A power grid connection technology and device for a power generation gas turbine

Abstract

The application belongs to the technical field of power generation, and discloses a kind of power generation gas turbine grid-connected power deployment technology and device, comprising: power detection module, data processing module, power regulation module. The output power of gas turbine is detected in real time by power detection module, and the real-time of power deployment is ensured. Power detection effect: single current detection, simple, linear, efficient. Accuracy: through data processing module and preset algorithm, power control instruction can be accurately calculated, and accurate deployment of gas turbine grid-connected power is realized. Power deployment effect: power error can be adjusted in any ratio; stability: the output power of gas turbine is regulated by power regulation module, which can effectively improve the stability of power grid. Power deployment effect: there is no problem of power oscillation between the two gas turbines.

Description

Technical Field

[0001] The present invention belongs to the technical field of power generation, and in particular relates to a power generation gas turbine grid-connected power allocation technology and device. Background Art

[0002] With the optimization of energy structures and the rapid development of clean energy, gas turbines have been widely used as a highly efficient and clean power generation method. However, when gas turbines are connected to the grid for power generation, how to accurately allocate power among multiple prime movers of different power levels and structures to ensure grid stability and economic efficiency has always been a pressing issue in the industry.

[0003] Technical problems of existing technologies:

[0004] 1) Power detection is not accurate enough:

[0005] In traditional grid-connected power allocation systems for power generation gas turbines, power detection modules typically perform only simple current and voltage detection, lacking precise detection and correction of each gas turbine's output power. This results in insufficient accuracy in overall power allocation. Furthermore, existing systems cannot effectively distinguish between the different characteristics of single-shaft and multi-shaft gas turbines, compromising the rationality and accuracy of power allocation.

[0006] 2) Data processing and control algorithms are not optimized:

[0007] Existing technologies often use simplistic and basic algorithms to process power measurement data, failing to fully account for the diverse operating conditions and environmental variations of power generation gas turbines. Data processing modules lack comprehensive consideration of various loss coefficients, resulting in errors in the generated power control commands in practice, making precise control difficult.

[0008] 3) Power control response lag:

[0009] After receiving and processing data, traditional systems generate control commands with a lag in response, making them unable to adapt promptly to the rapidly changing demands of gas turbines. This is especially true for gas turbines with varying shafting configurations. This inability to flexibly adjust the control system results in suboptimal power distribution and control, reducing system efficiency and stability.

[0010] 4) Poor coordination between fuel and excitation systems:

[0011] Existing technologies often lack coordination in the regulation of fuel and excitation systems, preventing them from being adjusted synchronously based on actual power demand. This not only impacts the overall efficiency of the power generation gas turbines but also causes some units to overload or operate at no load, increasing system energy consumption and maintenance costs. Summary of the Invention

[0012] In view of the problems in the prior art, the application provides a power deployment technology and device for a power generation gas turbine connected to a power grid.

[0013] The application is implemented as follows: a power deployment technology and device for a power generation gas turbine connected to a power grid comprises:

[0014] A power detection module is connected to the data processing module and is used for detecting the real-time output power of two or more gas turbines in grid-connected operation in real time.

[0015] The data processing module is connected to the power regulation module, is used for receiving the detection data of the power detection module, the engine set and the power grid, and processing according to a preset algorithm to generate a power regulation instruction.

[0016] The power regulation module is connected to the data processing module, is used for receiving the fuel regulation instruction and the excitation regulation instruction generated by the data processing module, and regulating the output power of the gas turbine.

[0017] Further, the power detection module comprises:

[0018] The power detection module is used for detecting the real-time output power of two or more gas turbines in grid-connected operation in real time.

[0019] Ne1=U1I1(1)

[0020] Ne2=U2I2(2)

[0021] In the formula (1) and the formula (2), Ne is the power provided by the power generation gas turbine set to the bus; U is the bus DC voltage, I is the DC current of each power generation set transmitted to the bus, and the subscripts 1 and 2 represent two power generation gas turbines; wherein 1 is a single-shaft gas turbine, and 2 is a split-shaft or multi-shaft gas turbine.

[0022] Further, the data processing module comprises:

[0023] The data processing module is used for receiving the detection data of the power detection module, the engine set and the power grid, and processing according to a preset algorithm to generate a power regulation instruction.

[0024] The actual output power of each gas turbine Ne a needs to be corrected, and the precise regulation model used is:

[0025]

[0026] In the formula (3) and the formula (4), is the loss coefficient of the generator, and ψ is the loss coefficient of the excitation device, is the loss coefficient of the rectifier; subscripts 1 and 2 represent two power generation gas turbines; 1 is a single-shaft gas turbine, and 2 is a split-shaft or multi-shaft gas turbine.

[0027] In view of the DC voltage U1≈U2=U, in this device, only the current value of each power generation gas turbine unit input to the bus can be checked, and the current measurement value must have a high acquisition frequency; judgment conditions:

[0028]

[0029] In formula (5), p is the ratio of the rated power of the grid-connected gas turbines or the set distribution ratio, which can be set according to the working requirements or determined according to the power ratio of the two gas turbine generator sets. δ is the error, which is generally not greater than 3%;

[0030] When equation (5) is not satisfied, the power distribution is precisely controlled by adjusting the excitation current. At the same time, the gas turbine fuel system adjusts the fuel flow through the inner loop PID to match the AC frequency before the generator set is input to the rectifier cabinet, as shown in equation (6).

[0031]

[0032] In formula (6), n is the actual speed of the output shaft of the power generation gas turbine, n0 is the design rated speed of the output shaft of the power generation gas turbine, and ε is the error, which is generally not greater than 0.5%;

[0033] For a single-shaft gas turbine, the speed is constant and the power N e a,1 And gas turbine turbine inlet temperature T3, fuel flow rate G f,1 There is an external characteristic relationship:

[0034] Ne a,1 =f1(T3,G f,1 ) (7)

[0035] For split-shaft or multi-shaft gas turbines, the power turbine speed remains constant, but the gas generator speed varies, and the power Ne a,2 and compressor air flow G c , fuel flow G f,2 There is an external characteristic relationship:

[0036] Ne a,2 =f2(G c ,G f,2 ) (8).

[0037] Furthermore, the power control module:

[0038] The power control module is used to receive the fuel control instructions and excitation control instructions generated by the data processing module to control the output power of the gas turbine;

[0039] The inverse transformation of equations (7) and (8) yields:

[0040]

[0041] Assume that the fuel flow rate of the single-shaft gas turbine at rated power is G f,01 The fuel flow rate at rated power of split-shaft or multi-shaft gas turbine is G f,02 ;

[0042] The power balancing factor α and the time balancing factor β of the coupled response rate are used to form a comprehensive control instruction;

[0043] For a single-shaft gas turbine, the excitation control instruction c1 is:

[0044]

[0045] For split-shaft or multi-shaft gas turbines, the excitation system control instruction c2 is:

[0046]

[0047] For a single-shaft gas turbine, since about one-third of its turbine power control amount is power generation, its power balancing factor α can be a value between 2.5 and 3.5; for a split-shaft or multi-shaft gas turbine, since all of its power turbine power control amount is power generation, its power balancing factor α can be a value between 0.9 and 1.1;

[0048] The time balancing factor β is calculated based on the time t of each gas turbine from slow to full operating conditions and the average time of all gas turbines. The positive correlation is set, that is,

[0049] Another object of the present invention is to provide a power generation gas turbine grid-connected power allocation technology method comprising:

[0050] Step 1: Detecting the real-time output power of two or more gas turbines connected to the grid in real time through a power detection module;

[0051] Step 2: Receive detection data from the power detection module, the generator set, and the power grid through the data processing module, process the data according to a preset algorithm, and generate a power control instruction;

[0052] Step 3: The power control module receives the fuel control instruction and the excitation control instruction generated by the data processing module to control the output power of the gas turbine.

[0053] Another object of the present invention is to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the power generation gas turbine grid-connected power allocation method.

[0054] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to execute the steps of the method for grid-connected power allocation of a power generation gas turbine.

[0055] Another object of the present invention is to provide an information data processing terminal, which is used to implement the power generation gas turbine grid-connected power allocation device.

[0056] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0057] First, we will address the technical problems existing in the above-mentioned prior art and provide some creative technical effects after solving the problems. The details are as follows:

[0058] (1) Real-time performance: The power detection module detects the output power of the gas turbine in real time, ensuring the real-time performance of power allocation. Power detection effect: Single current detection is simple, linear, and efficient.

[0059] (2) Accuracy: Through the data processing module and the preset algorithm, the power control instructions can be accurately calculated, realizing the precise allocation of the gas turbine grid-connected power.

[0060] Power allocation effect: Any proportional adjustment can be adopted, and the power error meets the set requirements.

[0061] (3) Stability: By regulating the output power of the gas turbine through the power control module, the stability of the power grid can be effectively improved.

[0062] Power allocation effect: There is no problem of power oscillation between the two gas turbines.

[0063] (4) Economic efficiency: By precisely adjusting the grid-connected power of gas turbines, the operating cost of the power grid can be reduced and economic efficiency can be improved.

[0064] Power allocation effect: It can enable the gas turbine to operate under its own economic conditions and avoid surge, overheating, overspeed and other problems in the transient process.

[0065] Second, the present invention has achieved significant technological advancements:

[0066] 1) Accurate power detection and differentiation:

[0067] By improving the power detection module, the present invention achieves accurate detection of the real-time output power of multiple gas turbines operating in grid-connected operation, and can distinguish the different characteristics of single-shaft and multi-shaft gas turbines. Using formulas (1) and (2), the output power of each gas turbine is accurately calculated, providing accurate basic data for subsequent data processing and regulation.

[0068] 2) Optimized data processing algorithm:

[0069] The data processing module of the present invention uses a precise control model based on a preset algorithm, comprehensively considering the loss coefficients of the generator, excitation device, and rectifier (Formulas (3) and (4)). By collecting DC current values ​​at high frequency and regulating fuel flow using a PID inner loop, the accuracy and timeliness of power distribution are ensured (Formulas (5) and (6)).

[0070] 3) Efficient power regulation response:

[0071] The power control module of the present invention combines the power balancing factor and the time balancing factor to generate comprehensive control instructions (Formulas (9) to (12)). This module sets reasonable balancing factor ranges and time balancing factors to meet the different control requirements of single-shaft and multi-shaft gas turbines, significantly improving the response speed and flexibility of power control and ensuring efficient operation of the system.

[0072] 4) Coordinated fuel and excitation system control:

[0073] This invention achieves a high degree of coordination in the regulation of the fuel and excitation systems. Through real-time adjustment of integrated control instructions, the fuel and excitation systems can synchronously respond to actual power demands, avoiding overload or no-load operation and improving the overall efficiency and stability of the system.

[0074] In summary, the present invention solves the problems of insufficient accurate detection, suboptimal algorithms, delayed response, and poor system coordination existing in the prior art by comprehensively optimizing power detection, data processing, and control algorithms, thereby significantly improving the performance and reliability of the grid-connected power allocation system for power generation gas turbines.

[0075] Third, as auxiliary evidence for the inventiveness of the claims of the present invention, it is also reflected in the following important aspects:

[0076] (1) The expected benefits and commercial value of the technical solution of the present invention after transformation are:

[0077] Once implemented, the technical solution of this invention can be applied to power allocation and energy management for grid-connected gas turbines. This approach allows for the rational allocation and optimization of overall power generation based on the characteristics of individual units, maximizing the stability of the grid-connected gas turbine system and effectively suppressing grid voltage fluctuations and generator speed fluctuations. In the field of distributed energy systems and isolated grids, this technology has significant practical value and potential for promotion, including promoting technological innovation and R&D, improving energy efficiency, enhancing system stability and reliability, optimizing and upgrading energy structures, and reducing operation and maintenance costs.

[0078] (2) The technical solution of the present invention fills the technical gap in the industry at home and abroad:

[0079] The present invention takes into account the characteristics of different gas turbines and proposes for the first time a power allocation technology for grid-connected gas turbines of different forms. By adding a power detection module, a data processing module, and a power control module, an experimental platform is built for verification, thereby achieving stable operation of the micro gas turbine grid-connected system under different load fluctuations.

[0080] (3) Whether the technical solution of the present invention solves the technical problems that people have been eager to solve but have not been able to solve successfully:

[0081] Effectively solve the problem of insufficient stability in microgrids: The two different types of gas turbines have different characteristics, both of which can respond quickly to changes in grid load. Through power allocation, gas turbines work in coordination with other electrical equipment to achieve balanced and stable operation of the grid and reduce the risk of grid failure caused by load fluctuations.

[0082] The problem of effectively optimizing energy utilization: According to the characteristics of different types of gas turbines, the power distribution of gas turbines can be flexibly adjusted in different load periods to improve the economy of the system.

[0083] Third, the present invention provides a power allocation device for grid-connected gas turbines, solving the problems of inaccurate power regulation, slow response speed, and uneven power distribution in the prior art, achieving significant technological progress. The details are as follows:

[0084] 1. Precise Power Control: Through the collaborative work of the power detection module and the data processing module, the gas turbine's output power is monitored in real time and corrected based on a pre-set precision control model, ensuring more precise output power for each grid-connected gas turbine. Compared to the simple power monitoring methods of existing technologies, this invention utilizes real-time feedback and error correction mechanisms to ensure high system accuracy and stability.

[0085] 2. Dynamic Adjustment and Response: By regulating the excitation current and fuel flow, the system can dynamically adjust to the actual status of the gas turbine during real-time operation, ensuring balanced power distribution and rapid system response. This technological improvement effectively avoids response delays caused by turbine load fluctuations or environmental changes, significantly improving system flexibility and stability.

[0086] 3. Adaptive Power Distribution: By introducing power and time balancing factors, combined with fuel and excitation control, the system automatically adjusts power distribution based on the type of gas turbine (single-shaft, multi-shaft) and its operating conditions. Compared to existing fixed power distribution schemes, this invention optimizes power distribution through an adaptive adjustment mechanism, effectively reducing load imbalances between different gas turbines.

[0087] 4. Low error rate control: The present invention ensures that the gas turbine can effectively reduce fluctuations when connected to the grid by reasonably setting the error range (such as the power error δ does not exceed 3%, and the speed error ε does not exceed 0.5%), and ensures that the system maintains high accuracy and stability during operation, thereby solving the problem of insufficient error control in the existing technology.

[0088] 5. Efficient Algorithm Optimization: The system uses advanced computational models to calculate gas turbine output power, fuel flow, and other parameters in real time and dynamically adjusts these parameters, improving the system's computational efficiency and processing capabilities. In particular, through the judgment conditions in equation (5), the present invention ensures that the system maintains efficient power distribution even under complex grid-connected conditions.

[0089] 6. Broad industrial application prospects: The present invention is not only applicable to the grid-connected operation of traditional gas turbines, but can also be extended to new energy power generation systems. It has significant technical advantages in improving grid stability, saving energy and improving power generation efficiency.

[0090] In summary, the present invention has made significant progress in power allocation accuracy, response speed, adaptive regulation and error control compared with the existing technology. It can effectively solve practical problems in industrial applications and has broad application value and promotion prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 This is a structural block diagram of a power generation gas turbine grid-connected power allocation device provided by an embodiment of the present invention.

[0092] Figure 2 This is a flow chart of the power allocation technology for grid-connected gas turbines provided by an embodiment of the present invention.

[0093] Figure 3 It is a structural schematic diagram of a grid-connected power generation device provided by an embodiment of the present invention.

[0094] Figure 4 It is a schematic diagram of a grid-connected power allocation system provided by an embodiment of the present invention.

[0095] Figure 5 This is a power regulation steady-state diagram provided by an embodiment of the present invention.

[0096] Figure 6 It is a flow chart of a power regulation dynamic graph method provided by an embodiment of the present invention.

[0097] Figure 1 In: 1. Power detection module; 2. Data processing module; 3. Power control module. DETAILED DESCRIPTION

[0098] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0099] The following are two specific industrial application examples of the power distribution device for grid-connected gas turbines based on the present invention:

[0100] 1. Gas turbine power control system used in distributed energy grid

[0101] In distributed energy grids, multiple small power generation units, such as gas turbines, solar photovoltaic systems, and wind turbines, often operate in parallel. These generators often suffer from significant power fluctuations and response delays. In particular, when loads fluctuate significantly, uneven power distribution between the individual units can lead to grid instability. The gas turbine grid-connected power allocation device of the present invention can monitor the output power of multiple gas turbines in real time within a distributed energy grid and precisely regulate it through a data processing module and a power control module.

[0102] For example, in a distributed power generation system consisting of five gas turbines, the system monitors the output power of each turbine in real time and uses a real-time algorithm to determine whether the power distribution meets the set balance ratio. If a turbine's output power is insufficient due to load fluctuations, the system automatically adjusts its fuel flow and excitation current based on the detection results to ensure that the turbine's output power is balanced with that of the other units, thereby ensuring the overall stability of the power grid and the accuracy of power distribution.

[0103] 2. Grid-connected gas turbine power generation system for peak load regulation

[0104] In certain peak load regulation scenarios, such as industrial parks or large-scale urban power supply systems, the power grid often faces load peaks, requiring power generation equipment to respond quickly and provide additional power support. The power allocation device of the present invention can play a key role in such peak load regulation application scenarios.

[0105] For example, during peak load regulation in a large industrial park, three gas turbines are typically connected to the grid. When the load suddenly increases, the device quickly detects the load change through the power detection module and calculates the required power increase for each gas turbine through the data processing module, generating control instructions for fuel flow and excitation current. Internal-loop PID control ensures that the gas turbine can quickly respond to peak load demands and provide the required additional power. Throughout the regulation process, the system ensures that the power distribution between each gas turbine remains reasonable by adjusting the power balancing factor in real time, avoiding problems such as overloading a single gas turbine or system imbalance.

[0106] The above two embodiments show that the present invention can significantly improve the efficiency and stability of gas turbine grid-connected operation, and has important application value, especially in key scenarios such as distributed power generation and peak load regulation.

[0107] like Figure 1 As shown, an embodiment of the present invention provides a power distribution device for a power generation gas turbine connected to the grid, comprising:

[0108] Power detection module 1, data processing module 2, power control module 3;

[0109] The power detection module 1 is connected to the data processing module 2 and is used to detect the real-time output power of two or more gas turbines running in grid connection;

[0110] The data processing module 2 is connected to the power control module 3 and is used to receive the detection data of the power detection module, the generator set and the power grid, and process it according to the preset algorithm to generate power control instructions;

[0111] The power control module 3 is connected to the data processing module 2 and is used to receive the fuel control instructions and excitation control instructions generated by the data processing module to control the output power of the gas turbine.

[0112] The power detection module provided by the embodiment of the present invention:

[0113] The power detection module is used to detect the real-time output power of two or more gas turbines running in grid connection;

[0114] Ne1=U1I1(1)

[0115] Ne2=U2I2(2)

[0116] In equations (1) and (2), Ne is the power provided by the power generation gas turbine unit to the bus; U is the bus DC voltage, I is the DC current input to the bus by each generator unit, and the subscripts 1 and 2 represent two power generation gas turbines; 1 is a single-shaft gas turbine, and 2 is a split-shaft or multi-shaft gas turbine.

[0117] The data processing module provided by the embodiment of the present invention:

[0118] The data processing module is used to receive the detection data of the power detection module, the generator set and the power grid, and process it according to the preset algorithm to generate power control instructions;

[0119] For each gas turbine Ne a The actual output power needs to be corrected, and the precise control model used is:

[0120]

[0121] In formula (3) and formula (4), is the loss coefficient of the generator, ψ is the loss coefficient of the excitation device, is the loss coefficient of the rectifier;

[0122] In view of the DC voltage U1≈U2=U, in this device, only the current value of each power generation gas turbine unit input to the bus can be checked, and the current measurement value must have a high acquisition frequency; judgment conditions:

[0123]

[0124] In formula (5), p is the ratio of the rated power of the grid-connected gas turbines or the set distribution ratio, δ is the error, which is generally not greater than 3%;

[0125] When equation (5) is not satisfied, the power distribution is precisely controlled by adjusting the excitation current. At the same time, the gas turbine fuel system adjusts the fuel flow through the inner loop PID to match the AC frequency before the generator set is input to the rectifier cabinet, as shown in equation (6).

[0126]

[0127] In formula (6), n is the actual speed of the output shaft of the power generation gas turbine, n0 is the design rated speed of the output shaft of the power generation gas turbine, and ε is the error, which is generally not greater than 0.5%;

[0128] For a single-shaft gas turbine, the speed is constant and the power Ne a And gas temperature T3, fuel flow G f,1 There is an external characteristic relationship:

[0129] Nea,1 =f1(T3,G f,1 ) (7)

[0130] For split-shaft or multi-shaft gas turbines, the power turbine speed remains constant, but the gas generator speed varies, and the power Ne a and compressor air flow G c , fuel flow G f,2 There is an external characteristic relationship:

[0131] Ne a,2 =f2(G c ,G f,2 ) (8).

[0132] The power control module provided by the embodiment of the present invention:

[0133] The power control module is used to receive the fuel control instructions and excitation control instructions generated by the data processing module to control the output power of the gas turbine;

[0134] The inverse transformation of equations (7) and (8) yields:

[0135]

[0136] Assume that the fuel flow rate of the single-shaft gas turbine at rated power is G f,01 The fuel flow rate at rated power of split-shaft or multi-shaft gas turbine is G f,02 ;

[0137] The power balancing factor α and the time balancing factor β of the coupled response rate are used to form a comprehensive control instruction;

[0138] For a single-shaft gas turbine, the excitation control instruction c1 is:

[0139]

[0140] For split-shaft or multi-shaft gas turbines, the excitation system control instruction c2 is:

[0141]

[0142] For a single-shaft gas turbine, since about one-third of its turbine power control amount is power generation, its power balancing factor α can be a value between 2.5 and 3.5; for a split-shaft or multi-shaft gas turbine, since all of its power turbine power control amount is power generation, its power balancing factor α can be a value between 0.9 and 1.1;

[0143] The time balancing factor β is calculated based on the time t of each gas turbine from slow to full operating conditions and the average time of all gas turbines. The positive correlation is set, that is,

[0144] like Figure 2 As shown, a technical method for grid-connected power allocation of a power generation gas turbine provided by an embodiment of the present invention includes:

[0145] S101, detecting the real-time output power of two or more gas turbines connected to the grid in real time through a power detection module;

[0146] S102, receiving detection data from the power detection module, the generator set, and the power grid through the data processing module, and processing the data according to a preset algorithm to generate a power control instruction;

[0147] S103: receiving the fuel control instruction and the excitation control instruction generated by the data processing module through the power control module, and controlling the output power of the gas turbine.

[0148] like Figure 3 As shown, according to the present invention, a grid-connected system for gas turbines with different power generation types is constructed. The system includes a single-shaft gas turbine and a split-shaft gas turbine, their control systems, excitation control systems, rectifiers, power control panels, load panels, a bus-connected panel (including a grid controller and energy management system), and two user loads. The two gas turbines of different types are connected in parallel via a three-phase uncontrolled rectifier bus-connected panel to achieve load distribution of grid-connected power.

[0149] The voltage, current, frequency, phase and other parameters on the AC side of the rear end of the gas turbine generator and the voltage and current and other parameters on the DC side of the rear end of the rectifier are fed back to the busbar paralleling screen. The real-time power of the two gas turbines is detected by the power detection module. The relevant data of the generator sets of the other two gas turbines are also transmitted to the energy management system in the busbar screen. The power is distributed according to the established power distribution ratio. If it does not meet the requirements, the energy management system in the busbar screen will issue a control instruction to control the power of the excitation control system and the control system of the gas turbine respectively. The specific control method is as described above, and finally the reasonable distribution of power is achieved. The overall allocation process is as follows Figure 4 shown.

[0150] Figure 5 and Figure 6The power variation (test data) of the two parallel grid system of the power generation gas turbine in the steady state and load mutation condition, the 1# gas turbine is a split-shaft gas turbine, the power is 200kW, the 2# gas turbine is a single-shaft gas turbine, the power is 100kW, and the power distribution ratio is set to 2:1. The user load is set to 90kW in the steady state. Through the experiment, it is known that the 1# gas turbine generator set power fluctuates in the range of 59.8kW-65.2kW after stabilization, the effective power is 62.2kW, the 2# gas turbine fluctuates in the range of 29.8kW-30.3kW, the effective power is 30kW, and the power distribution ratio is 2.07, the error is 3.67%.

[0151] The dynamic process is that: at t=0, the 1# gas turbine power is stabilized at 10kW, and the 2# gas turbine power is stabilized at 5kW, at 18s, 22.5kW is suddenly increased, due to the difference between the structure and the control system of the two gas turbines, the response speed of the 2# gas turbine is much faster than that of the 1# gas turbine, after 20s of stabilization, the 1# gas turbine power is basically stabilized at 25kW, and the 2# gas turbine power is stabilized at 12.5kW, which conforms to the power distribution ratio of 2:1, but the dynamic regulation process does not necessarily maintain the ratio of 2:1 due to the difference between the control system and the structure.

[0152] It should be noted that the embodiments of the present application can be realized by hardware, software or a combination of software and hardware. The hardware part can be realized by special logic; the software part can be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or a specially designed hardware. Those skilled in the art can understand that the above-mentioned devices and methods can be realized by computer executable instructions and / or included in processor control code, such as provided on a carrier medium, such as a magnetic disk, CD or DVD-ROM, a programmable memory, such as a read-only memory (firmware), or a data carrier, such as an optical or electronic signal carrier. The devices of the present application and their modules can be realized by hardware circuits, such as very large scale integrated circuits or gate arrays, semiconductors, such as logic chips, transistors, etc., or programmable hardware devices, such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0153] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any modification, equivalent replacement and improvement made by those skilled in the art within the technical range disclosed by the present application, as long as it is within the spirit and principle of the present application, should be covered within the protection scope of the present application.

Claims

1. A power distribution device for a power generation gas turbine connected to the grid, characterized in that: include: A power detection module, connected to the data processing module, is used to detect the real-time output power of two or more gas turbines running in grid connection; The data processing module is connected to the power control module and is used to receive the detection data of the power detection module, the generator set and the power grid, and process the data according to the preset algorithm to generate power control instructions; The power control module is connected to the data processing module and is used to receive the fuel control instructions and excitation control instructions generated by the data processing module to control the output power of the gas turbine; The data processing module: The data processing module is used to receive the detection data of the power detection module, the generator set and the power grid, and process it according to the preset algorithm to generate power control instructions; For each gas turbine Ne a The actual output power needs to be corrected, and the precise control model used is: In formula (3) and formula (4), is the loss coefficient of the generator, φ is the loss coefficient of the excitation device, and ψ is the loss coefficient of the rectifier device; In view of the DC voltage U1≈U2=U, in this device, only the current value of each power generation gas turbine unit input to the bus can be checked, and the current measurement value must have a high acquisition frequency; judgment conditions: In formula (5), p is the ratio of the rated power of the grid-connected gas turbines or the set distribution ratio, which is set according to the working requirements or determined according to the power ratio of the two gas turbine generator sets. δ is the error, which is generally not greater than 3%; When equation (5) is not satisfied, the power distribution is precisely controlled by adjusting the excitation current. At the same time, the gas turbine fuel system adjusts the fuel flow through the inner loop PID to match the AC frequency before the generator set is input to the rectifier cabinet, as shown in equation (6). In formula (6), n is the actual speed of the output shaft of the power generation gas turbine, n0 is the design rated speed of the output shaft of the power generation gas turbine, and ε is the error, which is generally not greater than 0.5%; For a single-shaft gas turbine, the speed is constant and the power Ne a,1 And gas turbine turbine inlet temperature T3, fuel flow rate G f,1 There is an external characteristic relationship: No a,1 =f1(T3,G f,1 ) (7) For split-shaft or multi-shaft gas turbines, the power turbine speed remains constant, but the gas generator speed varies, and the power Ne a,2 and compressor air flow G c , fuel flow G f,2 There is an external characteristic relationship: No a,2 =f2(G c ,G f,2 ) (8); The power control module: The power control module is used to receive the fuel control instructions and excitation control instructions generated by the data processing module to control the output power of the gas turbine; The inverse transformation of equations (7) and (8) yields: Assume that the fuel flow rate of the single-shaft gas turbine at rated power is G f,01 The fuel flow rate at rated power of split-shaft or multi-shaft gas turbine is G f,02 ; The power balancing factor α and the time balancing factor β of the coupled response rate are used to form a comprehensive control instruction; For a single-shaft gas turbine, the excitation control instruction c1 is: For split-shaft or multi-shaft gas turbines, the excitation system control instruction c2 is: For a single-shaft gas turbine, since about one-third of its turbine power control amount is power generation, its power balancing factor α can be a value between 2.5 and 3.5; for a split-shaft or multi-shaft gas turbine, since all of its power turbine power control amount is power generation, its power balancing factor α can be a value between 0.9 and 1.1; The time balancing factor β is calculated based on the time t of each gas turbine from slow to full operating conditions and the average time of all gas turbines. The positive correlation is set, that is, 2. The power distribution device for grid-connected gas turbine generator according to claim 1, characterized in that: The power detection module: The power detection module is used to detect the real-time output power of two or more gas turbines running in grid connection; Ne1=U1I1(1) Ne2=U2I2(2) In equations (1) and (2), Ne is the power provided by the power generation gas turbine unit to the bus; U is the bus DC voltage, I is the DC current input to the bus by each generator unit, and the subscripts 1 and 2 represent two power generation gas turbines; 1 is a single-shaft gas turbine, and 2 is a split-shaft or multi-shaft gas turbine.

3. A method for adjusting the power of a power generation gas turbine connected to the grid, applied to the power generation gas turbine connected to the grid power adjustment device according to any one of claims 1 to 2, characterized in that: The power allocation method for grid-connected gas turbine power generation includes: Step 1: Detecting the real-time output power of two or more gas turbines connected to the grid in real time through a power detection module; Step 2: Receive detection data from the power detection module, the generator set, and the power grid through the data processing module, process the data according to a preset algorithm, and generate a power control instruction; Step 3: The power control module receives the fuel control instruction and the excitation control instruction generated by the data processing module to control the output power of the gas turbine.

4. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the power generation gas turbine grid-connected power allocation method as claimed in claim 3.

5. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the method for grid-connected power allocation of a power generation gas turbine according to claim 3.

6. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the power generation gas turbine grid-connected power allocation device as described in any one of claims 1 to 2.

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