Parallel unit-level modeling method and device for real-time simulation of large-scale photovoltaic power plants
Through parallelized unit-level modeling method and Ward equivalent thinking, a parallel simulation architecture of large-scale photovoltaic power stations is built, which solves the problem of rapid real-time simulation of photovoltaic power stations and realizes efficient simulation calculations.
Patent Information
- Application Number
- CN202310829536.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-06
- Publication Date
- 2025-02-18
- Estimated Expiration
- 2043-07-06
AI Technical Summary
Fast real-time simulation of large-scale photovoltaic power plants is difficult to achieve. The existing technology simulation models have problems such as insufficient internal information of the unit and incomplete control interfaces, which cannot meet the simulation accuracy requirements.
Using parallelized unit-level modeling method, the unit-level parallel simulation architecture and the station-level parallel simulation architecture of the target large-scale photovoltaic power station are constructed. Through the idea of Ward equivalent, the internal node information is reflected on the external nodes to realize the photovoltaic power generation unit port. Parallel solution of the model.
It effectively reduces the computing resource loss caused by serial simulation, improves the real-time simulation efficiency of large-scale photovoltaic power plants, and meets the needs of fast real-time simulation.
Smart Images
Figure CN116865336B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of electric power simulation, and in particular to a parallelized unit-level modeling method and device for real-time simulation of large-scale photovoltaic power stations. Background Art
[0002] In a large-scale photovoltaic power station, a large number of photovoltaic power generation units are connected in parallel to form a photovoltaic power generation cluster, and the current signals of the ports of each photovoltaic power generation cluster are sent out through short transmission lines. Due to the complex structure of large-scale photovoltaic power stations, if all modules and units in the structure of large-scale photovoltaic power stations are simulated, the simulation analysis and calculation will take a long time, which is difficult to meet the needs of fast real-time simulation of large-scale photovoltaic power stations. In related technologies, a multi-machine equivalent model of "replacing more with less" is used to perform real-time simulation of photovoltaic power stations. However, the resulting simulation model has problems such as insufficient internal unit information and incomplete control interface, which cannot meet the simulation accuracy requirements. Summary of the invention
[0003] The present invention provides a parallelized unit-level modeling method and device for real-time simulation of a large-scale photovoltaic power station, solving the technical problem of how to achieve fast real-time simulation of a large-scale photovoltaic power station.
[0004] A first aspect of the present invention provides a parallel unit-level modeling method for real-time simulation of a large-scale photovoltaic power station, comprising:
[0005] Construct a unit-level parallel simulation architecture of a target large-scale photovoltaic power station; the unit-level parallel simulation architecture includes multiple photovoltaic power generation cluster equivalent modules, and the internal calculations between the photovoltaic power generation cluster equivalent modules are solved in parallel; each photovoltaic power generation cluster equivalent module, driven by a control signal, generates a unit port voltage signal based on the station outlet voltage solution, and obtains a port current signal by solving the unit port voltage signal through each photovoltaic power generation unit port model therein, and aggregates each port current signal to obtain a cluster port current signal; the photovoltaic power generation unit port model reflects the internal node information on the external node based on the idea of Ward equivalence;
[0006] Construct a site-level parallel simulation architecture of the target large-scale photovoltaic power station; the site-level parallel simulation architecture includes a total input module, the unit-level parallel simulation architecture and an overall system network solution module connected in sequence; the total input module is used to send the control signal and the site outlet voltage to the unit-level parallel simulation architecture; the overall system network solution module is used to collect and output the cluster port current signal of each photovoltaic power generation cluster equivalent module.
[0007] According to an achievable manner of the first aspect of the present invention, the idea of Ward equivalence based on which the internal node information is reflected on the external node includes:
[0008] Through the idea of Ward equivalence, the voltage of the internal node in the port characteristic expression of the photovoltaic power generation unit is eliminated to obtain the external node information expression;
[0009] The port characteristic expression of the photovoltaic power generation unit is:
[0010]
[0011] In the formula, I EX represents the injected current of the external node, V EX Represents the voltage of the external node, V IN represents the voltage of the internal node, J EX Represents the outflow current from the internal current source of the photovoltaic power generation unit to the external node, J IN represents the outflow current from the internal current source of the photovoltaic power generation unit to the internal node, Y 11 represents the self-admittance of the external node, Y 22 represents the self-admittance of the internal node, Y 12 and Y 21 They are the mutual admittances of external nodes and internal nodes;
[0012] The external node information expression is:
[0013] I EX =G EQ V EX +J EQ
[0014]
[0015] In the formula, G EQ represents the equivalent conductance matrix corresponding to the photovoltaic power generation unit port model, J EQ Represents the external node equivalent injection current source corresponding to the photovoltaic power generation unit port model.
[0016] According to an achievable manner of the first aspect of the present invention, the unit-level parallel simulation architecture of the target large-scale photovoltaic power station is constructed, including:
[0017] Based on the topological structure of the target large-scale photovoltaic power station, constructing a photovoltaic power generation unit equivalent model of each photovoltaic power generation cluster equivalent module;
[0018] Constructing a photovoltaic power generation unit port model corresponding to each photovoltaic power generation unit equivalent model;
[0019] Construct a distribution unit and a collection unit for each of the photovoltaic power generation cluster equivalent modules; the distribution unit is used to generate a unit port voltage signal based on the station outlet voltage solution under the drive of the control signal and send it to each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module; the collection unit is used to collect the port current signals of each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module and send them to the overall system network solution module.
[0020] According to an achievable manner of the first aspect of the present invention, the step of constructing a photovoltaic power generation unit port model corresponding to each photovoltaic power generation unit equivalent model includes:
[0021] A port model decompression unit, an internal information updating unit and a model compression unit are constructed for each of the photovoltaic power generation unit port models; the port model decompression unit is used to obtain the unit port voltage solved in the previous step, and calculate all node voltages inside the corresponding photovoltaic power generation unit equivalent model; the internal information updating unit is used to use the node voltage to solve the historical current source of the equipment including capacitors, inductors and photovoltaic arrays in parallel; the model compression unit is used to calculate the equivalent admittance and injection current source corresponding to the photovoltaic power generation unit port model.
[0022] According to an achievable manner of the first aspect of the present invention, the step of constructing a photovoltaic power generation unit equivalent model of each photovoltaic power generation cluster equivalent module includes:
[0023] Based on the controlled source equivalent principle of the switch function, the power electronic equipment with the switch device as the core in the equivalent model of the photovoltaic power generation unit is constructed;
[0024] And / or, utilizing the invariance of port voltage and current between simulation steps, constructing a Norton equivalent circuit of a photovoltaic array in an equivalent model of a photovoltaic power generation unit.
[0025] According to an achievable manner of the first aspect of the present invention, the method further includes:
[0026] The unit-level parallel simulation architecture is optimized, including:
[0027] Determine and eliminate unnecessary nodes of the equivalent model of each photovoltaic power generation unit.
[0028] According to an achievable manner of the first aspect of the present invention, the method is implemented based on an RTDS platform or FPGA hardware;
[0029] When the method is implemented based on the RTDS platform, multi-core CPU simulation is used to achieve hardware parallelism between different racks and between different cores in the same rack;
[0030] When the method is implemented based on FPGA hardware, each module in the unit-level parallel simulation architecture and the station-level parallel simulation architecture is used as a sub-function, and a top-level scheduling module is constructed as an interface for the corresponding FPGA program to interact with the outside; the top-level scheduling module is directly associated with each external interface, serves as a data interaction interface between each module, and schedules the execution logic order of each module. The second aspect of the present invention provides a parallel unit-level modeling device for real-time simulation of a large-scale photovoltaic power station, comprising:
[0031] The first construction module is used to construct a unit-level parallel simulation architecture of a target large-scale photovoltaic power station; the unit-level parallel simulation architecture includes multiple photovoltaic power generation cluster equivalent modules, and the internal calculations between the photovoltaic power generation cluster equivalent modules are solved in parallel; each photovoltaic power generation cluster equivalent module, driven by a control signal, generates a unit port voltage signal based on the station outlet voltage solution, and obtains a port current signal by solving the unit port voltage signal through each photovoltaic power generation unit port model therein, and aggregates each port current signal to obtain a cluster port current signal; the photovoltaic power generation unit port model reflects the internal node information on the external node based on the idea of Ward equivalence;
[0032] The second construction module is used to construct a site-level parallel simulation architecture of the target large-scale photovoltaic power station; the site-level parallel simulation architecture includes a total input module, the unit-level parallel simulation architecture and an overall system network solution module connected in sequence; the total input module is used to send the control signal and the site outlet voltage to the unit-level parallel simulation architecture; the overall system network solution module is used to collect and output the cluster port current signal of each photovoltaic power generation cluster equivalent module.
[0033] According to an achievable manner of the second aspect of the present invention, the idea of Ward equivalence based on which the internal node information is reflected on the external node includes:
[0034] Through the idea of Ward equivalence, the voltage of the internal node in the port characteristic expression of the photovoltaic power generation unit is eliminated to obtain the external node information expression;
[0035] The port characteristic expression of the photovoltaic power generation unit is:
[0036]
[0037] In the formula, I EX represents the injected current of the external node, V EX Represents the voltage of the external node, V IN represents the voltage of the internal node, J EX Represents the outflow current from the internal current source of the photovoltaic power generation unit to the external node, J INrepresents the outflow current from the internal current source of the photovoltaic power generation unit to the internal node, Y 11 represents the self-admittance of the external node, Y 22 represents the self-admittance of the internal node, Y 12 and Y 21 They are the mutual admittances of external nodes and internal nodes;
[0038] The external node information expression is:
[0039] I EX =G EQ V EX +J EQ
[0040]
[0041] In the formula, G EQ represents the equivalent conductance matrix corresponding to the photovoltaic power generation unit port model, J EQ Represents the external node equivalent injection current source corresponding to the photovoltaic power generation unit port model.
[0042] According to an achievable manner of the second aspect of the present invention, the first building block includes:
[0043] A first construction unit is used to construct a photovoltaic power generation unit equivalent model of each photovoltaic power generation cluster equivalent module based on the topological structure of the target large-scale photovoltaic power station;
[0044] A second construction unit is used to construct a photovoltaic power generation unit port model corresponding to each photovoltaic power generation unit equivalent model;
[0045] The third construction unit is used to construct the distribution unit and the aggregation unit of each of the photovoltaic power generation cluster equivalent modules; the distribution unit is used to generate a unit port voltage signal based on the station outlet voltage solution under the drive of the control signal and send it down to each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module; the aggregation unit is used to aggregate the port current signals of each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module and send them to the overall system network solution module.
[0046] According to an achievable manner of the second aspect of the present invention, the second construction unit is specifically used for:
[0047] A port model decompression unit, an internal information updating unit and a model compression unit are constructed for each of the photovoltaic power generation unit port models; the port model decompression unit is used to obtain the unit port voltage solved in the previous step, and calculate all node voltages inside the corresponding photovoltaic power generation unit equivalent model; the internal information updating unit is used to use the node voltage to solve the historical current source of the equipment including capacitors, inductors and photovoltaic arrays in parallel; the model compression unit is used to calculate the equivalent admittance and injection current source corresponding to the photovoltaic power generation unit port model.
[0048] According to an achievable manner of the second aspect of the present invention, the first construction unit is specifically used for:
[0049] Based on the controlled source equivalent principle of the switch function, the power electronic equipment with the switch device as the core in the equivalent model of the photovoltaic power generation unit is constructed;
[0050] And / or, utilizing the invariance of port voltage and current between simulation steps, constructing a Norton equivalent circuit of a photovoltaic array in an equivalent model of a photovoltaic power generation unit.
[0051] According to an achievable manner of the second aspect of the present invention, the device further includes:
[0052] An optimization module, used for optimizing the unit-level parallel simulation architecture, comprises:
[0053] Determine and eliminate unnecessary nodes of the equivalent model of each photovoltaic power generation unit.
[0054] According to an achievable manner of the second aspect of the present invention, the device implements parallel unit-level modeling of real-time simulation of large-scale photovoltaic power plants based on an RTDS platform or FPGA hardware.
[0055] A third aspect of the present invention provides a parallel unit-level modeling device for real-time simulation of a large-scale photovoltaic power station, comprising:
[0056] A memory for storing instructions; wherein the instructions are used to implement the parallelized unit-level modeling method for real-time simulation of a large-scale photovoltaic power station as described in any of the above implementation methods;
[0057] A processor is used to execute instructions in the memory.
[0058] A fourth aspect of the present invention is a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the parallelized unit-level modeling method for real-time simulation of a large-scale photovoltaic power station as described in any of the above-mentioned methods.
[0059] It can be seen from the above technical solutions that the present invention has the following advantages:
[0060] The present invention constructs a unit-level parallel simulation architecture of a target large-scale photovoltaic power station; the unit-level parallel simulation architecture includes a plurality of photovoltaic power generation cluster equivalent modules, and the internal calculations between the photovoltaic power generation cluster equivalent modules are solved in parallel; each photovoltaic power generation cluster equivalent module, driven by a control signal, generates a unit port voltage signal based on the station outlet voltage solution, solves the unit port voltage signal through each photovoltaic power generation unit port model therein to obtain a port current signal, and aggregates each port current signal to obtain a cluster port current signal; the photovoltaic power generation unit port model reflects the internal node information on the external node based on the idea of Ward equivalence; constructing a station-level parallel simulation architecture includes a total input module connected in sequence, the unit-level parallel simulation architecture and an overall system network solution module; the present invention realizes parallel solution between clusters, and the internal calculations between the equivalent modules of each photovoltaic power generation cluster are solved in parallel, which can effectively reduce the loss of computing resources caused by serial simulation, and the photovoltaic power generation unit port model reflects the internal node information on the external node based on the idea of Ward equivalence, which reduces the model complexity and can effectively improve the real-time simulation efficiency of large-scale photovoltaic power stations as a whole. BRIEF DESCRIPTION OF THE DRAWINGS
[0061] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0062] Figure 1 A flowchart of a parallelized unit-level modeling method for real-time simulation of a large-scale photovoltaic power station provided by an optional embodiment of the present invention;
[0063] Figure 2 An optional embodiment of the present invention provides a Figure 1 A schematic diagram of the operation logic of a field-level parallel simulation architecture of a target large-scale photovoltaic power station constructed by the method shown;
[0064] Figure 3 A schematic diagram of a photovoltaic power generation unit port model provided for an optional embodiment of the present invention;
[0065] Figure 4 A schematic diagram of the operation logic of a photovoltaic power generation unit port model of a unit-level parallel simulation architecture provided by an optional embodiment of the present invention;
[0066] Figure 5 A schematic diagram of a simulation process for fast-changing update of electrical variables and slow-changing correction of electrical parameters of an overall photovoltaic array provided by an optional embodiment of the present invention;
[0067] Figure 6 An optional embodiment of the present invention is provided for implementing Figure 1 Schematic diagram of RTDS unit-level simulation flow of the method shown;
[0068] Figure 7 An optional embodiment of the present invention is provided for implementing Figure 1 Schematic diagram of FPGA unit-level simulation flow of the method shown;
[0069] Figure 8 A structural connection block diagram of a parallelized unit-level modeling device for real-time simulation of a large-scale photovoltaic power station provided by an optional embodiment of the present invention.
[0070] Reference numerals:
[0071] 1-first building block; 2-second building block. DETAILED DESCRIPTION
[0072] The embodiments of the present invention provide a parallelized unit-level modeling method and device for real-time simulation of a large-scale photovoltaic power station, which are used to solve the technical problem of how to achieve fast real-time simulation of a large-scale photovoltaic power station.
[0073] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0074] The present invention provides a parallel unit-level modeling method for real-time simulation of a large-scale photovoltaic power station.
[0075] See also Figure 1 , Figure 1 A flow chart of a parallelized unit-level modeling method for real-time simulation of a large-scale photovoltaic power station provided by an embodiment of the present invention is shown.
[0076] An embodiment of the present invention provides a parallel unit-level modeling method for real-time simulation of a large-scale photovoltaic power station, comprising:
[0077] Step S1, constructing a unit-level parallel simulation architecture of a target large-scale photovoltaic power station; the unit-level parallel simulation architecture includes multiple photovoltaic power generation cluster equivalent modules, and the internal calculations between the photovoltaic power generation cluster equivalent modules are solved in parallel; each photovoltaic power generation cluster equivalent module, driven by a control signal, generates a unit port voltage signal based on the station outlet voltage solution, and obtains a port current signal by solving the unit port voltage signal through each photovoltaic power generation unit port model therein, and aggregates each port current signal to obtain a cluster port current signal; the photovoltaic power generation unit port model reflects the internal node information on the external node based on the idea of Ward equivalence;
[0078] Step S2, constructing a site-level parallel simulation architecture of the target large-scale photovoltaic power station; the site-level parallel simulation architecture includes a total input module, the unit-level parallel simulation architecture and an overall system network solution module connected in sequence; the total input module is used to send the control signal and the site outlet voltage to the unit-level parallel simulation architecture; the overall system network solution module is used to collect and output the cluster port current signal of each photovoltaic power generation cluster equivalent module.
[0079] In one achievable manner, the unit-level parallel simulation architecture of the target large-scale photovoltaic power station is constructed, including:
[0080] Based on the topological structure of the target large-scale photovoltaic power station, constructing a photovoltaic power generation unit equivalent model of each photovoltaic power generation cluster equivalent module;
[0081] Constructing a photovoltaic power generation unit port model corresponding to each photovoltaic power generation unit equivalent model;
[0082] Construct a distribution unit and a collection unit for each of the photovoltaic power generation cluster equivalent modules; the distribution unit is used to generate a unit port voltage signal based on the station outlet voltage solution under the drive of the control signal and send it to each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module; the collection unit is used to collect the port current signals of each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module and send them to the overall system network solution module.
[0083] Based on the method in the embodiment of the present invention, the operation logic of the field-level parallel simulation architecture of the target large-scale photovoltaic power station can be as follows: Figure 2 As shown. The operation logic specifically includes: sending control signals and station outlet voltage, sending unit port voltage signals, collecting unit port current signals and cluster port current signals. Based on this operation logic, the overall system can be solved. For the internal units of the cluster, the internal information of each unit can be reversed in parallel based on the same port voltage of the photovoltaic power generation unit. Finally, the currents between units and clusters are superimposed and output to form a "total-divided-total" station-level parallel simulation architecture.
[0084] In one achievable manner, the idea of Ward equivalence based on which the internal node information is reflected on the external node includes:
[0085] Through the idea of Ward equivalence, the voltage of the internal node in the port characteristic expression of the photovoltaic power generation unit is eliminated to obtain the external node information expression;
[0086] The port characteristic expression of the photovoltaic power generation unit is:
[0087]
[0088] In the formula, I EX represents the injected current of the external node, V EX Represents the voltage of the external node, V IN represents the voltage of the internal node, J EX Represents the outflow current from the internal current source of the photovoltaic power generation unit to the external node, J IN represents the outflow current from the internal current source of the photovoltaic power generation unit to the internal node, Y 11 represents the self-admittance of the external node, Y 22 represents the self-admittance of the internal node, Y 12 and Y 21 They are the mutual admittances of external nodes and internal nodes;
[0089] The external node information expression is:
[0090] I EX =G EQ V EX +J EQ
[0091]
[0092] In the formula, G EQ represents the equivalent conductance matrix corresponding to the photovoltaic power generation unit port model, J EQ Represents the external node equivalent injection current source corresponding to the photovoltaic power generation unit port model.
[0093] In the embodiment of the present invention, the internal nodes are eliminated through the idea of Ward equivalence, that is, the information of the external nodes is used to represent the internal node information, which reduces the complexity of the model and can effectively improve the real-time simulation efficiency of large-scale photovoltaic power stations as a whole.
[0094] In one achievable manner, the step of constructing a photovoltaic power generation unit port model corresponding to each photovoltaic power generation unit equivalent model includes:
[0095] A port model decompression unit, an internal information updating unit and a model compression unit are constructed for each of the photovoltaic power generation unit port models; the port model decompression unit is used to obtain the unit port voltage solved in the previous step, and calculate all node voltages inside the corresponding photovoltaic power generation unit equivalent model; the internal information updating unit is used to use the node voltage to solve the historical current source of the equipment including capacitors, inductors and photovoltaic arrays in parallel; the model compression unit is used to calculate the equivalent admittance and injection current source corresponding to the photovoltaic power generation unit port model.
[0096] The operation logic diagram of the photovoltaic power generation unit port model of the unit-level parallel simulation architecture is as follows: Figure 4 As shown in the figure, it is divided into a total-split-to-total structure of "port model decompression", "internal information update" and "overall model compression". The results output by the model compression unit are collected and sent to the overall system network solution module for "overall network solution". This is explained in detail below.
[0097] After the photovoltaic power generation unit equivalent model is connected to the photovoltaic power generation unit port model and solved, the voltage V of the external node can be obtained. EX and node injection current I EX The voltage V of the internal electrical node can be obtained by inversely solving the following formula: IN :
[0098] V IN =-Y 22 -1 Y 21 V EX -Y 22 -1 J IN
[0099] Where V IN Represents the voltage of the internal node, V EX Represents the voltage of the external node, Y 22 represents the self-admittance of the internal node, Y 21 is the mutual admittance between external nodes and internal nodes;
[0100] The unit-level parallel simulation first obtains the unit port voltage of the previous step-length network solution, calculates all the node voltages inside the photovoltaic power generation unit according to the above formula, realizes "port model decompression", and then uses the node voltage to solve the historical current source of capacitors, inductors, photovoltaic arrays and other devices in parallel to realize "internal information update";
[0101] According to the external node information expression, the equivalent admittance and injected current source of the port model are calculated to achieve "overall model compression"; finally, the port model is connected to the system network solution to complete the calculation of the photovoltaic power generation unit of the current step. The "compressed" port model reduces the dimension of the node admittance matrix connected to the network solution and reduces the computing resource loss caused by the inversion of the high-dimensional matrix.
[0102] By "decompressing" the port model, real-time monitoring and control of all nodes in the equivalent model of the photovoltaic power generation unit can be achieved.
[0103] The specific meaning of the external node information expression is as follows:
[0104]
[0105] In the formula, g A , g B , g C is the three-phase to ground admittance, g AB , g BC , g AC is the mutual admittance between the three phases ABC, j A 、j B 、j C It is equivalent to injecting current source into the external node.
[0106] According to the above formula, the photovoltaic power generation unit port model is as follows Figure 3 shown.
[0107] In an achievable manner, the step of constructing a photovoltaic power generation unit equivalent model of each photovoltaic power generation cluster equivalent module includes:
[0108] Based on the controlled source equivalent principle of the switch function, the power electronic equipment with the switch device as the core in the equivalent model of the photovoltaic power generation unit is constructed;
[0109] And / or, utilizing the invariance of port voltage and current between simulation steps, constructing a Norton equivalent circuit of a photovoltaic array in an equivalent model of a photovoltaic power generation unit.
[0110] In the embodiments of the present invention, for power electronic devices such as converters with switching devices as the core, the controlled source equivalent principle based on the switching function is used to construct them, which can achieve circuit decoupling and improve parallelism while retaining the device port characteristics.
[0111] The following is an explanation of a two-level VSC (voltage source converter) converter. Ignoring the dead zone control, at any instant, only one switch group of the upper and lower bridge arms of each phase is turned on, and there is no situation where the switch groups of the upper and lower bridge arms are turned on / off at the same time. Therefore, the following equation is satisfied between the switch groups of the upper and lower bridge arms of each phase:
[0112] sip +s in =1, i∈{a,b,c}
[0113] The phase switching function is defined as:
[0114] s i =s ip =1-s in , i∈{a,b,c}
[0115] Where, the switching function s ip 、s in , respectively represent the conduction state of the switch group composed of the IGBT anti-parallel diode corresponding to each bridge arm, the subscript i (i = a, b, c) represents the phase sequence, the subscript p represents the upper bridge arm switch, and n represents the lower bridge arm switch. When the value of the switch function is 1, it means the switch is on, and when the value of the switch function is 0, it means the switch is off.
[0116] Since the ports of the photovoltaic array are usually connected in parallel with large capacitors for voltage stabilization and are essentially batteries with complex volt-ampere characteristic curves, the port current change rate is limited. Therefore, in this embodiment, the Norton equivalent circuit of the photovoltaic array is obtained by utilizing the invariance of the port voltage and current between simulation steps.
[0117] The voltage and current expressions of the photovoltaic array port output are:
[0118]
[0119] In the formula, i PV (t) represents the output current of the photovoltaic array at time t, ΔT is the simulation step length, v PV (t-ΔT) represents the port voltage at time t-ΔT, i PV (t-ΔT) represents the output current of the photovoltaic array at time t-ΔT, I 0 Reverse saturation current, C 1 , C 2 is the proportionality coefficient, I ph Represents the bypass resistor current of the photovoltaic array equivalent circuit, R s Represents the series resistance of the photovoltaic array equivalent circuit, v D (t-ΔT) is the voltage of the photovoltaic cell diode at time t-ΔT;
[0120] Since the ports of the photovoltaic array will be connected in parallel with large capacitors, the port voltage will not change suddenly, and the photovoltaic array is essentially a battery with a complex VA (volt-ampere) characteristic curve, and the port current change rate is limited. Therefore, the above equation can be discretized into the Norton equivalent circuit form by using the invariance of the port voltage and current between simulation steps;
[0121] In order to reduce resource consumption, a recursive method can be used to reduce the computational complexity. The difference between the output current at time t-ΔT and time t can be obtained as follows:
[0122]
[0123] In the formula, v D (t-2ΔT) represents the voltage of the photovoltaic cell diode at time t-2ΔT, ΔT is the simulation step length, v D (t-ΔT) represents the voltage of the photovoltaic cell diode at time t-ΔT, i PV (t) represents the output current of the photovoltaic array at time t, i PV (t-ΔT) represents the output current of the photovoltaic array at time t-ΔT, I 0 Reverse saturation current, C 1 , C 2 is the proportionality coefficient, I 0 I 0 Represents the reverse saturation current;
[0124] Let v D (t-ΔT)=v D (t-2ΔT0+Δv D (t-ΔT), where Δv D (t-ΔT) is the voltage increment of the photovoltaic cell diode, and the formula is:
[0125]
[0126] The recursive expression of the VA characteristic of the photovoltaic array is:
[0127]
[0128] Expand the above formula to the third order and get the formula:
[0129]
[0130] The slow-changing correction of circuit parameters is different from the fast-changing update of electrical variables. Circuit parameter correction needs to be recalculated based on the original formula, which makes the overall calculation more complicated and requires more computing resources. Using the large and small step simulation environment provided by RTDS (real-time digital simulation system), the complex calculation of circuit parameter correction can be placed under the main simulation step, making it easier to calculate parameters and historical values. The simulation process of the fast-changing update of electrical variables and the slow-changing correction of electrical parameters of the entire photovoltaic array is as follows: Figure 5 The simulation process of electrical variable fast change includes: precalculation of parameters and historical source initial values; port voltage v PV Get; calculate Δv D; Determine whether the port voltage is equal to the calibration voltage; if the port voltage is equal to the calibration voltage, calibrate the parameters and historical values; update the current source i PV The simulation process of electrical parameter slow change correction includes: environmental variable acquisition; port voltage v PV Acquisition; calibration of parameters and historical values; output of port voltage corresponding to calibration; output of parameters and historical values after calibration.
[0131] As a specific implementation method, Figure 5 The simulation process can be divided into the following steps.
[0132] 1) Preprocessing: For fast-changing updates, it is necessary to read the circuit parameters and the historical current source values stored in the previous step length; for slow-changing corrections, it is necessary to read the environmental variables of the current step length.
[0133] 2) Port voltage acquisition: that is, reading the PV array port voltage value obtained by the current step measurement, and calculating the port voltage of a single PV module according to the number of series-parallel modules.
[0134] 3) Calculation of voltage increment and calibration value: For fast-changing updates, the voltage increment Δv needs to be calculated based on the stored historical voltage value. D For slow-changing correction, the accurate historical values and environmental variables are calculated based on the environmental parameters at a larger step size using the voltage and current expressions output by the above photovoltaic array ports.
[0135] 4) Historical value correction: When the iterative port voltage under the small step size satisfies the port voltage taken during the large step size calibration, the precise historical value calculated under the large step size is returned to the small step size.
[0136] 5) Current source update: Use the calibrated accurate historical values and environmental parameters in small steps to update the current source i required for the next step length calculation PV .
[0137] In one implementation, the method further includes:
[0138] The unit-level parallel simulation architecture is optimized, including:
[0139] Determine and eliminate unnecessary nodes of the equivalent model of each photovoltaic power generation unit.
[0140] Among them, the determination of non-essential nodes can be analyzed according to actual conditions.
[0141] The overall simulation process of large-scale photovoltaic power plants can be implemented using the RTDS platform or FPGA hardware;
[0142] When the method is implemented based on the RTDS platform, multi-core CPU simulation is used to achieve hardware parallelism between different racks and between different cores in the same rack;
[0143] When the method is implemented based on FPGA hardware, each module in the unit-level parallel simulation architecture and the site-level parallel simulation architecture is used as a sub-function, and a top-level scheduling module is constructed as an interface for the corresponding FPGA program to interact with the outside; the top-level scheduling module is directly associated with each external interface, serves as a data interaction interface between modules, and schedules the execution logic order of each module.
[0144] Take the RTDS platform as an example to implement Figure 1 The RTDS unit-level simulation process of the method shown is as follows Figure 6 As shown, including: port voltage V EX Get the port current I EX Obtain; inverse solve the internal key node voltage, including the LCL port node voltage V LCL Calculate the transformer terminal node voltage V trans Calculate the sum of the VSC (voltage source converter) AC side port node voltage V VSC Obtain; monitor important node variables and update internal current sources, including LCL equivalent current source J LCL Update, transformer equivalent current source J trans Update, VSC AC side equivalent current source J VSC Find; solve the overall equivalent model J EQ , G EQ ; Overall network solution; and, at the VSC AC side port node voltage V VSC After the calculation, the overall DC circuit is updated.
[0145] Specifically, the port voltage V EX Get the port current I EX When obtaining, it can be obtained directly by measurement;
[0146] Reverse solve the internal key node voltage, that is, solve the port node voltage of internal devices such as filters, transformers, VSCs, etc. on the AC side by using the following formula:
[0147] V IN =-Y 22 -1 Y 21 V EX -Y 22 -1 J IN
[0148] Where V IN Represents the voltage of the internal node, V EXRepresents the voltage of the external node, Y 22 represents the self-admittance of the internal node, Y 21 is the mutual admittance between external nodes and internal nodes;
[0149] When updating the internal current source, for the AC side, the node voltage solved in the above steps can be used to update the internal current source, and for the DC side, the solved VSC AC side electrical quantity is fed back to the DC side current source in the form of a controlled source;
[0150] When performing port model compression solution, the "port model compression" method corresponding to the external node information expression and its specific meaning formula is used to solve the equivalent port admittance and equivalent current source value;
[0151] For the overall network solution, after obtaining the injected current source and node admittance matrix of each node, the network solution can be performed to obtain the voltage value of each node. Among them, the AC side network solution uses the EMTP solver that comes with RTDS, and the DC side solution is embedded in the model in a built-in form and is part of the entire model. Therefore, for the external network, the model only reflects a small number of nodes on the AC side.
[0152] The logic implemented in the RTDS simulation environment is as follows: In the station-level simulation, the control system calculation and network solution need to occupy cores separately, and the photovoltaic power generation cluster can be allocated to different cores in different racks for parallel processing, thereby realizing the parallel simulation architecture at the station level; for unit-level parallel simulation, due to the limitations of RTDS, the DC overall circuit solution update process can be processed in parallel with the overall system network solution in the custom model tool, but it cannot be parallelized with the overall AC circuit solution of the photovoltaic power generation unit, which to a certain extent realizes the unit-level simulation architecture.
[0153] On this basis, FPGA can be further used for further optimization to achieve Figure 1 The FPGA unit-level simulation process of the method shown is as follows Figure 7 As shown, including: for the station-level simulation architecture, the simulation process includes the sending of overall control signals and electrical signals; parallel solution of unit models; and cluster port current signal aggregation; for the unit-level simulation architecture, the simulation process includes: port model decompression; internal information update; and model compression.
[0154] The core of FPGA unit-level simulation is the parallel or pipeline processing of computing loads. The corresponding implementation logic is as follows: At the site-level parallel simulation level, similar to the RTDS processing method, parallel or pipelines between photovoltaic power generation clusters can be constructed. The former has a higher degree of parallelism and can achieve full parallelism between photovoltaic power generation clusters, but it requires relatively more computing resources; the latter achieves the effect of greatly expanding the scale of data processing by only adding a small amount of delay by pipeline data. In theory, only one set of reused resources is needed to complete the simulation. At the unit-level parallel simulation level, since FPGA can control the data processing process at the computing level, it can achieve full parallelism between each solution update process by expanding resources, thereby maximizing the simulation efficiency.
[0155] The present invention also provides a parallel unit-level modeling device for real-time simulation of large-scale photovoltaic power plants, which can be used to execute the parallel unit-level modeling method for real-time simulation of large-scale photovoltaic power plants described in any of the above embodiments of the present invention.
[0156] See also Figure 8 , Figure 8 A structural connection block diagram of a parallel unit-level modeling device for real-time simulation of a large-scale photovoltaic power station provided by an embodiment of the present invention is shown.
[0157] An embodiment of the present invention provides a parallel unit-level modeling device for real-time simulation of a large-scale photovoltaic power station, comprising:
[0158] The first construction module 1 is used to construct a unit-level parallel simulation architecture of a target large-scale photovoltaic power station; the unit-level parallel simulation architecture includes multiple photovoltaic power generation cluster equivalent modules, and the internal calculations between the photovoltaic power generation cluster equivalent modules are solved in parallel; each photovoltaic power generation cluster equivalent module, driven by a control signal, generates a unit port voltage signal based on the station outlet voltage solution, and obtains a port current signal by solving the unit port voltage signal through each photovoltaic power generation unit port model therein, and aggregates each port current signal to obtain a cluster port current signal; the photovoltaic power generation unit port model reflects the internal node information on the external node based on the idea of Ward equivalence;
[0159] The second construction module 2 is used to construct a site-level parallel simulation architecture of the target large-scale photovoltaic power station; the site-level parallel simulation architecture includes a total input module, the unit-level parallel simulation architecture and an overall system network solution module connected in sequence; the total input module is used to send the control signal and the site outlet voltage to the unit-level parallel simulation architecture; the overall system network solution module is used to collect and output the cluster port current signal of each photovoltaic power generation cluster equivalent module.
[0160] In one achievable manner, the idea of Ward equivalence based on which the internal node information is reflected on the external node includes:
[0161] Through the idea of Ward equivalence, the voltage of the internal node in the port characteristic expression of the photovoltaic power generation unit is eliminated to obtain the external node information expression;
[0162] The port characteristic expression of the photovoltaic power generation unit is:
[0163]
[0164] In the formula, I EX represents the injected current of the external node, V EX Represents the voltage of the external node, V IN represents the voltage of the internal node, J EX Represents the outflow current from the internal current source of the photovoltaic power generation unit to the external node, J IN represents the outflow current from the internal current source of the photovoltaic power generation unit to the internal node, Y 11 represents the self-admittance of the external node, Y 22 represents the self-admittance of the internal node, Y 12 and Y 21 They are the mutual admittances of external nodes and internal nodes;
[0165] The external node information expression is:
[0166] I EX =G EQ V EX +J EQ
[0167]
[0168] In the formula, G EQ represents the equivalent conductance matrix corresponding to the photovoltaic power generation unit port model, J EQ Represents the external node equivalent injection current source corresponding to the photovoltaic power generation unit port model.
[0169] In one achievable manner, the first building module 1 includes:
[0170] A first construction unit is used to construct a photovoltaic power generation unit equivalent model of each photovoltaic power generation cluster equivalent module based on the topological structure of the target large-scale photovoltaic power station;
[0171] A second construction unit is used to construct a photovoltaic power generation unit port model corresponding to each photovoltaic power generation unit equivalent model;
[0172] The third construction unit is used to construct the distribution unit and the aggregation unit of each of the photovoltaic power generation cluster equivalent modules; the distribution unit is used to generate a unit port voltage signal based on the station outlet voltage solution under the drive of the control signal and send it down to each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module; the aggregation unit is used to aggregate the port current signals of each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module and send them to the overall system network solution module.
[0173] In one achievable manner, the second construction unit is specifically used for:
[0174] A port model decompression unit, an internal information updating unit and a model compression unit are constructed for each of the photovoltaic power generation unit port models; the port model decompression unit is used to obtain the unit port voltage solved in the previous step, and calculate all node voltages inside the corresponding photovoltaic power generation unit equivalent model; the internal information updating unit is used to use the node voltage to solve the historical current source of the equipment including capacitors, inductors and photovoltaic arrays in parallel; the model compression unit is used to calculate the equivalent admittance and injection current source corresponding to the photovoltaic power generation unit port model.
[0175] In one achievable manner, the first construction unit is specifically used for:
[0176] Based on the controlled source equivalent principle of the switch function, the power electronic equipment with the switch device as the core in the equivalent model of the photovoltaic power generation unit is constructed;
[0177] And / or, utilizing the invariance of port voltage and current between simulation steps, constructing a Norton equivalent circuit of a photovoltaic array in an equivalent model of a photovoltaic power generation unit.
[0178] In one possible implementation, the device further includes:
[0179] An optimization module, used for optimizing the unit-level parallel simulation architecture, comprises:
[0180] Determine and eliminate unnecessary nodes of the equivalent model of each photovoltaic power generation unit.
[0181] In one possible implementation, the device is implemented based on an RTDS platform or FPGA hardware;
[0182] When the method is implemented based on the RTDS platform, multi-core CPU simulation is used to achieve hardware parallelism between different racks and between different cores in the same rack;
[0183] When the method is implemented based on FPGA hardware, each module in the unit-level parallel simulation architecture and the site-level parallel simulation architecture is used as a sub-function, and a top-level scheduling module is constructed as an interface for the corresponding FPGA program to interact with the outside; the top-level scheduling module is directly associated with each external interface, serves as a data interaction interface between modules, and schedules the execution logic order of each module.
[0184] The present invention also provides a parallel unit-level modeling device for real-time simulation of a large-scale photovoltaic power station, comprising:
[0185] A memory for storing instructions; wherein the instructions are used to implement the parallelized unit-level modeling method for real-time simulation of a large-scale photovoltaic power station as described in any one of the above embodiments;
[0186] A processor is used to execute instructions in the memory.
[0187] The present invention also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the parallelized unit-level modeling method for real-time simulation of a large-scale photovoltaic power station as described in any one of the above embodiments is implemented.
[0188] Technicians in the relevant field can clearly understand that, for the convenience and conciseness of description, the specific working processes of the devices, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and the specific beneficial effects of the devices, modules and units described above can refer to the corresponding beneficial effects in the aforementioned method embodiments, which will not be repeated here.
[0189] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.
[0190] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0191] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of software functional modules.
[0192] If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.
[0193] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A parallel unit-level modeling method for real-time simulation of large-scale photovoltaic power plants, characterized in that: include: Construct a unit-level parallel simulation architecture for a target large-scale photovoltaic power plant; The unit-level parallel simulation architecture includes multiple photovoltaic power generation cluster equivalent modules, and the internal calculations between the photovoltaic power generation cluster equivalent modules are solved in parallel; each photovoltaic power generation cluster equivalent module, driven by the control signal, generates a unit port voltage signal based on the station outlet voltage solution, and obtains a port current signal by solving the unit port voltage signal through each photovoltaic power generation unit port model therein, and aggregates each port current signal to obtain a cluster port current signal; the photovoltaic power generation unit port model reflects the internal node information on the external node based on the idea of Ward equivalence; Construct a site-level parallel simulation architecture of the target large-scale photovoltaic power station; the site-level parallel simulation architecture includes a total input module, the unit-level parallel simulation architecture and an overall system network solution module connected in sequence; the total input module is used to send the control signal and the site outlet voltage to the unit-level parallel simulation architecture; the overall system network solution module is used to collect and output the cluster port current signal of each photovoltaic power generation cluster equivalent module; The unit-level parallel simulation architecture for constructing a target large-scale photovoltaic power station includes: Based on the topological structure of the target large-scale photovoltaic power station, constructing a photovoltaic power generation unit equivalent model of each photovoltaic power generation cluster equivalent module; Constructing a photovoltaic power generation unit port model corresponding to each photovoltaic power generation unit equivalent model; Construct a distribution unit and a collection unit for each of the photovoltaic power generation cluster equivalent modules; the distribution unit is used to generate a unit port voltage signal based on the station outlet voltage solution under the drive of the control signal and send it to each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module; the collection unit is used to collect the port current signals of each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module and send them to the overall system network solution module; Optimizing the unit-level parallel simulation architecture also includes: Determine and eliminate unnecessary nodes of the equivalent model of each photovoltaic power generation unit.
2. The parallelized unit-level modeling method for real-time simulation of large-scale photovoltaic power plants according to claim 1, characterized in that: The idea based on Ward equivalence reflects the internal node information on the external node, including: Through the idea of Ward equivalence, the voltage of the internal node in the port characteristic expression of the photovoltaic power generation unit is eliminated to obtain the external node information expression; The port characteristic expression of the photovoltaic power generation unit is: In the formula, I EX represents the injected current of the external node, V EX Represents the voltage of the external node, V IN represents the voltage of the internal node, J EX Represents the outflow current from the internal current source of the photovoltaic power generation unit to the external node, J IN represents the outflow current from the internal current source of the photovoltaic power generation unit to the internal node, Y 11 represents the self-admittance of the external node, Y 22 represents the self-admittance of the internal node, Y 12 and Y 21 They are the mutual admittances of external nodes and internal nodes; The external node information expression is: I EX =G EQ V EX +J EQ In the formula, G EQ represents the equivalent conductance matrix corresponding to the photovoltaic power generation unit port model, J EQ Represents the external node equivalent injection current source corresponding to the photovoltaic power generation unit port model.
3. The parallelized unit-level modeling method for real-time simulation of large-scale photovoltaic power plants according to claim 1 is characterized in that: The step of constructing a photovoltaic power generation unit port model corresponding to each photovoltaic power generation unit equivalent model includes: A port model decompression unit, an internal information updating unit and a model compression unit are constructed for each of the photovoltaic power generation unit port models; the port model decompression unit is used to obtain the unit port voltage solved in the previous step, and calculate all node voltages inside the corresponding photovoltaic power generation unit equivalent model; the internal information updating unit is used to use the node voltage to solve the historical current source of the equipment including capacitors, inductors and photovoltaic arrays in parallel; the model compression unit is used to calculate the equivalent admittance and injection current source corresponding to the photovoltaic power generation unit port model.
4. The parallelized unit-level modeling method for real-time simulation of large-scale photovoltaic power plants according to claim 1, characterized in that: The photovoltaic power generation unit equivalent model of each photovoltaic power generation cluster equivalent module is constructed, including: Based on the controlled source equivalent principle of the switch function, the power electronic equipment with the switch device as the core in the equivalent model of the photovoltaic power generation unit is constructed; And / or, utilizing the invariance of port voltage and current between simulation steps, constructing a Norton equivalent circuit of a photovoltaic array in an equivalent model of a photovoltaic power generation unit.
5. The parallelized unit-level modeling method for real-time simulation of large-scale photovoltaic power plants according to claim 1, characterized in that: The method is implemented based on RTDS platform or FPGA hardware; When the method is implemented based on the RTDS platform, multi-core CPU simulation is used to achieve hardware parallelism between different racks and between different cores in the same rack; When the method is implemented based on FPGA hardware, each module in the unit-level parallel simulation architecture and the site-level parallel simulation architecture is used as a sub-function, and a top-level scheduling module is constructed as an interface for the corresponding FPGA program to interact with the outside; the top-level scheduling module is directly associated with each external interface, serves as a data interaction interface between modules, and schedules the execution logic order of each module.
6. A parallelized unit-level modeling device for real-time simulation of large-scale photovoltaic power plants, characterized in that: include: The first building module is used to build a unit-level parallel simulation architecture of a target large-scale photovoltaic power station; The unit-level parallel simulation architecture includes multiple photovoltaic power generation cluster equivalent modules, and the internal calculations between the photovoltaic power generation cluster equivalent modules are solved in parallel; each photovoltaic power generation cluster equivalent module, driven by the control signal, generates a unit port voltage signal based on the station outlet voltage solution, and obtains a port current signal by solving the unit port voltage signal through each photovoltaic power generation unit port model therein, and aggregates each port current signal to obtain a cluster port current signal; the photovoltaic power generation unit port model reflects the internal node information on the external node based on the idea of Ward equivalence; The second construction module is used to construct a site-level parallel simulation architecture of the target large-scale photovoltaic power station; the site-level parallel simulation architecture includes a total input module, the unit-level parallel simulation architecture and an overall system network solution module connected in sequence; the total input module is used to send the control signal and the site outlet voltage to the unit-level parallel simulation architecture; The overall system network solution module is used to collect and output the cluster port current signals of each photovoltaic power generation cluster equivalent module; The first building block comprises: A first construction unit is used to construct a photovoltaic power generation unit equivalent model of each photovoltaic power generation cluster equivalent module based on the topological structure of the target large-scale photovoltaic power station; A second construction unit is used to construct a photovoltaic power generation unit port model corresponding to each photovoltaic power generation unit equivalent model; A third construction unit is used to construct a distribution unit and a collection unit of each of the photovoltaic power generation cluster equivalent modules; the distribution unit is used to generate a unit port voltage signal based on the station outlet voltage solution under the drive of the control signal and send it to each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module; the collection unit is used to collect the port current signals of each photovoltaic power generation unit port model in the photovoltaic power generation cluster equivalent module and send them to the overall system network solution module; An optimization module, used for optimizing the unit-level parallel simulation architecture, comprises: Determine and eliminate unnecessary nodes of the equivalent model of each photovoltaic power generation unit.
7. A parallelized unit-level modeling device for real-time simulation of large-scale photovoltaic power plants, characterized in that: include: A memory for storing instructions; wherein the instructions are used to implement the parallelized unit-level modeling method for real-time simulation of a large-scale photovoltaic power station according to any one of claims 1 to 5; A processor is used to execute instructions in the memory.
8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the parallelized unit-level modeling method for real-time simulation of a large-scale photovoltaic power station as described in any one of claims 1 to 5 is implemented.