Reactive response optimization method, device and equipment for photovoltaic power station connected with grid through synchronous machine

Abstract

The invention provides a reactive power response optimization method, device and equipment for a photovoltaic power station connected with a grid through a synchronous machine. The reactive power response optimization method comprises the following steps: acquiring a conversion relation between a reactive power response optimization index and a reactive power response related parameter; the reactive response related parameters comprise photovoltaic station reactive power, synchronous machine reactive power, reactive power required by grid connection of the photovoltaic station, synchronous machine alternating current frequency and synchronous machine exciting current; establishing respective time sequences of the reactive response related parameters; based on the reactive response related parameters, determining influence factors of the reactive response related parameters at the next moment; based on each time sequence and the influence factor, determining a predicted value of a reactive power response related parameter at the next moment; performing normalization processing on each prediction value to obtain a normalized value; based on the normalized value, determining a predicted value of the reactive power response optimization index at the next moment; based on the predicted value of the reactive power response optimization index, reactive power output of the synchronous machine is controlled and adjusted, the reactive power response capability of the photovoltaic power station is improved, and the operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of grid connection control for new energy photovoltaic power stations, and particularly relates to a method, device, and equipment for optimizing the reactive power response of a photovoltaic power station connected to the grid via a synchronous machine. Background Art

[0002] With the continuous development and maturity of new energy technologies, the global energy system is gradually transforming towards environmental friendliness and sustainable development. New energy power stations not only reduce the grid's dependence on traditional fossil fuels but also become an important part of the grid's power supply.

[0003] However, a significant feature of the new power grid is the high proportion of power electronic devices connected. Although these devices have flexibility and rapidity in power form conversion and parameter adjustment, they also bring new challenges. The main problems include: the widespread application of new energy power electronic converters has led to a decline in the grid's frequency regulation ability and reactive power response ability. During the grid connection process of synchronous motors, when there is a reactive power response demand in the system, synchronous motors usually need to adjust the reactive power output by phase modulation. However, existing solutions cannot provide an effective reactive power response, which may lead to waste of reactive power output resources, reduced equipment utilization, increased line losses, and even problems such as damage to the security and stability of the power system. Summary of the Invention

[0004] The present invention provides a method, device, and equipment for optimizing the reactive power response of a photovoltaic power station connected to the grid via a synchronous machine to solve the technical problem of the inability to provide an effective reactive power response in the prior art.

[0005] On the one hand, the present invention provides a method for optimizing the reactive power response of a photovoltaic power station connected to the grid via a synchronous machine, including:

[0006] Obtaining the conversion relationship between the reactive power response optimization index and the reactive power response-related parameters; wherein, the reactive power response-related parameters include the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for grid connection of the photovoltaic power station, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine;

[0007] Establishing the time series of the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for grid connection of the photovoltaic power station, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine respectively;

[0008] Based on the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for grid connection of the photovoltaic power station, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine, determining the influencing factors of the reactive power response-related parameters at the next moment;

[0009] Based on each of the time series and the influencing factors, determining the predicted values of the reactive power response-related parameters at the next moment;

[0010] Normalize each of the predicted values to obtain normalized values;

[0011] Based on the normalized values, determine the predicted value of the reactive power response optimization index at the next moment;

[0012] Based on the predicted value of the reactive power response optimization index, control and adjust the reactive power output of the synchronous machine.

[0013] According to a reactive power response optimization method for a photovoltaic power station connected to the grid via a synchronous machine provided by the present invention, the conversion relationship is as shown in formula (1) below:

[0014]

[0015] The time series is as shown in formula (2) below:

[0016]

[0017] where S GS is the reactive power of the photovoltaic power station; S WC is the reactive power of the synchronous machine; S LH is the reactive power required for the photovoltaic power station to be connected to the grid; f HR is the AC frequency of the synchronous machine; I NT is the excitation current of the synchronous machine; T 1 , T 2 ,... T z ,..., T m are the moments at m fixed time intervals, where m is a natural number, m ∈ {1, 2, L}, z is the z-th moment, z is a natural number, and z ∈ {1, 2, L, m}; is the measured value of the reactive power of the photovoltaic power station at the moment of T z ; is the measured value of the reactive power of the synchronous machine at the moment of T z ; S GS,max and S GS,min are the maximum and minimum values of the measured values of the reactive power of the photovoltaic power station among the moments at these m fixed time intervals of T 1 , T 2 ,..., T z ,..., T m ; S WC,max and S WC,min are the maximum and minimum values of the measured values of the reactive power of the synchronous machine among the moments at these m fixed time intervals of T 1 , T 2 ,..., T z ,..., T m ; is the moment of T zMeasured value of reactive power required for grid connection of the PV power station at a moment; S LH,max And S LH,min Is T 1 , T 2 ,..., T z ,..., T m The maximum and minimum values of the measured values of the reactive power required for grid connection of the PV power station among the moments of these m fixed time intervals; Is T z Measured value of the AC frequency of the synchronous machine at a moment; f HR,max And f HR,min Is T 1 , T 2 ,..., T z ,..., T m The maximum and minimum values of the measured values of the AC frequency of the synchronous machine among the moments of these m fixed time intervals; Is T z Measured value of the excitation current of the synchronous machine at a moment; I NT,max And I NT,min Is T 1 , T 2 ,..., T z ,..., T m The maximum and minimum values of the measured values of the excitation current of the synchronous machine among the moments of these m fixed time intervals.

[0018] According to a method for optimizing the reactive power response of a PV power station connected to the grid via a synchronous machine provided by the present invention, the influence factor is as shown in the following formula (3):

[0019]

[0020] Wherein, The influence factor of the relevant parameters of the reactive power response of the PV power station connected to the grid via a synchronous machine on the relevant parameters of the reactive power response of the PV power station connected to the grid via a synchronous machine at the next moment.

[0021] According to a method for optimizing the reactive power response of a PV power station connected to the grid via a synchronous machine provided by the present invention, the predicted value of the relevant parameters of the reactive power response is as shown in the following formula (4):

[0022]

[0023] Wherein, Is T m+1 Predicted value of the reactive power of the PV power station at a moment; Is T m+1 Predicted value of the reactive power of the synchronous machine at a moment; Is T m+1 Predicted value of the reactive power required for grid connection of the PV power station at a moment; Is Tm+1 The predicted value of the AC frequency of the time synchronizer is T m+1 The predicted value of the excitation current of the time synchronizer

[0024] According to a reactive power response optimization method for a photovoltaic power station grid-connected via a synchronizer provided by the present invention, the formula for the normalization value is as shown in formula (5) below:

[0025]

[0026] wherein is T m+1 The normalization value of the predicted reactive power of the photovoltaic power station at time T is T m+1 The normalization value of the predicted reactive power of the synchronizer at time T is T m+1 The normalization value of the predicted reactive power required for grid connection of the photovoltaic power station at time T is T m+1 The normalization value of the predicted AC frequency of the synchronizer at time T is T m+1 The normalization value of the predicted excitation current of the synchronizer at time T

[0027] According to a reactive power response optimization method for a photovoltaic power station grid-connected via a synchronizer provided by the present invention, the predicted value of the reactive power response optimization index is as shown in formula (6) below:

[0028]

[0029] wherein is the predicted value of the reactive power response optimization index

[0030] According to a reactive power response optimization method for a photovoltaic power station grid-connected via a synchronizer provided by the present invention, based on the predicted value of the reactive power response optimization index, controlling and adjusting the reactive power output of the synchronizer includes:

[0031] Comparing the predicted value of the reactive power response optimization index with a preset threshold

[0032] When the predicted value of the reactive power response optimization index is less than or equal to the preset threshold, increasing the reactive power of the synchronizer

[0033] According to a reactive power response optimization method for a photovoltaic power station grid-connected via a synchronizer provided by the present invention, the preset threshold is 0.518

[0034] On the other hand, the present invention also provides a reactive power response optimization device for a photovoltaic power station grid-connected via a synchronizer, including:

[0035] An acquisition module acquires the conversion relationship between the reactive power response optimization index and the reactive power response-related parameters; wherein, the reactive power response-related parameters include the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for grid connection of the photovoltaic power station, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine.

[0036] A time series module establishes the time series of the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for grid connection of the photovoltaic power station, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine respectively.

[0037] An influence factor module determines the influence factors of the reactive power response-related parameters at the next moment based on the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for grid connection of the photovoltaic power station, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine.

[0038] A first prediction module determines the predicted values of the reactive power response-related parameters at the next moment based on each of the time series and the influence factors.

[0039] A normalization module performs normalization processing on each of the predicted values to obtain normalized values.

[0040] A second prediction module determines the predicted value of the reactive power response optimization index at the next moment based on the normalized values.

[0041] A control module controls and adjusts the reactive power output of the synchronous machine based on the predicted value of the reactive power response optimization index.

[0042] On the other hand, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the program, it implements any one of the above photovoltaic power station reactive power response optimization methods via synchronous machine grid connection.

[0043] The reactive power response optimization method, device and equipment for a photovoltaic power station interconnected to a synchronous machine provided by the present invention obtain the conversion relationship between the reactive power response optimization index and the reactive power response related parameters; establish the time series of the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for grid connection of the photovoltaic power station, the AC frequency of the synchronous machine and the excitation current of the synchronous machine; determine the influencing factors of the reactive power response related parameters at the next moment based on the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for grid connection of the photovoltaic power station, the AC frequency of the synchronous machine and the excitation current of the synchronous machine; determine the predicted values of the reactive power response related parameters at the next moment based on each time series and the influencing factors; perform normalization processing on each predicted value to obtain the normalized value; determine the predicted value of the reactive power response optimization index at the next moment based on the normalized value; and control and adjust the reactive power output of the synchronous machine based on the predicted value of the reactive power response optimization index. This embodiment realizes the improvement of the reactive power response ability of the photovoltaic power station, ensures the efficient and safe operation of the new energy photovoltaic power station, and effectively improves the operation efficiency of the photovoltaic power station interconnected to the synchronous machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0045] Figure 1 is a schematic flowchart of the reactive power response optimization method for a photovoltaic power station interconnected to a synchronous machine provided by an embodiment of the present invention;

[0046] Figure 2 is a schematic structural diagram of the reactive power response optimization device for a photovoltaic power station interconnected to a synchronous machine provided by an embodiment of the present invention;

[0047] Figure 3 is a schematic structural diagram of the electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] To make the objectives, technical solutions and advantages of the present invention clearer, the following clearly and completely describes the technical solutions in the present invention with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0049] Figure 1 is a schematic flowchart of the reactive power response optimization method for a photovoltaic power station interconnected to a synchronous machine provided by an embodiment of the present invention.

[0050] See Figure 1 , the reactive power response optimization method for a photovoltaic power station connected to the grid via a synchronous machine may include the following steps.

[0051] 101. Obtain the conversion relationship between the reactive power response optimization index and the reactive power response-related parameters; wherein, the reactive power response-related parameters include the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for the photovoltaic power station to be connected to the grid, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine.

[0052] 102. Establish the time series of the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for the photovoltaic power station to be connected to the grid, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine respectively.

[0053] The conversion relationship is shown in the following formula (1):

[0054]

[0055] The time series is shown in the following formula (2):

[0056]

[0057] Wherein, S GS is the reactive power of the photovoltaic power station; S WC is the reactive power of the synchronous machine; S LH is the reactive power required for the photovoltaic power station to be connected to the grid; f HR is the AC frequency of the synchronous machine; I NT is the excitation current of the synchronous machine; T 1 , T 2 ,... T z ,..., T m are the moments at m fixed time intervals, where m is a natural number, m ∈ {1, 2, L}, z is the z-th moment, z is a natural number, and z ∈ {1, 2, L, m}; is the measured value of the reactive power of the photovoltaic power station at the moment of T z ; is the measured value of the reactive power of the synchronous machine at the moment of T z ; S GS,max and S GS,min are the maximum and minimum values of the measured values of the reactive power of the photovoltaic power station at the moments of T 1 , T 2 ,..., T z ,..., T m among these m fixed time intervals; S WC,max and S WC,min are at the moments of T 1 , T 2 ,..., T z ,..., Tm The maximum and minimum values of the measured reactive power of the synchronous machine among the moments of these m fixed time intervals; is T z The measured reactive power required for the grid connection of the PV power station at the moment; S LH,max and S LH,min is T 1 , T 2 ,..., T z ,..., T m The maximum and minimum values of the measured reactive power required for the grid connection of the PV power station among the moments of these m fixed time intervals; is T z The measured AC frequency of the synchronous machine at the moment; f HR,max and f HR,min is T 1 , T 2 ,..., T z ,..., T m The maximum and minimum values of the measured AC frequency of the synchronous machine among the moments of these m fixed time intervals; is T z The measured excitation current of the synchronous machine at the moment; I NT,max and I NT,min is T 1 , T 2 ,..., T z ,..., T m The maximum and minimum values of the measured excitation current of the synchronous machine among the moments of these m fixed time intervals. The value of the fixed time interval can be set, for example, set to 5 minutes. The value of m can be set, for example, set to 6.

[0058] 103. Determine the influence factors of the reactive power response related parameters at the next moment based on the reactive power of the PV power station, the reactive power of the synchronous machine, the reactive power required for the grid connection of the PV power station, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine.

[0059] The influence factors are shown in the following formula (3):

[0060]

[0061] Among them, The influence factor of the reactive power response related parameters of the PV power station connected to the grid through the synchronous machine on the reactive power response related parameters of the PV power station connected to the grid through the synchronous machine at the next moment.

[0062] 104. Determine the predicted values of the reactive power response related parameters at the next moment based on each time series and the influence factors.

[0063] The predicted values of the reactive power response related parameters are shown in the following formula (4):

[0064]

[0065] wherein, is the predicted value of the reactive power of the PV power station at time T; m+1 At time T, the predicted value of the reactive power of the PV power station; is the predicted value of the reactive power of the synchronous machine at time T; m+1 At time T, the predicted value of the reactive power of the synchronous machine; is the predicted value of the reactive power required for grid connection of the PV power station at time T; m+1 At time T, the predicted value of the reactive power required for grid connection of the PV power station; is the predicted value of the AC frequency of the synchronous machine at time T; m+1 At time T, the predicted value of the AC frequency of the synchronous machine; is the predicted value of the excitation current of the synchronous machine at time T. The next moment refers to the next moment of the current moment. For example, m represents the current moment, and m + 1 represents the next moment. m+1 At time T, the predicted value of the excitation current of the synchronous machine. The next moment refers to the next moment of the current moment. For example, m represents the current moment, and m + 1 represents the next moment.

[0066] 105. Normalize each predicted value to obtain a normalized value.

[0067] The formula for the normalized value is shown in formula (5) below:

[0068]

[0069] wherein, is the normalized value of the predicted value of the reactive power of the PV power station at time T; m+1 At time T, the normalized value of the predicted value of the reactive power of the PV power station; is the normalized value of the predicted value of the reactive power of the synchronous machine at time T; m+1 At time T, the normalized value of the predicted value of the reactive power of the synchronous machine; is the normalized value of the predicted value of the reactive power required for grid connection of the PV power station at time T; m+1 At time T, the normalized value of the predicted value of the reactive power required for grid connection of the PV power station; is the normalized value of the predicted value of the AC frequency of the synchronous machine at time T; m+1 At time T, the normalized value of the predicted value of the AC frequency of the synchronous machine; is the normalized value of the predicted value of the excitation current of the synchronous machine at time T. m+1 At time T, the normalized value of the predicted value of the excitation current of the synchronous machine.

[0070] 106. Based on the normalized value, determine the predicted value of the reactive power response optimization index for the next moment.

[0071] The predicted value of the reactive power response optimization index is shown in formula (6) below:

[0072]

[0073] wherein, is the predicted value of the reactive power response optimization index.

[0074] 107. Based on the predicted value of the reactive power response optimization index, control and adjust the reactive power output of the synchronous machine.

[0075] In this embodiment, a conversion relationship between a reactive power response optimization index and reactive power response related parameters is obtained; time series of the reactive power of a photovoltaic power station, the reactive power of a synchronous machine, the reactive power required for grid connection of the photovoltaic power station, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine are established; based on the reactive power of the photovoltaic power station, the reactive power of the synchronous machine, the reactive power required for grid connection of the photovoltaic power station, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine, an influence factor of the reactive power response related parameters at the next moment is determined; based on each time series and the influence factor, a predicted value of the reactive power response related parameters at the next moment is determined; the predicted values are normalized to obtain normalized values; based on the normalized values, a predicted value of the reactive power response optimization index at the next moment is determined; based on the predicted value of the reactive power response optimization index, the reactive power output of the synchronous machine is controlled and adjusted. This embodiment realizes the improvement of the reactive power response ability of the photovoltaic power station, ensures the efficient and safe operation of the new energy photovoltaic power station, and effectively improves the operation efficiency of the photovoltaic power station connected to the grid via the synchronous machine.

[0076] In one embodiment of this specification, controlling and adjusting the reactive power output of the synchronous machine based on the predicted value of the reactive power response optimization index includes:

[0077] Comparing the predicted value of the reactive power response optimization index with a preset threshold;

[0078] When the predicted value of the reactive power response optimization index is less than or equal to the preset threshold, increase the reactive power of the synchronous machine.

[0079] In this embodiment, when the predicted value of the reactive power response optimization index is less than or equal to the preset threshold, it is considered that the reactive power response ability of the photovoltaic power station connected to the grid via the synchronous machine deteriorates at the next moment. At this time, the reactive power of the synchronous machine should be increased to improve the reactive power response ability. When the predicted value of the reactive power response optimization index is greater than the preset threshold, it is considered that the reactive power response ability of the photovoltaic power station is normal at the next moment, and there is no need to adjust the reactive power of the synchronous machine.

[0080] In one embodiment of this specification, the preset threshold can be any value between 0.5 and 0.55, and 0.518 can be preferably selected.

[0081] The present invention will be introduced in more detail below. For example, the fixed time interval is taken as 5 minutes and the number of readings is 6, that is, m = 6. T 1 ,T 2 ,...T z ,...,T m , that is, it can be T 1 ,T 2 ,T 3 ,T 4 ,T 5 ,T 6 .

[0082] Among them; T 1 , T 2 , T 3 , T 4 , T 5 , T 6 are the moments at 6 fixed time intervals, z is the z-th moment, z is a natural number, and z ∈ {1, 2, …, 6}; is the measured value of the reactive power of the PV power station at the moment of T z ; is the measured value of the reactive power of the synchronous machine at the moment of T z ; S GS,max and S GS,min are the maximum and minimum values of the measured values of the reactive power of the PV power station among the moments at these 6 fixed time intervals 1 , T 2 , T 3 , T 4 , T 5 , T 6 ; S WC,max and S WC,min are the maximum and minimum values of the measured values of the reactive power of the synchronous machine among the moments at these 6 fixed time intervals 1 , T 2 , T 3 , T 4 , T 5 , T 6 ; is the measured value of the reactive power required for grid connection of the PV power station at the moment of T z ; S LH,max and S LH,min are the maximum and minimum values of the measured values of the reactive power required for grid connection among the moments at these 6 fixed time intervals 1 , T 2 , T 3 , T 4 , T 5 , T 6 ; is the measured value of the AC frequency of the synchronous machine at the moment of T z ; f HR,max and f HR,min are the maximum and minimum values of the measured values of the AC frequency of the synchronous machine among the moments at these 6 fixed time intervals 1 , T 2 , T 3 , T 4 , T 5 , T 6 ; is the measured value of the excitation current of the synchronous machine at the moment of T z ; I NT,max and I NT,min are 1,T 2 ,T 3 ,T 4 ,T 5 ,T 6 The maximum and minimum measured values of the excitation current of the synchronous machine among the moments of these 6 fixed time intervals.

[0083] Then, substituting the above parameters into formula (1), it can be as shown in formula (7) below:

[0084]

[0085] Substituting the above parameters into formula (2), it can be as shown in formula (8) below:

[0086]

[0087] The calculation result of the above formula (3) can include

[0088] When m is 6, the calculation result of formula (4) is as shown in formula (9) below:

[0089]

[0090] Among them, is the predicted value of the reactive power of the PV power station at time T 7 ; is the predicted value of the reactive power of the synchronous machine at time T 7 ; is the predicted value of the reactive power required for grid connection of the PV power station at time T 7 ; is the predicted value of the AC frequency of the synchronous machine at time T 7 ; is the predicted value of the excitation current of the synchronous machine at time T 7 . T 7 is the next moment.

[0091] When m is 6, the result of formula (5) is as shown in formula (10) below:

[0092]

[0093] Among them, is the normalized value of the predicted reactive power of the PV power station at time T 7 ; is the normalized value of the predicted reactive power of the synchronous machine at time T 7 ; is the normalized value of the predicted reactive power required for grid connection of the PV power station at time T 7 ; is T7 Normalized value of the predicted AC frequency of the time synchronizer is T 7 Normalized value of the predicted excitation current of the time synchronizer

[0094] When m is 6, the result of formula (6) is shown in formula (11) as follows:

[0095]

[0096] is the predicted value of the reactive power response optimization index of the PV power station

[0097] Based on the same general inventive concept, the present invention also protects a reactive power response optimization device for a PV power station connected to the grid via a synchronizer, as Figure 2 shown Figure 2 is a schematic structural diagram of the reactive power response optimization device for a PV power station connected to the grid via a synchronizer provided by an embodiment of the present invention. The reactive power response optimization device for a PV power station connected to the grid via a synchronizer provided by the present invention will be described below. The reactive power response optimization device for a PV power station connected to the grid via a synchronizer described below can be mutually referred to the reactive power response optimization method for a PV power station connected to the grid via a synchronizer described above

[0098] The reactive power response optimization device for a PV power station connected to the grid via a synchronizer includes an acquisition module 201, a time series module 202, an influence factor module 203, a first prediction module 204, a normalization module 205, a second prediction module 206, and a control module 207

[0099] The acquisition module 201 acquires the conversion relationship between the reactive power response optimization index and the reactive power response related parameters; wherein, the reactive power response related parameters include the reactive power of the PV station, the reactive power of the synchronizer, the reactive power required for the PV power station to be connected to the grid, the AC frequency of the synchronizer, and the excitation current of the synchronizer

[0100] The time series module 202 establishes the time series of the reactive power of the PV station, the reactive power of the synchronizer, the reactive power required for the PV power station to be connected to the grid, the AC frequency of the synchronizer, and the excitation current of the synchronizer respectively

[0101] The influence factor module 203 determines the influence factors of the reactive power response related parameters at the next moment based on the reactive power of the PV station, the reactive power of the synchronizer, the reactive power required for the PV power station to be connected to the grid, the AC frequency of the synchronizer, and the excitation current of the synchronizer

[0102] The first prediction module 204 determines the predicted values of the reactive power response related parameters at the next moment based on each of the time series and the influence factors

[0103] The normalization module 205 performs normalization processing on each of the predicted values to obtain normalized values;

[0104] The second prediction module 206 determines a predicted value of the reactive power response optimization index at the next moment based on the normalized values;

[0105] The control module 207 controls and adjusts the reactive power output of the synchronous machine based on the predicted value of the reactive power response optimization index.

[0106] Figure 3 It is a schematic structural diagram of the electronic device provided by the embodiment of the present invention. As Figure 3 shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340. Among them, the processor 310, the communication interface 320, and the memory 330 complete mutual communication through the communication bus 340. The processor 310 can call the logical instructions in the memory 330 to execute the reactive power response optimization method of the photovoltaic power station connected to the grid through a synchronous machine.

[0107] In addition, when the logical instructions in the above-mentioned memory 330 are implemented in the form of a software functional unit and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0108] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the reactive power response optimization method of the photovoltaic power station connected to the grid through a synchronous machine provided by the above-mentioned various methods.

[0109] On yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the reactive power response optimization method of the photovoltaic power station connected to the grid through a synchronous machine provided by the above-mentioned various methods.

[0110] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative work.

[0111] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0112] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or equivalently replace some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing reactive power response of a photovoltaic power station connected to the grid via a synchronous machine, characterized in that: include: Obtaining a conversion relationship between a reactive response optimization index and reactive response related parameters; wherein the reactive response related parameters include the reactive power of the photovoltaic station, the reactive power of the synchronous machine, the reactive power required for the photovoltaic power station to be connected to the grid, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine; Establishing respective time series of the photovoltaic station reactive power, the synchronous machine reactive power, the reactive power required for the photovoltaic power station to be connected to the grid, the synchronous machine AC frequency and the synchronous machine excitation current; Determine the influencing factors of the reactive response related parameters at the next moment based on the reactive power of the photovoltaic station, the reactive power of the synchronous machine, the reactive power required for the photovoltaic power station to be connected to the grid, the AC frequency of the synchronous machine and the excitation current of the synchronous machine; Determine the predicted value of the reactive response related parameter at the next moment based on each of the time series and the influencing factors; Normalizing each of the predicted values ​​to obtain a normalized value; Based on the normalized value, determining a predicted value of a reactive response optimization index at a next moment; Based on the predicted value of the reactive response optimization index, the reactive power output of the synchronous machine is controlled and adjusted.

2. The method for optimizing reactive power response of a photovoltaic power station connected to the grid by a synchronous machine according to claim 1, characterized in that: The conversion relationship is shown in the following formula (1): The time series is shown in the following formula (2): Among them, S GS is the reactive power of the photovoltaic station; S WC is the synchronous machine reactive power; S LH The reactive power required for the photovoltaic power station to be connected to the grid; f HR is the synchronous machine AC frequency; I NT is the synchronous machine excitation current; T1, T2, ...T z ,...,T m is a fixed time interval, where m is a natural number, z is the zth moment, z is a natural number, and z∈{1,2,L,m}; T z The measured value of reactive power of the photovoltaic power station at the moment; T z The measured value of the reactive power of the synchronous machine; S GS,max and S GS,min For T1, T2, ..., T z ,...,T m The maximum and minimum values ​​of the reactive power measured by the photovoltaic power station at a fixed time interval; S WC,max and S WC,min For T1, T2, ..., T z ,...,T m The maximum and minimum values ​​of the measured values ​​of the reactive power of the synchronous machine at fixed time intervals; T z The measured value of reactive power required for the photovoltaic power station to be connected to the grid at the moment; S LH,max and S LH,min For T1, T2, ..., T z ,...,T m The maximum and minimum values ​​of the reactive power required for the photovoltaic power station to be connected to the grid at fixed time intervals; T z The measured value of the AC frequency of the time synchronizer; f HR,max and f HR,min For T1, T2, ..., T z ,...,T m The maximum and minimum values ​​of the measured values ​​of the synchronous machine AC frequency at fixed time intervals; T z The measured value of the synchronous machine excitation current; I NT,max and I NT,min For T1, T2, ..., T z ,...,T m The maximum and minimum values ​​of the synchronous machine excitation current measured at fixed time intervals.

3. The method for optimizing reactive power response of a photovoltaic power station connected to the grid by a synchronous machine according to claim 2, characterized in that: The impact factor is shown in the following formula (3): in, The influence factors of the reactive response related parameters of the photovoltaic power station connected to the grid via the synchronous machine on the reactive response related parameters of the photovoltaic power station connected to the grid via the synchronous machine at the next moment.

4. The method for optimizing reactive power response of a photovoltaic power station connected to the grid by a synchronous machine according to claim 3, characterized in that: The predicted values ​​of reactive response related parameters are shown in the following formula (4): in, T m+1 The predicted value of reactive power of the photovoltaic power station at the moment; T m+1 Predicted value of reactive power of synchronous machine at any moment; T m+1 The predicted value of reactive power required for the photovoltaic power station to be connected to the grid at the moment; T m+1 Predicted value of AC frequency of time synchronization machine; T m+1 Predicted value of synchronous machine excitation current.

5. The method for optimizing reactive power response of a photovoltaic power station connected to the grid via a synchronous machine according to claim 4, characterized in that: The formula of the normalized value is shown in the following formula (5): in, T m+1 Normalized value of reactive power prediction value of photovoltaic power station at the moment; T m+1 Normalized value of the reactive power prediction value of the time synchronization machine; T m+1 The normalized value of the reactive power prediction value required for the photovoltaic power station to be connected to the grid at the moment; T m+1 Normalized value of the predicted value of the AC frequency of the time synchronization machine; T m+1 Normalized value of the predicted value of the synchronous machine excitation current.

6. The method for optimizing reactive power response of a photovoltaic power station connected to the grid via a synchronous machine according to claim 5, characterized in that: The predicted value of reactive response optimization index is shown in the following formula (6): in, is the predicted value of the reactive response optimization index.

7. The method for optimizing reactive power response of a photovoltaic power station connected to the grid via a synchronous machine according to claim 1, characterized in that: Based on the predicted value of the reactive response optimization index, controlling and adjusting the reactive power output of the synchronous machine includes: Comparing the predicted value of the reactive power response optimization index with a preset threshold value; When the predicted value of the reactive response optimization index is less than or equal to a preset threshold, the reactive power of the synchronous machine is increased.

8. The method for optimizing reactive power response of a photovoltaic power station connected to the grid via a synchronous machine according to claim 7, characterized in that: The preset threshold is 0.

518.

9. A reactive power response optimization device for a photovoltaic power station connected to the grid via a synchronous machine, characterized in that: include: An acquisition module is used to acquire a conversion relationship between a reactive response optimization index and reactive response related parameters; wherein the reactive response related parameters include the reactive power of a photovoltaic station, the reactive power of a synchronous machine, the reactive power required for the photovoltaic power station to be connected to the grid, the AC frequency of the synchronous machine, and the excitation current of the synchronous machine; A time series module is used to establish the time series of the reactive power of the photovoltaic station, the reactive power of the synchronous machine, the reactive power required for the photovoltaic power station to be connected to the grid, the AC frequency of the synchronous machine and the excitation current of the synchronous machine; An influence factor module determines the influence factors of the reactive response related parameters at the next moment based on the reactive power of the photovoltaic station, the reactive power of the synchronous machine, the reactive power required for the photovoltaic power station to be connected to the grid, the AC frequency of the synchronous machine and the excitation current of the synchronous machine; A first prediction module, based on each of the time series and the influencing factors, determines a predicted value of a reactive response related parameter at a next moment; A normalization module, performing normalization processing on each of the predicted values ​​to obtain a normalized value; A second prediction module determines a predicted value of a reactive response optimization index at a next moment based on the normalized value; The control module controls and adjusts the reactive power output of the synchronous machine based on the predicted value of the reactive response optimization index.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for optimizing reactive response of a photovoltaic power station connected to the grid via a synchronous machine as described in any one of claims 1 to 8 is implemented.

Images