Automatic parallel control method and system for diesel generator sets

Abstract

The present invention discloses a method and system for automatically controlling parallel operation of diesel generator sets, relating to the field of generator set control technology. The method comprises the following steps: collecting electrical and mechanical parameters of the generator sets to be paralleled; using the electrical and mechanical parameters to establish a double-layer coupling model, which is used to calculate the time interval that satisfies the paralleling conditions; determining a target power distribution value and an adjustment path after the paralleling conditions are detected; and executing control instructions generated based on the target power distribution value and the adjustment path to control circuit breaker closure within the time interval that satisfies the paralleling conditions, and adjusting the speed and excitation controller output to achieve power adjustment. The present invention improves the accuracy and adaptability of paralleling predictions, increases the success rate of paralleling, reduces paralleling impact, optimizes power distribution, and enhances system stability and economy.

Description

Technical Field

[0001] The present invention relates to the technical field of generator set control, and in particular to an automatic parallel control method and system for diesel generator sets. Background Art

[0002] Parallel operation of diesel generator sets is a crucial means of improving power supply reliability and optimizing resource allocation in modern power systems. Traditional methods for paralleling diesel generator sets primarily rely on manual observation and control. With the advancement of power system automation, semi-automatic paralleling systems are increasingly being implemented, enabling basic automated paralleling operations by measuring parameters such as frequency, voltage, and phase difference. Existing paralleling control technologies mostly employ single-parameter monitoring or simple parameter combination models, primarily based on static threshold judgments. These technologies typically separate electrical parameters (such as frequency, voltage, and phase) from mechanical parameters (such as speed, torque, and power), lacking in-depth analysis of the coupling relationships between these parameters. Current research, both domestically and internationally, primarily focuses on determining paralleling conditions and selecting circuit breaker closing timing. Research on post-parallel power distribution and adjustment processes is relatively limited, particularly the lack of a systematic approach that integrates pre-parallel judgment with post-parallel control.

[0003] However, existing diesel generator set paralleling technology has many shortcomings. First, the parameter acquisition and processing mechanism is simple, making it difficult to handle the complex coupling relationship between electrical and mechanical parameters. This leads to inaccurate judgment of paralleling conditions, low paralleling success rate, and large paralleling impact. Second, existing technologies lack precise calculations for selecting paralleling timing, often relying solely on static threshold judgments, failing to fully consider the dynamic changes in parameters, which can easily lead to inappropriate paralleling timing. Third, the power distribution scheme after paralleling is single, failing to comprehensively consider multiple factors such as system stability, fuel economy, equipment wear, and load responsiveness, resulting in unreasonable power distribution and low system operating efficiency. In addition, the power adjustment process is crudely controlled and lacks a smooth transition mechanism, which can easily cause power fluctuations and system frequency fluctuations, affecting system stability. Finally, the circuit breaker operation delay is not effectively compensated, resulting in a deviation between the actual circuit breaker closing time and the calculated optimal paralleling time, reducing the paralleling quality. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method and system for automatic parallel control of diesel generator sets, which can solve the problems mentioned in the background technology.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a method for automatic parallel control of diesel generator sets, comprising: collecting electrical parameters and mechanical parameters of the generator sets to be paralleled; wherein the electrical parameters and mechanical parameters are used to establish a double-layer coupling model, and the double-layer coupling model is used to calculate the time interval that meets the paralleling conditions; after detecting the time interval that meets the paralleling conditions, determining the power distribution target value and adjustment path after paralleling; wherein the power distribution target value is determined according to the grid load state and the rated parameters of the diesel generator sets; executing control instructions generated according to the power distribution target value and the adjustment path, controlling the circuit breaker to close within the time interval that meets the paralleling conditions, and adjusting the speed and excitation controller output to achieve power adjustment.

[0007] As a preferred solution of the automatic parallel control method for diesel generator sets described in the present invention, the establishment of a double-layer coupling model includes: obtaining historical parallel record data, using historical electrical parameters in the historical parallel record data to construct an electrical characteristic layer, and using historical mechanical parameters in the historical parallel record data to construct a mechanical characteristic layer; connecting the electrical characteristic layer and the mechanical characteristic layer through a data interaction interface to form an initial double-layer coupling model; using the collected electrical parameters and mechanical parameters of the generator sets to be paralleled, calibrating the initial double-layer coupling model to complete the construction of a double-layer coupling model that adapts to the current parallel conditions.

[0008] As a preferred solution of the automatic parallel control method for diesel generator sets described in the present invention, the calculation of the time interval that meets the parallel conditions includes: inputting the collected electrical parameters and mechanical parameters of the generator sets to be paralleled into a calibrated double-layer coupling model, and calculating the parameter change value in the future time period; setting a parallel condition threshold, and in the future time period, screening out continuous time periods that simultaneously meet the parallel condition threshold as the time interval that meets the parallel condition.

[0009] As a preferred solution of the automatic parallel control method for diesel generator sets described in the present invention, wherein: after detecting the time interval that meets the parallel conditions, determining the power distribution target value and adjustment path after paralleling, including: obtaining the grid load status, load change value and rated parameters of each diesel generator set within the time interval that meets the parallel conditions; inputting the grid load status, the load change value and the rated parameters of the diesel generator set into a multi-objective constraint optimization calculation, calculating multiple optimization indicators and solving to obtain the power distribution target value; according to the parallelizable moment within the time interval that meets the parallel conditions, combined with the current power state of the diesel generator set and the power distribution target value, applying a nonlinear segmented control method to generate an adjustment path; wherein, the parallelizable moment is the moment point that meets the parallel condition threshold.

[0010] As a preferred solution of the automatic parallel control method for diesel generator sets described in the present invention, the multi-objective constrained optimization calculation includes the following steps: according to the load state of the power grid, by calculating the quantitative value of the impact of power fluctuations on the system frequency, a system stability index is obtained; according to the rated parameters of the diesel generator sets and the fuel consumption curves of each generator set under different loads, a fuel economy index is obtained; based on the rated parameters of the diesel generator sets and the equipment state evaluation model established based on the historical operating data, the equipment wear index is determined; according to the load change value and the dynamic characteristic parameters of the generator set, a load response index is calculated; the system stability index, fuel economy index, equipment wear index, and load response index are substituted into the optimization function to solve and obtain the power distribution target value.

[0011] As a preferred solution of the automatic parallel control method for diesel generator sets described in the present invention, wherein: the controlling of the circuit breaker closing within the time interval that meets the parallel conditions includes: constructing a parallel window scoring function in the time interval that meets the parallel conditions; calculating the parallel score value at each moment in the time interval that meets the parallel conditions through the parallel window scoring function, and selecting the moment with the highest score value as the parallel moment; measuring the circuit breaker operation delay value, and sending a closing instruction to the circuit breaker in advance, so that the actual closing moment of the circuit breaker is consistent with the parallel moment.

[0012] As a preferred solution of the automatic parallel control method for diesel generator sets described in the present invention, the adjusting the speed and excitation controller output to achieve power adjustment includes: after the circuit breaker is actually closed, determining the output adjustment sequence of the speed controller according to the active power target in the power distribution target value; determining the output adjustment sequence of the excitation controller according to the reactive power target in the power distribution target value; and executing speed control and excitation control respectively according to the output adjustment sequence of the speed controller and the output adjustment sequence of the excitation controller to achieve coordinated adjustment of active power and reactive power.

[0013] To further solve the above technical problems, the present invention provides the following technical solutions: an automatic parallel control system for diesel generator sets, comprising: a parameter acquisition unit, for acquiring electrical parameters and mechanical parameters of the generator sets to be paralleled; wherein the electrical parameters and mechanical parameters are used to establish a double-layer coupling model, and the double-layer coupling model is used to calculate the time interval that meets the paralleling conditions; a paralleling decision unit, for determining the power distribution target value and adjustment path after paralleling after detecting the time interval that meets the paralleling conditions; a control execution unit, for executing control instructions generated according to the power distribution target value and adjustment path, controlling the circuit breaker to close within the time interval that meets the paralleling conditions, and adjusting the speed and excitation controller output to achieve power adjustment.

[0014] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the automatic parallel control method for diesel generator sets are implemented.

[0015] A computer-readable storage medium stores a computer program thereon, wherein when the computer program is executed by a processor, the steps of the above-mentioned automatic parallel control method for diesel generator sets are implemented.

[0016] Beneficial effects of the present invention: The present invention overcomes the defect of insufficient processing of correlation between parameters in traditional parallel control systems by establishing a double-layer coupling model of electrical parameters and mechanical parameters, realizes accurate prediction of the parallel condition time interval, and improves the parallel success rate. The parallel window scoring function is adopted, which not only considers the absolute deviation value of the parameter, but also makes a comprehensive evaluation based on the parameter change trend, thereby realizing the intelligent selection of the optimal parallel time. The introduction of the circuit breaker operation delay compensation mechanism solves the problem of inconsistency between the actual closing time of the circuit breaker and the optimal parallel time. Through multi-objective constraint optimization calculation, taking into account multiple factors such as system stability, fuel economy, equipment wear and load response capability, a comprehensive optimization of power distribution is achieved. The application of nonlinear segmented control method to generate adjustment path makes the power adjustment process smooth and controllable, effectively avoiding the drastic power fluctuations in traditional control. The coordinated design of speed control and excitation control realizes the coordinated adjustment of active power and reactive power, and improves the stability and economy of the overall operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 This is a schematic diagram of the overall flow of an automatic parallel control method for diesel generator sets proposed by the present invention;

[0019] Figure 2 A flowchart for constructing a double-layer coupling model in the automatic parallel control method for diesel generator sets proposed in the present invention;

[0020] Figure 3 This is a schematic diagram of the overall structure of an automatic parallel control system for diesel generator sets proposed by the present invention;

[0021] Figure 4 This is a diagram of the computer equipment used in the automatic parallel control method for diesel generator sets proposed by the present invention. DETAILED DESCRIPTION

[0022] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] Example 1, reference Figure 1 and Figure 2 , as an embodiment of the present invention, provides a method for automatic parallel control of diesel generator sets.

[0025] In the relevant technologies, first, the parameter acquisition and processing mechanism is simple, and it is difficult to handle the complex coupling relationship between electrical parameters and mechanical parameters, resulting in inaccurate judgment of paralleling conditions, low paralleling success rate and large paralleling impact; second, the existing technology lacks precise calculation for the selection of paralleling timing, usually relying only on static threshold judgment, failing to fully consider the dynamic change characteristics of parameters, which can easily lead to improper selection of paralleling timing; third, the power distribution scheme after paralleling is single, failing to comprehensively consider multiple factors such as system stability, fuel economy, equipment wear and load response capability, resulting in unreasonable power distribution and low system operation efficiency; in addition, the power adjustment process control is extensive and lacks a smooth transition mechanism, which can easily cause power fluctuations and system frequency fluctuations, affecting system stability; finally, the circuit breaker operation delay is not effectively compensated, resulting in a deviation between the actual closing time of the circuit breaker and the calculated optimal paralleling time, reducing the paralleling quality.

[0026] The present application provides a method that can effectively solve the above-mentioned problems. Next, multiple embodiments will be combined to explain in detail how to implement the automatic parallel control method of the diesel generator set.

[0027] Figure 1 The figure shows the overall process of a method for automatically controlling parallel operation of a diesel generator set, which includes the following steps:

[0028] S1: Collect the electrical and mechanical parameters of the generator set to be paralleled.

[0029] The electrical parameters and mechanical parameters are used to establish a double-layer coupling model, which is used to calculate the time interval that meets the parallel conditions.

[0030] In the embodiment of the present application, the specific operations for establishing the double-layer coupling model may be:

[0031] Obtain historical parallel record data, use the historical electrical parameters in the historical parallel record data to build an electrical characteristic layer, and use the historical mechanical parameters in the historical parallel record data to build a mechanical characteristic layer;

[0032] Connect the electrical property layer and the mechanical property layer through a data interaction interface to form an initial two-layer coupling model;

[0033] The initial double-layer coupling model is calibrated using the collected electrical and mechanical parameters of the generator sets to be connected in parallel, completing the construction of a double-layer coupling model that adapts to the current parallel conditions.

[0034] It should be noted that the electrical characteristic layer includes mapping relationships for processing frequency, voltage, and phase variables; and the mechanical characteristic layer includes mapping relationships for processing speed, torque, and power variables.

[0035] In the embodiment of the present application, the specific operation of calculating the time interval that meets the parallel condition may be:

[0036] Input the collected electrical and mechanical parameters of the generator sets to be connected to the calibrated double-layer coupling model to calculate the parameter changes in the future period;

[0037] Set the parallel condition threshold. In the future, select consecutive time periods that meet the parallel condition threshold at the same time as the time interval that meets the parallel condition.

[0038] It should be noted that the parameter change values ​​include the change values ​​of electrical parameters and the change values ​​of mechanical parameters; the parallel condition thresholds include the frequency difference threshold, the voltage difference threshold and the phase difference threshold.

[0039] In this embodiment, the electrical and mechanical parameters of the generator sets to be paralleled must first be collected. Specifically, electrical parameters include but are not limited to frequency, voltage, and phase, while mechanical parameters include but are not limited to speed, torque, and power. These parameters can be acquired in real time using various sensors installed on the generator sets. For example, electrical parameters can be acquired using PMUs (Phasor Measurement Units), power analyzers, and phase detectors, while mechanical parameters can be acquired using Hall-effect speed sensors, magnetoresistive torque sensors, and power meters. Data collected by these sensors is transmitted to the control system for processing via standard industrial buses (such as MODBUS, PROFIBUS, etc.) or Ethernet.

[0040] The collected electrical and mechanical parameters are used to establish a dual-layer coupling model. This model, the core technological innovation of this invention, accurately calculates the time intervals that meet the paralleling conditions. Unlike traditional single-layer parameter processing models, this dual-layer coupling model, by establishing an interactive mapping between the electrical and mechanical layers, can more accurately reflect the complex dynamic characteristics of the generator sets during the paralleling process.

[0041] In the embodiments of this application, Figure 2 As shown in Figure 2, the specific operations for establishing a double-layer coupling model include the following steps:

[0042] First, obtain historical parallel data. This data can be extracted from the power plant's database or accumulated over time through a dedicated data logging system. This data includes historical electrical parameters (frequency, voltage, and phase), mechanical parameters (speed, torque, and power), and corresponding parallel results (parallel success or failure, parallel impact, and system stability after paralleling). The historical data should generally span at least six months to cover paralleling scenarios under various operating and environmental conditions.

[0043] Then, the electrical characteristics layer is constructed using historical electrical parameters from historical parallel operation data. This is achieved by using a long short-term memory (LSTM) algorithm with time series processing capabilities to establish a frequency change prediction model; a support vector regression (SVR) algorithm to establish a voltage response model; and a Kalman filter-based prediction algorithm to establish a phase change model. The electrical characteristics layer includes mappings for frequency, voltage, and phase variables, describing the interactions between these electrical parameters and their evolution over time. For example, there is a derivative relationship between frequency and phase, and voltage changes affect the rate of change of the phase angle. Using these algorithms and models, the electrical characteristics layer can learn and extract patterns and regularities in electrical parameter changes based on historical data.

[0044] At the same time, a mechanical characteristic layer is constructed using historical mechanical parameters from historical parallel operation data. This is achieved by using a recurrent neural network (RNN) to model speed response; a multi-layer perceptron (MLP) algorithm to model torque variation; and an autoregressive integrated moving average (ARIMA) model to model power variation. The mechanical characteristic layer includes mappings for speed, torque, and power variables, describing the interactions between these mechanical parameters and their changing patterns. For example, there is an inertial relationship between speed and torque, and power is a function of the product of speed and torque. Using these specific algorithms and models, the mechanical characteristic layer can learn and extract the changing characteristics and patterns of mechanical parameters from historical data.

[0045] Next, the electrical and mechanical properties layers are connected via a data exchange interface to form an initial two-layer coupled model. This data exchange interface utilizes an attention mechanism to achieve selective information transfer and weighted fusion between the two layers. Specifically, it includes a frequency-speed mapping interface, which uses a linear mapping matrix to establish the correspondence between frequency and speed; a voltage-torque mapping interface, which uses a nonlinear activation function (such as ReLU) to establish the correspondence between voltage and torque; and a phase-power mapping interface, which uses a bidirectional gated recurrent unit (Bi-GRU) to establish the temporal relationship between phase and power. These specific interface designs enable information transfer and mutual influence between the two parameter types, establishing a complete two-layer coupled relationship.

[0046] Finally, the initial two-layer coupling model is calibrated using the collected electrical and mechanical parameters of the generator sets to be paralleled, completing the construction of a two-layer coupling model adapted to the current paralleling conditions. This calibration process utilizes a combination of online learning and transfer learning. Specifically, the initial model is fed with the real-time collected electrical and mechanical parameters; the error between the model output and the actual observed values ​​is calculated using the least squares method; the model's internal parameter weights are adjusted using the back propagation algorithm; and the model parameters are iteratively updated using the Adam optimizer until the error converges below a preset threshold. This calibration process adapts the model to the actual operating conditions and characteristics of the current generator sets, providing a foundation for accurate calculation of the paralleling condition time interval.

[0047] After completing the establishment and calibration of the dual-layer coupling model, the next step is to use the model to calculate the time interval that meets the parallel conditions. The specific calculation process is as follows:

[0048] First, the collected electrical and mechanical parameters of the generator sets to be paralleled are input into a calibrated two-layer coupling model. A forward propagation algorithm is used to calculate parameter changes over a future period (typically 30 seconds to 2 minutes). These parameter changes include changes in electrical parameters (frequency, voltage, and phase) and mechanical parameters (speed, torque, and power). These changes are output as a time series, describing the likely trajectory of the generator set's operating status over the next period.

[0049] Then, based on grid operating regulations and power generation equipment technical requirements, set paralleling thresholds. These thresholds include frequency difference, voltage difference, and phase difference. For medium-sized diesel generator sets (500kW-2000kW), the frequency difference threshold is typically set at ±0.1Hz, the voltage difference threshold at ±5% of the rated voltage, and the phase difference threshold at ±10°. For large units (>2000kW), stricter thresholds may be required; for small units (<500kW), the threshold requirements can be relaxed appropriately. These thresholds are set to balance equipment safety and the feasibility of parallel operation.

[0050] Finally, within the calculated future time period, a sliding window algorithm and dynamic programming methods are used to screen out continuous time periods that simultaneously meet the paralleling thresholds. These time periods serve as the time intervals that meet the paralleling conditions. The specific screening process involves using Boolean logic to determine whether the frequency, voltage, and phase differences at each time point are less than their respective thresholds; using AND logic operations to identify time points that simultaneously meet all three conditions; and using connected component analysis to determine the continuous time periods that meet these conditions. Through this process, the present invention can accurately identify the time windows within which generator sets can be safely paralleled, laying the foundation for subsequent paralleling decision-making and control.

[0051] It's important to note that the electrical characteristic layer in the two-layer coupled model is a functional module dedicated to processing electrical parameter mapping relationships. This mapping relationship refers to the functional relationship between the three electrical parameters: frequency, voltage, and phase, and how they change over time. For example, the frequency change rate has an integral relationship with the phase change, voltage changes are related to load characteristics, and phase differences affect power transfer. The electrical characteristic layer uses algorithms such as the aforementioned LSTM, SVR, and Kalman filtering to extract and characterize these mapping relationships, enabling accurate prediction of future trends in electrical parameters.

[0052] The mechanical characteristics layer, another key component of the two-layer coupling model, specifically handles the mapping relationship between the three mechanical parameters of speed, torque, and power. These mechanical parameters directly reflect the physical operating state of the generator set, and there are clear physical relationships between them. For example, power is equal to the product of speed and torque multiplied by a coefficient. Using algorithms such as RNN, MLP, and ARIMA, the mechanical characteristics layer models the mapping relationship between mechanical parameters, enabling accurate prediction of future trends in these parameters.

[0053] The data exchange interface bridges the electrical and mechanical layers. Its core function is to facilitate information exchange and mutual influence between these two parameter types. In actual generator sets, electrical and mechanical parameters are tightly coupled. For example, frequency is directly related to speed, voltage is related to excitation current and load, and phase difference can affect power transfer. The data exchange interface, implemented through algorithms such as the attention mechanism, enables the model to accurately capture and characterize these complex relationships across parameter types.

[0054] Parameter change values ​​are a key output of the dual-layer coupling model. They represent the change in electrical and mechanical parameters relative to their current values ​​over a future period. Accurately predicting these changes is crucial for determining the timing of parallel operation, as paralleling conditions depend not only on the instantaneous values ​​of the parameters but also on their changing trends. For example, even if the current frequency difference meets the requirements, if its changing trend indicates that it will exceed the threshold within a short period of time, paralleling may still be unsafe.

[0055] Parallel condition thresholds are specific criteria for determining whether generator sets can be safely paralleled. These include frequency difference, voltage difference, and phase difference thresholds. The setting of these thresholds requires comprehensive consideration of the generator set's technical parameters, grid requirements, and safety margins. For example, for variable-frequency-start diesel generator sets, the frequency difference threshold may be more relaxed; whereas for direct-start generator sets, stricter threshold control is required. The rationality of threshold settings directly impacts the safety and success rate of paralleling.

[0056] Preferably, the present invention collects the electrical and mechanical parameters of the generator sets to be paralleled, establishes a double-layer coupling model, and uses the model to calculate the time interval that meets the paralleling conditions, thereby achieving precise control and prediction of the paralleling process. Compared with traditional single-parameter monitoring or simple parameter combination methods, the present invention has the following advantages: First, it improves the accuracy of paralleling prediction. The double-layer coupling model can fully consider the mutual influence of electrical and mechanical parameters, making the calculation of the paralleling condition time interval more accurate and reliable; second, it enhances the adaptability of the present invention. Through the model calibration mechanism, it can quickly adapt to the characteristics of different generator sets and the changing paralleling environment; third, it improves the success rate of paralleling operations. Accurate time interval prediction provides a reliable basis for paralleling decisions and reduces failed paralleling attempts. In addition, it reduces the paralleling impact. The paralleling operation is performed at the optimal time, significantly reducing electrical and mechanical impact and protecting equipment safety. Finally, it improves the intelligence level of the system. The introduction of the double-layer coupling model enables the paralleling control system to have intelligent prediction and decision-making capabilities, reduces manual intervention, and improves the degree of system automation.

[0057] S2: After detecting the time interval that meets the parallel conditions, determine the power distribution target value and adjustment path after the parallel operation.

[0058] The power distribution target value is determined according to the grid load status and the rated parameters of the diesel generator set.

[0059] In the embodiment of the present application, the specific operations may be:

[0060] After detecting the time interval that meets the parallel conditions, the target power distribution value and adjustment path after paralleling are determined, including:

[0061] Obtain the grid load status, load change value and rated parameters of each diesel generator set within the time interval that meets the parallel conditions;

[0062] The grid load status, load change value and rated parameters of the diesel generator set are input into the multi-objective constraint optimization calculation, multiple optimization indicators are calculated and solved to obtain the power distribution target value;

[0063] According to the available parallel time within the time interval that meets the parallel conditions, combined with the current power status of the diesel generator set and the power distribution target value, the nonlinear segmented control method is applied to generate the adjustment path;

[0064] The parallel-enabled time is the time point at which the parallel condition threshold is met.

[0065] Specifically, the multi-objective constraint optimization calculation includes the following steps:

[0066] According to the load status of the power grid, the system stability index is obtained by calculating the quantitative value of the impact of power fluctuation on the system frequency;

[0067] According to the rated parameters of the diesel generator set and the fuel consumption curve of each generator set under different loads, the fuel economy index is obtained;

[0068] An equipment condition assessment model is established based on the rated parameters and historical operating data of the diesel generator set to determine the equipment wear index;

[0069] Calculate the load response index based on the load change value and the dynamic characteristic parameters of the generator set;

[0070] The system stability index, fuel economy index, equipment wear index, and load response index are substituted into the optimization function to obtain the power distribution target value.

[0071] Furthermore, after detecting the time interval that meets the paralleling conditions, the present invention needs to determine the target power distribution value and adjustment path after the paralleling. This step solves the technical problems of unreasonable power distribution and large impact during the adjustment process in traditional diesel generator set paralleling control.

[0072] In this embodiment, the system first checks whether a time interval meeting the parallel conditions has been found. If the system detects a time interval meeting the parallel conditions, it means that the parallel operation can be performed within that time interval, and the basic parallel conditions (i.e., the frequency difference, voltage difference, and phase difference are all within the preset threshold range) are met. However, to achieve a smooth and efficient parallel process, in addition to meeting the basic parallel conditions, it is also necessary to plan the power distribution plan and power adjustment path after the paralleling.

[0073] The specific operations for determining the target power distribution value and adjustment path after parallel operation include the following steps:

[0074] First, the grid load status, load variation values, and rated parameters of each diesel generator set within the time interval that meets the paralleling conditions are obtained. The grid load status refers to the total load power and its distribution on the current grid, which can be obtained through the grid monitoring system. The load variation value refers to the rate of change of the grid load and its predicted trend, which can be obtained through time series analysis of historical load data. The rated parameters of the diesel generator set include basic parameters such as rated power, rated voltage, and rated frequency, as well as operating parameters such as fuel consumption characteristics and dynamic response characteristics.

[0075] The grid load status is usually obtained through the SCADA system of the power monitoring system, with a sampling frequency of generally 1-10 times per second; the load change value is calculated by applying time series analysis methods to historical load data; the rated parameters of the diesel generator set are obtained from the unit nameplate or factory documents, while the operating parameters can be extracted from historical operating data or obtained through special tests.

[0076] Next, the acquired grid load status, load variation, and rated parameters of the diesel generator sets are input into a multi-objective constrained optimization calculation. This process simultaneously considers multiple objectives, including system stability, fuel economy, equipment wear, and load responsiveness. The system calculates multiple optimization metrics and substitutes them into the optimization function to determine the target power allocation value.

[0077] The multi-objective constrained optimization calculation includes the following specific steps:

[0078] The first step is to obtain the system stability index by calculating the quantitative value of the impact of power fluctuation on system frequency according to the grid load status. This indicator reflects the stability level of the system under the power allocation scheme. The calculation formula is:

[0079] ;

[0080] in, Indicates the allocated power of the gen-th generator set; Indicates the average distributed power of all units; Indicates the total power demand; N indicates the total number of generator sets; It represents the stability coefficient of the gen-1 unit and is related to the dynamic response characteristics of the unit.

[0081] This formula evaluates system stability based on the balance of power distribution. The more balanced the power distribution of each unit (i.e., the smaller the deviation between the power distribution of each unit and the average power), the higher the system stability index. Balanced power distribution can reduce the load fluctuation of a single unit and reduce the risk of system frequency fluctuation. By introducing the unit stability coefficient , taking into account the differences in stability contributions of different units.

[0082] The second step is to calculate the fuel economy index based on the rated parameters of the diesel generator set and the fuel consumption curve of each generator set under different loads. This indicator reflects the fuel consumption efficiency under the power distribution scheme. The calculation formula is:

[0083] ;

[0084] in, Indicates the allocated power of the gen-th generator set; Indicates the total power demand; Indicates the power of the first unit The fuel consumption rate under certain conditions is usually obtained by regression analysis of historical operating data.

[0085] Fuel economy indicators The calculation formula simulates the fuel consumption characteristics of a diesel generator set. The numerator represents total output power, and the denominator represents total fuel consumption. Therefore, a larger metric indicates more power generated per unit of fuel consumed, and thus better fuel economy. In practice, due to the varying fuel efficiency curves of different generator sets, the optimization algorithm will favor those with high efficiency operating in the high-efficiency range, thereby optimizing overall fuel economy.

[0086] The third step is to determine the equipment wear index by establishing an equipment condition assessment model based on the rated parameters and historical operating data of the diesel generator set. D wear This indicator reflects the impact of the power distribution scheme on the equipment life. The calculation formula is:

[0087] ;

[0088] in, P gen Indicates the allocated power of the gen-th generator set; P rated,gen Indicates the rated power of the gen-1 unit;P current,gen Indicates the current power of the gen unit; W gen is the weight coefficient of the gen-1 unit, which is related to the importance and remaining life of the unit; Kl oad,gen and K change,gen are the influence coefficients of load level and load change rate on equipment wear.

[0089] Equipment wear indicators D wear The calculation formula considers two main factors affecting equipment wear: first, the power load level; higher loads result in more severe equipment wear; and second, the magnitude of power fluctuations; more drastic power fluctuations result in greater impact on the equipment and, consequently, more severe wear. The closer this indicator is to 1, the less wear there is.

[0090] The fourth step is to calculate the load response index based on the load change value and the dynamic characteristic parameters of the generator set. R load This indicator reflects the responsiveness of the power distribution scheme to load changes. The calculation formula is:

[0091] ;

[0092] in, P gen Indicates the allocated power of the gen-th generator set; P_ total Indicates the total power demand; T gen Indicates the response time constant of the gen unit; T ref represents the reference response time constant; M gen ( P gen ) is a response matching function used to evaluate the unit's power P gen Load response effect under load.

[0093] Load response indicators R load Three key factors are considered: the contribution of each unit to the total power, the response speed of each unit, and the response matching of each unit's current operating point. The smaller the response time constant, the faster the response speed; the more suitable the operating point for the load response, the better the response effect. A higher this index, the stronger the overall load response capability of the system.

[0094] Finally, the above four indicators are substituted into the comprehensive optimization function to obtain the power allocation target value. The comprehensive optimization function is:

[0095] ;

[0096] ;

[0097] in, W stab 、 W fuel 、 W wear and W resp is the weight coefficient of the four optimization objectives, which can be adjusted according to actual application requirements; P min,gen and P max,gen are the minimum and maximum allowable operating power of the gen unit respectively.

[0098] This comprehensive optimization function combines the four optimization metrics using weighted coefficients to form a multi-objective optimization problem. By solving this optimization function, the optimal power allocation solution that satisfies all constraints can be found. This solution can be achieved using methods such as particle swarm optimization, genetic algorithms, or the Lagrange multiplier method.

[0099] After obtaining the target power allocation value, a nonlinear step-wise control method is applied to generate an adjustment path based on the available parallel time within the time interval that meets the parallel conditions, combined with the current power status of the diesel generator sets and the target power allocation value. The available parallel time is the point in time when the parallel condition thresholds are met, that is, when the frequency difference, voltage difference, and phase difference are all less than their respective thresholds.

[0100] The nonlinear segmented control method divides the power adjustment process into multiple stages, employing different control strategies in each stage to achieve a smooth transition. The specific implementation method is as follows: First, the power adjustment process is divided into an initial stage, an intermediate stage, and a final stage. Different control gains and adjustment rates are used for each stage to meet the control requirements. In the initial stage, a smaller control gain is used to slowly initiate power changes and avoid sudden shocks. In the intermediate stage, a larger control gain is used to accelerate power adjustment. In the final stage, the control gain is reduced again to achieve fine-grained power adjustment and a smooth transition to the target value.

[0101] The mathematical expression of the adjustment path can be described as:

[0102] ;

[0103] in, P ( t) indicates time t The power value at ; P start Indicates starting power; P target represents the target power; G ( t ) is a piecewise function defined as:

[0104] ;

[0105] here, T 1 and T 2 is the time dividing point of each stage; K 1. K 2 and K 3 are the control gains of each stage; T total is the total adjustment time.

[0106] This piecewise nonlinear control method generates a smooth power adjustment path, ensuring both rapid adjustment and avoiding significant fluctuations and shocks. The entire adjustment process is coordinated by the power control actuator, ensuring that actual power adjustment follows the pre-set adjustment path.

[0107] In the S2 stage, the present invention determines the power distribution target value through multi-objective constrained optimization calculations and generates an adjustment path using a nonlinear segmented control method, achieving efficient and stable power distribution after the diesel generator sets are connected in parallel. This method takes into account multiple aspects such as system stability, fuel economy, equipment wear, and load responsiveness, making the power distribution scheme more comprehensive and reasonable. The calculation of each optimization index takes into account the characteristic differences and actual operating environment of the diesel generator sets, improving the practicality of the optimization results. The adjustment path generated by the nonlinear segmented control method is smooth, avoiding the drastic power fluctuations in traditional control and reducing the impact during the parallel connection and power adjustment process. The entire power distribution and adjustment process takes into account the system status and parallel connection conditions, forming an organic whole between parallel connection control and power distribution, and improving the coordination and stability of the system.

[0108] S3: Execute the control instructions generated according to the power distribution target value and the adjustment path, control the circuit breaker to close within the time interval that meets the parallel conditions, and adjust the speed and excitation controller output to achieve power adjustment.

[0109] In the embodiment of the present application, the specific operation of controlling the circuit breaker to close within the time interval that meets the parallel condition may be:

[0110] Construct a parallel window scoring function in the time interval that meets the parallel conditions;

[0111] The parallel window scoring function is used to calculate the parallel score values ​​at each moment within the time interval that meets the parallel conditions, and the moment with the highest score is selected as the parallel time.

[0112] Measure the circuit breaker operation delay value and send a closing instruction to the circuit breaker in advance so that the actual closing time of the circuit breaker is consistent with the parallel connection time.

[0113] It should be noted that the parallel window scoring function calculates the phase difference and its first-order derivative, the frequency difference and its first-order derivative, and the voltage difference and its first-order derivative respectively to obtain the scoring result.

[0114] In the embodiment of the present application, the specific operation of adjusting the speed and the output of the excitation controller to achieve power adjustment may be:

[0115] After the circuit breaker is actually closed, the output adjustment sequence of the speed controller is determined according to the active power target in the power distribution target value;

[0116] Determining an output adjustment sequence of an excitation controller according to a reactive power target in a power distribution target value;

[0117] According to the output adjustment sequence of the speed controller and the output adjustment sequence of the excitation controller, the speed control and the excitation control are respectively performed to achieve coordinated adjustment of active power and reactive power.

[0118] Furthermore, after determining the target power distribution value and adjustment path, the present invention executes corresponding control instructions, controlling the circuit breaker to close within a time interval that satisfies the paralleling conditions, and adjusting the speed and excitation controller output to achieve power regulation. This step is one of the core technical aspects of the present invention and is directly related to the success rate of the paralleling operation and the stability of the system after the paralleling.

[0119] In this embodiment, the process of executing control instructions is divided into two main stages: the first is circuit breaker closing control, which enables physical parallel operation; the second is power adjustment control, which implements power distribution after parallel operation. These two stages must work closely together to form a complete control chain, thereby achieving a smooth and reliable parallel operation.

[0120] First, the specific operations for controlling the circuit breaker closing within the time interval that meets the parallel conditions are as follows:

[0121] After detecting a time interval that meets the parallel conditions, the optimal parallel moment needs to be selected within this time interval. To achieve this, a parallel window scoring function is constructed. This scoring function not only considers the deviation of each parameter from the target value but also the parameter's changing trend, enabling a more comprehensive assessment of the parallel suitability at each moment.

[0122] The construction of a parallel window scoring function is a key innovation of this invention. Specifically, this function combines and calculates the phase difference and its first derivative, the frequency difference and its first derivative, and the voltage difference and its first derivative to produce a comprehensive scoring result. The phase, frequency, and voltage differences directly reflect the degree of parameter matching at the moment of parallel connection, while the first derivatives of these parameters reflect their changing trends, which is crucial for predicting future parameter changes.

[0123] The mathematical expression of the parallel window scoring function is:

[0124] ;

[0125] in, It's time The parallel rating value; 、 and Separate moments Phase difference, frequency difference and voltage difference; 、 and are the first derivatives (rates of change) of these differences, respectively; 、 and It is the weight coefficient of the three parameters, which is used to adjust the importance of different parameters in the scoring; 、 and is the corresponding scoring subfunction.

[0126] For the scoring subfunction of the phase parameter, its form is:

[0127] ;

[0128] here, is the standard deviation parameter of the phase difference, which is used to adjust the sensitivity of the function; is a small positive number used to avoid division by zero errors. The design of this function takes two aspects into consideration: first, the smaller the phase difference, the higher the score, which is obtained by the Gaussian function. Secondly, when the phase difference trend is conducive to reducing the phase difference (i.e. and The score will also increase when the sign of Item implementation.

[0129] The scoring subfunctions for frequency parameters and voltage parameters adopt similar forms, but may have different parameter values ​​to adapt to the characteristics of different parameters.

[0130] The parallel window scoring function calculates the parallel score for each moment within the time interval that meets the parallel conditions, and selects the moment with the highest score as the parallel time. This scoring-based selection method can identify the optimal parallel opportunity among multiple moments that meet the basic parallel conditions, thereby improving the parallel success rate and minimizing parallel impact.

[0131] However, in actual applications, circuit breaker operation has a time delay—a certain delay between issuing a close command and the actual closing of the circuit breaker. If this delay is not accounted for, the actual closing time of the circuit breaker may not coincide with the selected optimal parallel timing, affecting the paralleling effect. Therefore, it is necessary to measure the circuit breaker operation delay value and issue the close command at an appropriate time in advance to ensure that the actual closing time of the circuit breaker coincides with the selected parallel timing as closely as possible.

[0132] The measurement of circuit breaker operation delay can be achieved through various methods, such as periodic testing, historical data statistics or real-time monitoring. After obtaining the delay value, the time to send the circuit breaker closing command is calculated according to the formula:

[0133] ;

[0134] in, is the moment to send the circuit breaker closing command; It is the best time to select parallel operation; is the measured circuit breaker operation delay value.

[0135] In this way, the closing timing of the circuit breaker can be precisely controlled to ensure that the parallel operation is performed at the optimal moment, thereby improving the safety and stability of the parallel operation.

[0136] After the circuit breaker is closed and the parallel operation is completed, the speed and excitation controller output need to be adjusted to achieve power regulation. The specific operations of this process are as follows:

[0137] After the circuit breaker is actually closed, the speed controller's output adjustment sequence is first determined based on the active power target within the power distribution target. The speed controller primarily controls the active power output of the diesel generator set. During grid-connected operation, the speed controller adjusts the diesel engine's fuel injection rate to alter the torque on its output shaft, thereby controlling the generator's active power output. The speed controller's output adjustment sequence is a series of time-sequentially ordered control variables that guide the speed controller's output to a smooth transition from its initial value to the target value.

[0138] Simultaneously, the excitation controller's output adjustment sequence is determined based on the reactive power target within the power allocation target. The excitation controller primarily controls the generator's excitation current, thereby regulating its output voltage and reactive power. The excitation controller's output adjustment sequence is also a series of time-sequentially ordered control variables that guide the excitation controller's output to a smooth transition from its initial value to its target value.

[0139] The output adjustment sequences for the speed controller and excitation controller are calculated based on the adjustment paths generated by the nonlinear segmented control method. The adjustment sequences of the two controllers must be coordinated to achieve coordinated adjustment of active and reactive power and maintain operational stability.

[0140] Finally, according to the generated speed controller output adjustment sequence and excitation controller output adjustment sequence, speed control and excitation control are executed respectively to achieve coordinated adjustment of active power and reactive power. The entire adjustment process is completed automatically by the control system without human intervention.

[0141] Another innovative aspect of this invention is the coordination of speed control and excitation control. Traditional control methods often treat speed control and excitation control as two independent processes, lacking the necessary coordination. This invention uses a unified nonlinear segmented control method to generate the adjustment sequence for the two controllers, ensuring coordination of the two controls in terms of time and amplitude.

[0142] The output adjustment sequence of the speed controller can be expressed as:

[0143] ;

[0144] in, It's time The output value of the speed controller; is the initial output value; is the output change; It is an adjustment function that defines how the output changes from the initial value to the target value.

[0145] According to the nonlinear segmented control method, H ( t ) is a piecewise function, with different control strategies used in different stages. This segmented control method can make the power adjustment process smoother and reduce system impact.

[0146] Further, H ( t ) is a piecewise function, and its composition can be described as follows:

[0147] H ( t ) function divides the entire adjustment process into three stages, each of which adopts a different change strategy:

[0148] Initial stage (0≤ t < t 1): A smaller rate of change is used in this stage k 1. Start the controller output slowly to avoid sudden shock in the initial stage. This stage usually takes up about 20% of the total adjustment time. H ( t )= k 1. t , and rises slowly and linearly.

[0149] Intermediate stage ( t 1≤ t < t 2): A larger rate of change is used in this stage k 2. Speed ​​up the change of controller output and shorten the adjustment time. This stage usually takes up about 60% of the total adjustment time. H ( t )= k 1. t 1+ k 2.( t - t 1) It continues to rise on the basis of the initial stage, but with a larger slope.

[0150] Final stage ( t 2≤ t ≤ T ): This stage reduces the rate of change again to k 3. Make the controller output close to the target value steadily to avoid overshoot and oscillation at the end of adjustment. This stage usually takes up about 20% of the total adjustment time. H ( t )= k 1. t 1+ k 2.( t 2- t 1)+ k 3.( t - t 2) Complete a smooth transition from the initial value to the target value.

[0151] This piecewise nonlinear control method generates a smooth power adjustment path, ensuring rapid adjustment while avoiding drastic fluctuations and shocks. The entire adjustment process is completed automatically by the control system, without the need for human intervention.

[0152] In addition, traditional control methods often treat speed control and excitation control as two independent processes, lacking the necessary coordination. The present invention generates an adjustment sequence for the two controllers through a unified nonlinear segmented control method, ensuring the coordination of the two controls in time and amplitude. The present invention selects the optimal paralleling moment by constructing a paralleling window scoring function, sends a closing instruction in advance considering the circuit breaker operation delay, and realizes power adjustment through coordinated speed control and excitation control, forming a complete paralleling control scheme. This scheme not only improves the success rate and safety of paralleling, but also realizes smooth power distribution after paralleling, which is of great significance for improving the overall performance of the diesel generator set paralleling system.

[0153] In summary, the present invention overcomes the drawback of insufficient parameter correlation processing in traditional parallel control systems by establishing a double-layer coupling model of electrical and mechanical parameters, achieving accurate prediction of the parallel condition time interval and improving the parallel success rate. The parallel window scoring function not only considers the absolute deviation value of the parameters, but also makes a comprehensive evaluation based on the parameter change trend, thus achieving intelligent selection of the optimal parallel time. The introduction of a circuit breaker operation delay compensation mechanism solves the problem of inconsistency between the actual circuit breaker closing time and the optimal parallel time. Through multi-objective constrained optimization calculation, while taking into account multiple factors such as system stability, fuel economy, equipment wear, and load responsiveness, comprehensive optimization of power distribution is achieved. The application of a nonlinear segmented control method to generate an adjustment path makes the power adjustment process smooth and controllable, effectively avoiding the drastic power fluctuations in traditional control. The coordinated design of speed control and excitation control achieves coordinated adjustment of active power and reactive power, improving the stability and economy of the overall system operation.

[0154] Example 2, reference Figure 3 , as an embodiment of the present invention, provides an automatic parallel control system for diesel generator sets.

[0155] like Figure 3 The figure shows the overall structure of the system, which includes:

[0156] A parameter acquisition unit is used to collect electrical and mechanical parameters of the generator sets to be paralleled; wherein the electrical and mechanical parameters are used to establish a double-layer coupling model, which is used to calculate the time interval that meets the paralleling conditions;

[0157] A parallel decision unit is used to determine the target power distribution value and adjustment path after paralleling after detecting the time interval that meets the paralleling conditions;

[0158] The control execution unit is used to execute the control instructions generated according to the power distribution target value and the adjustment path, control the circuit breaker to close within the time interval that meets the parallel conditions, and adjust the speed and excitation controller output to achieve power adjustment.

[0159] Example 3, reference Figure 4 , which is an embodiment of the present invention, differs from the previous embodiment in that: if the functions described are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or the portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0160] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0161] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, and then editing, interpreting, or processing in another suitable manner as necessary, and then storing it in a computer memory.

[0162] It should be understood that various components of the present invention may be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods may be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof may be used: a discrete logic circuit having logic gate circuits for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0163] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for automatically controlling parallel operation of diesel generator sets, characterized in that: include: Collecting electrical parameters and mechanical parameters of the generator sets to be paralleled; wherein the electrical parameters and mechanical parameters are used to establish a double-layer coupling model, and the double-layer coupling model is used to calculate the time interval that meets the paralleling conditions; After detecting a time interval that satisfies the paralleling conditions, determining a target power distribution value and an adjustment path after the paralleling; wherein the target power distribution value is determined according to the load state of the power grid and the rated parameters of the diesel generator set; Executing control instructions generated according to the power distribution target value and the adjustment path, controlling the circuit breaker to close within a time interval that meets the paralleling conditions, and adjusting the speed and excitation controller output to achieve power adjustment; The time interval for calculating the parallel conditions includes: Input the collected electrical parameters and mechanical parameters of the generator set to be connected to the calibrated double-layer coupling model to calculate the parameter change values ​​in the future period; Setting a parallel condition threshold, and filtering out consecutive time periods that simultaneously meet the parallel condition threshold within the future period as a time interval that meets the parallel condition; After detecting that the time interval that meets the parallel condition is determined, determining the power distribution target value and adjustment path after the parallel operation includes: Obtaining the grid load state, load change value and rated parameters of each diesel generator set within the time interval that meets the parallel condition; Inputting the grid load state, the load change value and the rated parameters of the diesel generator set into a multi-objective constraint optimization calculation, calculating multiple optimization indicators and solving them to obtain a power distribution target value; According to the available parallel time within the time interval that meets the parallel conditions, combined with the current power state of the diesel generator set and the power distribution target value, a nonlinear segmented control method is applied to generate an adjustment path; The parallel-capable time is a time point at which a parallel condition threshold is met.

2. The automatic parallel control method for diesel generator sets according to claim 1, characterized in that: The establishment of the double-layer coupling model comprises: Acquire historical parallel record data, construct an electrical characteristic layer using historical electrical parameters in the historical parallel record data, and construct a mechanical characteristic layer using historical mechanical parameters in the historical parallel record data; Connecting the electrical property layer and the mechanical property layer via a data interaction interface to form an initial double-layer coupling model; The initial double-layer coupling model is calibrated using the collected electrical parameters and mechanical parameters of the generator set to be connected in parallel, thereby completing the construction of the double-layer coupling model adapted to the current connection condition.

3. The automatic parallel control method for diesel generator sets according to claim 2, characterized in that: The multi-objective constraint optimization calculation comprises the following steps: According to the load state of the power grid, a system stability index is obtained by calculating a quantitative value of the impact of power fluctuations on the system frequency; Obtaining a fuel economy index based on the rated parameters of the diesel generator set and the fuel consumption curve of each generator set under different loads; An equipment condition assessment model established based on the rated parameters and historical operating data of the diesel generator set is used to determine equipment wear indicators; Calculating a load response index based on the load change value and the dynamic characteristic parameters of the generator set; The system stability index, fuel economy index, equipment wear index, and load response index are substituted into the optimization function to solve and obtain the power distribution target value.

4. The automatic parallel control method for diesel generator sets according to claim 3, characterized in that: The controlling the circuit breaker to close within the time interval that meets the paralleling condition includes: Constructing a parallel window scoring function in the time interval that meets the parallel condition; Calculate the parallel score value at each moment within the time interval that meets the parallel condition using the parallel window scoring function, and select the moment with the highest score value as the parallel moment; The circuit breaker operation delay value is measured, and a closing instruction is sent to the circuit breaker in advance so that the actual closing time of the circuit breaker is consistent with the parallel connection time.

5. The automatic parallel control method for diesel generator sets according to claim 4, characterized in that: The adjusting of the speed and the output of the excitation controller to achieve power adjustment includes: After the circuit breaker is actually closed, determining an output adjustment sequence of a speed controller according to an active power target in the power distribution target value; determining an output adjustment sequence of an excitation controller according to a reactive power target in the power distribution target value; According to the output adjustment sequence of the speed controller and the output adjustment sequence of the excitation controller, speed control and excitation control are respectively performed to achieve coordinated adjustment of active power and reactive power.

6. A diesel generator set automatic parallel control system, based on the diesel generator set automatic parallel control method according to any one of claims 1 to 5, characterized in that: include, A parameter acquisition unit, configured to acquire electrical and mechanical parameters of the generator sets to be paralleled; wherein the electrical and mechanical parameters are used to establish a double-layer coupling model, which is used to calculate a time interval that satisfies the paralleling conditions; A parallel decision unit is used to determine the target power distribution value and adjustment path after paralleling after detecting the time interval that meets the paralleling conditions; The control execution unit is used to execute the control instructions generated according to the power distribution target value and the adjustment path, control the circuit breaker to close within the time interval that meets the parallel condition, and adjust the speed and excitation controller output to achieve power adjustment.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the automatic parallel control method for diesel generator sets according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the automatic parallel control method for diesel generator sets according to any one of claims 1 to 5 are implemented.

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