CN112185221B - Hybrid wind-solar hybrid power generation operation and maintenance simulation method and device - Google Patents
Hybrid wind-solar hybrid power generation operation and maintenance simulation method and device Download PDFInfo
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Abstract
The invention provides a hybrid wind-solar hybrid power generation operation and maintenance simulation method and device, wherein the method comprises the following steps: constructing an environment model, and generating a temperature parameter T, an irradiance parameter E and a wind speed parameter F2 according to the environment model; generating power generation information of the single photovoltaic assembly based on the temperature parameter T, the irradiance parameter E and the first key parameter; generating photovoltaic square matrix power generation operation information in a simulation mode through the generated power generation information of the single photovoltaic modules and the number of the modules; constructing a fan library model selection library, and determining a second key parameter according to the fan library model selection library; and generating wind power generator operation information and the like in a simulation mode based on the wind speed parameter F2 and the second key parameter. The invention simulates the new energy power generation system under different scenes, different scales and different equipment models by dynamically setting the current meteorological environment, the number of components and the electrical parameters of the equipment, and can meet the complex application environment in reality, thereby leading the training effect to be more comprehensive.
Description
Technical Field
The invention relates to the field of wind-solar power generation simulation, in particular to a hybrid wind-solar complementary power generation operation and maintenance simulation method and device.
Background
Because the direct current system loop of the photovoltaic and wind new energy power generation system which is actually operated has higher direct current voltage, the grid quality is subjected to side impact by random operation after grid connection, and personnel potential safety hazards exist in live-line operation training, so that the photovoltaic and wind new energy power generation system is not suitable for being used as a training environment for installation wiring exercise and fault simulation.
In the training and teaching of the current mainstream new energy power generation simulation system in China, real meteorological environment detection equipment, fixed component scale, electrical parameters and the like are mostly used, faults possibly occurring in a real operation environment are generally difficult to reproduce comprehensively, and the new energy power generation system under different scenes, different scales and different equipment models cannot be simulated by randomly setting the current meteorological environment, the component number and the equipment electrical parameters, so that the complex application environment in reality cannot be completely met, and the training effect is not comprehensive enough.
In order to solve the above problems, people are always seeking an ideal technical solution.
Disclosure of Invention
The invention aims to provide a hybrid wind-solar hybrid power generation operation and maintenance simulation method and device aiming at the defects of the prior art.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides a hybrid wind-solar hybrid power generation operation and maintenance simulation method, which comprises the following steps:
constructing an environment model, and generating a temperature parameter T, an irradiance parameter E and a wind speed parameter F2 according to the environment model;
building a photovoltaic module type selection library, and determining a first key parameter through the photovoltaic module type selection library; generating power generation information of the single photovoltaic assembly based on the temperature parameter T, the irradiance parameter E and the first key parameter; generating photovoltaic square matrix power generation operation information in a simulation mode through the generated power generation information of the single photovoltaic modules and the number of the modules;
constructing a fan library model selection library, and determining a second key parameter according to the fan library model selection library; simulating to generate wind power generator operation information based on the wind speed parameter F2 and the second key parameter;
and acquiring the photovoltaic array power generation operation information and the wind driven generator operation information, and performing analog simulation of the wind-solar hybrid power generation flow according to the selected power generation mode.
The second aspect of the invention provides a hybrid wind-solar hybrid power generation operation and maintenance simulation device, which comprises a memory, a processor and a hybrid wind-solar hybrid power generation operation and maintenance simulation program stored on the memory and operable on the processor, wherein when the processor executes the hybrid wind-solar hybrid power generation operation and maintenance simulation program, the steps of the hybrid wind-solar hybrid power generation operation and maintenance simulation method are realized.
Compared with the prior art, the invention has prominent substantive characteristics and remarkable progress, particularly:
1) the invention provides a hybrid wind-solar hybrid power generation operation and maintenance simulation method and device, wherein a temperature parameter T, an irradiance parameter E and a wind speed parameter F2 are generated according to an environment model, real environment parameters are generated without the help of real meteorological environment detection equipment, dynamic setting of the current meteorological environment is realized, and environment parameters corresponding to different scenes are simulated; the method comprises the steps of constructing a photovoltaic module model selection library, determining a first key parameter through the photovoltaic module model selection library, determining a second key parameter according to the fan library model selection library, and simulating the new energy power generation system under different scenes, different scales and different equipment models by dynamically setting the current meteorological environment, the number of components and the electrical parameters of equipment without setting fixed component scale, electrical parameters and the like; the invention can meet the complex application environment in reality, so that the training effect is more comprehensive;
2) the invention can perform simulation of daily work contents such as operation, debugging, maintenance and the like under the structural forms of a wind power off-grid power generation system, a wind power grid-connected power generation system, a photovoltaic off-grid power generation system, a photovoltaic grid-connected power generation system and a wind-solar complementary off-grid power generation system;
3) the environment model comprises a temperature automatic model, an irradiance automatic model and a wind speed automatic model, the temperature parameter T is calculated based on the temperature automatic model, the irradiance parameter E is calculated based on the irradiance automatic model, the wind speed parameter F2 is calculated based on the wind speed automatic model, and simulation of environment parameters corresponding to different scenes is achieved;
4) time multiples (such as 10 times, 100 times, 1000 times and the like) can be selected for acceleration so as to accelerate and deduce the influence of environmental factors on the generating capacity and the operating condition of the generating equipment, thereby shortening the occupation time of the hybrid wind-solar hybrid generating operation and maintenance simulation and improving the training efficiency;
5) the fault phenomena are displayed through manual setting or generated by self during simulation operation, various fault phenomena occurring in a real operation environment are simulated, and the simulation training device is not suitable for being used as a training environment for installation wiring practice and fault simulation because of the potential safety hazard of personnel during side impact on power grid quality and live operation training caused by random operation after grid connection.
Drawings
FIG. 1 is a schematic view of an automatic temperature model of the present invention.
Fig. 2 is a schematic diagram of an irradiance auto model of the present invention.
FIG. 3 is a schematic view of an automatic model of wind speed according to the present invention.
Fig. 4 is a schematic diagram of a computational logic model of a photovoltaic module of the present invention.
FIG. 5 is a schematic diagram of a logical model of the wind turbine generator power generation calculation of the present invention.
FIG. 6 is a flow chart of the operation and maintenance simulation method for hybrid wind-solar hybrid power generation of the present invention.
Detailed Description
The technical solution of the present invention is further described in detail by the following embodiments.
Example 1
A hybrid wind-solar hybrid power generation operation and maintenance simulation method comprises the following steps:
constructing an environment model, and generating a temperature parameter T, an irradiance parameter E and a wind speed parameter F2 according to the environment model; wherein the environmental model comprises a temperature automatic model, an irradiance automatic model and a wind speed automatic model;
building a photovoltaic module type selection library, and determining a first key parameter through the photovoltaic module type selection library; generating power generation information of the single photovoltaic assembly based on the temperature parameter T, the irradiance parameter E and the first key parameter; generating photovoltaic square matrix power generation operation information in a simulation mode through the generated power generation information of the single photovoltaic modules and the number of the modules;
constructing a fan library model selection library, and determining a second key parameter according to the fan library model selection library; simulating to generate wind power generator operation information based on the wind speed parameter F2 and the second key parameter;
and acquiring the photovoltaic array power generation operation information and the wind driven generator operation information, and performing analog simulation of the wind-solar hybrid power generation flow according to the selected power generation mode.
In the prior art, due to the fact that real meteorological environment detection equipment, fixed component scale, electrical parameters and the like are used, the complex practical application environment cannot be completely met. By means of the hybrid wind-solar hybrid power generation operation and maintenance simulation method, the current meteorological environment, the number of components and the electrical parameters of equipment are dynamically set to simulate the new energy power generation system under different scenes, scales and models of the equipment, the photovoltaic square matrix power generation operation information and the wind driven generator operation information are dynamically adjusted, and faults possibly occurring in the real operation environment can be comprehensively reproduced.
Further, when the temperature parameter T is calculated according to the environment model, the following steps are performed: set lower temperature limit A1And an upper temperature limit value A2Extracting the time parameter T0(ii) a At a time parameter T0When the temperature parameter T is equal to 0 or the first preset time, the temperature parameter T is a temperature lower limit value A1(ii) a At a time parameter T0When the temperature parameter T is more than 0 and less than a first preset time, the temperature parameter T is A1+(A2-A1)×Cos(T0×0.125-90)。
It should be noted that fig. 1 shows a temperature automatic model, and the temperature parameter T is calculated based on the temperature automatic model; the time in one day is converted into a time parameter T according to minutes0Setting different calculation formulas in different numerical value sections to construct an automatic temperature model; when the temperature parameter T is determined, the temperature parameter T can be automatically modeled and determined through the temperature0Calculating the temperature parameter T; the temperature parameter T can also be customized, namely can be manually adjusted toThe fixed value control adjusts the environmental parameter.
Specifically, the first predetermined time is 1440, which is not limited herein.
Further, when the irradiance parameter E is calculated according to the environmental model, the following is performed: setting an irradiance lower limit value B1The upper limit value of irradiance is B2Extracting the time parameter T0(ii) a At a time parameter T0Greater than or equal to 0 and less than or equal to a fourth preset time or time parameter T0When the irradiance parameter E is more than or equal to a second preset time and less than or equal to a first preset time, the irradiance parameter E is an irradiance lower limit value B1(ii) a At a time parameter T0When the irradiance parameter E is more than the fourth preset time and less than or equal to the third preset time, the irradiance parameter E is B1+(B2-B1)×Cos[(T0-420)×0.3-90](ii) a At a time parameter T0When the irradiance parameter E is more than the third preset time and less than the second preset time, the irradiance parameter E is B1+(B2-B1)×Cos[(T0-720)×0.214](ii) a Wherein the first preset time>The second preset time>The third preset time>The fourth preset time.
It is noted that fig. 2 shows an irradiance auto model, based on which the irradiance parameter E is calculated; firstly, the time in one day is converted into a time parameter T according to the minutes0Setting different calculation formulas in different numerical value sections to construct an irradiance automatic model; in determining the irradiance parameter E, the irradiance parameter can be determined by an irradiance auto model and a time parameter T0Calculating the irradiance parameter E; the irradiance parameter E can also be customized, i.e. the environmental parameter is adjusted by a control means that is manually adjustable to a fixed value.
Specifically, the first preset time is 1440, the second preset time is 1140, the third preset time is 720, and the fourth preset time is 420; when 0 is less than or equal to T0T is more than or equal to 420 or 1140 and less than or equal to0When the irradiance is less than or equal to 1440, the irradiance E is equal to the lower limit value B of irradiance1(ii) a When 420 < T0When the irradiance is less than or equal to 720, the irradiance E is equal to B1+(B2-B1)×Cos[(T0-420)×0.3-90](ii) a When 720 < T1 < 1140, irradiance E ═ B1+(B2-B1)×Cos[(T0-720)×0.214]。
Further, when the wind speed parameter F2 is calculated according to the environment model, the following steps are performed: setting a lower wind speed limit C1Upper limit value of wind speed C2Extracting the time parameter T0(ii) a At a time parameter T0Equal to 0 or a first preset time, the wind speed parameter F2 is a wind speed upper limit value C2(ii) a At a time parameter T0When the wind speed parameter is more than 0 and less than the first preset time, the wind speed parameter F2 is C2+(C2-C1)×Cos(T0×0.125+90)。
It should be noted that fig. 3 shows a wind speed automatic model, and the wind speed parameter F2 is calculated based on the wind speed automatic model; the time in one day is converted into a time parameter T according to minutes0Setting different calculation formulas in different numerical value sections to construct an automatic wind speed model; in determining the wind speed parameter F2, the wind speed parameter can be determined by an automatic model of the wind speed and a time parameter T0Calculating the wind speed automatic model; the wind speed parameter F2 can also be customized, namely the environmental parameter is adjusted in a control mode of manually and automatically adjusting the wind speed parameter to be a fixed numerical value; the wind level F1 is obtained by calculating the wind speed according to a standard wind level and wind speed corresponding relation table, and the wind level F1 is used for showing the current simulation wind level to the user.
Specifically, the first predetermined time is 1440, which is not limited herein.
In one embodiment, the simulation is performed for a time ranging from 00: 00: 00 to 23: 59: and the travel speed of the electronic watch is defaulted to be normal speed by 59, and the change of the environment in different time periods is simulated according to the established environment change logic algorithm (a temperature automatic model, an irradiance automatic model and a wind speed automatic model). In order to shorten the hybrid wind-solar hybrid power generation operation and maintenance simulation process, a time multiple (such as 10 times, 100 times, 1000 times and the like) can be selected for acceleration, so that the influence of environmental factors on the power generation amount and the operation condition of the power generation equipment can be accelerated and deduced.
FIG. 4 shows a schematic diagram of a computational logic model of a photovoltaic module of the present invention, showing a) the effect of temperature on the performance of the photovoltaic module;
further, the first key parameters include a real-time maximum power Pmax1, a real-time open-circuit voltage Voc1, a real-time short-circuit current Isc1, a real-time maximum power point operating voltage Vmpp1 and a real-time maximum power point operating current Impp1, and the calculation formula is as follows:
the real-time maximum power Pmax1 is PVmax x [ (T-25) x KPmax/100+1 ];
real-time open circuit voltage Voc1 ═ Voc x [ (T-25) × KVoc/100+1 ];
real-time short circuit current Isc1 ═ Isc × [ (T-25) × KIsc/100+1 ];
the real-time maximum power point working voltage Vmpp1 is Vmpp x [ (T-25) x KVoc/100+1 ];
real-time maximum power point operating current Impp1 ═ Impp × [ (T-25) × KIsc/100+1 ];
wherein T represents a temperature parameter, PVmax (unit Wp) represents a preset first maximum power, KPmax (unit%/° c) represents a maximum power temperature coefficient, Voc (unit V) represents a preset open-circuit voltage, KVoc (unit%/° c) represents an open-circuit voltage temperature coefficient, Isc (unit a) represents a preset short-circuit current, KIsc (unit%/° c) represents a short-circuit current temperature coefficient, Vmpp (unit V) represents an operating voltage of a preset maximum power point, and Impp (unit a) represents an operating current of the preset maximum power point.
The photovoltaic module type selection library comprises information such as photovoltaic module performance parameters and cell panel specifications; the number of battery panels (the number of assemblies) in the group string is set, the assemblies which are currently applied are selected from the photovoltaic assembly library, and the system can participate in power generation logic calculation according to the selected number of the assemblies and the specifications of the assemblies.
Further, when generating the power generation information of the monolithic photovoltaic module based on the temperature parameter T, the irradiance parameter E and the first key parameter, executing: the power generation information of the monolithic photovoltaic module comprises real-time power generation Pzj1 of the monolithic module, real-time short-circuit current Izj1sc of the monolithic module, maximum power point working voltage Vzj1mpp of the monolithic module, maximum power point working current Izj1mpp of the monolithic module and real-time open-circuit voltage Vzj1oc of the monolithic module, and the calculation formula is as follows:
the real-time power generation amount Pzj1 of the monolithic component is E multiplied by S multiplied by eta m/100;
monolithic assembly real-time short-circuit current Izj1sc ═ v [ Pzj1/(Pmax1/Isc 1)2)]；
The maximum power point working voltage Vzj1mpp is Vmpp 1;
the maximum power point working current Izj1mpp of the monoblock component is Pzj1/Vzj1 mpp;
the real-time open-circuit voltage Vzj1oc of the monoblock assembly is [ ArcCos (Izj1mpp/Impp1) ]/[90/(Voc1-Vzj1mpp) ] + Vzj1 mpp;
where E represents the irradiance parameter, S represents the monolithic component area, η m (%) represents the component efficiency, Pmax1 represents the real-time maximum power, Isc1 represents the real-time short circuit current, Vmpp1 represents the real-time maximum power point operating voltage, Impp1 represents the real-time maximum power point operating current, and Voc1 represents the real-time open circuit voltage.
It will be appreciated that the component dimensions (L, W, H) are entered and the monoblock component area S is calculated from the component dimensions L, W.
Further, through the generated power generation information and the number of the single photovoltaic modules, when the power generation operation information of the photovoltaic square matrix is generated in a simulation manner, the following steps are executed: the photovoltaic square matrix power generation operation information comprises photovoltaic square matrix real-time power generation Pfz1, photovoltaic square matrix real-time short-circuit current Ifz1sc, photovoltaic square matrix maximum power point working voltage Vfz1mpp, photovoltaic square matrix maximum power point working current Ifz1mpp and photovoltaic square matrix real-time open-circuit voltage Vfz1oc, and the calculation formula is as follows:
the photovoltaic array real-time power generation capacity Pfz1 is K1 multiplied by Pzj 1;
the photovoltaic square matrix real-time short-circuit current Ifz1sc is Izj1 sc;
the maximum power point working voltage Vfz1mpp of the photovoltaic square matrix is K1 multiplied by Vzj1 mpp;
the maximum power point working current Ifz1mpp of the photovoltaic square matrix is Izj1 mpp;
the photovoltaic square matrix real-time open-circuit voltage Vfz1oc ═ K1 × Vzj1 oc;
wherein K1 represents the number of modules, Pzj1 represents the real-time power generation amount of the monoblock module, Izj1sc represents the real-time short-circuit current of the monoblock module, Vzj1mpp represents the maximum power point working voltage of the monoblock module, Izj1mpp represents the maximum power point working current of the monoblock module, and Vzj1oc represents the real-time open-circuit voltage of the monoblock module.
FIG. 5 illustrates a schematic diagram of a logical model of wind turbine power generation calculations of the present invention;
further, based on the wind speed parameter F2 and the second key parameter, when generating the wind turbine operation information in a simulation manner, the following steps are performed: when the wind speed parameter F2 is less than or equal to a starting wind speed Fqd, the real-time generated power Pfj, the real-time generated voltage Ufj and the real-time generated current Ifj are all 0;
when the wind speed parameter F2 is greater than the starting wind speed Fqd and equal to or less than the rated wind speed Fe, the real-time generated power Pfj is equal to PWmax × { Cos [ (F2-Fqd) × 90/(Fe-Fqd +2) +180] +1}, the real-time generated voltage Ufj is equal to 1.2 × Ue × Cos [ (F2-Fqd) × 90/(Fe-Fqd +2) -90], and the real-time generated current Ifj is equal to Pfj/Ufj;
when the wind speed parameter F2 is greater than the rated wind speed Fe, the real-time generated power Pfj is PWmax, the real-time generated voltage Ufj is 1.2 × Ue, and the real-time generated current Ifj is Pfj/Ufj;
the second key parameters comprise rated power P (unit W), second maximum power PWmax (unit W), rated wind speed Fe (unit m/s), rated rotating speed Fez (unit r/min), starting wind speed Fqd (unit m/s), working wind speed Fgd (unit m/s), wind wheel diameter (unit m), working voltage Ue (unit V) and the like; the wind turbine operation information includes real-time generated power Pfj, real-time generated voltage Ufj, and real-time generated current Ifj.
Example 2
Acquiring the photovoltaic array power generation operation information and the wind driven generator operation information, and executing the following steps when carrying out simulation of the wind-solar hybrid power generation process according to the selected power generation mode: parameters of the combiner box, the inverter, the controller, the storage battery and the commercial power are defined by users, the photovoltaic array power generation operation information and the wind driven generator operation information are obtained, and the operation information under various power generation modes is calculated.
It can be understood that the power generation modes include power generation modes such as wind power off-grid, wind power grid-connection, photovoltaic off-grid, photovoltaic grid-connection, wind-solar hybrid and the like: when the power generation mode is wind power off-grid, calling the running information of the wind driven generator, and simulating a scene that a wind-solar complementary controller and an off-grid inverter supply power to a load user in the wind power off-grid mode or a scene that a battery pack is charged by a wind power charging controller; when the power generation mode is wind power grid connection, calling the running information of the wind driven generator, and simulating a scene of supplying power to an alternating current power grid through a wind power grid connection inverter in the wind power grid connection mode; when the power generation mode is photovoltaic off-grid, calling the photovoltaic square matrix power generation operation information, and simulating a scene that a load user is supplied with power through a photovoltaic combiner box, a wind-solar complementary controller and an off-grid inverter in the photovoltaic off-grid mode, or a scene that a battery pack is charged through a solar controller; when the power generation mode is photovoltaic grid connection, calling the photovoltaic square matrix power generation operation information, and simulating a scene of supplying power to an alternating current power grid through a photovoltaic grid connection inverter in the photovoltaic grid connection mode; and when the power generation mode is wind-light complementation, calling the photovoltaic array power generation operation information and the wind driven generator operation information, and simulating a scene that the photovoltaic array power generation operation information and the wind driven generator operation information simultaneously supply power to load users or an alternating current power grid in the wind-light complementation mode.
It should be noted that the wind-solar hybrid controller, the off-grid inverter, the battery pack, the wind power charging controller, the solar controller, the photovoltaic combiner box, the photovoltaic grid-connected inverter, the wind power grid-connected inverter, and the like may be actual hardware devices, that is, a power generation operation and maintenance simulation process is realized by combining software and hardware, or respective operation parameters may be customized by simulating the wind-solar hybrid controller, the off-grid inverter, the battery pack, the wind power charging controller, and the like through software, so as to realize respective conventional functions.
In one specific implementation mode, the inverter is determined to work in a grid-connected or off-grid operation mode according to the selected operation mode, the inverter carries out MPPT maximum power point calculation and tracking regulation according to the relation between the voltage and current data output by the photovoltaic square matrix and the photovoltaic characteristic curve and real-time load data, alternating current voltage and current data converted according to certain efficiency when the maximum power point works are output, the preset load works under the voltage and current data output by the inverter, and recalculating the real-time load data according to the voltage value and the load, regressing the inverter output voltage and current data according to the real-time load data, repeatedly and circularly calculating until the output deviation of the inverter output data is less than or equal to 0.1% compared with the last output deviation, determining that the output power of the inverter is stable, and determining the simulation of the whole power generation flow of the power generation data, the power utilization data and the power selling data by a power generation meter and a user meter data communication module.
In another specific embodiment, the inverter and the controller are determined to work in a grid-connected or off-grid operation mode according to the selected operation mode, the controller performs output voltage regulation and three-phase unloading or braking control according to the output voltage data and real-time load data of the wind generating set, and the output voltage data and the real-time load data are converted into direct current according to certain efficiency and output to the inverter or the storage battery pack. The inverter converts the electric quantity provided by the controller or the storage battery pack into alternating current voltage data according to certain efficiency, and the alternating current voltage data are respectively supplied to a user load or sold to a power grid through the power generation metering and power consumption metering devices, so that the simulation of the whole wind power generation flow is realized.
Example 3
The present embodiment is different from the foregoing embodiments in that the hybrid wind-solar hybrid power generation operation and maintenance simulation method further includes: and setting a fault type, and modifying the photovoltaic square matrix power generation operation information and/or the wind driven generator operation information according to the fault type so as to simulate the wind-light complementary power generation operation and maintenance scene under different faults.
It can be understood that, in the normal operation process of the system, according to the model and the logic algorithm established above, the software operation flow in fig. 6 is referred to, so as to realize the power generation information of the simulation hybrid wind-solar hybrid power generation under various operation modes. Specifically, after initialization, a single machine mode (suitable for student machines) or a networking mode (suitable for teacher machines) is selected through a mode selection module, the single machine mode can only control a training device and a simulation platform area which are connected with a computer, and the networking mode can control a plurality of training devices and simulation platform areas; and then, switching power generation modes, wherein the power generation modes comprise wind power off-grid mode, wind power on-grid mode, photovoltaic off-grid mode, photovoltaic on-grid mode, wind-solar complementary mode and the like. After the power generation mode is determined, a computer and a corresponding practical training device are started, and a hybrid wind-solar hybrid power generation operation and maintenance simulation program which runs on a processor is simulated by the computer to output corresponding photovoltaic square matrix power generation operation information and wind driven generator operation information.
If fault simulation is needed, the open-circuit and short-circuit faults of different points in the photovoltaic module, the inverter and the metering loop can be set through the operation control module, or environmental data such as wind speed, irradiance and temperature can be adjusted through the operation control module, or user load output is increased or reduced, so that various fault phenomena can be simulated.
In the normal operation process of the system, if faults are set or the states of the switch and the self-production equipment are changed in a simulation mode, the operation conditions under different fault conditions can be reflected, and the states can also be involved in power generation logic calculation so as to simulate various fault phenomena occurring in a real operation environment.
It should be noted that the simulation fault is divided into two cases, one is a fault phenomenon displayed by manual setting, and the other is a fault phenomenon generated by itself during simulation operation.
1) Logic description of manually set fault:
the fault simulation of manual setting is realized by setting open-circuit and short-circuit faults of different points in a photovoltaic module, an inverter and a metering loop through a PC (personal computer) human-computer interface, and the faults of a photovoltaic square matrix direct current open circuit, a confluence output direct current open circuit, a wind driven generator output alternating current open circuit, a complementary controller direct current output open circuit, a grid-connected inverter direct current input open circuit, a grid-connected inverter alternating current output open circuit, a 380V public power grid power loss, an energy storage device open circuit, island operation and the like can be simulated.
After a fault setting command of a PC (personal computer) end is received, the setting state of the fault can participate in a photovoltaic characteristic curve calculation formula of a photovoltaic module, a volt-ampere characteristic curve operation formula of a fan, an alternating current-direct current conversion operation formula of a controller, an inversion output of an inverter and an MPPT (maximum power point tracking) tracking calculation formula, and the setting state of the fault can be used as a variable to participate in calculation, so that the output of analog data of each stage of element is changed, a chain reaction is caused to the operation data of a rear stage of element, and phenomena such as meter data display of a driving device, state indication of an indicator lamp, joint jump action of an automatic device and the like are driven. For example, after the photovoltaic square matrix dc open circuit fault is set, the output voltage of the combiner box is 0, the output power is 0, and so on, and the output voltage of the combiner box is 0, which may result in the voltage and the current of the photovoltaic array being 0.
2) Logic description of self-fault under the simulation running state:
the self-generated fault in the simulated operation state is that when the system automatically operates, the environment data such as wind speed, irradiance and temperature are manually adjusted, or the load output of a user is increased and reduced, so that the generated energy is possibly excessive or insufficient, and the fault phenomena such as overvoltage, low voltage, overcurrent, over-frequency, low frequency, isolated island operation, isolated island action, inverter non-output and the like occur to each element, and finally the operation conditions under different environments or scenes in the simulated real environment are achieved.
Example 4
A hybrid wind-solar hybrid power generation operation and maintenance simulation device comprises a memory, a processor and a hybrid wind-solar hybrid power generation operation and maintenance simulation program which is stored on the memory and can run on the processor, wherein when the processor executes the hybrid wind-solar hybrid power generation operation and maintenance simulation program, the steps of the hybrid wind-solar hybrid power generation operation and maintenance simulation method are realized.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the above-described modules is only one logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated module may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, all or part of the flow in the method of the embodiments described above may be implemented by a computer program, which may be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. The computer program includes computer program code, and the computer program code may be in a source code form, an object code form, an executable file or some intermediate form.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention and not to limit it; although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art will understand that: modifications to the specific embodiments of the invention or equivalent substitutions for parts of the technical features may be made; without departing from the spirit of the present invention, it is intended to cover all aspects of the invention as defined by the appended claims.
Claims (7)
1. A hybrid wind-solar hybrid power generation operation and maintenance simulation method is characterized by comprising the following steps:
constructing an environment model, and generating a temperature parameter T, an irradiance parameter E and a wind speed parameter F2 according to the environment model;
building a photovoltaic module type selection library, and determining a first key parameter through the photovoltaic module type selection library; the first key parameters comprise real-time maximum power Pmax1, real-time open-circuit voltage Voc1, real-time short-circuit current Isc1, real-time maximum power point working voltage Vmpp1 and real-time maximum power point working current Impp1, and the calculation formula is as follows:
real-time maximum power Pmax1= PVmax × [ (T-25) × KPmax/100+1 ];
real-time open circuit voltage Voc1 ═ Voc x [ (T-25) × KVoc/100+1 ];
real-time short circuit current Isc1 ═ Isc × [ (T-25) × KIsc/100+1 ];
the real-time maximum power point working voltage Vmpp1 is Vmpp x [ (T-25) x KVoc/100+1 ];
real-time maximum power point operating current Impp1 ═ Impp × [ (T-25) × KIsc/100+1 ];
wherein T represents a temperature parameter, PVmax represents a preset first maximum power, KPmax represents a maximum power temperature coefficient, Voc represents a preset open-circuit voltage, KVoc represents an open-circuit voltage temperature coefficient, Isc represents a preset short-circuit current, KIsc represents a short-circuit current temperature coefficient, Vmpp represents a working voltage of a preset maximum power point, and Impp represents a working current of the preset maximum power point;
generating power generation information of the single photovoltaic module based on the temperature parameter T, the irradiance parameter E and the first key parameter, wherein the power generation information of the single photovoltaic module comprises real-time power generation Pzj1 of the single photovoltaic module, real-time short-circuit current Izj1sc of the single photovoltaic module, maximum power point working voltage Vzj1mpp of the single photovoltaic module, maximum power point working current Izj1mpp of the single photovoltaic module and real-time open-circuit voltage Vzj1oc of the single photovoltaic module, and the calculation formula is as follows:
the real-time power generation of the monolithic component is Pzj1= E multiplied by S multiplied by eta m/100;
monolithic block assembly real-time short-circuit current Izj1sc = √ Pzj1/(Pmax 1/Is)c12)]；
The maximum power point working voltage Vzj1mpp is Vmpp 1;
the maximum power point working current Izj1mpp of the monoblock component is Pzj1/Vzj1 mpp;
the real-time open-circuit voltage Vzj1oc of the monoblock assembly is [ ArcCos (Izj1mpp/Impp1) ]/[90/(Voc1-Vzj1mpp) ] + Vzj1 mpp;
wherein E represents the irradiance parameter, S represents the monolithic component area, η m represents the component efficiency, Pmax1 represents the real-time maximum power, Isc1 represents the real-time short circuit current, Vmpp1 represents the real-time maximum power point operating voltage, Impp1 represents the real-time maximum power point operating current, and Voc1 represents the real-time open circuit voltage;
generating photovoltaic square matrix power generation operation information in a simulation mode through the generated power generation information of the single photovoltaic modules and the number of the modules;
constructing a fan library model selection library, and determining a second key parameter according to the fan library model selection library; the second key parameters comprise a second maximum power PWmax, a rated wind speed Fe, a starting wind speed Fqd and a working voltage Ue;
generating wind driven generator operation information in a simulation mode based on the wind speed parameter F2 and the second key parameter, wherein the wind driven generator operation information comprises real-time generated power Pfj, real-time generated voltage Ufj and real-time generated current Ifj;
when the wind speed parameter F2 is less than or equal to a starting wind speed Fqd, the real-time generated power Pfj, the real-time generated voltage Ufj and the real-time generated current Ifj are all 0;
when the wind speed parameter F2 is greater than a starting wind speed Fqd and equal to or less than a rated wind speed Fe, the real-time generated power Pfj is equal to PWmax x { Cos [ (F2-Fqd) × 90/(Fe-Fqd +2) +180] +1}, the real-time generated voltage Ufj is equal to 1.2 × Ue × Cos [ (F2-Fqd) × 90/(Fe-Fqd +2) -90], and the real-time generated current Ifj is equal to Pfj/Ufj;
when the wind speed parameter F2 is greater than the rated wind speed Fe, the real-time generated power Pfj is PWmax, the real-time generated voltage Ufj is 1.2 × Ue, and the real-time generated current Ifj is Pfj/Ufj;
and acquiring the photovoltaic array power generation operation information and the wind driven generator operation information, and performing analog simulation of the wind-solar hybrid power generation flow according to the selected power generation mode.
2. The hybrid wind-solar hybrid power generation operation and maintenance simulation method according to claim 1, wherein when the temperature parameter T is calculated according to the environment model, the following steps are performed:
set lower temperature limit A1And an upper temperature limit value A2Extracting the time parameter T0；
At a time parameter T0When the temperature parameter T is equal to 0 or the first preset time, the temperature parameter T is a temperature lower limit value A1；
At a time parameter T0When the temperature parameter T is more than 0 and less than a first preset time, the temperature parameter T is A1+(A2-A1)×Cos(T0×0.125-90)。
3. The hybrid wind-solar hybrid power generation operation and maintenance simulation method according to claim 1, wherein when the irradiance parameter E is calculated according to the environment model, the following steps are executed:
setting an irradiance lower limit value B1The upper limit value of irradiance is B2Extracting the time parameter T0；
At a time parameter T0Greater than or equal to 0 and less than or equal to a fourth preset time or time parameter T0When the irradiance parameter E is more than or equal to a second preset time and less than or equal to a first preset time, the irradiance parameter E is an irradiance lower limit value B1；
At a time parameter T0When the irradiance parameter E is more than the fourth preset time and less than or equal to the third preset time, the irradiance parameter E is B1+(B2-B1)×Cos[(T0-420)×0.3-90]；
At a time parameter T0When the irradiance parameter E is more than the third preset time and less than the second preset time, the irradiance parameter E is B1+(B2-B1)×Cos[(T0-720)×0.214]；
Wherein the first preset time > the second preset time > the third preset time > the fourth preset time.
4. The hybrid wind-solar hybrid power generation operation and maintenance simulation method according to claim 1, wherein when calculating the wind speed parameter F2 according to the environment model, the following steps are performed:
setting a lower wind speed limit C1Upper limit value of wind speed C2Extracting the time parameter T0；
At a time parameter T0Equal to 0 or a first preset time, the wind speed parameter F2 is a wind speed upper limit value C2；
At a time parameter T0When the wind speed parameter is more than 0 and less than the first preset time, the wind speed parameter F2 is C2+(C2-C1)×Cos(T0×0.125+90)。
5. The hybrid wind-solar hybrid power generation operation and maintenance simulation method according to claim 1, wherein when generating the photovoltaic square matrix power generation operation information in a simulation manner according to the generated power generation information and the generated number of the single photovoltaic modules, the following steps are performed:
the photovoltaic square matrix power generation operation information comprises photovoltaic square matrix real-time power generation Pfz1, photovoltaic square matrix real-time short-circuit current Ifz1sc, photovoltaic square matrix maximum power point working voltage Vfz1mpp, photovoltaic square matrix maximum power point working current Ifz1mpp and photovoltaic square matrix real-time open-circuit voltage Vfz1oc, and the calculation formula is as follows:
the photovoltaic array real-time power generation capacity Pfz1 is K1 multiplied by Pzj 1;
the photovoltaic square matrix real-time short-circuit current Ifz1sc is Izj1 sc;
the maximum power point working voltage Vfz1mpp of the photovoltaic square matrix is K1 multiplied by Vzj1 mpp;
the maximum power point working current Ifz1mpp of the photovoltaic square matrix is Izj1 mpp;
the photovoltaic square matrix real-time open-circuit voltage Vfz1oc ═ K1 × Vzj1 oc;
wherein K1 represents the number of modules, Pzj1 represents the real-time power generation amount of the monoblock module, Izj1sc represents the real-time short-circuit current of the monoblock module, Vzj1mpp represents the maximum power point working voltage of the monoblock module, Izj1mpp represents the maximum power point working current of the monoblock module, and Vzj1oc represents the real-time open-circuit voltage of the monoblock module.
6. The hybrid wind-solar hybrid power generation operation and maintenance simulation method according to any one of claims 1 to 5, further comprising: and setting a fault type, and modifying the photovoltaic square matrix power generation operation information and/or the wind driven generator operation information according to the fault type so as to simulate the wind-light complementary power generation operation and maintenance scene under different faults.
7. A hybrid wind-solar hybrid power generation operation and maintenance simulation device is characterized in that: the hybrid wind-solar hybrid power generation operation and maintenance simulation program comprises a memory, a processor and a hybrid wind-solar hybrid power generation operation and maintenance simulation program stored on the memory and capable of running on the processor, wherein the hybrid wind-solar hybrid power generation operation and maintenance simulation program realizes the steps of the hybrid wind-solar hybrid power generation operation and maintenance simulation method according to any one of claims 1 to 6 when being executed by the processor.
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