

[0110] When photovoltaic power generation is in a phase of phase-out, the fluctuation range will be larger due to the declining trend in photovoltaic power output and the increase in uncertainties. The following stability controls are required.

[0111] During photovoltaic (PV) power output, the PV system targets Pv_Obj. The control strategy uses the control command Pv_Ref = Pv_Power ± P_STEP to perform load following and optimize power output.

[0112] (1) When photovoltaics are capable of ramping up to Pv_Obj

[0113] When the photovoltaic output power value Pv_Power approaches Pv_Obj under the photovoltaic control command Pv_Ref, it indicates that the photovoltaic system is capable of ramping up to the target area and locking control at 85% of the current photovoltaic output power value. Simultaneously, a current photovoltaic stability flag is set, and this power level is maintained for 2 minutes. During these 2 minutes, if the photovoltaic output power decreases, the system will follow the photovoltaic output. Optimization control continues after 2 minutes.

[0114] (2) When photovoltaics are unable to ramp up to Pv_Obj

[0115] When the photovoltaic output power value Pv_Power cannot approach Pv_Obj under the photovoltaic control command Pv_Ref, a lock-in control is implemented at 85% of the current maximum photovoltaic output power value, i.e., 85% * Pv_PowerMax is used as the stable control value for the photovoltaic system. Simultaneously, a current photovoltaic stability flag is set, and this power level is maintained for 2 minutes. During these 2 minutes, if the photovoltaic output power decreases, the control will follow the photovoltaic output. This process continues until after 2 minutes, at which point the optimization control will resume.

[0116] In this embodiment, the control method further updates the target value through the following steps, such as... Figure 3 As shown, it specifically includes:

[0117] Step 21: Set the output ratio of distributed energy generation corresponding to different load sections;

[0118] Step 22: Take the average of the upper and lower limits of the real-time segment interval as the segmentation point, and divide the real-time segment interval into an upper interval and a lower interval; where the value of the segmentation point is used as the lower limit of the upper interval and the upper limit of the lower interval.

[0119] Step 23: If the real-time load is in the lower interval segment, update the first real-time target value according to the real-time processing ratio and segment point value corresponding to the real-time target segment interval, and update the second real-time target value according to the update difference of the first real-time target value.

[0120] Specifically, based on the different load intervals divided by the slope of the photovoltaic system, the output target of the photovoltaic system is set to different output proportions Di in different load intervals in terms of energy consumption (generally, Di is in the range of 40%-70%). Then, the photovoltaic output target value Pv_Obj and the corresponding generator output target value Oil_obj are determined. After obtaining the real-time load Pload through real-time sampling, it can be known that this load is in a certain interval of N-1 load intervals. The interval is marked as K.

[0121] Then, the average load within this interval is calculated as Pload_avg = (Pload_(k+1) - Pload_k) / 2. This yields the lower load segment M1(Pload_k, Pload_avg) and the upper load segment M2(Pload_avg, Pload_(k+1)) within this load interval. Once the upper and lower load segments are obtained, the specific load segment within this load interval can be further determined. Then, based on the load interval and different segments, combined with the different output ratios of photovoltaics Di, the photovoltaic target value is updated, as follows:

[0122] When the real-time load Pload is in the load sub-segment M1 of the K interval, the photovoltaic output target value Pv_obj' = Di * Pload_avg within this segment; further, after the photovoltaic output target value is updated, in order to ensure that the total output target is consistent with the total output target set in the load interval table, the corresponding generator output target value Oil_obj' = Oil_obj - (Pv_obj' - Pv_obj) is further updated based on the photovoltaic output target value Pv_obj obtained from different segments in the K interval.

[0123] It should be noted that when the load Pload is in the upper section M2 of the K interval load, the photovoltaic output target value and the generator output target value in this section are the target values ​​Pv_obj set in the load interval table.

[0124] In this embodiment, as Figure 4 As shown, step 13 specifically includes:

[0125] Step 1301: Obtain the real-time generator load rate and target generator load rate of the heavy oil generator power generation system; the real-time generator load rate is the ratio of the real-time generator load to the maximum generator load, and the target generator load rate is the ratio of the first real-time target value to the maximum generator load.

[0126] If the difference between the real-time generator load rate and the highest generator load rate is less than the difference between the lowest generator load rate, then proceed to step 1302.

[0127] Step 1302: During the process of adjusting the output power of all generators based on the target generator load rate, the corresponding number of generators are added according to the balancing strategy. If all generators start, an alarm message is issued.

[0128] If the difference between the real-time generator load rate and the highest generator load rate is greater than the difference between the lowest generator load rate, then proceed to step 1303.

[0129] Step 1303: During the process of adjusting the output power of all generators based on the target generator load rate, the corresponding number of generators is reduced according to the balancing strategy. If only one generator remains, then one generator is kept running.

[0130] Specifically, when the real-time load rate of the generators is close to the maximum generator load rate of the current interval, the balancing strategy checks in real time whether there are any backup generators available. If there are no backup generators, the strategy automatically reminds the maintenance personnel that the system is currently operating beyond its capacity. If backup generators still exist, the strategy adaptively calculates the required number and capacity of generators to be operated and then schedules them accordingly to share the load. When the real-time load rate of the generators is close to the minimum generator load rate of the current interval, the balancing strategy checks whether there are redundant generators in the system. If there are no redundant generators, the strategy ensures that at least one generator is operating normally. If there are still redundant generators, the strategy schedules them to be shut down to the recommended number and capacity.

[0131] In this embodiment, different load ranges can be divided in a more scientific and effective manner based on load characteristics to set different output targets for photovoltaic and generators, enabling high-economic planning and stability control of the system within different load ranges. By combining the intermittent distributed energy capacity value with the real-time operating load rate of the generators, the photovoltaic output power can be precisely controlled and the start-up, shutdown, and operation targets of the generators can be scientifically planned and scheduled. In addition, this application is independent of the prediction mechanism, which better ensures system stability while increasing the penetration rate of intermittent distributed energy, thus effectively improving economic efficiency.

[0132] Example 2

[0133] A control system for an off-grid microgrid system, the off-grid microgrid system comprising a heavy oil turbine power generation system and an intermittent distributed energy generation system, such as... Figure 5 As shown, the control system includes:

[0134] The interval table preset module 1 is used to preset a load interval table, which stores multiple load segment intervals between 0 and the maximum load, as well as a first target value of the generator output power and a second target value of the distributed energy output power corresponding to each load segment interval; wherein, the maximum load is the sum of the maximum loads of the heavy oil generator power generation system and the intermittent distributed energy power generation system;

[0135] Specifically, this embodiment takes a diesel-solar off-grid system as an example, where the heavy-duty oil turbine generator system generates diesel power and the intermittent distributed energy generation system generates photovoltaic power. The load is set between 0 and Pload_max, where Pload_max = Pv_cap + Oil_cap, which is the sum of the maximum capacities of the photovoltaic and diesel generators, determining the upper limit of the load. Based on the characteristic attributes of the off-grid system and load data, the load is divided into N parts to obtain Pload_i, i∈(1, 2, 3...N), where N is an integer. This yields N-1 load segment intervals, labeled as Pload_i to Pload_(i-1). Different photovoltaic output target values ​​Pv_obj and diesel generator output target values ​​Oil_obj are then set for different load segments. These target values ​​are based on big data statistics, considering the characteristics of the off-grid system and the system's main power supply capacity, load, and other characteristic factors, and are the target outputs of different power devices within different load intervals.

[0136] Real-time data acquisition module 2 is used to acquire the real-time load of the off-grid microgrid system, the real-time load including the first real-time load of the heavy oil generator power generation system and the second real-time load of the intermittent distributed energy power generation system;

[0137] Matching module 3 is used to match the real-time load with the load interval table to obtain the real-time segment interval corresponding to the real-time load;

[0138] The first adjustment module 5 is used to adjust the output power of the heavy oil generator system based on the first real-time target value corresponding to the real-time segment interval and the first real-time load.

[0139] The second adjustment module 4 is used to adjust the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load.

[0140] In this embodiment, the second adjustment module 4 is specifically used for:

[0141] The output power of the intermittent distributed energy generation system is adjusted based on a set power step size, with the second real-time target value as the objective.

[0142] For more details, see Figure 5 The second adjustment module 4 specifically includes a first detection unit 41, a first adjustment unit 42, and a second adjustment unit 43;

[0143] The first detection unit 41 is used to detect whether the output power of the intermittent distributed energy generation system can reach the second real-time target value;

[0144] If so, the first adjustment unit 42 is called to set the power step size for a single adjustment, and the output power of the intermittent distributed energy generation system is adjusted using the product of the first coefficient and the updated second real-time load as the stable control value.

[0145] If not, the second adjustment unit 43 is invoked to set the power step size for a single adjustment, and the output power of the intermittent distributed energy generation system is adjusted using the product of the second coefficient and the maximum load of the intermittent distributed energy generation system as a stable control value; wherein, the first coefficient is not less than the second coefficient.

[0146] Specifically, when the photovoltaic (PV) power output is capable of ramping up to Pv_Obj, meaning that under the photovoltaic control command Pv_Ref, the PV output power value Pv_Power can approach Pv_Obj, then the control is locked at, for example, 90% of the current PV output power value (the real-time value updated after a single adjustment of the set power step size). When the PV power output is unable to ramp up to Pv_Obj, meaning that under the photovoltaic control command Pv_Ref, the PV output power value Pv_Power cannot approach Pv_Obj, then the control is locked at, for example, 80% of the current maximum PV output power value, i.e., 80% * Pv_PowerMax is used as the stable control value for the PV.

[0147] In this embodiment, see Figure 5 The control system further includes:

[0148] The stability control module 6 is used to control the output power of the intermittent distributed energy generation system to run at a stable control value for a preset time, and then return to call the second adjustment unit 43 to continue adjusting the output power of the intermittent distributed energy generation system by setting a power step size.

[0149] Specifically, when the system is running at a stable control value, it maintains that power level for, for example, 2 minutes. If the photovoltaic output power decreases within these 2 minutes, the system will adjust accordingly to follow the photovoltaic output until the optimal control is resumed after 2 minutes.

[0150] In this embodiment, see Figure 5 The control system further includes:

[0151] The division module 7 is used to divide the intermittent distributed energy generation system into multiple working stages based on the working intensity. The working stages include the climbing stage, the leveling stage, and the descending stage.

[0152] See Figure 5 The second adjustment module 4 further includes:

[0153] The parameter setting unit 44 is used to set the first coefficient and the second coefficient corresponding to each working stage respectively;

[0154] Wherein, the first coefficient of the leveling stage is not less than the first coefficient of the descending stage and the climbing stage, and the second coefficient of the leveling stage is not less than the second coefficient of the descending stage and the climbing stage.

[0155] Specifically, given the intermittent nature of photovoltaic (PV) power generation, three slope sections (climbing, leveling, and retreating) can be set based on local irradiance. For example, the 7-11 AM interval could be designated as the PV climbing section, 11-3 PM as the leveling section, and 3-6 PM as the retreating section. Furthermore, different stability control values ​​can be set for different operating stages of PV power generation, i.e., different first and second coefficients. Additionally, the stability control time can be adaptively set according to different operating stages, i.e., different preset times can be set, for example:

[0156] I. Photovoltaics are in the ramp-up phase

[0157] When photovoltaics is in the ramp-up phase, a fixed power step size is set to P_STEP, and ramp-up is then carried out using the fixed power step size.

[0158] The specific control strategies are as follows:

[0159] During the photovoltaic ramp-up process, the photovoltaic system needs to ramp up to the vicinity of Pv_Obj in steps P_STEP. That is, in the control strategy, the photovoltaic control command Pv_Ref = Pv_Power + P_STEP continuously accumulates the ramp-up, and keeps following the target output.

[0160] (1) When photovoltaics are capable of ramping up to Pv_Obj

[0161] When the photovoltaic output power value Pv_Power approaches Pv_Obj under the photovoltaic control command Pv_Ref, the control is locked at 90% of the current photovoltaic output power value (the real-time value updated after a single adjustment of the set power step). Simultaneously, a flag indicating that the photovoltaic power has stabilized is set, and this power level is maintained for 2 minutes. If the photovoltaic output power decreases during these 2 minutes, the control follows the photovoltaic output, continuing the optimization control process after 2 minutes.

[0162] (2) When photovoltaics are unable to ramp up to Pv_Obj

[0163] When the photovoltaic output power value Pv_Power cannot approach Pv_Obj under the photovoltaic control command Pv_Ref, a lock-in control is implemented at 80% of the current maximum photovoltaic output power value, i.e., 80% * Pv_PowerMax is used as the stable control value for the photovoltaic system. Simultaneously, a current photovoltaic stability flag is set, and this power level is maintained for 2 minutes. If the photovoltaic output power decreases within these 2 minutes, the photovoltaic output power is adjusted accordingly. This process continues until after 2 minutes, at which point optimal control is resumed.

[0164] II. Photovoltaics are in a flat phase.

[0165] When photovoltaic power is in a plateau phase, the output is relatively constant and the fluctuation range is small. Stability control is then implemented.

[0166] In the photovoltaic power output process, Pv_Obj is the target. In the control strategy, the photovoltaic system uses the control command Pv_Ref = Pv_Power ± P_STEP to perform load following and optimize power output.

[0167] (1) When photovoltaics are capable of ramping up to Pv_Obj

[0168] When the photovoltaic output power value Pv_Power approaches Pv_Obj under the photovoltaic control command Pv_Ref, it is locked at 90% of the current photovoltaic output power value. Simultaneously, a photovoltaic stability flag is set, and this power level is maintained for 3 minutes. During these 3 minutes, if the photovoltaic output power decreases, the control will follow the photovoltaic output. Optimization control continues after 3 minutes.

[0169] (2) When photovoltaics are unable to ramp up to Pv_Obj

[0170] When the photovoltaic output power value Pv_Power cannot approach Pv_Obj under the photovoltaic control command Pv_Ref, a lock-in control is implemented at 90% of the current maximum photovoltaic output power value, i.e., 90% * Pv_PowerMax, which is used as the stable control value for the photovoltaic system. Simultaneously, a current photovoltaic stability flag is set, and this power level is maintained for 3 minutes. During these 3 minutes, if the photovoltaic output power decreases, the control will follow the photovoltaic output. This process continues until after 3 minutes, at which point optimal control is resumed.

[0171] III. Photovoltaic industry is in a phase of subsidy reduction.

[0172] When photovoltaic power generation is in a phase of phase-out, the fluctuation range will be larger due to the declining trend in photovoltaic power output and the increase in uncertainties. The following stability controls are required.

[0173] During photovoltaic (PV) power output, the PV system targets Pv_Obj. The control strategy uses the control command Pv_Ref = Pv_Power ± P_STEP to perform load following and optimize power output.

[0174] (1) When photovoltaics are capable of ramping up to Pv_Obj

[0175] When the photovoltaic output power value Pv_Power approaches Pv_Obj under the photovoltaic control command Pv_Ref, it indicates that the photovoltaic system is capable of ramping up to the target area and locking control at 85% of the current photovoltaic output power value. Simultaneously, a current photovoltaic stability flag is set, and this power level is maintained for 2 minutes. During these 2 minutes, if the photovoltaic output power decreases, the system will follow the photovoltaic output. Optimization control continues after 2 minutes.

[0176] (2) When photovoltaics are unable to ramp up to Pv_Obj

[0177] When the photovoltaic output power value Pv_Power cannot approach Pv_Obj under the photovoltaic control command Pv_Ref, a lock-in control is implemented at 85% of the current maximum photovoltaic output power value, i.e., 85% * Pv_PowerMax is used as the stable control value for the photovoltaic system. Simultaneously, a current photovoltaic stability flag is set, and this power level is maintained for 2 minutes. During these 2 minutes, if the photovoltaic output power decreases, the control will follow the photovoltaic output. This process continues until after 2 minutes, at which point the optimization control will resume.

[0178] In this embodiment, see Figure 5 The control system further updates the target value through the following steps, and the control system also includes:

[0179] The output ratio setting module 8 is used to set the output ratio of distributed energy generation corresponding to different load section intervals;

[0180] Segmentation module 9 is used to take the average of the upper and lower limits of the real-time segment interval as the segmentation point, and divide the real-time segment interval into an upper interval segment and a lower interval segment, wherein the value of the segmentation point is used as the lower limit of the upper interval segment and the upper limit of the lower interval segment.

[0181] The target value update module 101 is used to update the first real-time target value according to the real-time processing ratio corresponding to the real-time segment interval and the value of the segment point when the real-time load is in the lower interval segment, and update the second real-time target value according to the update difference of the first real-time target value.

[0182] Specifically, based on the different load intervals defined by the photovoltaic (PV) slope, the output target of PV is set as the PV output percentage (Di) in different load intervals (generally, Di is between 40% and 70%). Then, the PV output target value Pv_Obj and the corresponding generator output target value Oil_obj are determined. After obtaining the real-time load Pload through real-time sampling, it can be determined that this load falls within a certain interval of N-1 load intervals, marked as interval K. Then, the average load within this interval is calculated as Pload_avg = (Pload_(k+1) - Pload_k) / 2. This yields the lower load segment M1 (Pload_k, Pload_avg) and the upper load segment M2 (Pload_avg, Pload_(k+1)) within this load interval. Once the upper and lower load segments are obtained, the specific segment of the load within this load interval can be further determined. Then, the PV target value is updated based on the load interval and different segments, combined with the different PV output percentages (Di), as detailed below:

[0183] When the real-time load Pload is in the load sub-segment M1 of the K interval, the photovoltaic output target value Pv_obj' = Di * Pload_avg within this segment; further, after the photovoltaic output target value is updated, in order to ensure that the total output target is consistent with the total output target set in the load interval table, the corresponding generator output target value Oil_obj' = Oil_obj - (Pv_obj' - Pv_obj) is further updated based on the photovoltaic output target value Pv_obj obtained from different segments in the K interval.

[0184] It should be noted that when the load Pload is in the upper section M2 of the K interval load, the photovoltaic output target value and the generator output target value in this section are the target values ​​Pv_obj set in the load interval table.

[0185] In this embodiment, see Figure 5 The first adjustment module 5 specifically includes a load rate calculation unit 51, a second detection unit 52, a third adjustment unit 53, and a warning unit 54;

[0186] The load rate calculation unit 51 is used to obtain the real-time generator load rate and the target generator load rate of the heavy oil generator power generation system; the real-time generator load rate is the ratio of the real-time generator load to the maximum generator load, and the target generator load rate is the ratio of the first real-time target value to the maximum generator load.

[0187] The second detection unit 52 is used to call the third adjustment unit 53 to adjust the output power of all generators based on the target generator load rate when the difference between the real-time generator load rate and the highest generator load rate is less than the difference between the lowest generator load rate. During this process, the second detection unit 52 adds a corresponding number of generators according to the balancing strategy. If all generators are started, the warning unit 54 is called to issue an alarm message.

[0188] The second detection unit 52 is also used to call the third adjustment unit 53 to adjust the output power of all generators based on the target generator load rate when the difference between the real-time generator load rate and the highest generator load rate is greater than the difference between the lowest generator load rate. During this process, the corresponding number of generators is reduced according to the balancing strategy. If only one generator is left, then one generator is kept running.

[0189] Specifically, when the real-time load rate of the generators is close to the maximum generator load rate of the current interval, the balancing strategy checks in real time whether there are any backup generators available. If there are no backup generators, the strategy automatically reminds the maintenance personnel that the system is currently operating beyond its capacity. If backup generators still exist, the strategy adaptively calculates the required number and capacity of generators to be operated and then schedules them accordingly to share the load. When the real-time load rate of the generators is close to the minimum generator load rate of the current interval, the balancing strategy checks whether there are redundant generators in the system. If there are no redundant generators, the strategy ensures that at least one generator is operating normally. If there are still redundant generators, the strategy schedules them to be shut down to the recommended number and capacity.

[0190] In this embodiment, different load ranges can be divided in a more scientific and effective manner based on load characteristics to set different output targets for photovoltaic and generators, enabling high-economic planning and stability control of the system within different load ranges. By combining the intermittent distributed energy capacity value with the real-time operating load rate of the generators, the photovoltaic output power can be precisely controlled and the start-up, shutdown, and operation targets of the generators can be scientifically planned and scheduled. In addition, this application is independent of the prediction mechanism, which better ensures system stability while increasing the penetration rate of intermittent distributed energy, thus effectively improving economic efficiency.

[0191] Example 3

[0192] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the control method for the off-grid microgrid system described in Embodiment 1.

[0193] Figure 6 This is a schematic diagram of the structure of an electronic device provided in this embodiment. Figure 6 A block diagram is shown of an exemplary electronic device 90 suitable for implementing embodiments of the present invention. Figure 6The electronic device 90 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0194] like Figure 6 As shown, the electronic device 90 can be represented in the form of a general-purpose computing device, such as a server device. The components of the electronic device 90 may include, but are not limited to: at least one processor 91, at least one memory 92, and a bus 93 connecting different system components (including memory 92 and processor 91).

[0195] Bus 93 includes a data bus, an address bus, and a control bus.

[0196] The memory 92 may include volatile memory, such as random access memory (RAM) 921 and / or cache memory 922, and may further include read-only memory (ROM) 923.

[0197] The memory 92 may also include a program tool 925 having a set (at least one) of program modules 924, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0198] The processor 91 performs various functional applications and data processing by running computer programs stored in the memory 92.

[0199] Electronic device 90 can also communicate with one or more external devices 94 (e.g., keyboard, pointing device, etc.). This communication can be performed through input / output (I / O) interface 95. Furthermore, electronic device 90 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public network, such as the Internet) via network adapter 96. Network adapter 96 communicates with other modules of electronic device 90 via bus 93. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with electronic device 90, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems.

[0200] It should be noted that although several units / modules or sub-units / modules of the electronic device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0201] Example 4

[0202] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the control method for the off-grid microgrid system described in Embodiment 1.

[0203] The readable storage medium may be more specifically adopted, including but not limited to: portable disk, hard disk, random access memory, read-only memory, erasable programmable read-only memory, optical storage device, magnetic storage device, or any suitable combination thereof.

[0204] In a possible implementation, the present invention can also be implemented as a program product comprising program code, which, when the program product is run on a terminal device, is used to cause the terminal device to execute the control method for implementing the off-grid microgrid system described in Embodiment 1.

[0205] The program code for executing the present invention can be written in any combination of one or more programming languages. The program code can be executed entirely on the user device, partially on the user device, as a standalone software package, partially on the user device and partially on a remote device, or entirely on a remote device.

[0206] While specific embodiments of the present invention have been described above, those skilled in the art should understand that these are merely illustrative examples, and the scope of protection of the present invention is defined by the appended claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but all such changes and modifications fall within the scope of protection of the present invention.

Claims

1. A control method for an off-grid microgrid system, characterized in that, The off-grid microgrid system includes a heavy oil turbine power generation system and an intermittent distributed energy power generation system, and the control method includes: A load interval table is preset, which stores multiple load ranges from 0 to the maximum load, and a first target value for the generator output power and a second target value for the distributed energy output power corresponding to each load range; wherein, the maximum load is the sum of the maximum loads of the heavy-duty oil generator system and the intermittent distributed energy generation system; The real-time load of the off-grid microgrid system is obtained, wherein the real-time load includes the first real-time load of the heavy oil generator system and the second real-time load of the intermittent distributed energy generation system; Match the real-time load with the load interval table to obtain the real-time segment interval corresponding to the real-time load; The output power of the heavy oil generator system is adjusted based on the first real-time target value corresponding to the real-time segment interval and the first real-time load. The output power of the intermittent distributed energy generation system is adjusted based on the second real-time target value corresponding to the real-time segment interval and the second real-time load.

2. The control method for an off-grid microgrid system as described in claim 1, characterized in that, The control method further includes: Set the output ratio of distributed energy generation corresponding to different load sections; The average of the upper and lower limits of the real-time segment interval is taken as the segmentation point, and the real-time segment interval is divided into an upper interval segment and a lower interval segment. The value of the segmentation point is used as the lower limit of the upper interval segment and the upper limit of the lower interval segment. If the real-time load is in the lower interval segment, the first real-time target value is updated according to the real-time processing ratio corresponding to the real-time segment interval and the value of the segment point, and the second real-time target value is updated according to the update difference of the first real-time target value.

3. The control method for an off-grid microgrid system as described in claim 1, characterized in that, The step of adjusting the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load specifically includes: Using the second real-time target value as the objective, the output power of the intermittent distributed energy generation system is adjusted based on a set power step size.

4. The control method for an off-grid microgrid system as described in claim 3, characterized in that, The step of adjusting the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load specifically includes: Detect whether the output power of the intermittent distributed energy generation system can reach the second real-time target value; If so, after a single adjustment with a set power step size, the output power of the intermittent distributed energy generation system is adjusted using the product of the first coefficient and the updated second real-time load as a stable control value. If not, after a single adjustment with a set power step size, the output power of the intermittent distributed energy generation system is adjusted using the product of the second coefficient and the maximum load of the intermittent distributed energy generation system as a stable control value; wherein, the first coefficient is not less than the second coefficient.

5. The control method for an off-grid microgrid system as described in claim 3, characterized in that, After the step of adjusting the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load, the control method further includes: After the output power of the intermittent distributed energy generation system is controlled to a stable control value for a preset time, the output power of the intermittent distributed energy generation system is further adjusted with a set power step size.

6. The control method for an off-grid microgrid system as described in claim 4, characterized in that, The control method further includes: The intermittent distributed energy generation system is divided into multiple working stages based on the workload, including the ramp-up stage, the leveling stage, and the retracement stage. The step of adjusting the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load further includes: Set a first coefficient and a second coefficient corresponding to each work stage; Wherein, the first coefficient of the leveling stage is not less than the first coefficient of the descending stage and the climbing stage, and the second coefficient of the leveling stage is not less than the second coefficient of the descending stage and the climbing stage.

7. The control method for an off-grid microgrid system as described in claim 1, characterized in that, The step of adjusting the output power of the heavy oil generator system based on the first real-time target value corresponding to the real-time segment interval and the first real-time load specifically includes: The real-time generator load rate and target generator load rate of the heavy oil generator power generation system are obtained; the real-time generator load rate is the ratio of the real-time generator load to the maximum generator load, and the target generator load rate is the ratio of the first real-time target value to the maximum generator load. If the difference between the real-time generator load rate and the highest generator load rate is less than the difference between the lowest generator load rate, then during the process of adjusting the output power of all generators based on the target generator load rate, a corresponding number of generators are added according to the balancing strategy. If all generators are started, an alarm message is issued. If the difference between the real-time generator load rate and the highest generator load rate is greater than the difference between the lowest generator load rate, then during the process of adjusting the output power of all generators based on the target generator load rate, the corresponding number of generators is reduced according to the balancing strategy. If only one generator remains, then one generator is kept running.

8. A control system for an off-grid microgrid system, characterized in that, The off-grid microgrid system includes a heavy oil turbine power generation system and an intermittent distributed energy power generation system, and the control system includes: The interval table preset module is used to preset a load interval table, which stores multiple load segment intervals between 0 and the maximum load, as well as a first target value of the generator output power and a second target value of the distributed energy output power corresponding to each load segment interval; wherein, the maximum load is the sum of the maximum loads of the heavy oil generator system and the intermittent distributed energy generation system; The real-time data acquisition module is used to acquire the real-time load of the off-grid microgrid system, wherein the real-time load includes the first real-time load of the heavy oil generator power generation system and the second real-time load of the intermittent distributed energy power generation system. The matching module is used to match the real-time load with the load interval table to obtain the real-time segment interval corresponding to the real-time load; The first adjustment module is used to adjust the output power of the heavy oil generator system based on the first real-time target value corresponding to the real-time segment interval and the first real-time load. The second adjustment module is used to adjust the output power of the intermittent distributed energy generation system based on the second real-time target value corresponding to the real-time segment interval and the second real-time load.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the control method for the off-grid microgrid system according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the control method for the off-grid microgrid system according to any one of claims 1 to 7.

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