Diesel generating set automatic parallel operation control method and system

Abstract

The invention discloses a diesel generating set automatic parallel operation control method and system, and relates to the technical field of generating set control, and the method comprises the steps: collecting the electrical parameters and mechanical parameters of a generating set to be subjected to parallel operation; the electrical parameters and the mechanical parameters are used for establishing a double-layer coupling model, and the double-layer coupling model is used for calculating a time interval meeting parallel operation conditions; after the time interval meeting the parallel operation condition is detected, determining a power distribution target value and an adjustment path after parallel operation; and executing a control instruction generated according to the power distribution target value and the adjustment path, controlling the circuit breaker to be closed within a time interval meeting parallel operation conditions, and adjusting the rotating speed and the output of the excitation controller to realize power adjustment. According to the method, the parallel operation prediction accuracy and adaptability are improved, the parallel operation success rate is increased, parallel operation impact is reduced, power distribution is optimized, and the system stability and economy are improved.

Description

Technical Field

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

[0002] The parallel operation of diesel generator sets is an important means to improve power supply reliability and optimize resource allocation in modern power systems. The traditional method of paralleling diesel generator sets mainly relies on manual observation and manual control. With the improvement of the automation level of power systems, semi-automatic paralleling systems are gradually applied, and basic automatic paralleling operations are achieved by measuring parameters such as frequency, voltage and phase difference. Most of the existing paralleling control technologies use single parameter monitoring or simple parameter combination mode, mainly based on static threshold judgment. This type of technology usually separates electrical parameters (such as frequency, voltage, phase) from mechanical parameters (such as speed, torque, power), and lacks in-depth analysis of the coupling relationship between parameters. At present, domestic and foreign research mainly focuses on the judgment of paralleling conditions and the selection of circuit breaker closing time. The research on power distribution and adjustment process after paralleling is relatively insufficient, especially the lack of a systematic method for integrating pre-parallel judgment and post-parallel control.

[0003] However, the existing diesel generator set paralleling technology has many shortcomings. First, the parameter collection 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; secondly, the existing technology lacks accurate calculation for the selection of paralleling timing, usually only relying on static threshold judgment, and fails to fully consider the dynamic change characteristics of parameters, which can easily lead to improper selection of paralleling timing; thirdly, the power distribution scheme after paralleling is single, and fails 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, so that the actual closing time of the circuit breaker deviates from 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 diesel generator set automatic parallel control method and system, 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 parallel conditions; after detecting the time interval that meets the parallel conditions, determining the power distribution target value and adjustment path after the parallel connection; wherein the power distribution target value is determined according to the load state of the power grid and the rated parameters of the diesel generator sets; executing the 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 parallel 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 set 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 scheme 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 scheme 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 the parallel operation, including: obtaining the grid load state, load change value and rated parameters of each diesel generator set within the time interval that meets the parallel conditions; 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 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 influence of power fluctuations on the system frequency, a system stability index is obtained; according to the rated parameters of the diesel generator set and the fuel consumption curve of each generator set under different loads, a fuel economy index is obtained; based on the rated parameters of the diesel generator set 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, the 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 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, used to acquire 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 parallel conditions; a parallel decision unit, used to determine the power distribution target value and adjustment path after paralleling after detecting the time interval that meets the parallel conditions; a control execution unit, used to execute 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.

[0014] A computer device comprises 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 as described above are implemented.

[0015] 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 as described above 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 time interval of parallel conditions, and improves the success rate of parallel operation. The parallel window scoring function is adopted, which not only considers the absolute deviation value of the parameter, but also makes a comprehensive judgment in combination with the parameter change trend, so as to realize the intelligent selection of the optimal parallel time. The introduction of the circuit breaker operation delay compensation mechanism solves the problem that the actual closing time of the circuit breaker is inconsistent with the optimal parallel time. Through multi-objective constraint optimization calculation, while taking into account multiple factors such as system stability, fuel economy, equipment wear and load response capability, the comprehensive optimization of power distribution is realized. The nonlinear segmented control method is applied to generate the adjustment path, so that the power adjustment process is smooth and controllable, and the violent power fluctuations in traditional control are effectively avoided. The speed control and excitation control are designed in a coordinated manner to realize the coordinated adjustment of active power and reactive power, and improve 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 accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0018] Figure 1 This is a schematic diagram of the overall process of an automatic parallel control method for diesel generator sets proposed by the present invention; Figure 2 A flowchart for constructing a double-layer coupling model in an automatic parallel control method for a diesel generator set proposed by the present invention; Figure 3 This is a schematic diagram of the overall structure of an automatic parallel control system for a diesel generator set proposed by the present invention; Figure 4 This is a computer equipment diagram of an automatic parallel control method for diesel generator sets proposed by the present invention. DETAILED DESCRIPTION

[0019] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0020] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and 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.

[0021] 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.

[0022] In the related technologies, firstly, the parameter collection 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; secondly, the existing technology lacks precise calculation for the selection of paralleling timing, usually only relies on static threshold judgment, fails to fully consider the dynamic change characteristics of parameters, and easily leads to improper selection of paralleling timing; thirdly, the power distribution scheme after paralleling is single, and fails 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 easily causes 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, thereby reducing the paralleling quality.

[0023] The present application provides a method that can effectively solve the above-mentioned problems. Next, a plurality of embodiments will be combined to explain in detail how to implement the automatic parallel control method of the diesel generator set.

[0024] Figure 1 The overall flow chart of a diesel generator set automatic parallel control method is shown, which includes the following steps: S1: Collect the electrical and mechanical parameters of the generator set to be connected.

[0025] 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 parallel conditions.

[0026] In the embodiment of the present application, the specific operation of establishing the double-layer coupling model may be: Obtain historical parallel record data, use historical electrical parameters in the historical parallel record data to build an electrical characteristic layer, and use historical mechanical parameters in the historical parallel record data to build a mechanical characteristic layer; The electrical property layer and the mechanical property layer are connected through a data interaction interface to form an initial double-layer coupling model; The initial double-layer coupling model is calibrated using the collected electrical and mechanical parameters of the generator sets to be connected in parallel, thus completing the construction of a double-layer coupling model that adapts to the current connection conditions.

[0027] It should be noted that the electrical characteristic layer includes the mapping relationship for processing frequency, voltage and phase variables; the mechanical characteristic layer includes the mapping relationship for processing speed, torque and power variables.

[0028] In the embodiment of the present application, the specific operation of calculating the time interval that meets the parallel condition may be: The collected electrical parameters and mechanical parameters of the generator set to be connected are input into the calibrated double-layer coupling model to calculate the parameter change value in the future period; Set the parallel condition threshold, and filter out the continuous time periods that meet the parallel condition threshold in the future as the time intervals that meet the parallel condition.

[0029] It should be noted that the parameter change value includes the change value of the electrical parameter and the change value of the mechanical parameter; the parallel condition threshold includes the frequency difference threshold, the voltage difference threshold and the phase difference threshold.

[0030] In this embodiment, it is first necessary to collect the electrical parameters and mechanical parameters of the generator set to be connected in parallel. Specifically, the electrical parameters include but are not limited to the three core indicators of frequency, voltage and phase, and the mechanical parameters include but are not limited to the three core indicators of speed, torque and power. These parameters can be obtained in real time through various sensors installed on the generator set. For example, electrical parameters can be collected through PMU (phasor measurement unit), power analyzer, phase detector and other equipment; mechanical parameters can be collected through Hall speed sensor, magnetoresistive torque sensor, power meter and other equipment. The data collected by various sensors are transmitted to the control system for processing through standard industrial buses (such as MODBUS, PROFIBUS, etc.) or Ethernet.

[0031] The collected electrical parameters and mechanical parameters are used to establish a double-layer coupling model, which, as the core technical innovation of the present invention, can accurately calculate the time interval that meets the parallel conditions. The double-layer coupling model is different from the traditional single-layer parameter processing model. By establishing an interactive mapping between the electrical layer and the mechanical layer, it can more accurately reflect the complex dynamic characteristics of the generator set during the parallel process.

[0032] In the embodiments of the present application, Figure 2As shown, the specific operation of establishing a double-layer coupling model includes the following steps: First, obtain historical parallel record data. Historical parallel record data can be extracted from the database of the power plant, or accumulated over a long period of time through a dedicated data recording system. These data include historical electrical parameters (historical frequency values, historical voltage values, and historical phase values), historical mechanical parameters (historical speed values, historical torque values, and historical power values), and corresponding parallel results (parallel success or failure, parallel impact size, system stability after paralleling, etc.). The time span of historical data is generally not less than 6 months to cover the parallel situations under various working conditions and environmental conditions.

[0033] Then, the electrical characteristic layer is constructed using the historical electrical parameters in the historical parallel record data. The specific implementation method is: using the long short-term memory network (LSTM) algorithm with time series processing capabilities to establish a frequency change prediction model; using the support vector regression (SVR) algorithm to establish a voltage response model; using the prediction algorithm based on the Kalman filter to establish a phase change model. The electrical characteristic layer contains the mapping relationship between the processing frequency, voltage, and phase variables, which can describe the mutual influence between these electrical parameters and their evolution over time. For example, there is a derivative relationship between frequency and phase, and voltage changes will affect the rate of change of the phase angle, etc. Through these algorithms and models, the electrical characteristic layer can learn and extract the change patterns and laws of electrical parameters based on historical data.

[0034] At the same time, the mechanical characteristic layer is constructed using the historical mechanical parameters in the historical parallel record data. The specific implementation method is: using recursive neural network (RNN) to establish the speed response model; using multi-layer perceptron (MLP) algorithm to establish the torque change model; using autoregressive integrated moving average (ARIMA) model to establish the power change model. The mechanical characteristic layer contains the mapping relationship between the speed, torque and power variables, and can describe the mutual influence and change law between these mechanical parameters. For example, there is an inertial relationship between speed change and torque, and power is the product function of speed and torque. Through these specific algorithms and models, the mechanical characteristic layer can learn and extract the change characteristics and laws of mechanical parameters from historical data.

[0035] Next, the electrical characteristic layer and the mechanical characteristic layer are connected through a data interaction interface to form an initial two-layer coupling model. The data interaction interface uses the attention mechanism to achieve selective information transmission and weighted fusion between the two layers. Specifically, it includes: the frequency-speed mapping interface, which uses a linear mapping matrix to establish the correspondence between frequency and speed; the voltage-torque mapping interface, which uses a nonlinear activation function (such as ReLU) to establish the correspondence between voltage and torque; the phase-power mapping interface, which uses a bidirectional gated recurrent unit (Bi-GRU) to establish the timing association between phase and power. Through these specific interface designs, the information transmission and mutual influence between the two types of parameters are realized, and a complete two-layer coupling relationship is established.

[0036] Finally, the initial double-layer coupling model is calibrated using the collected electrical and mechanical parameters of the generator set to be connected, completing the construction of a double-layer coupling model that adapts to the current connection conditions. The calibration process uses a combination of online learning and transfer learning. The specific steps include: inputting the electrical and mechanical parameters collected in real time into the initial model; using the least square method to calculate the error between the model output and the actual observation value; adjusting the model internal parameter weights based on the back propagation algorithm; and iteratively updating the model parameters through the Adam optimizer until the error converges to below the preset threshold. Through this calibration process, the model can adapt to the actual operating status and characteristics of the current generator set, providing a basis for the accurate calculation of the time interval of the connection condition.

[0037] After completing the establishment and calibration of the double-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: First, the collected electrical and mechanical parameters of the generator set to be connected are input into the calibrated double-layer coupling model, and the forward propagation algorithm is used to calculate the parameter change values ​​in the future period (usually the next 30 seconds to 2 minutes). The parameter change values ​​include the change values ​​of electrical parameters (frequency change value, voltage change value and phase change value) and mechanical parameters (speed change value, torque change value and power change value). These change values ​​are output in the form of time series, describing the possible change trajectory of the operating state of the generator set in the future period.

[0038] Then, according to the grid operation specifications and the technical requirements of the power generation equipment, set the thresholds for the parallel condition. The thresholds for the parallel condition include the frequency difference threshold, the voltage difference threshold and the phase difference threshold. For medium-sized diesel generator sets (500kW-2000kW), the frequency difference threshold is usually set to ±0.1Hz, the voltage difference threshold is set to ±5% of the rated voltage, and the phase difference threshold is set to ±10°. For large units (>2000kW), stricter threshold settings may be required; for small units (<500kW), the threshold requirements can be appropriately relaxed. These threshold settings take into account both equipment safety and the feasibility of parallel operation.

[0039] Finally, within the calculated future time period, the sliding window algorithm and dynamic programming method are used to screen out continuous time periods that simultaneously meet the parallel condition thresholds as the time intervals that meet the parallel condition. The specific screening process is: using Boolean logic to determine whether the frequency difference, voltage difference, and phase difference at each time point are less than the corresponding thresholds; using AND logic operations to find the time points that simultaneously meet the three conditions; using connected component analysis to determine the continuous time periods that meet the conditions. Through this process, the present invention can accurately find the time window in which the generator set can be safely paralleled, laying the foundation for subsequent parallel decision-making and control.

[0040] It should be noted that the electrical characteristic layer in the two-layer coupling model is a functional module that specializes in processing the mapping relationship of electrical parameters. The mapping relationship refers to the functional relationship between the three electrical parameters of frequency, voltage and phase and the law of their change over time. For example, there is an integral relationship between the frequency change rate and the phase change, the voltage change is related to the load characteristics, and the phase difference affects the power transfer. The electrical characteristic layer extracts and characterizes these mapping relationships through the aforementioned LSTM, SVR and Kalman filtering algorithms to achieve accurate prediction of the future change trend of electrical parameters.

[0041] The mechanical characteristic layer is another key component of the double-layer coupling model, which specifically deals with the mapping relationship between the three mechanical parameters of speed, torque and power. These mechanical parameters directly reflect the physical operating status of the generator set, and there is a clear physical relationship between them, such as power equals the product of speed and torque multiplied by a coefficient. The mechanical characteristic layer uses algorithms such as RNN, MLP and ARIMA to establish a mapping relationship model between mechanical parameters, which can accurately predict the changing trend of mechanical parameters in the future period.

[0042] The data interaction interface is a bridge connecting the electrical characteristic layer and the mechanical characteristic layer. Its core function is to realize the information exchange and mutual influence between the two types of parameters. In actual generator sets, electrical parameters 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 affects power transfer. The data interaction interface implemented by algorithms such as the attention mechanism enables the model to accurately capture and characterize these complex relationships across parameter types.

[0043] The parameter change value is the key output of the double-layer coupling model calculation, which represents the change in electrical and mechanical parameters relative to the current value in the future period. Accurately predicting these change values ​​is crucial to determine the timing of parallel operation, because the parallel operation conditions depend not only on the instantaneous value 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 in a short period of time, then it is still unsafe to parallel the machine at this time.

[0044] The parallel condition threshold is a specific standard for judging whether the generator sets can be safely paralleled, including the frequency difference threshold, voltage difference threshold and phase difference threshold. The setting of these thresholds needs to comprehensively consider the technical parameters of the generator sets, grid requirements and safety margins. For example, for diesel generator sets with variable frequency start, the frequency difference threshold may be more relaxed; while for generator sets with direct start, stricter threshold control is required. The rationality of the threshold setting directly affects the safety and success rate of paralleling.

[0045] Preferably, the present invention collects the electrical parameters and mechanical parameters of the generator set to be connected, establishes a double-layer coupling model, and uses the model to calculate the time interval that meets the connection conditions, thereby realizing accurate control and prediction of the connection process. Compared with the traditional single parameter monitoring or simple parameter combination method, the present invention has the following advantages: first, the accuracy of connection prediction is improved, and the double-layer coupling model can fully consider the mutual influence of electrical parameters and mechanical parameters, making the calculation of the connection condition time interval more accurate and reliable; second, the adaptability of the present invention is enhanced, and through the model calibration mechanism, it can quickly adapt to the characteristics of different generator sets and the changing connection environment; third, the success rate of connection operation is improved, and accurate time interval prediction provides a reliable basis for connection decision-making, reducing failed connection attempts; in addition, the connection impact is reduced, and the connection operation is performed at the best time, which significantly reduces electrical and mechanical impacts and protects equipment safety; finally, the intelligence level of the system is improved, and the introduction of the double-layer coupling model enables the connection control system to have intelligent prediction and decision-making capabilities, reduces manual intervention, and improves the automation level of the system.

[0046] S2: After detecting the time interval that meets the parallel condition, determine the power distribution target value and adjustment path after the parallel operation.

[0047] Among them, the power distribution target value is determined according to the grid load status and the rated parameters of the diesel generator set.

[0048] In the embodiment of the present application, the specific operation may be: After detecting the time interval that meets the parallel conditions, determine the power distribution target value and adjustment path after parallel connection, including: Obtain the grid load status, load change value and rated parameters of each diesel generator set within the time interval that meets the parallel connection conditions; The load state of the power grid, the load change value and the 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 allocation 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 allocation target value, the nonlinear segmented control method is applied to generate the adjustment path; The parallel-enabled time is the time point at which the parallel condition threshold is met.

[0049] Specifically, the multi-objective constraint optimization calculation includes the following steps: 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; 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; The 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; Calculate the load response index according to 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 obtain the power allocation target value.

[0050] Furthermore, after detecting the time interval that meets the paralleling condition, the present invention needs to determine the power distribution target value and adjustment path after the paralleling. This step solves the technical problems of unreasonable power distribution and large impact of the adjustment process in the paralleling control of traditional diesel generator sets.

[0051] In the embodiment of the present application, it is first detected whether a time interval that meets the parallel conditions has been found. When the system detects a time interval that meets the parallel conditions, it means that the parallel operation is performed within the time interval, and the basic parallel conditions can be met (that is, the frequency difference, voltage difference and phase difference are all within the preset threshold range). However, in order 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 parallel in advance.

[0052] The specific operations for determining the power distribution target value and adjustment path after parallel connection include the following steps: First, the grid load status, load change value and rated parameters of each diesel generator set within the time interval that meets the parallel conditions are obtained. The grid load status refers to the total load power and its distribution of the current grid, which can be obtained through the grid monitoring system; the load change value refers to the rate of change and predicted trend of the grid load, which can be obtained through the time series analysis of historical load data; the rated parameters of the diesel generator set include basic parameters such as rated power, rated voltage, rated frequency, as well as operating parameters such as fuel consumption characteristics and dynamic response characteristics.

[0053] The grid load status is usually obtained through the SCADA system of the power monitoring system, with a sampling frequency of 1-10 times per second. The load change value is calculated by applying the time series analysis method to the 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 the historical operating data or obtained through special tests.

[0054] Next, the obtained grid load status, load change value and rated parameters of the diesel generator set are input into the multi-objective constrained optimization calculation. This calculation process needs to consider multiple objectives such as system stability, fuel economy, equipment wear and load response capability. The system calculates multiple optimization indicators and substitutes these indicators into the optimization function to solve the power distribution target value.

[0055] The multi-objective constraint optimization calculation includes the following specific steps: 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 load state of the power grid. This indicator reflects the stability level of the system under the power allocation scheme. The calculation formula is: ; in, Indicates the allocated power of the gen-th generator set; Indicates the average distributed power of all units; represents the total power demand; N represents the total number of generator sets; It represents the stability coefficient of the gen unit and is related to the dynamic response characteristics of the unit.

[0056] This formula evaluates system stability based on the balance of power distribution. The more balanced the power distribution of each unit is (that is, the smaller the deviation between the power distribution of each unit and the average power is), the higher the system stability index is. 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.

[0057] 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: ; in, Indicates the allocated power of the gen-th generator set; represents the total power demand; Indicates the power of the gen unit The fuel consumption rate under certain conditions is usually obtained by regression analysis of historical operating data.

[0058] Fuel economy indicators The calculation formula simulates the fuel consumption characteristics of diesel generator sets. The numerator represents the total output power and the denominator represents the total fuel consumption. Therefore, the larger the index is, the more power is generated per unit fuel consumption, and the better the fuel economy is. In actual applications, due to the different fuel efficiency curves of different units, the optimization algorithm will tend to operate the units with high efficiency in the high efficiency range, thereby optimizing the overall fuel economy.

[0059] The third step is to establish an equipment condition assessment model based on the rated parameters and historical operating data of the diesel generator set to determine the equipment wear index. D wear This indicator reflects the impact of the power allocation scheme on the equipment life. The calculation formula is: ; in, P gen Indicates the allocated power of the gen-th generator set; P rated,gen Indicates the rated power of the gen unit; P current,gen Indicates the current power of the gen unit; W gen is the weight coefficient of the gen 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 respectively.

[0060] Equipment wear indicators D wearThe calculation formula takes into account the impact of two main factors on equipment wear: one is the power load level. The higher the load, the more serious the equipment wear; the other is the power change amplitude. The more drastic the power change, the greater the impact on the equipment and the more serious the wear. The closer this index is to 1, the less equipment wear there is.

[0061] 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: ; in, P gen Indicates the allocated power of the gen-th generator set; P_ total represents 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 The load response effect under .

[0062] Load response indicators R load Three key factors are considered: the proportion of each unit in the total power, the response speed of each unit, and the response matching degree of each unit's current working point. The smaller the response time constant, the faster the response speed; the more suitable the working point is for the load response, the better the response effect. The larger the index is, the stronger the overall load response capability of the system is.

[0063] Finally, the above four indicators are substituted into the comprehensive optimization function to obtain the power allocation target value. The comprehensive optimization function is: ; ; in, W stab , W fuel , W wear and W resp are the weight coefficients of the four optimization objectives, which can be adjusted according to actual application requirements; P min,gen and Pmax,gen are the minimum and maximum allowable operating powers of the gen unit respectively.

[0064] This comprehensive optimization function combines the four optimization indicators through weight coefficients to form a multi-objective optimization problem. By solving the optimization function, the optimal power allocation scheme that satisfies various constraints can be found. The solution method can be particle swarm optimization algorithm, genetic algorithm or Lagrange multiplier method.

[0065] After obtaining the power distribution target value, it is necessary to generate an adjustment path by applying the nonlinear segmented control method based on 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. The available parallel time is the time point that meets the parallel condition threshold, that is, the time when the frequency difference, voltage difference and phase difference are all less than their respective thresholds.

[0066] The nonlinear segmented control method divides the power adjustment process into multiple stages, and adopts different control strategies in different stages to achieve a smooth transition. The specific implementation method is as follows: First, the power adjustment process is divided into the initial stage, the intermediate stage, and the final stage. Different control gains and adjustment rates are used for different stages to meet the control requirements of different stages. In the initial stage, a smaller control gain is used to start the power change slowly to avoid sudden shocks; in the intermediate stage, a larger control gain is used to speed up the power adjustment speed; in the final stage, the control gain is reduced again to achieve fine adjustment of the power and smoothly reach the target value.

[0067] The mathematical expression of the adjustment path can be described as: ; in, P ( t ) indicates time t The power value at P start Indicates the starting power; P target represents the target power; G ( t ) is a piecewise function defined as: ; here, T 1 and T 2 It is the time dividing point of each stage; K 1 , K 2 and K 3 are the control gains of each stage respectively; Ttotal is the total adjustment time.

[0068] This piecewise nonlinear control method generates a smooth power adjustment path, which not only ensures the speed of adjustment, but also avoids violent fluctuations and shocks during the process. The entire adjustment process is completed by the power control actuator to ensure that the actual power adjustment process is executed according to the preset adjustment path.

[0069] The present invention determines the power distribution target value through multi-objective constraint optimization calculation in the S2 stage, and generates an adjustment path through a nonlinear segmented control method, thereby realizing efficient and stable power distribution after the diesel generator sets are connected in parallel. The method takes into account multiple aspects such as system stability, fuel economy, equipment wear and load response capability, 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 paralleling and power adjustment process; the entire power distribution and adjustment process takes into account the system state and paralleling conditions, so that the paralleling control and power distribution form an organic whole, improving the coordination and stability of the system.

[0070] 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.

[0071] 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: Construct a parallel window scoring function in the time interval that meets the parallel conditions; The paralleling score value at each moment in the time interval that meets the paralleling conditions is calculated by using the paralleling window score function, and the moment with the highest score value is selected as the paralleling moment; Measure the circuit breaker operation delay value and send a closing command to the circuit breaker in advance to make the actual closing time of the circuit breaker consistent with the parallel connection time.

[0072] It should be noted that the parallel window scoring function calculates the phase difference and the first-order derivative of the phase difference, the frequency difference and the first-order derivative of the frequency difference, the voltage difference and the first-order derivative of the voltage difference respectively to obtain the scoring result.

[0073] 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: 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; Determine the output adjustment sequence of the excitation controller according to the 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, the speed control and the excitation control are respectively performed to achieve coordinated adjustment of the active power and the reactive power.

[0074] Furthermore, after determining the power distribution target value and the adjustment path, the present invention needs to execute the corresponding control instructions, control the circuit breaker to close within the time interval that meets the paralleling conditions, and adjust the speed and the excitation controller output to achieve power adjustment. This step is one of the core technical links 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.

[0075] In the embodiment of the present application, the process of executing the control instruction is divided into two main stages: one is the circuit breaker closing control to realize the physical parallel connection; the other is the power adjustment control to realize the power distribution after the parallel connection. These two stages need to work closely together to form a complete control chain, so as to realize a smooth and reliable parallel connection process.

[0076] First, the specific operations of controlling the circuit breaker to close within the time interval that meets the paralleling conditions are as follows: After detecting the time interval that meets the parallel conditions, it is necessary to select the best parallel moment from this time interval. To this end, it is necessary to construct a parallel window scoring function. This scoring function not only considers the deviation between each parameter and the target value, but also considers the parameter change trend, so as to more comprehensively evaluate the suitability of parallel at each moment.

[0077] The construction of the parallel window scoring function is an innovative point of the present invention. Specifically, the function combines and calculates the phase difference and the first-order derivative of the phase difference, the frequency difference and the first-order derivative of the frequency difference, the voltage difference and the first-order derivative of the voltage difference, and obtains a comprehensive scoring result. The phase difference, frequency difference and voltage difference directly reflect the degree of parameter matching at the moment of parallel connection, while the first-order derivatives of these parameters reflect the changing trend of the parameters, which is crucial for predicting future changes in the parameters.

[0078] The mathematical expression of the parallel window scoring function is: ; in, It's time The parallel rating value of , 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.

[0079] For the scoring subfunction of the phase parameter, its form is: ; 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 zero division 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 trend of phase difference is conducive to reducing the phase difference (i.e. and The score will also improve when the sign of Item realized.

[0080] 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.

[0081] 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. This scoring-based selection method can find the optimal parallel time among multiple moments that meet the basic parallel conditions, thereby improving the parallel success rate and reducing the parallel impact.

[0082] However, in actual applications, there is a delay in the operation of the circuit breaker, that is, there is a certain time delay between the issuance of the closing command and the actual closing of the circuit breaker. If this delay is not taken into account, the actual closing time of the circuit breaker will be inconsistent with the selected optimal paralleling time, affecting the paralleling effect. For this reason, it is necessary to measure the circuit breaker operation delay value and send the closing command in advance at an appropriate time, so that the actual closing time of the circuit breaker is as consistent as possible with the selected paralleling time.

[0083] 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: ; 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.

[0084] In this way, the closing timing of the circuit breaker can be accurately controlled to ensure that the parallel operation is performed at the optimal time, thereby improving the safety and stability of the parallel operation.

[0085] 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 adjustment. The specific operations of this process are as follows: After the circuit breaker is actually closed, the output adjustment sequence of the speed controller is first determined according to the active power target in the power distribution target value. The speed controller mainly controls the active power output of the diesel generator set. In the grid-connected operation state, the torque of the output shaft is changed by adjusting the injection amount of the diesel engine, thereby controlling the active power output of the generator. The output adjustment sequence of the speed controller is a series of control quantities arranged in time sequence, which is used to guide the output of the speed controller to smoothly transition from the initial value to the target value.

[0086] At the same time, the output adjustment sequence of the excitation controller is determined according to the reactive power target in the power distribution target value. The excitation controller mainly controls the excitation current of the generator, thereby adjusting its output voltage and reactive power. The output adjustment sequence of the excitation controller is also a series of control quantities arranged in time sequence, which is used to guide the output of the excitation controller to smoothly transition from the initial value to the target value.

[0087] The output adjustment sequence of the speed controller and the excitation controller is calculated based on the adjustment path generated by the nonlinear segmented control method. The adjustment sequences of the two controllers need to be coordinated to achieve coordinated adjustment of active power and reactive power and maintain operational stability.

[0088] Finally, according to the generated speed controller output adjustment sequence and excitation controller output adjustment sequence, speed control and excitation control are respectively executed to achieve coordinated adjustment of active power and reactive power. The entire adjustment process is automatically completed by the control system without manual intervention.

[0089] The coordination of speed control and excitation control is another innovation of the present invention. Traditional control methods often treat speed control and excitation control as two independent processes, lacking the necessary coordination. The present invention generates the adjustment sequence of the two controllers through a unified nonlinear segmented control method, ensuring the coordination of the two controls in time and amplitude.

[0090] The output adjustment sequence of the speed controller can be expressed as: ; in, It's time The speed controller output value; is the initial output value; is the output change; It is the adjustment function, which defines how the output changes from the initial value to the target value.

[0091] According to the nonlinear segmented control method, H ( t ) is a piecewise function, and different control strategies are used in different stages. This piecewise control method can make the power adjustment process smoother and reduce system impact.

[0092] Furthermore, H ( t ) is a piecewise function, and its composition can be described as follows: H ( t ) function divides the entire adjustment process into three stages, each of which adopts a different change strategy: Initial stage (0≤ t < t 1 ): A smaller rate of change is used in this stage k 1 , so that the controller output starts slowly to avoid sudden shocks in the initial stage. This stage usually accounts for about 20% of the total adjustment time. H ( t )= k 1 · t , rising slowly and linearly.

[0093] Intermediate stage ( t 1 ≤ t < t 2 ): In this stage, a larger rate of change is used k 2 , speed up the change of controller output and shorten the adjustment time. This stage usually accounts for about 60% of the total adjustment time. H ( t )= k 1 · t 1 + k 2 ·( t - t 1 ), continued to rise on the basis of the initial stage, but with a larger slope.

[0094] Final stage ( t 2 ≤ t ≤ T): This stage reduces the rate of change again to k 3 , so that the controller output is stable and close to the target value, avoiding overshoot and oscillation at the end of adjustment. This stage usually accounts for about 20% of the total adjustment time. H ( t )= k 1 · t 1 + k 2 ·( t 2 - t 1 )+ k 3 ·( t - t 2 ), completing a smooth transition from the initial value to the target value.

[0095] This piecewise nonlinear control method can generate a smooth power adjustment path, which not only ensures the speed of adjustment, but also avoids violent fluctuations and shocks during the process. The entire adjustment process is completed automatically by the control system without manual intervention.

[0096] In addition, traditional control methods often treat speed control and excitation control as two independent processes, lacking the necessary coordination. The present invention generates the adjustment sequence of 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 parallel time by constructing a parallel window scoring function, sends a closing command in advance considering the circuit breaker operation delay, and realizes power adjustment through coordinated speed control and excitation control, forming a complete parallel control scheme. This scheme not only improves the success rate and safety of parallel operation, but also realizes smooth power distribution after parallel operation, which is of great significance to improving the overall performance of the parallel system of diesel generator sets.

[0097] In summary, 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 time interval of parallel conditions, and improves the success rate of parallel operation. The parallel window scoring function is adopted, which not only considers the absolute deviation value of the parameter, but also makes a comprehensive judgment in combination with the parameter change trend, so as to realize the intelligent selection of the optimal parallel time. The introduction of the circuit breaker operation delay compensation mechanism solves the problem that the actual closing time of the circuit breaker is inconsistent with the optimal parallel time. Through multi-objective constraint optimization calculation, while taking into account multiple factors such as system stability, fuel economy, equipment wear and load response capability, the comprehensive optimization of power distribution is realized. The nonlinear segmented control method is applied to generate the adjustment path, so that the power adjustment process is smooth and controllable, and the violent power fluctuation in traditional control is effectively avoided. The speed control and excitation control are designed in a coordinated manner to realize the coordinated adjustment of active power and reactive power, and improve the stability and economy of the overall operation of the system.

[0098] Example 2, reference Figure 3 , as an embodiment of the present invention, provides an automatic parallel control system for diesel generator sets.

[0099] like Figure 3 As shown in FIG. 1 , it is a schematic diagram of the overall structure of the system, including: A parameter acquisition unit is used to acquire electrical parameters and mechanical parameters of the generator set 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 parallel decision unit, used to determine the power distribution target value and adjustment path after paralleling after detecting a 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.

[0100] Example 3, reference Figure 4, is an embodiment of the present invention, which is different from the previous embodiment in that: if the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0101] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0102] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), 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 disk read-only memory (CDROM). In addition, the computer-readable medium may even be a 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, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0103] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0104] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. 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 diesel generator set automatic parallel control method, characterized in that: include: Collecting electrical parameters and mechanical parameters of the generator set 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 the paralleling; wherein the power distribution target value is determined according to the load state of the power grid and the rated parameters of the diesel generator set; 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.

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, use historical electrical parameters in the historical parallel record data to construct an electrical characteristic layer, and use historical mechanical parameters in the historical parallel record data to construct a mechanical characteristic layer; Connecting the electrical property layer and the mechanical property layer through 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 that is adapted to the current connection condition.

3. The automatic parallel control method for diesel generator sets according to claim 2, characterized in that: The time interval for calculating the conditions for parallel connection 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 value in the future period; A parallel condition threshold is set, and within the future time period, continuous time periods that simultaneously meet the parallel condition threshold are screened out as time intervals that meet the parallel condition.

4. The automatic parallel control method for diesel generator sets according to claim 3, characterized in that: After detecting the time interval that satisfies the parallel condition, determining the power allocation 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; Input the power grid load state, the load change value and the rated parameters of the diesel generator set into a multi-objective constraint optimization calculation, calculate multiple optimization indicators and solve them to obtain a power allocation 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 allocation target value, a nonlinear segmented control method is applied to generate an adjustment path; The parallel-enabled time is a time point at which a parallel condition threshold is met.

5. The automatic parallel control method for diesel generator sets according to claim 4, characterized in that: The multi-objective constraint optimization calculation comprises the following steps: According to the power grid load state, a system stability index is obtained by calculating a quantitative value of the impact of power fluctuation on system frequency; Obtaining a fuel economy index according to the rated parameters of the diesel generator set and the fuel consumption curves 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 according to 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 for the power distribution target value.

6. The automatic parallel control method for diesel generator sets according to claim 5, characterized in that: The controlling the circuit breaker to close within the time interval that meets the parallel 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 in the time interval that meets the parallel condition by using the parallel window score function, and select the moment with the highest score value as the parallel time; 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.

7. The automatic parallel control method for diesel generator sets according to claim 6, characterized in that: The adjusting speed and the output of the excitation controller to achieve power adjustment comprises: 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, the speed control and the excitation control are respectively performed to achieve coordinated adjustment of active power and reactive power.

8. An automatic parallel control system for diesel generator sets, based on the automatic parallel control method for diesel generator sets according to any one of claims 1 to 7, characterized in that: include, A parameter acquisition unit, used to acquire electrical parameters and mechanical parameters of the generator set 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 parallel decision unit, used to determine the power distribution target value and adjustment path after paralleling after detecting a 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.

9. 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 7 are implemented.

10. 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 7 are implemented.

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