Multi-target cooperative control power system stabilizer and obtaining method thereof
By constructing macro variables that include speed, electric power, and generator terminal voltage deviation, a power system stabilizer with multi-objective collaborative control is obtained. This solves the problems of unreasonable voltage control and slow transition of operating point caused by the neglect of generator terminal voltage in the prior art, and achieves faster dynamic response and stronger robustness.
Patent Information
- Application Number
- CN202511294388.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-11
- Publication Date
- 2026-01-06
AI Technical Summary
Existing distributed nonlinear power system stabilizers based on cooperative control theory neglect the influence of terminal voltage in multi-machine, multi-region systems, resulting in unreasonable voltage control, slow transition of operating point, inability to fully converge the system to the manifold, and poor suppression effect.
By constructing macro variables based on speed deviation, power deviation, and terminal voltage deviation, and obtaining a power system stabilizer through a collaborative control law, comprehensive collaborative control of the power system state is achieved, enhancing the ability to adjust voltage conditions.
It improves the dynamic response speed and voltage stability of the power system, enhances its adaptability to different operating conditions, shortens the recovery time of various indicators after disturbances, and improves the robustness and control effect of the system.
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Figure CN121282874A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of power system stability control technology, and more specifically, relates to a power system stabilizer with multi-objective cooperative control and a method for obtaining it. Background Technology
[0002] A power system stabilizer is an important device used to improve the stability of a power system. It can effectively suppress low-frequency oscillations and ensure the safe and stable operation of the power system.
[0003] Existing PSS (Power System Stabilizer) control mainly relies on the phase compensation method based on linearized models. This method uses a linearized model of the system near the target operating point and frequency domain analysis to adjust the phase characteristics of the PSS to provide damping compensation for the system. However, this PSS has poor adaptability when the system operating conditions change significantly.
[0004] To improve the adaptability of Power System Stabilizers (PSS), some studies have proposed distributed nonlinear power system stabilizers (SPSS) based on cooperative control theory. This method constructs appropriate macrovariables to achieve cooperative control of the power system state, thereby suppressing low-frequency oscillations. Because it employs cooperative control, a nonlinear control method, the SPSS avoids the limited operating range problem of traditional phase compensation methods. Furthermore, this method allows for a wider operating range while maintaining a simple, fixed-structure, fixed-parameter controller. However, the SPSS design method primarily considers speed and power deviations, neglecting the influence of terminal voltage. This leads to poor control performance in multi-machine, multi-region systems that require both voltage adjustment and inter-regional power transmission control, resulting in issues such as unreasonable voltage control, slow transition at the operating point, and the inability to fully converge the system to a manifold. Summary of the Invention
[0005] To address the shortcomings of existing technologies, this application aims to provide a power system stabilizer based on multi-objective cooperative control and its acquisition method. This addresses the problems of existing distributed nonlinear power system stabilizers based on cooperative control theory, which primarily consider speed deviation and power deviation while neglecting the influence of terminal voltage. This results in poor suppression performance when dealing with multi-machine, multi-region systems that require both voltage adjustment and inter-regional power transmission control. Problems include unreasonable voltage control, slow transition to operating point, and inability to fully converge the power system to a manifold.
[0006] To achieve the above objectives, in a first aspect, this application provides a method for obtaining a power system stabilizer with multi-objective cooperative control, comprising the following steps: Macro variables are constructed based on speed deviation, power deviation, and terminal voltage deviation, and then based on... n The state equations and macrovariables of the power system with multiple generators are used to solve the coordinated control law to obtain the power system stabilizer; the power system is a multi-generator, multi-region interconnected power system; n It is an integer greater than or equal to 2.
[0007] More preferably, the macro variable is: ; in, For the first Macro variables for generators; For the first The generator speed; For the first Reference value for generator speed; For the first Electromagnetic power of the generator; For the first Reference value for electromagnetic power of generator; For the first Generator terminal voltage; For the first Reference value for generator terminal voltage; , , These are the speed deviation, electric power deviation, and terminal voltage deviation coefficients, respectively, used to adjust the weight of each state variable in the macro variables; .
[0008] More preferably, the power system state equation of the generator is:
[0009]
[0010]
[0011]
[0012]
[0013] in, For the first The inertial time constant of the generator; For the first Mechanical power of the generator; For the first Electromagnetic power of the generator; For the first The first derivative of the generator's power angle; For the first The generator speed; For the first Reference value for the rotor angular velocity of the generator; For synchronous angular velocity, ; For the first Damping coefficient of generator; For the first generator q Axis transient potential; For the first generator q shaft current; For the first generator d Shaft transient open-circuit time constant; For the first generator d Shaft transient reactance; For the first Reactive power of generators; For the first Generator terminal voltage; For the first Output of generator excitation regulator; For the first The PSS of the generator is output through the excitation regulator; For the first generator q Axial reactance; For the first The excitation system of the generator generates control quantities based on the system's own voltage regulation. For the first Additional control quantities generated by the generator PSS; For the first Voltage amplification factor of the generator excitation system.
[0014] More preferably, the control law of the power system stabilizer is:
[0015] in, For the first generator d Shaft transient open-circuit time constant; For the first The time constant of the macro variable corresponding to the generator.
[0016] Secondly, this application provides a power system stabilizer with multi-objective cooperative control, whose cooperative control law is based on... n The power system state equations and macro variables of the generator are obtained. The macro variables are constructed based on the speed deviation, power deviation and terminal voltage deviation.
[0017] More preferably, the macro variable is: ; in, For the first Macro variables for generators; For the first The generator speed; For the first Reference value for generator speed; For the first Electromagnetic power of the generator; For the first Reference value for electromagnetic power of generator; For the first Generator terminal voltage; For the first Reference value for generator terminal voltage; , , These are the speed deviation, electric power deviation, and terminal voltage deviation coefficients, respectively, used to adjust the weight of each state variable in the macro variables; .
[0018] More preferably, the power system state equation of the generator is:
[0019]
[0020]
[0021]
[0022]
[0023] in, For the first The inertial time constant of the generator; For the first Mechanical power of the generator; For the first Electromagnetic power of the generator; For the first The first derivative of the generator's power angle; For the first The generator speed; For the first Reference value for the rotor angular velocity of the generator; For synchronous angular velocity, ; For the first Damping coefficient of generator; For the first generator q Axis transient potential; For the first generator q shaft current; For the first generator d Shaft transient open-circuit time constant; For the first generator d Shaft transient reactance; For the first Reactive power of generators; For the first Generator terminal voltage; For the first Output of generator excitation regulator; For the first The PSS of the generator is output through the excitation regulator; For the first generator q Axial reactance; For the first The excitation system of the generator generates control quantities based on the system's own voltage regulation. For the first Additional control quantities generated by the generator PSS; For the first Voltage amplification factor of the generator excitation system.
[0024] More preferably, the control law of the power system stabilizer is:
[0025] in, For the first generator d Shaft transient open-circuit time constant; For the first The time constant of the macro variable corresponding to the generator. Thirdly, this application provides an electronic device / image signal generator / network device / transmitter / terminal / base station / industrial control computer, comprising: at least one memory for storing a program; at least one processor for executing the program stored in the memory, wherein when the program stored in the memory is executed, the processor is used to execute the method described in the first aspect or any possible implementation thereof.
[0026] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when run on a processor, causes the processor to perform the method described in the first aspect or a further preferred embodiment of the first aspect.
[0027] Fifthly, this application provides a computer program product that, when run on a processor, causes the processor to perform the method described in the first aspect or a further preferred embodiment of the first aspect.
[0028] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here.
[0029] Overall, the technical solutions conceived in this application have the following beneficial effects compared with the prior art: This application provides a method for obtaining a power system stabilizer with multi-objective collaborative control. The macro variables are based on speed deviation, power deviation and generator terminal voltage deviation. In addition to the traditional speed deviation and power deviation, generator terminal voltage deviation is introduced to achieve comprehensive collaborative control of the power system state.
[0030] This application provides a method for obtaining a power system stabilizer with multi-objective collaborative control. By adding coefficients to each state variable in the macro variables and adjusting the relative magnitudes between the coefficients of speed deviation, power deviation and generator terminal voltage deviation, it can flexibly adapt to different power system operating conditions and control objectives. Attached Figure Description
[0031] Figure 1 This is a block diagram of the MCPSS control provided in the embodiments of this application; Figure 2 This is a design flowchart of the MCPSS provided in the embodiments of this application; Figure 3 This is a structural diagram of the four-machine, two-area system provided in the embodiments of this application; Figure 4 This application provides a comparison of the regional outlet voltage and intra-range transmission power response curves of the MCPSS provided in this embodiment with those of a traditional phase compensation power system stabilizer (traditional PSS) and a distributed nonlinear power system stabilizer (SPSS) based on cooperative control theory under voltage reference value disturbance. Figure 5 This application provides a comparison of the power angle deviation, speed, acceleration power, and terminal voltage response curves of the MCPSS provided in this embodiment with those of a traditional phase compensation power system stabilizer (traditional PSS) and a distributed nonlinear power system stabilizer (SPSS) based on cooperative control theory, under voltage reference value disturbances, between the G1 unit and the G4 unit. Figure 6 This application compares the regional output voltage and intra-regional transmission power response curves of the MCPSS provided in this embodiment with those of a traditional phase compensation power system stabilizer (traditional PSS) and a distributed nonlinear power system stabilizer (SPSS) based on cooperative control theory under three-phase short-circuit grounding disturbance. Figure 7 This paper compares the power angle deviation, speed, acceleration power, and terminal voltage response curves of the G1 unit relative to the G4 unit under three-phase short-circuit grounding disturbance with the MCPSS provided in this application embodiment and the traditional phase compensation power system stabilizer (traditional PSS) and the distributed nonlinear power system stabilizer (SPSS) based on cooperative control theory. Detailed Implementation
[0032] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0033] In this application, the term "and / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A existing alone, A and B existing simultaneously, and B existing alone. In this application, the symbol " / " indicates that the related objects are in an "or" relationship, for example, A / B means A or B.
[0034] The terms "first" and "second," etc., used in the specification and claims of this application are used to distinguish different objects, rather than to describe a specific order of objects.
[0035] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.
[0036] In the description of the embodiments in this application, unless otherwise stated, "multiple" means two or more.
[0037] First, let's introduce the technical terms used in the embodiments of this application: The multi-machine, multi-regional interconnected power system involved in this application involves a weak interconnection between power systems in different regions. A weak interconnection between power systems in different regions refers to an interconnection method in which two or more power systems are connected through transmission and transformation equipment, but their power transmission capacity is limited and their dynamic response and stability characteristics have a weak mutual influence. In the power system stabilizer, it has low-frequency oscillation characteristics, and low-frequency oscillations in the range of 0.1Hz to 2.5Hz are likely to occur in the region; and it is also prone to power fluctuation amplification effect, where power fluctuations in the region are more easily amplified and propagated to other regions. The principle of the multi-objective cooperative control power system stabilizer and its acquisition method provided in this application is as follows: This application improves the construction method of macro variables by introducing generator terminal voltage deviation on the basis of traditional speed deviation and power deviation, thereby achieving comprehensive cooperative control of the power system state. The specific theoretical basis is: the output power expression obtained from the classical electromagnetic power expression of the generator:
[0038] in, Electromagnetic power, This refers to the generator's output power. Power factor; The generator's power angle; The number of phases; The internal electromotive force of the generator; This refers to the terminal voltage. and Generators d , q Axial reactance; This refers to the basic electromagnetic power. To add electromagnetic power; According to this formula, the generator output power is related to the terminal voltage and the power angle. In the context of this application, that is... and and There are mutual constraints, and the angle of attack... The change can be expressed by rotational speed The integral expression of the deviation from the rated value indicates that the generator output power is related to the terminal voltage and the generator speed. and and There is a mutual constraint relationship; Based on the above relationship, the macro variables in this application include the generator output power. Terminal voltage and generator speed Furthermore, based on the principles of collaborative control theory, the control law derived under this macro-variable design takes into account the collaborative relationship among the three parties, thus realizing comprehensive collaborative control of the power system state.
[0039] The embodiments of this application are described below with reference to the accompanying drawings.
[0040] like Figure 2 As shown, this application provides a method for obtaining a power system stabilizer with multi-objective cooperative control, wherein, as Figure 1 As shown, the power system is a multi-machine, multi-region interconnected power system, which specifically includes the following steps: Step S1: Obtain The power system state equations of the generator describe the relationships between, but are not limited to, generator power angle, speed, electromagnetic power, reactive power, terminal voltage and excitation regulator output. (1) (2) (3) (4) (5) in, The equation for the generator rotor rocking; The generator's power angle state equation; The state equation for the subtransient electromotive force of the generator q-axis; Here is the expression for the generator's electrical power; Here is the expression for the q-axis subtransient electromotive force of the generator; Here is the expression for the q-axis current of the generator; The state equations for the generator excitation system are as follows; ; For the first The inertial time constant of the generator; For the first Mechanical power of the generator; For the first Electromagnetic power of the generator; For the first The first derivative of the generator's power angle; For the first The generator speed; For the first Reference value for the rotor angular velocity of the generator; For synchronous angular velocity, ; For the first Damping coefficient of generator; For the first generator q Axis transient potential; For the first generator q shaft current; For the first generator d Shaft transient open-circuit time constant; For the first generator d Shaft transient reactance; For the first Reactive power of generators; For the first Generator terminal voltage; For the first Output of generator excitation regulator; For the first The PSS of the generator is output through the excitation regulator; For the first generator q Axial reactance; For the first The excitation system of the generator generates control quantities based on the system's own voltage regulation. For the first Additional control quantities generated by the generator PSS; For the first Voltage amplification factor of the generator excitation system.
[0041] Step S2: Construct macro variables based on speed deviation, power deviation, and terminal voltage deviation. The macro variables are represented as follows: (6) in, For the first Macro variables for generators; For the first The generator speed; For the first Reference value for generator speed; For the first Electromagnetic power of the generator; For the first Reference value for electromagnetic power of generator; For the first Generator terminal voltage; For the first Reference value for generator terminal voltage; , , These are the speed deviation, electric power deviation, and terminal voltage deviation coefficients, respectively, used to adjust the weight of each state variable in the macro variables; It should be noted here that the introduction of the voltage deviation term in the macro variable definition can improve the dynamic response speed and voltage stability of the power system stabilizer; speed deviation, power deviation, and generator terminal voltage deviation coefficient ( , , The size of the stabilizer can be adjusted according to the actual operating conditions and control objectives of the power system, thereby optimizing the performance of the power system stabilizer. Step S3: Based on the power system state equations and macro variables, derive the cooperative control law. The cooperative control law is used to control the generator excitation system to suppress power system oscillations; its derivation process is as follows: The cooperative controller provided in this application converges to the manifold using the following dynamic process, as shown in equation (7): (7) in, As a time constant, it can be adjusted according to the control objective and effect, determining the speed at which the macro variable converges to the manifold, and ; Taking the derivative of formula (2), we get: (8) Substituting formula (6) into formula (7), we get: (9) Substituting equations (1), (5), and (8) into equation (9), and considering that the PSS output is zero when the system is in steady state, i.e., the control quantity... It is zero, at this time we have We can obtain: (10) For formula (5) The equation assumes that the damping coefficient Very small, if ignored: (11) Since the excitation system's action time is much faster than the speed control system, it is assumed that during the action... Almost unchanged, that is, Then formula (11) can be transformed into: (12) By replacing the power reference value that is not easily measured directly in the control law of formula (10) with formula (12), and substituting formulas (3) and (4) into formula (10), the control law can be obtained: (13) Formula (13) is the control law corresponding to the multi-objective cooperative control power system stabilizer provided in this application. It should be noted that the power system stabilizer is used to suppress low-frequency oscillations.
[0042] Example 1. Simulation Platform like Figure 3 As shown, this simulation method uses a four-machine, two-area system as the simulation platform. The system has four units, denoted as G1, G2, G3, and G4, and the system structure is as follows. Figure 3 As shown, the main system parameters are as follows: Synchronous generator parameters: All parameters are the same except for the inertia coefficient H; First area:
[0043] Second area:
[0044] Excitation system parameters: All units have the same parameters;
[0045] Speed control system parameters: All units have the same parameters; Speed controller: ; Servo component: ; Steam turbine: T2=0(s), T3=10(s), T4=3.3(s), T5=0.5(s), F2=0, F3=0.36, F4=0.36, F5=0.28 Line parameters: The positive sequence resistance is 0.0529 (Ohms / km), and the zero sequence resistance is 1.61 (Ohms / km). The positive sequence inductance is 0.0014032 (H / km), and the zero sequence resistance is 0.0061 (H / km). The positive sequence capacitance is 8.7749e-9 (F / km), and the zero sequence capacitance is 5.2489e-9 (F / km).
[0046] 2. Simulation Working Conditions This simulation method sets up two simulation conditions and observes the response curves of some important system indicators by applying small and large disturbances respectively. It compares the proposed improved coordinated control power system stabilizer (ISPSS), traditional phase compensation power system stabilizer (traditional PSS), and coordinated control power system stabilizer (SPSS). (1) Small disturbance condition: The input reference value of the first unit, namely the G1 excitation system, is raised by 5% to 1.05pu and continues for 8s, then returns to 1pu until the simulation ends; (2) Large disturbance condition: at t=1s, such as Figure 1 A three-phase short-circuit ground fault occurred at the location shown. The faulty line was disconnected approximately 0.13 seconds later, and the power transmission channel between the two areas changed from a double-circuit line to a single-circuit line.
[0047] 3. Controller parameters The parameters of the power system stabilizer provided in this application are as follows: CPSS: This is the PSS built into the model, and the parameters are the same for all units; that is, ; SPSS: All unit parameters are the same. The unit parameters are as follows: K =125, T=0.02s; MCPSS: Same parameters for the same region; First area:
[0048] Second area:
[0049] 4. Simulation Results The simulation results using Matlab / Simulink in this application are as follows: The simulation results for small perturbations are as follows: Figure 4 and Figure 5 ,in, Figure 4 The output voltage and transmission power response curves for the first and second regions of the system are shown. Figure 5 For G1 unit: the power angle deviation, speed, acceleration power and terminal voltage response curves of G1 unit relative to G4 unit; The simulation results of large disturbance are Figure 6 and Figure 7 ,in, Figure 6 The output voltage and transmission power response curves for the first and second regions of the system are shown. Figure 7 For G1 unit: the power angle deviation, speed, acceleration power and terminal voltage response curves of G1 unit relative to G4 unit; To demonstrate the superiority of the proposed power system stabilizer acquisition method, this application includes a comparison between traditional power system stabilizers and collaboratively controlled power system stabilizers. The comparison method is as follows: observe the distance of the inter-regional outlet voltage from the rated value "1pu" after the disturbance, and the oscillation smoothing time; observe the time it takes for the inter-regional transmission power to recover to "413MW" after the disturbance, and the smoothness of the waveform; observe the power angle difference between G1 unit and G4 unit, the speed of G1 unit, the acceleration power of G1 unit, and the oscillation smoothing time of the terminal voltage of G1 unit after the disturbance, and whether there are any deviations in the speed of G1 unit, the acceleration power of G1 unit, and the terminal voltage of G1 unit compared with the indicators before the disturbance.
[0050] Simulation results are as follows Figure 4 , 5 As shown in Figures 6 and 7, the statistical results are shown in Tables 1 and 2. From Tables 1 and 2, we can see that: Under small disturbance conditions: SPSS cannot stably converge to the manifold, indicating that its manifold design cannot adapt to the system operating conditions. At the same time, the deviation of various indicators is more obvious when the disturbance is applied, indicating that it is more sensitive to disturbances. CPSS shows that the device continuously deviates from the rated value when the disturbance exists, and only gradually oscillates and converges to the rated value after the disturbance is eliminated. MCPSS deviates slightly from the rated value for a short period of time when the disturbance is applied, but thereafter it always keeps the various state variables within a very small range near the rated value, and all indicators are very stable, indicating that MCPSS has better anti-interference performance under this manifold design.
[0051] Under large disturbance conditions: SPSS cannot stably converge to the manifold, indicating that its manifold design cannot adapt to the system conditions. Furthermore, its transition to the new operating point after the disturbance is eliminated is very slow, suggesting that the manifold design causes the SPSS control system to transition to an incorrect operating point. CPSS gradually oscillates and gradually decreases in amplitude after the disturbance is eliminated, transitioning to the new operating point. The stable indicators reflect the system's operating state at the new operating point. MCPSS quickly transitions to the new operating point after the disturbance is eliminated, with most indicators transitioning smoothly without oscillations, and a small number of indicators transitioning with slight oscillations. All indicators have the shortest transition time to the new operating point and the smallest overshoot, indicating that MCPSS has good control performance under this manifold design and also has a wider operating range.
[0052] The advantages of this application can be more clearly demonstrated by comparing the various indicators of MCPSS, traditional PSS and SPSS: the power system stabilizer (MCPSS) obtained by the method of this application has better performance than the traditional power system stabilizer, and solves the problem of instability of the coordinated control power system stabilizer (SPSS), and has a strong adaptability to changes in system operating conditions.
[0053] This application provides a method for obtaining a power system stabilizer through multi-objective cooperative control, which has the following advantages: (1) Improved the dynamic response speed of the power system Under small disturbance conditions, this application can reduce the stabilization time of the regional outlet voltage to 0.5s, which is 90% shorter than that of the traditional PSS.
[0054] Under conditions of large disturbances, this application can reduce the stabilization time of the regional output voltage to 1.5s, which is 50% shorter than that of the traditional PSS; and reduce the regional transmission power recovery time to 1.5s, which is 66.7% shorter than that of the traditional PSS.
[0055] (2) Improved voltage stability of the power system Under conditions of large disturbances, this application can reduce the maximum oscillation deviation of the terminal voltage to 0.1 pu, which is 16.7% lower than CPSS and 33.3% lower than SPSS. (3) It improves the robustness of the power system stabilizer, enabling it to adapt to different operating conditions. This application shows that it does not deviate from the manifold under small disturbance conditions; under large disturbance conditions, compared with the traditional PSS, the regional outlet voltage deviation is reduced by 16.7%, the inter-regional transmission power recovery time is shortened to 66.7%, the G1 power angle difference stabilization time relative to G4 is shortened by 75%, the G1 speed stabilization time is shortened by 40%, and the G1 acceleration power stabilization time is shortened by 80%. Its performance under both large and small disturbances is significantly better than that of the traditional PSS, indicating that it has a strong adaptability to changes in system operating conditions.
[0056] Table 1
[0057] Based on the methods in the above embodiments, this application provides an electronic device that may include a processor, a communications interface, a memory, and a communication bus, wherein the processor, communications interface, and memory communicate with each other via the communication bus. The processor may invoke logical instructions stored in the memory to execute the methods in the above embodiments.
[0058] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application.
[0059] Based on the methods in the above embodiments, this application provides a computer-readable storage medium storing a computer program that, when run on a processor, causes the processor to execute the methods in the above embodiments.
[0060] Based on the methods in the above embodiments, this application provides a computer program product that, when run on a processor, causes the processor to execute the methods in the above embodiments.
[0061] It is understood that the processor in the embodiments of this application can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. A general-purpose processor can be a microprocessor or any conventional processor.
[0062] The method steps in this application embodiment can be implemented in hardware or by a processor executing software instructions. The software instructions can consist of corresponding software modules, which can be stored in random access memory (RAM), flash memory, read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, hard disks, portable hard disks, CD-ROMs, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can reside in an ASIC.
[0063] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).
[0064] It is understood that the various numerical designations used in the embodiments of this application are merely for the convenience of description and are not intended to limit the scope of the embodiments of this application.
[0065] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.
Claims
1. A method for obtaining a multi-objective coordinated control power system stabilizer, characterized by, The method comprises the following steps: Based on the speed deviation, the electric power deviation and the terminal voltage deviation, macro variables are constructed, and then according to n The power system state equation and the macro variables of the generator, the cooperative control law is solved to obtain the power system stabilizer; wherein, the power system is a multi-machine multi-area interconnected power system; wherein, n is an integer greater than or equal to 2.
2. The acquisition method of claim 1, wherein, Macro variables are: ; wherein, is the macro variable of the generator of the nth unit; is the macro variable of the generator of the nth unit; is the speed of the generator of the nth unit; is the speed of the generator of the nth unit; is the speed reference value of the generator of the nth unit; is the speed reference value of the generator of the nth unit; is the electromagnetic power of the generator of the nth unit; is the electromagnetic power of the generator of the nth unit; is the electromagnetic power reference value of the generator of the nth unit; is the electromagnetic power reference value of the generator of the nth unit; is the terminal voltage of the generator of the nth unit; is the terminal voltage of the generator of the nth unit; is the terminal voltage reference value of the generator of the nth unit; is the terminal voltage reference value of the generator of the nth unit; , , are respectively the speed deviation, the electric power deviation, the terminal voltage deviation coefficient, used to adjust the weight of each state variable in the macro variable; .
3. The acquisition method of claim 2, wherein, The power system state equation of the generator is: wherein, is the generator inertia time constant; is the generator mechanical power; is the generator electromagnetic power; is the generator power angle first derivative; is the generator speed; is the generator rotor angular speed reference value; is the synchronous angular speed; is the generator damping coefficient; is the generator q shaft transient voltage; is the generator q shaft current; is the generator d shaft transient open circuit time constant; is the generator d shaft transient reactance; is the generator reactive power; is the generator terminal voltage; is the generator excitation regulator output; is the generator PSS output through the excitation regulator; is the generator q shaft reactance; is the generator excitation system control quantity generated according to the system own voltage regulation; is the generator PSS generated additional control quantity; is the generator excitation system voltage amplification factor.
4. The acquisition method of claim 3, wherein, The control law of the power system stabilizer is: wherein, is the is the d is the is the is the 5. A multi-objective coordinated control power system stabilizer characterized by, The coordinated control law according to n Power system state equations and macro-variables of the generator are obtained, where the macro-variables are constructed based on the speed deviation, the power deviation and the terminal voltage deviation.
6. The power system stabilizer according to claim 5, wherein Macro variables are: ; wherein, is the nth macro variable of the generator; is the nth generator speed; is the nth generator speed reference value; is the nth generator electromagnetic power; is the nth generator electromagnetic power reference value; is the nth generator terminal voltage; is the nth generator terminal voltage reference value; , , are respectively the speed deviation, the electric power deviation, the terminal voltage deviation coefficient, used to adjust the weight of each state variable in the macro variable; .
7. The power system stabilizer according to claim 6, characterized by The power system state equation of the generator is: wherein, is the unit generator inertia time constant; is the unit generator mechanical power; is the unit generator electromagnetic power; is the unit generator power angle first derivative; is the unit generator rotor speed; is the unit generator rotor angular speed reference value; is the synchronous angular speed; is the unit generator damping coefficient; is the unit generator q shaft transient voltage; is the unit generator q shaft current; is the unit generator d shaft transient open circuit time constant; is the unit generator d shaft transient reactance; is the unit generator reactive power; is the unit generator terminal voltage; is the unit generator excitation regulator output; is the unit generator PSS through excitation regulator output; is the unit generator q shaft reactance; is the unit generator excitation system control quantity generated according to system own voltage regulation; is the unit generator PSS generated additional control quantity; is the unit generator excitation system voltage amplification factor.
8. The power system stabilizer according to claim 7, characterized by The control law of the power system stabilizer is: wherein, is the station generator d shaft transient open circuit time constant; is the time constant of the corresponding macro variable of the station generator.
9. An electronic device, comprising: comprising: at least one memory for storing a computer program; at least one processor for executing the program stored by the memory, and when the program stored by the memory is executed, the processor is used for executing the acquisition method as claimed in any one of claims 1-4.
10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. When the computer program runs on the processor, the processor is caused to execute the acquisition method as claimed in any one of claims 1-4.