A method, device, equipment and medium for suppressing ultra-low frequency oscillation of a hydroelectric generating set

Abstract

The present application relates to the technical field of hydroelectric generating set operation, and discloses a hydroelectric generating set ultra-low frequency oscillation suppression method, device, equipment and medium, the present application first obtains rotor motion data sets of multiple hydroelectric generating sets, can comprehensively understand the operation state of each hydroelectric generating set. Secondly, the mechanical power of the wide range of speed change rate can be fitted through the target mechanical power relationship, which can more accurately represent the mechanical power of the hydroelectric generating set. Further, the oscillation energy of the speed regulation system can be more accurately calculated by combining the oscillation energy relationship of the speed regulation controller. Finally, multiple hydroelectric generating sets can be quickly determined which hydroelectric generating sets have ultra-low frequency oscillation problems by sorting multiple hydroelectric generating sets according to multiple oscillation energy values. Finally, the energy storage is used to suppress the ultra-low frequency oscillation of the hydroelectric generating set, which can effectively solve the coordination problem of the primary frequency modulation performance and the ultra-low frequency oscillation suppression of the hydroelectric generating set, and provides a new technical means for solving the ultra-low frequency oscillation problem.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of hydroelectric generating set operation, and particularly relates to a hydroelectric generating set ultra-low frequency oscillation suppression method, device, equipment and medium. BACKGROUND

[0002] The ultra-low frequency oscillation is usually caused by the primary frequency modulation rapid action of the speed regulation system of the hydroelectric generating set and the water hammer effect of the water turbine, and the traditional low frequency oscillation analysis method is no longer suitable for the ultra-low frequency oscillation. In the analysis of the ultra-low frequency oscillation, due to the long period and large amplitude change of the unit oscillation frequency, the electrical power cannot be directly used to replace the mechanical power in the accurate and quantitative analysis, and the more accurate method is to use the mechanical power for quantitative analysis.

[0003] However, the mechanical power of the generating set cannot be directly measured, and the mechanical power fitting value is generally calculated by measuring the data such as the rotating speed and electromagnetic power of the generator in engineering, but the boundary condition is usually limited to the case that the rotating speed does not change much. Further, the commonly used ultra-low frequency oscillation suppression measures reduce the primary frequency modulation capability of the hydroelectric generating set to a certain extent, which will weaken the system rapid frequency modulation capability, and therefore it is necessary to study the suppression measures that take into account the primary frequency modulation performance and the ultra-low frequency oscillation suppression effect. SUMMARY

[0004] Therefore, the present application provides a hydroelectric generating set ultra-low frequency oscillation suppression method, device, equipment and medium to solve the problems that the boundary condition is usually limited to the case that the rotating speed does not change much when the mechanical power fitting value is calculated, and the primary frequency modulation performance and the ultra-low frequency oscillation suppression effect cannot be taken into account when the mechanical power fitting value is used to analyze the ultra-low frequency oscillation of the unit.

[0005] In a first aspect, the present application provides a hydroelectric generating set ultra-low frequency oscillation suppression method, which comprises:

[0006] Obtaining rotor motion data sets of a plurality of hydroelectric generating sets; based on the rotor motion data sets, a plurality of oscillation energy values of the speed regulation system in the plurality of hydroelectric generating sets are obtained through a target mechanical power relationship and an oscillation energy relationship of the speed regulation controller, the target mechanical power relationship is used to fit the mechanical power of a wide range of rotating speed change rate; the plurality of hydroelectric generating sets are sorted and a target hydroelectric generating set in which the ultra-low frequency oscillation occurs is determined by using the plurality of oscillation energy values; and the ultra-low frequency oscillation suppression result is obtained by using an energy storage system to suppress the ultra-low frequency oscillation of the target hydroelectric generating set.

[0007] The method for suppressing ultra-low frequency oscillation of a hydroelectric generating set provided by the application comprises the following steps: firstly, obtaining rotor motion data sets of a plurality of hydroelectric generating sets, so as to comprehensively understand the operating states of the hydroelectric generating sets; secondly, fitting mechanical power of a wide range of speed change rates through a target mechanical power relationship, so as to more accurately represent the mechanical power of the hydroelectric generating set; thirdly, combining an oscillation energy relationship of a speed regulation controller to more accurately calculate the oscillation energy of the speed regulation system; fourthly, sorting the plurality of hydroelectric generating sets according to a plurality of oscillation energy values, so as to quickly determine which hydroelectric generating sets have the problem of ultra-low frequency oscillation, and provide a clear target for targeted suppression measures; and finally, suppressing the ultra-low frequency oscillation of the hydroelectric generating set by using energy storage, so as to effectively solve the coordination problem between the primary frequency modulation performance of the hydroelectric generating set and the suppression of ultra-low frequency oscillation, and provide a new technical means for solving the problem of ultra-low frequency oscillation.

[0008] In an alternative embodiment, the method further comprises:

[0009] obtaining an initial mechanical power relationship and a speed change rate of the hydroelectric generating set; determining a preset first distribution coefficient and a preset second distribution coefficient by using the speed change rate; and converting the initial mechanical power relationship based on the preset first distribution coefficient and the preset second distribution coefficient to obtain a target mechanical power relationship.

[0010] The method for suppressing ultra-low frequency oscillation of a hydroelectric generating set provided by the application can convert the initial mechanical power relationship by considering the speed change rate and introducing a distribution coefficient, so that the target mechanical power relationship can adapt to a wide range of speed change rates, so that the mechanical power can be effectively fitted under different operating conditions, and the mechanical power of the hydroelectric generating set can be more accurately represented.

[0011] In an alternative embodiment, obtaining an initial mechanical power relationship of the hydroelectric generating set comprises:

[0012] obtaining a rotor motion equation of the hydroelectric generating set; obtaining an electromagnetic power relationship and an electromagnetic torque relationship of the hydroelectric generating set; and inputting the electromagnetic power relationship and the electromagnetic torque relationship into the rotor motion equation of the hydroelectric generating set to obtain the initial mechanical power relationship of the hydroelectric generating set.

[0013] In an alternative embodiment, the energy storage system is used to suppress ultra-low frequency oscillation of the target hydroelectric generating set to obtain an ultra-low frequency oscillation suppression result, which comprises:

[0014] obtaining a target function and an initial active power output of the energy storage system; optimizing the initial active power output based on the target function and a set of energy storage power constraints by using a particle swarm algorithm to obtain a target active power output; and suppressing the ultra-low frequency oscillation of the target hydroelectric generating set by using the energy storage system based on the target active power output to obtain the ultra-low frequency oscillation suppression result.

[0015] The water turbine generator ultra-low frequency oscillation suppression method provided by the application can realize optimization of the active power output of the energy storage system through the particle swarm algorithm under the control of the target function and the constraint of the energy storage power constraint condition set, and then the target energy storage output meeting the suppression effect can be obtained through the optimization. Finally, the energy storage system can effectively suppress the ultra-low frequency oscillation of the target water turbine generator according to the target active power output, and effectively solve the coordination problem of the primary frequency modulation performance of the water turbine generator and the ultra-low frequency oscillation suppression.

[0016] In an optional implementation, the target function and the initial active power output of the energy storage system are obtained, including:

[0017] The frequency deviation of the target water turbine generator and the energy storage data set of the energy storage system are obtained; based on the frequency deviation, the initial active power output and the active power upper limit value of the energy storage system are determined; based on the energy storage data set, the energy storage capacity requirement of the energy storage system is calculated; and based on the energy storage capacity requirement and the active power upper limit value, the target function is determined.

[0018] The water turbine generator ultra-low frequency oscillation suppression method provided by the application can directly reflect the difference between the current operation state and the standard state of the water turbine generator through the frequency deviation of the target water turbine generator, and then determine the active power output of the energy storage system through the frequency deviation, so that the energy storage system can quickly respond to the change of the water turbine generator. Further, the target function can be determined in combination with the energy storage capacity requirement and the active power upper limit value, so that the target function can comprehensively consider the performance of the energy storage system and the demand of the water turbine generator, and provide support for subsequent optimization.

[0019] In an optional implementation, the energy storage power constraint condition set includes an energy storage maximum charging power constraint condition and an energy storage maximum discharging power constraint condition.

[0020] In a second aspect, the application provides a water turbine generator ultra-low frequency oscillation suppression device, which comprises:

[0021] A first obtaining module is configured to obtain a rotor motion data set of a plurality of water turbine generators; a calculation module is configured to obtain a plurality of oscillation energy values of speed regulation systems in the plurality of water turbine generators based on the rotor motion data set through a target mechanical power relationship and an oscillation energy relationship of a speed controller, the target mechanical power relationship being used for fitting mechanical power of a wide range of speed change rates; a processing module is configured to sort the plurality of water turbine generators by using the plurality of oscillation energy values and determine a target water turbine generator in which ultra-low frequency oscillation occurs; and a suppression module is configured to suppress the ultra-low frequency oscillation of the target water turbine generator by using an energy storage system to obtain an ultra-low frequency oscillation suppression result.

[0022] In a third aspect, the present application provides a computer device, comprising a memory and a processor, which are connected with each other in communication, the memory stores computer instructions, and the processor executes the water-turbine generator ultra-low frequency oscillation suppression method of the first aspect or any of the corresponding embodiments by executing the computer instructions.

[0023] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer instructions for making a computer execute the water-turbine generator ultra-low frequency oscillation suppression method of the first aspect or any of the corresponding embodiments.

[0024] In a fifth aspect, the present application provides a computer program product, which comprises computer instructions for making a computer execute the water-turbine generator ultra-low frequency oscillation suppression method of the first aspect or any of the corresponding embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed in the specific embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0026] Figure 1 Fig. 1 is a flowchart of a water-turbine generator ultra-low frequency oscillation suppression method according to an embodiment of the present application;

[0027] Figure 2 Fig. 2 is a flowchart of another water-turbine generator ultra-low frequency oscillation suppression method according to an embodiment of the present application;

[0028] Figure 3 Fig. 3 is a flowchart of still another water-turbine generator ultra-low frequency oscillation suppression method according to an embodiment of the present application;

[0029] Figure 4 Fig. 4 is a schematic diagram of an energy storage ultra-low frequency oscillation suppression measure according to an embodiment of the present application;

[0030] Figure 5 Fig. 5 is a structural block diagram of a water-turbine generator ultra-low frequency oscillation suppression device according to an embodiment of the present application;

[0031] Figure 6 Fig. 6 is a hardware structure schematic diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0032] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0033] The embodiment of the present application provides a hydroelectric generating unit ultra-low frequency oscillation suppression method, and the target mechanical power relationship formula suitable for mechanical power fitting of a wide range of speed change rates can more accurately characterize the mechanical power of the hydroelectric generating unit. Further, the hydroelectric generating unit ultra-low frequency oscillation is suppressed in combination with energy storage, and the coordination problem of the primary frequency modulation performance and the ultra-low frequency oscillation suppression of the hydroelectric generating unit is effectively solved.

[0034] According to the embodiment of the present application, a hydroelectric generating unit ultra-low frequency oscillation suppression method embodiment is provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0035] In the present embodiment, a hydroelectric generating unit ultra-low frequency oscillation suppression method is provided, which can be used in electronic devices such as computers, mobile phones, tablet computers, etc. Figure 1 The flowchart of the hydroelectric generating unit ultra-low frequency oscillation suppression method according to the embodiment of the present application is shown in FIG. 1, which includes the following steps: Figure 1

[0036] Step S101, obtaining rotor motion data sets of a plurality of hydroelectric generating units.

[0037] The rotor motion data set is used to characterize the rotor motion of the hydroelectric generating unit, which can include: the moment of inertia of the hydroelectric generating unit , the mechanical torque of the prime mover , the electromagnetic torque , the rotational angular velocity of the motor shaft , the synchronous angular velocity , and the equivalent damping and other coefficients.

[0038] Step S102, based on the rotor motion data set, the target mechanical power relationship formula and the oscillation energy relationship formula of the speed regulation controller are calculated to obtain a plurality of oscillation energy values of the speed regulation system in the plurality of hydroelectric generating units.

[0039] The target mechanical power relationship formula is used to fit the mechanical power of a wide range of speed change rates.

[0040] ​Further, the oscillation energy of the governor controller is related as shown in the following relation (1):

[0041] (1)

[0042] In the formula: represents the oscillation energy of the governor controller; represents the mechanical power variation of the generator set; represents the frequency variation; represents the mechanical power of the hydroelectric generator set; represents the frequency of the electric machine.

[0043] Specifically, the obtained rotor motion data set is input into the target mechanical power relation, and the corresponding mechanical power of the hydroelectric generator set can be fitted. .

[0044] Further, the oscillation energy value of the governor system in each hydroelectric generator set can be calculated in combination with the above relation (1).

[0045] Step S103, sort the plurality of hydroelectric generator sets by using the plurality of oscillation energy values and determine the target hydroelectric generator set in which the ultra-low frequency oscillation occurs.

[0046] First, the plurality of hydroelectric generator sets are sorted by using the size of the plurality of calculated oscillation energy values.

[0047] Secondly, it is judged whether the oscillation energy value is greater than zero.

[0048] Then, the positive and negative of the oscillation energy value reflects the damping property provided by the governor system. If the oscillation energy value is negative, i.e. the oscillation energy value is less than zero, it means that the damping provided by the governor system is positive damping, and in this case, the hydroelectric generator set is relatively stable, i.e. the hydroelectric generator set corresponding to the oscillation energy value does not occur ultra-low frequency oscillation.

[0049] Further, if the oscillation energy value is positive, i.e. the oscillation energy value is greater than zero, it means that the damping provided by the governor system is negative damping, i.e. the hydroelectric generator set corresponding to the oscillation energy value occurs ultra-low frequency oscillation.

[0050] Finally, one or more target hydroelectric generator sets in which the ultra-low frequency oscillation occurs can be screened according to the oscillation energy value, and then measures can be taken to suppress the ultra-low frequency oscillation by determining the target hydroelectric generator set.

[0051] Step S104, using the energy storage system to suppress the ultra-low frequency oscillation of the target hydroelectric generator set, and obtaining the ultra-low frequency oscillation suppression result.

[0052] Specifically, after determining the target hydroelectric generating unit, the energy storage system is connected to the power system in which the target hydroelectric generating unit is located. The energy storage system can be a battery energy storage, a super capacitor energy storage, or other types of energy storage devices.

[0053] Further, the corresponding energy storage system control strategy can be determined according to the operating state of the target hydroelectric generating unit and the characteristics of the ultra-low frequency oscillation. For example, the charging and discharging power of the energy storage system can be controlled based on signals such as frequency deviation and power change.

[0054] Further, the energy storage system can quickly respond to the ultra-low frequency oscillation suppression operation of the target hydroelectric generating unit according to the corresponding control strategy, and adjust the active power balance of the system by absorbing or releasing power, to provide additional damping for the hydroelectric generating unit, thereby suppressing the ultra-low frequency oscillation of the target hydroelectric generating unit.

[0055] The hydroelectric generating unit ultra-low frequency oscillation suppression method provided in the embodiment first acquires rotor motion data sets of multiple hydroelectric generating units, which can comprehensively understand the operating states of the hydroelectric generating units. Second, the mechanical power of a wide range of speed change rates can be fitted through the target mechanical power relationship, which can more accurately represent the mechanical power of the hydroelectric generating unit. Further, the oscillation energy of the speed regulation system can be more accurately calculated by combining the oscillation energy relationship of the speed regulation controller. Finally, the multiple hydroelectric generating units can be sorted according to the multiple oscillation energy values, which can quickly determine which hydroelectric generating units have ultra-low frequency oscillation problems, and provide a clear target for targeted suppression measures. Finally, the energy storage is used to suppress the ultra-low frequency oscillation of the hydroelectric generating unit, which can effectively solve the coordination problem of the primary frequency regulation performance and the ultra-low frequency oscillation suppression of the hydroelectric generating unit, and provide a new technical means for solving the ultra-low frequency oscillation problem.

[0056] In the embodiment, a hydroelectric generating unit ultra-low frequency oscillation suppression method is provided, which can be used in electronic devices such as computers, mobile phones, tablet computers, etc. Figure 2 is a flowchart of the hydroelectric generating unit ultra-low frequency oscillation suppression method according to the embodiment of the present application, as Figure 2 shown, the flowchart includes the following steps:

[0057] Step S201, acquiring rotor motion data sets of multiple hydroelectric generating units. For details, please refer to step S101 of the embodiment shown in Figure 1 , which will not be repeated here.

[0058] Step S202, acquiring an initial mechanical power relationship and a speed change rate of the hydroelectric generating unit.

[0059] Specifically, the initial mechanical power relationship is used to characterize the mechanical power of the hydroelectric generating set; the speed change rate is used to measure the speed change of the hydroelectric generating set, which can reflect the dynamic characteristics of the hydroelectric generating set in the running process. For example, when the hydroelectric generating set is affected by factors such as load change and speed regulation system adjustment, the speed will change, and the size of the speed change rate can reflect the response speed and stability of the system to these changes.

[0060] In some optional embodiments, the initial mechanical power relationship can be obtained by the following steps:

[0061] Step a1, obtaining the rotor motion equation of the hydroelectric generating set.

[0062] Step a2, obtaining the electromagnetic power relationship and the electromagnetic torque relationship of the hydroelectric generating set.

[0063] Step a3, inputting the electromagnetic power relationship and the electromagnetic torque relationship into the rotor motion equation of the hydroelectric generating set to obtain the initial mechanical power relationship of the hydroelectric generating set.

[0064] Specifically, the rotor motion equation of the hydroelectric generating set is shown in the following relationship (2):

[0065] (2)

[0066] Further, the electromagnetic power relationship of the hydroelectric generating set is represented by the following relationship (3):

[0067] (3)

[0068] In the formula: represents the electromagnetic power of the hydroelectric generating set.

[0069] Further, the electromagnetic torque relationship is represented by the following relationship (4):

[0070] (4)

[0071] Further, substituting the above relationships (3) and (4) into the above relationship (2), the initial mechanical power relationship of the hydroelectric generating set can be obtained, as shown in the following relationship (5):

[0072] (5)

[0073] Step S203, determining the preset first distribution coefficient and the preset second distribution coefficient by using the speed change rate.

[0074] Specifically, the preset first distribution coefficient and the preset second distribution coefficient varying trend is adapted to the characteristics of the speed change rate of the generator set, as shown in the following relationship (6):

[0075] (6)

[0076] In the formula: represents an adjustment factor, which is used to adjust the distribution coefficient according to the change of the rotating speed of the generator set adjust the distribution coefficient to adapt to different operating states; .

[0077] Further, a first distribution coefficient is preset represents the distribution coefficient when the rotating speed change rate is very small, when the rotating speed change rate is very small, when the rotating speed change rate exceeds a certain limit value, a second distribution coefficient is preset , the greater the rotating speed change rate, the closer to 1.

[0078] Step S204, based on the preset first distribution coefficient and the preset second distribution coefficient, the initial mechanical power relationship is converted to obtain the target mechanical power relationship.

[0079] Specifically, the comprehensive coefficient is determined in combination with the preset first distribution coefficient and the preset second distribution coefficient , as shown in the following relationship (7):

[0080] (7)

[0081] Further, the comprehensive coefficient characterizes the change characteristics of the wide range of rotating speed change rates.

[0082] Further, in combination with the obtained comprehensive coefficient , the initial mechanical power relationship shown in the above relationship (5) is converted to obtain the target mechanical power relationship, as shown in the following relationship (8):

[0083] (8)

[0084] Step S205, based on the rotor motion data set, through the target mechanical power relationship and the oscillation energy relationship of the speed regulation controller, a plurality of oscillation energy values of the speed regulation system in the plurality of hydroelectric generating sets are obtained. For details, please refer to step S102 of the embodiment shown in Figure 1 , which will not be repeated here.

[0085] Step S206, using the plurality of oscillation energy values to sort the plurality of hydroelectric generating sets and determine the target hydroelectric generating set that occurs ultra-low frequency oscillation. For details, please refer to step S103 of the embodiment shown in Figure 1 , which will not be repeated here. ​

[0086] Step S207: The energy storage system is used to suppress ultra-low frequency oscillations in the target hydropower unit, and the suppression results are obtained. For details, please refer to [link to details]. Figure 1 Step S104 of the illustrated embodiment will not be described again here.

[0087] The ultra-low frequency oscillation suppression method for hydropower units provided in this embodiment transforms the initial mechanical power relationship by considering the rate of change of rotational speed and introducing a distribution coefficient. This allows the target mechanical power relationship to adapt to a wide range of rotational speed changes, enabling effective fitting of mechanical power under different operating conditions and thus more accurately characterizing the mechanical power of the hydropower unit. Furthermore, combining this with the oscillation energy relationship of the speed controller allows for more accurate calculation of the oscillation energy of the speed control system. Finally, by sorting multiple hydropower units based on multiple oscillation energy values, it is possible to quickly identify which hydropower units have ultra-low frequency oscillation problems, providing a clear target for targeted suppression measures. Finally, utilizing energy storage to suppress ultra-low frequency oscillations in hydropower units effectively solves the coordination problem between the primary frequency regulation performance of hydropower units and ultra-low frequency oscillation suppression, and provides a new technical means to solve the ultra-low frequency oscillation problem.

[0088] This embodiment provides a method for suppressing ultra-low frequency oscillations in hydropower units, which can be used in electronic devices such as computers, mobile phones, and tablets. Figure 3 This is a flowchart of a method for suppressing ultra-low frequency oscillations in hydropower units according to an embodiment of the present invention, as follows: Figure 3 As shown, the process includes the following steps:

[0089] Step S301: Obtain rotor motion datasets from multiple hydropower units. For details, please refer to [link to relevant documentation]. Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0090] Step S302: Based on the rotor motion dataset, and through calculations using the target mechanical power relationship and the oscillation energy relationship of the speed controller, multiple oscillation energy values ​​of the speed control system within multiple hydropower units are obtained. For details, please refer to [link to relevant documentation]. Figure 1 Step S102 of the illustrated embodiment will not be described again here.

[0091] Step S303: Multiple hydropower units are sorted using multiple oscillation energy values ​​to determine the target hydropower unit experiencing ultra-low frequency oscillations. For details, please refer to [link to relevant documentation]. Figure 1 Step S103 of the illustrated embodiment will not be described again here.

[0092] Step S304: Use the energy storage system to suppress the ultra-low frequency oscillation of the target hydropower unit and obtain the ultra-low frequency oscillation suppression result.

[0093] Specifically, step S304 includes:

[0094] Step S3041: Obtain the objective function and the initial active power output of the energy storage system.

[0095] In some optional implementations, step S3041 above includes:

[0096] Step b1: Obtain the frequency deviation of the target hydropower unit and the energy storage dataset of the energy storage system.

[0097] The energy storage dataset can include the storage capacity of the energy storage device, the charging and discharging efficiency of the energy storage device, and the charging and discharging power of the energy storage device.

[0098] Step b2: Based on the frequency deviation, determine the initial active power output and the upper limit of active power output of the energy storage system.

[0099] Step b3: Calculate the energy storage capacity requirement of the energy storage system based on the energy storage dataset.

[0100] Step b4: Determine the objective function based on the energy storage capacity requirement and the upper limit of active power output.

[0101] Specifically, when the unit experiences ultra-low frequency oscillations, the energy storage adjusts its active power output according to the changes in the unit's frequency deviation, such as... Figure 4 As shown, when the frequency deviation is within the dead zone, the active power command of the energy storage system is zero; when the frequency deviation exceeds the positive dead zone, the energy storage absorbs power; when the frequency deviation exceeds the negative dead zone, the energy storage releases power. The expression for the active power output of the energy storage is shown in the following relationship (9):

[0102] (9)

[0103] In the formula: Indicates an active power command for energy storage; and This indicates the upper and lower limits of the control dead zone for energy storage to suppress ultra-low frequency oscillations; This represents the droop coefficient for suppressing ultra-low frequency oscillations in energy storage. and This indicates the upper and lower limits of the active power output of energy storage.

[0104] Furthermore, the energy storage capacity is shown in the following equation (10):

[0105] (10)

[0106] In the formula: express Storage capacity of real-time energy storage devices; express Storage capacity of real-time energy storage devices; Indicates the self-loss coefficient; Indicates the charging efficiency of energy storage devices; represents a discharge efficiency of the energy storage device; represents a charging power of the energy storage; represents a discharging power of the energy storage.

[0107] Further, the energy storage capacity requirement can be obtained, as shown in the following relation (11):

[0108] (11)

[0109] In the formula: represents an energy storage capacity requirement; represents an upper limit value of an energy storage state of charge; represents a lower limit value of an energy storage state of charge.

[0110] Further, when the energy storage participates in ultra-low frequency oscillation suppression of a hydroelectric generating set, the economic efficiency of the energy storage needs to be considered, and therefore the control strategy of the energy storage for suppressing oscillation needs to be optimized to meet the active power limit value of the energy storage and the minimum storage capacity of the energy storage, that is, the objective function is as shown in the following relation (12):

[0111] (12)

[0112] In step S3042, the initial active power is optimized based on the objective function and the set of energy storage power constraints by using a particle swarm algorithm to obtain a target active power.

[0113] The particle swarm algorithm (PSO) is a kind of optimization algorithm based on swarm intelligence, which searches for an optimal solution in a solution space by simulating the behavior of a bird flock foraging.

[0114] The set of energy storage power constraints includes an energy storage maximum charging power constraint and an energy storage maximum discharging power constraint, which are respectively shown in the following relations (13) and (14):

[0115]

[0116]

[0117] In the formula: represents a maximum limit value of the energy storage charging power; represents a maximum limit value of the energy storage discharging power.

[0118] Specifically, the energy storage active power output limit and the minimum energy storage capacity shown in the above relationship formula (12) are taken as the optimization objectives, the initial active power shown in the above relationship formula (9) is optimized under the constraints of the energy storage power constraint condition set shown in the above relationship formulas (13) and (14) by using the particle swarm algorithm until the energy storage output satisfying the suppression effect is obtained, and the optimization is stopped and the corresponding target active power is obtained.

[0119] In step S3043, based on the target active power, the energy storage system is used to suppress the ultra-low frequency oscillation of the target hydroelectric generating set, and an ultra-low frequency oscillation suppression result is obtained.

[0120] Specifically, based on the target active power, the energy storage system can intervene in the operating state of the hydroelectric generating set by adjusting its output power. When the hydroelectric generating set appears ultra-low frequency oscillation, the energy storage system can quickly respond and output corresponding active power according to the requirement of the target active power to offset the oscillation energy of the hydroelectric generating set.

[0121] For example, the energy storage system can realize ultra-low frequency oscillation suppression in the following ways:

[0122] (1) Power regulation: according to the indication of the target active power, the energy storage system can quickly adjust its output power to inject or absorb active power to the hydroelectric generating set to change the power balance state of the hydroelectric generating set, so as to suppress the ultra-low frequency oscillation.

[0123] (2) Energy storage and release: the energy storage system can store energy when the output power of the hydroelectric generating set is excessive and release energy when the output power of the hydroelectric generating set is insufficient to maintain the power balance of the system and reduce the occurrence of ultra-low frequency oscillation.

[0124] (3) Dynamic response: the energy storage system has fast dynamic response capability and can quickly respond at the moment of ultra-low frequency oscillation to provide timely active power support and effectively suppress the development of oscillation.

[0125] The water turbine generator ultra-low frequency oscillation suppression method provided in the embodiment can directly reflect the difference between the current operation state and the standard state of the target water turbine generator by obtaining the frequency deviation of the target water turbine generator, and then determine the active power output of the energy storage system through the frequency deviation, so that the energy storage system can quickly respond to the change of the water turbine generator. Further, the target function can be determined in combination with the energy storage capacity requirement and the active power upper limit value, so that the target function can comprehensively consider the performance of the energy storage system and the requirement of the water turbine generator. Further, the particle swarm algorithm can be used to optimize the active power output of the energy storage system under the control of the target function and the constraint of the energy storage power constraint condition set, and then the target energy storage output meeting the suppression effect can be obtained through the optimization. Finally, the energy storage system can effectively suppress the ultra-low frequency oscillation generated by the target water turbine generator according to the target active power output, and effectively solve the coordination problem of the primary frequency modulation performance of the water turbine generator and the ultra-low frequency oscillation suppression.

[0126] In the embodiment, a water turbine generator ultra-low frequency oscillation suppression device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware is also possible and contemplated.

[0127] The embodiment provides a water turbine generator ultra-low frequency oscillation suppression device, as shown in the Figure 5 The device comprises:

[0128] The first acquisition module 501 is configured to acquire rotor motion data sets of a plurality of water turbine generators.

[0129] The calculation module 502 is configured to obtain a plurality of oscillation energy values of the speed regulation system in the plurality of water turbine generators through target mechanical power relationship calculation and speed controller oscillation energy relationship calculation based on the rotor motion data sets. The target mechanical power relationship is used to fit the mechanical power of the wide range speed variation rate.

[0130] The processing module 503 is configured to sort the plurality of water turbine generators using the plurality of oscillation energy values and determine a target water turbine generator that generates ultra-low frequency oscillation.

[0131] The suppression module 504 is configured to suppress the ultra-low frequency oscillation of the target water turbine generator by using an energy storage system, and obtain an ultra-low frequency oscillation suppression result.

[0132] In some optional embodiments, the device further comprises:

[0133] The second acquisition module is configured to acquire an initial mechanical power relationship and a speed variation rate of the water turbine generator.

[0134] The determining module is configured to determine the preset first distribution coefficient and the preset second distribution coefficient by using the rotational speed change rate.

[0135] The converting module is configured to convert the initial mechanical power relationship based on the preset first distribution coefficient and the preset second distribution coefficient to obtain a target mechanical power relationship.

[0136] In some optional embodiments, the second obtaining module comprises:

[0137] The first obtaining submodule is configured to obtain a rotor motion equation of the hydroelectric generating set.

[0138] The second obtaining submodule is configured to obtain an electromagnetic power relationship and an electromagnetic torque relationship of the hydroelectric generating set.

[0139] The input submodule is configured to input the electromagnetic power relationship and the electromagnetic torque relationship into the rotor motion equation of the hydroelectric generating set to obtain an initial mechanical power relationship of the hydroelectric generating set.

[0140] In some optional embodiments, the suppressing module 504 comprises:

[0141] The third obtaining submodule is configured to obtain the target function and an initial active power output of the energy storage system.

[0142] The optimization submodule is configured to optimize the initial active power output based on the target function and the set of energy storage power constraints by using a particle swarm algorithm to obtain a target active power output.

[0143] The suppressing submodule is configured to perform ultra-low frequency oscillation suppression on the target hydroelectric generating set by using the energy storage system based on the target active power output to obtain an ultra-low frequency oscillation suppression result.

[0144] In some optional embodiments, the third obtaining submodule comprises:

[0145] The obtaining unit is configured to obtain a frequency deviation of the target hydroelectric generating set and an energy storage data set of the energy storage system.

[0146] The first determining unit is configured to determine an initial active power output and an active power upper limit value of the energy storage system based on the frequency deviation.

[0147] The calculating unit is configured to calculate an energy storage capacity requirement of the energy storage system based on the energy storage data set.

[0148] The second determining unit is configured to determine the target function based on the energy storage capacity requirement and the active power upper limit value.

[0149] In some optional embodiments, the set of energy storage power constraints in the obtaining unit comprises an energy storage maximum charging power constraint and an energy storage maximum discharging power constraint.

[0150] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0151] In this embodiment, the ultra-low frequency oscillation suppression device for hydropower units is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0152] This invention also provides a computer device having the above-described features. Figure 5 The image shows a low-frequency oscillation suppression device for hydroelectric generator units.

[0153] Please see Figure 6 , Figure 6 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 6 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 6 Take a processor 10 as an example.

[0154] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0155] The memory 20 stores instructions executable by at least one processor 10 to cause at least one processor 10 to perform the method shown in the above embodiments.

[0156] The memory 20 can include a program storage area and a data storage area. The program storage area can store an operating system, application programs required for at least one function, etc. The data storage area can store data created by the computer device, etc. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-transitory memory such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid state memory device. In some alternative embodiments, the memory 20 can optionally include memory that is remotely located with respect to the processor 10, and which can be connected to the computer device through a network. Examples of such networks include, but are not limited to, the Internet, an enterprise intranet, a local area network, a mobile communications network, and combinations thereof.

[0157] The memory 20 can include a volatile memory, such as a random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid state memory device. The memory 20 can also include an array of multi-state flash memory cells, which can be used to store data and / or instructions to implement the embodiments described herein.

[0158] The computer device also includes a communications interface 30 for communicating with other devices or communication networks.

[0159] The embodiments of the present application also provide a computer readable storage medium. The method according to the embodiments of the present application can be implemented in hardware, firmware, or as software code to be recorded in a storage medium, or originally stored in a remote storage medium or non-transitory machine readable storage medium downloaded through a network and stored in a local storage medium, so that the method described herein can be processed by such software running on a general purpose computer, a special purpose processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid state disk, etc. Further, the storage medium can also include a combination of the above-mentioned types of storage media. It can be understood that the computer, the processor, the microprocessor controller, or the programmable hardware includes a storage component that can store or receive software or computer code, which, when accessed and executed by the computer, the processor, or the hardware, implements the method shown in the above embodiments.

[0160] Part of the present application can be applied as a computer program product, for example, computer program instructions, when executed by a computer, through the operation of the computer, can invoke or provide the method and / or technical solutions according to the present application. Those skilled in the art should understand that the form of computer program instructions in computer readable medium includes but is not limited to source files, executable files, installation package files and the like, and accordingly, the way of computer program instructions executed by computer includes but is not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Here, the computer readable medium can be any available computer readable storage medium or communication medium accessible to the computer.

[0161] Although the embodiments of the present application are described in conjunction with the drawings, various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the present application, and such modifications and changes fall within the scope defined by the appended claims.

Claims

1. A method for suppressing ultra-low frequency oscillations in hydropower units, characterized in that, The method includes: Obtain rotor motion datasets from multiple hydropower units; Based on the rotor motion dataset, multiple oscillation energy values ​​of the speed control system within multiple hydropower units are obtained through calculations using the target mechanical power relationship and the oscillation energy relationship of the speed controller. The target mechanical power relationship is used to fit the mechanical power over a wide range of speed change rates. The multiple oscillation energy values ​​are used to sort the multiple hydropower units and determine the target hydropower unit that exhibits ultra-low frequency oscillation; The target hydropower unit was subjected to ultra-low frequency oscillation suppression using an energy storage system, and the ultra-low frequency oscillation suppression results were obtained. The method further includes: Obtain the initial mechanical power relationship and speed change rate of the hydroelectric generator unit; The preset first allocation coefficient and the preset second allocation coefficient are determined using the speed change rate; Based on the preset first allocation coefficient and the preset second allocation coefficient, the initial mechanical power relationship is transformed to obtain the target mechanical power relationship; The initial mechanical power relationship is expressed as follows: In the formula: This indicates the mechanical power of the hydroelectric generator unit; Indicates the motor frequency; Indicates the change in frequency; This represents the moment of inertia of the hydroelectric generator unit. Indicates equivalent damping; This indicates the electromagnetic power of the hydroelectric generator unit; The changing trends of the preset first allocation coefficient and the preset second allocation coefficient are adapted to the characteristics of the generator set speed change rate, and are expressed as follows: In the formula: This indicates the preset first allocation coefficient; This indicates a preset second allocation coefficient; This represents the adjustment factor, used to adjust the generator set speed according to changes in speed. Adjust the allocation coefficients to adapt to different operating conditions; The target mechanical power relationship is expressed as follows: In the formula: This represents the comprehensive coefficient.

2. The method according to claim 1, characterized in that, The initial mechanical power relationship of the hydropower unit is obtained, including: Obtain the rotor motion equation of the hydroelectric generator unit; Obtain the electromagnetic power and electromagnetic torque relationships of the hydroelectric generator unit; By inputting the electromagnetic power relationship and the electromagnetic torque relationship into the rotor motion equation of the hydroelectric generator, the initial mechanical power relationship of the hydroelectric generator is obtained.

3. The method according to claim 1, characterized in that, The target hydropower unit was subjected to ultra-low frequency oscillation suppression using an energy storage system, and the ultra-low frequency oscillation suppression results were obtained, including: Obtain the objective function and the initial active power output of the energy storage system; Based on the objective function and the energy storage power constraint set, the initial active power output is optimized using the particle swarm optimization algorithm to obtain the target active power output. Based on the target active power output, the energy storage system is used to suppress the ultra-low frequency oscillation of the target hydropower unit, and the ultra-low frequency oscillation suppression result is obtained.

4. The method according to claim 3, characterized in that, Obtaining the objective function and the initial active power output of the energy storage system includes: Obtain the frequency deviation of the target hydropower unit and the energy storage dataset of the energy storage system; Based on the frequency deviation, the initial active power output and the upper limit of active power output of the energy storage system are determined. Calculate the energy storage capacity requirement of the energy storage system based on the energy storage dataset; The objective function is determined based on the energy storage capacity requirement and the upper limit of active power output.

5. The method according to claim 3, characterized in that, The energy storage power constraint set includes the maximum charging power constraint and the maximum discharging power constraint.

6. A device for suppressing ultra-low frequency oscillations in hydropower units, characterized in that, The device includes: The first acquisition module is used to acquire rotor motion datasets from multiple hydropower units; The calculation module is used to calculate, based on the rotor motion dataset, multiple oscillation energy values ​​of the speed regulation system in multiple hydropower units through the target mechanical power relationship and the oscillation energy relationship of the speed controller. The target mechanical power relationship is used to fit the mechanical power of a wide range of speed change rates. The processing module is used to sort the multiple hydropower units using the multiple oscillation energy values ​​and determine the target hydropower unit that is experiencing ultra-low frequency oscillation; The suppression module is used to suppress ultra-low frequency oscillations of the target hydropower unit using an energy storage system, and to obtain the ultra-low frequency oscillation suppression result. The device further includes: The second acquisition module is used to acquire the initial mechanical power relationship and the rate of change of rotation speed of the hydropower unit; The determining module is used to determine a preset first allocation coefficient and a preset second allocation coefficient using the rotational speed change rate; The conversion module is used to convert the initial mechanical power relationship based on the preset first allocation coefficient and the preset second allocation coefficient to obtain the target mechanical power relationship. The initial mechanical power relationship is expressed as follows: In the formula: This indicates the mechanical power of the hydroelectric generator unit; Indicates the motor frequency; Indicates the change in frequency; This represents the moment of inertia of the hydroelectric generator unit. Indicates equivalent damping; This indicates the electromagnetic power of the hydroelectric generator unit; The changing trends of the preset first allocation coefficient and the preset second allocation coefficient are adapted to the characteristics of the generator set speed change rate, and are expressed as follows: In the formula: This indicates the preset first allocation coefficient; This indicates a preset second allocation coefficient; This represents the adjustment factor, used to adjust the generator set speed according to changes in speed. Adjust the allocation coefficients to adapt to different operating conditions; The target mechanical power relationship is expressed as follows: In the formula: This represents the comprehensive coefficient.

7. A computer device, characterized in that, include: The device includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the ultra-low frequency oscillation suppression method for hydropower units as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the method for suppressing ultra-low frequency oscillations of a hydropower unit as described in any one of claims 1 to 5.

9. A computer program product, characterized in that, Includes computer instructions for causing a computer to execute the method for suppressing ultra-low frequency oscillations in hydropower units as described in any one of claims 1 to 5.

Images