CN112467782B - Operation safety checking method and device of water-light complementary system and electronic equipment - Google Patents
Operation safety checking method and device of water-light complementary system and electronic equipment Download PDFInfo
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- CN112467782B CN112467782B CN202011287792.7A CN202011287792A CN112467782B CN 112467782 B CN112467782 B CN 112467782B CN 202011287792 A CN202011287792 A CN 202011287792A CN 112467782 B CN112467782 B CN 112467782B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
The application provides a method and a device for checking operation safety of a water-light complementary system and electronic equipment, and relates to the technical field of clean energy multi-energy complementary. In the present application, first, a target electrical parameter is acquired. Secondly, determining a sampling configuration point parameter of the generating power of the photovoltaic system. And then, performing simulation calculation by adopting electric power system calculation analysis software based on the target electrical parameters and the sampling configuration point parameters to obtain target safety response parameters of the water-light complementary system. And, based on the target safety response parameter, determining a corresponding confidence probability distribution parameter. And finally, determining an operation safety check result of the water-light complementary system based on the confidence probability distribution parameter of the target safety response parameter and the corresponding safety threshold parameter. By the method, the operation safety of the water-light complementary system can be effectively checked.
Description
Technical Field
The application relates to the technical field of clean energy multi-energy complementation, in particular to a method and a device for checking operation safety of a water-light complementary system and electronic equipment.
Background
The method has the advantages that clean energy is vigorously developed, the trend of coping with global climate change is great, and the method is an important fulcrum for realizing energy structure transformation and even economic structure adjustment in China. By the end of 2019, the total installed capacity of clean energy in China reaches 8.20 hundred million kilowatts, and accounts for 40.8 percent of the total installed capacity, wherein the installed capacity of water and electricity is 3.56 hundred million kilowatts, and the installed capacity of photovoltaic is 2.05 hundred million kilowatts. However, the problems of water and light abandonment are still very prominent for planning, management, technical reasons and the like. The advantages among different types of energy are utilized, complementary power generation of multiple clean energy is realized, and the method has important value for reducing the electricity abandonment of the clean energy and building a clean low-carbon modern energy system. The cascade hydroelectric power generation device has the advantages of large installed capacity, good adjusting performance and the like, and the multifunctional complementary power generation with hydroelectric power as a link becomes a main research and practice direction.
Currently, research on water-light complementary systems mainly involves the following three aspects: the capacity configuration of the water-light-wind complementary system, for example, a capacity optimization model of the water-light-wind complementary power generation system is established by aiming at the minimum electric quantity of abandoned wind and light of the system and the maximum total scale of accessed wind and light; secondly, the complementary mode and the operation characteristic of the water-light complementary system, such as the first water-light complementary project in the world, the Longyang gorge water-light complementary project, are researched from key technologies such as the power generation characteristic of a power station, the water-light complementary mode and the operation mode; and thirdly, operation scheduling of the water-light complementary system, for example, the T-navigation takes the maximum peak regulation capacity of the water-light complementary system in a scheduling period and the minimum deviation of the output of the complementary system and a preset power generation plan curve as an optimized objective function, and comprehensively considers the constraint conditions of the power system and the water balance, so as to establish a water-light complementary short-term optimized scheduling model.
The inventor finds that in the water-light complementary system, the operation safety of the water-light complementary system is affected by the strong randomness and the intermittence of the photovoltaic system, so that a technical scheme capable of effectively checking the operation safety of the water-light complementary system is provided, and the technical problem to be solved is needed.
Disclosure of Invention
In view of the above, an object of the present application is to provide a method and an apparatus for checking operation safety of a water-light complementary system, and an electronic device, so as to effectively check the operation safety of the water-light complementary system.
In order to achieve the above purpose, the embodiment of the present application adopts the following technical solutions:
an operation safety check method of a water-light complementary system comprises the following steps:
acquiring target electrical parameters, wherein the target electrical parameters comprise electrical parameters of a water-light complementary system and electrical parameters of a power grid accessed by the water-light complementary system, and the water-light complementary system comprises a photovoltaic system and a water-electricity system;
determining a sampling configuration point parameter of the generating power of the photovoltaic system;
performing simulation calculation by adopting electric power system calculation analysis software based on the target electrical parameters and the sampling configuration point parameters to obtain target safety response parameters of the water-light complementary system;
determining a corresponding confidence probability distribution parameter based on the target safety response parameter;
and determining the operation safety check result of the water-light complementary system based on the confidence probability distribution parameter of the target safety response parameter and the corresponding safety threshold parameter.
In a preferable selection of the embodiment of the present application, in the operation safety check method of the water-light complementary system, the step of determining a sampling configuration point parameter of the generated power of the photovoltaic system includes:
taking a root of a Legendre polynomial with a target order as an initial configuration point parameter, wherein the initial configuration point parameter belongs to a first interval;
determining a generating power fluctuation interval of the photovoltaic system based on the predicted generating power of the photovoltaic system, wherein the predicted generating power of the photovoltaic system is included in the target electrical parameters;
and mapping the initial configuration point parameters belonging to the first interval to the generated power fluctuation interval based on a preset rule to obtain corresponding sampling configuration point parameters.
In a preferable selection of the embodiment of the present application, in the operation safety check method of the water-light complementary system, the preset rule includes:
wherein x isiConfiguring a point parameter, r, for said samplingiFor the initial configuration point parameter, PmaxIs the upper limit value, P, of the generated power fluctuation intervalminAnd N +1 is the target order and is the lower limit value of the generated power fluctuation interval.
In a preferred option of the embodiment of the present application, in the operation safety check method of the water-light complementary system, the step of determining the corresponding confidence probability distribution parameter based on the target safety response parameter includes:
calculating an expansion coefficient of a chaotic polynomial based on the target safety response parameter;
determining an objective function relation based on the expansion coefficient, wherein the objective function relation is used for representing the relation between the random variable and the target safety response quantity;
and obtaining a confidence probability distribution parameter corresponding to the target safety response parameter of the water-light complementary system based on the target function relation.
In a preferred option of the embodiment of the present application, in the operation safety check method of the water-light complementary system, the objective function relationship includes:
wherein y is the target security response quantity, x is the random variable, ciIs the expansion coefficient, LiLegendre polynomials of order i, PmaxIs the upper limit value, P, of the generated power fluctuation interval of the photovoltaic systemminAnd N +1 is the target order of the Legendre polynomial, which is the lower limit value of the generated power fluctuation interval of the photovoltaic system.
In a preferred option of the embodiment of the present application, in the operation safety check method of the water-light complementary system, the step of obtaining a confidence probability distribution parameter corresponding to a target safety response parameter of the water-light complementary system based on the objective function relationship includes:
and carrying out random sampling treatment on the target function relation based on a Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to a target safety response parameter of the water-light complementary system.
In a preferred option of the embodiment of the present application, in the operation safety check method for a water-light complementary system, the objective function relationship includes a first objective function relationship, a second objective function relationship, and a third objective function relationship, determining that an expansion coefficient of the first objective function relationship is obtained based on a node voltage safety response parameter in the objective safety response parameter, determining that an expansion coefficient of the second objective function relationship is obtained based on a generator power angle safety response parameter in the objective safety response parameter, and determining that an expansion coefficient of the third objective function relationship is obtained based on a system frequency safety response parameter in the objective safety response parameter;
the step of performing random sampling processing on the target function relation based on the Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to a target safety response parameter of the water-light complementary system comprises the following steps:
performing random sampling treatment on the first target function relation based on a Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to the node voltage of the water-light complementary system;
performing random sampling treatment on the second target function relation based on a Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to the power angle difference of the generator of the water-light complementary system;
and performing random sampling treatment on the third target function relation based on a Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to the system frequency of the water-light complementary system.
The embodiment of the present application further provides a device is checked to operation safety of complementary system of water light, includes:
the system comprises an electric parameter acquisition module, a water-light complementary system and a power grid, wherein the electric parameter acquisition module is used for acquiring a target electric parameter, the target electric parameter comprises an electric parameter of the water-light complementary system and an electric parameter of the power grid connected with the water-light complementary system, and the water-light complementary system comprises a photovoltaic system and a water-electricity system;
the configuration point parameter determining module is used for determining sampling configuration point parameters of the generating power of the photovoltaic system;
the response parameter calculation module is used for carrying out simulation calculation by adopting electric power system calculation analysis software based on the target electrical parameters and the sampling configuration point parameters to obtain target safety response parameters of the water-light complementary system;
the distribution parameter determining module is used for determining corresponding confidence probability distribution parameters based on the target safety response parameters;
and the checking result determining module is used for determining the operation safety checking result of the water-light complementary system based on the confidence probability distribution parameter of the target safety response parameter and the corresponding safety threshold parameter.
On the basis, an embodiment of the present application further provides an electronic device, including:
a memory for storing a computer program;
and the processor is connected with the memory and is used for executing the computer program stored in the memory so as to realize the operation safety check method of the water-light complementary system.
On the basis of the above, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, the method for checking the operation safety of the water-light complementary system is implemented.
According to the operation safety check method and device for the water-light complementary system and the electronic equipment, the target safety response parameter is obtained by determining the sampling configuration point parameter of the power generation power of the photovoltaic system in the water-light complementary system and performing simulation calculation by adopting electric power system calculation and analysis software based on the sampling configuration point parameter and the electric parameters of the water-light complementary system and an accessed power grid, so that the operation safety check result of the water-light complementary system can be determined based on the confidence probability distribution parameter corresponding to the target safety response parameter, and the operation safety check of the water-light complementary system is completed. Therefore, when simulation calculation is carried out, sampling configuration point parameters of the photovoltaic system are considered, and electric power system calculation analysis software is adopted, so that the obtained target safety response parameters have higher reliability, the obtained operation safety check result can effectively reflect the operation safety state of the actually-operated water-light complementary system, the purpose of effectively checking the operation safety of the water-light complementary system is further realized, the accident occurrence frequency of the water-light complementary system can be reduced, and the high use value is achieved.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
Fig. 1 is a block diagram of an electronic device according to an embodiment of the present disclosure.
Fig. 2 is a schematic flow chart of each flow included in the operation safety check method of the water-light complementary system according to the embodiment of the present application.
Fig. 3 is a flowchart illustrating sub-steps included in step S120 in fig. 2.
Fig. 4 is a flowchart illustrating the sub-steps included in step S140 in fig. 2.
Fig. 5 is a schematic diagram of a 9-machine 9-node standard power system of IEEE according to an embodiment of the present application.
Fig. 6 is a schematic diagram of probability distribution based on a power angle difference of the generator in the power system shown in fig. 5 according to an embodiment of the present application.
Fig. 7 is a block diagram schematically illustrating functional modules included in an operation safety check device of a water-light complementary system according to an embodiment of the present application.
Icon: 10-an electronic device; 12-a memory; 14-a processor; 100-operation safety checking device of water light complementary system; 110-an electrical parameter acquisition module; 120-configuration point parameter determination module; 130-a response parameter calculation module; 140-a distribution parameter determination module; 150-checking result determination module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As shown in fig. 1, an electronic device 10 is provided in the embodiments of the present application, which may include a memory 12, a processor 14, and a water-light complementary system operation safety check device 100.
Wherein the memory 12 and the processor 14 are electrically connected directly or indirectly to realize data transmission or interaction. For example, they may be electrically connected to each other via one or more communication buses or signal lines. The operation safety check device 100 of the water-light complementary system comprises at least one software functional module which can be stored in the memory 12 in the form of software or firmware (firmware). The processor 14 is configured to execute an executable computer program stored in the memory 12, for example, a software function module and a computer program included in the operation safety check apparatus 100 of the water-light complementary system, so as to implement an operation safety check method (described later) of the water-light complementary system provided by the embodiment of the present application.
Alternatively, the Memory 12 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 14 may be a general-purpose processor including a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), and the like.
It will be appreciated that the configuration shown in FIG. 1 is merely illustrative and that the electronic device 10 may include more or fewer components than shown in FIG. 1 or may have a different configuration than shown in FIG. 1. For example, the electronic device 10 may further include a communication unit for information interaction with other devices.
With reference to fig. 2, an embodiment of the present application further provides an operation safety checking method of the water-light complementary system applicable to the electronic device 10. Wherein. The method steps defined by the flow related to the operation safety check method of the water-light complementary system can be realized by the electronic device 10.
The specific process shown in FIG. 2 will be described in detail below.
And step S110, acquiring target electrical parameters.
In this embodiment, when the operation safety check of the water-light complementary system is required, the electronic device may first acquire a target electrical parameter corresponding to the water-light complementary system.
The target electrical parameters comprise electrical parameters of a water-light complementary system and electrical parameters of a power grid connected with the water-light complementary system, and the water-light complementary system comprises a photovoltaic system and a water-electricity system.
That is, the target electrical parameters obtained may include electrical parameters of the photovoltaic system, electrical parameters of the hydroelectric system, and electrical parameters of the grid into which it is connected.
And step S120, determining a sampling configuration point parameter of the generating power of the photovoltaic system.
In this embodiment, when the operation safety of the water-light complementary system needs to be checked, since the influence of the photovoltaic system on the operation safety of the water-light complementary system needs to be considered, the electronic device also needs to determine a sampling configuration point parameter of the generated power of the photovoltaic system.
And S130, performing simulation calculation by adopting electric power system calculation analysis software based on the target electrical parameters and the sampling configuration point parameters to obtain target safety response parameters of the water-light complementary system.
In this embodiment, after obtaining the target electrical parameters and the sampling configuration point parameters based on steps S110 and S120, the electronic device may perform simulation calculation through power system calculation and analysis software based on the target electrical parameters and the sampling configuration point parameters, so that corresponding target safety response parameters may be obtained.
Step S140, determining a corresponding confidence probability distribution parameter based on the target safety response parameter.
In this embodiment, after obtaining the target security response parameter based on step S130, the electronic device may determine a confidence probability distribution parameter corresponding to the target security response parameter based on the target security response parameter.
And S150, determining an operation safety check result of the water-light complementary system based on the confidence probability distribution parameter of the target safety response parameter and the corresponding safety threshold parameter.
In this embodiment, after obtaining the confidence probability distribution parameter based on step S140, the electronic device may determine an operation safety check result of the water-light complementary system based on the confidence probability distribution parameter and by combining the safety threshold parameter corresponding to the target safety response parameter.
Based on the method, because the sampling configuration point parameters of the photovoltaic system are considered during simulation calculation, and the calculation and analysis software of the power system is adopted, the obtained target safety response parameters have higher reliability, so that the obtained operation safety check result can effectively reflect the operation safety state of the actually-operated water-light complementary system, the purpose of effectively checking the operation safety of the water-light complementary system is further realized, and the accident occurrence frequency of the water-light complementary system can be reduced.
In the first aspect, it should be noted that, in step S110, specific contents of the obtained target electrical parameters are not limited, and may be selected according to actual application requirements.
For example, in an alternative example, the target electrical parameters may include, but are not limited to, a predicted generated power of a photovoltaic system, a predicted generated power of a hydroelectric system, a predicted load of a water-light complementary system, and a grid topology relationship of an accessed power grid, line parameters, transformer parameters, generator parameters, and the like.
In the second aspect, it should be noted that, in step S120, a specific manner for determining the sampling configuration point parameter is not limited, and may be selected according to actual application requirements.
For example, in an alternative example, in order to fully consider randomness and volatility of the photovoltaic system, in conjunction with fig. 3, step S120 may include step S121, step S122, and step S123, which are described in detail below.
In step S121, the root of the legendre polynomial having the target order is used as the initial configuration point parameter.
In this embodiment, when the sampling configuration point parameters of the generated power of the photovoltaic system need to be configured, a root of a Legendre polynomial (Legendre) having a target order (it can be understood that a specific numerical value of the target order is not limited, and may be determined according to an empirical value, where a larger target order may be set if the accuracy requirement of the checking result is higher) may be used as the initial configuration point parameters, and thus, a plurality of initial configuration point parameters may be obtained.
Wherein the initial configuration point parameter may belong to a first interval (e.g., in an alternative example, the interval may be [ -1, 1 ]).
And S122, determining a generating power fluctuation interval of the photovoltaic system based on the predicted generating power of the photovoltaic system included in the target electrical parameters.
In this embodiment, when the sampled configuration point parameter of the generated power of the photovoltaic system needs to be configured, the generated power fluctuation interval of the photovoltaic system (i.e. the maximum value and the minimum value of the predicted generated power, respectively serving as the upper limit value and the lower limit value of the generated power fluctuation interval) may also be determined based on the predicted generated power of the photovoltaic system in the target electrical parameters obtained by performing step S110.
Step S123, mapping the initial configuration point parameters belonging to the first interval to the generated power fluctuation interval based on a preset rule to obtain corresponding sampling configuration point parameters.
In this embodiment, after the initial configuration point parameter and the generated power fluctuation interval are obtained based on steps S121 and S122, the initial configuration point parameter belonging to the first interval may be mapped to the generated power fluctuation interval based on a preset rule, so that a corresponding sampling configuration point parameter may be obtained.
Optionally, in step S123, a specific manner of the preset rule is not limited, and may be selected according to an actual application requirement.
For example, in an alternative example, the preset rule may include:
wherein x isiConfiguring a point parameter, r, for said samplingiFor the initial configuration point parameter, PmaxIs the upper limit value, P, of the generated power fluctuation intervalminAnd N +1 is the target order and is the lower limit value of the generated power fluctuation interval.
In the third aspect, it should be noted that, in step S130, a specific manner of performing the simulation calculation is not limited, and may be selected according to actual application requirements.
For example, in an alternative example, the power system calculation and analysis software may refer to BPA application software (refer to a power system calculation and analysis software package introduced and developed by the institute of electrical power science, china), and thus, the BPA application software may be used for simulation calculation based on the target electrical parameters and the sampling configuration point parameters, so as to obtain the target safety response parameters.
The specific type of the obtained target safety response parameter is not limited and can be selected according to the actual application requirements.
For example, in an alternative example, the node voltage safety response parameter, the generator power angle safety response parameter, and the system frequency safety response parameter may be calculated through simulation, so that a plurality of target safety response parameters may be obtained.
It should be noted that, for the obtained multiple sampling configuration point parameters, simulation calculation may be performed by the power system calculation and analysis software based on each sampling configuration point parameter, so that a target safety response parameter corresponding to each sampling configuration point parameter may be obtained.
That is, in an alternative example, for a plurality of the sampling configuration point parameters, a plurality of node voltage safety response parameters, a plurality of generator power angle safety response parameters, and a plurality of system frequency safety response parameters may be obtained.
In the fourth aspect, it should be noted that, in step S140, a specific manner for determining the confidence probability distribution parameter is not limited, and may be selected according to actual application requirements.
For example, in an alternative example, in order to fully consider the randomness and the volatility of the photovoltaic system, so that the obtained check result has high reliability, in conjunction with fig. 4, step S140 may include step S141, step S142, and step S143, which is described in detail below.
And step S141, calculating the expansion coefficient of the chaotic polynomial based on the target safety response parameter.
In this embodiment, for each obtained target safety response parameter, the expansion coefficient of the chaotic polynomial corresponding to the target safety response parameter may be calculated respectively.
For example, in an alternative example, for the node voltage safety response parameter, the corresponding expansion coefficient may be calculated based on:
wherein, { c0，c1，...，cNIs the expansion coefficient, LN() Is a Legendre polynomial of order N, rN() For the Nth initial configuration point parameter (as described above), determined based on Legendre polynomialsNIs rNAnd V () is a node voltage safety response parameter.
And step S142, determining an objective function relation based on the expansion coefficient.
In the present embodiment, after the expansion coefficients are obtained based on step S141, the corresponding objective function may be determined based on the expansion coefficients.
And the target function relation is used for representing the relation between the random variable and the target safety response quantity. And different expansion coefficients are obtained according to different target safety response parameters, so that different target function relations are obtained.
And S143, obtaining a confidence probability distribution parameter corresponding to the target safety response parameter of the water-light complementary system based on the target function relation.
In this embodiment, after the objective function relationship is obtained based on step S142, a confidence probability distribution parameter corresponding to a target safety response parameter of the water-light complementary system may be obtained based on the objective function relationship, for example, a confidence probability distribution parameter corresponding to a node voltage may be obtained for a node voltage safety response parameter.
Optionally, in step S142, the specific manner of determining the objective function relationship is not limited, and may be selected according to the actual application requirement.
For example, in an alternative example, an objective function relationship as described below may be determined based on the expansion coefficients:
wherein y is the target security response quantity, x is the random variable, ciIs the expansion coefficient, LiLegendre polynomials of order i, PmaxIs the upper limit value, P, of the generated power fluctuation interval of the photovoltaic systemminAnd N +1 is the target order of the Legendre polynomial, which is the lower limit value of the generated power fluctuation interval of the photovoltaic system.
Optionally, in step S143, a specific manner of obtaining the confidence probability distribution parameter is not limited, and may be selected according to an actual application requirement.
For example, in an alternative example, in order to improve the efficiency of the operation safety check by effectively reflecting the randomness of the photovoltaic system based on a scene with a smaller scale, the confidence probability distribution parameter can be obtained by a dimension reduction extraction mode.
Based on this, step S143 may include the following sub-steps:
the target function relationship may be randomly sampled based on a Monte Carlo random sampling method (it is understood that, based on different requirements, other random sampling methods may also be adopted), so as to obtain a confidence probability distribution parameter corresponding to a target safety response parameter of the water-light complementary system.
With the aforementioned example, different target safety response parameters (such as node voltage safety response parameters, generator power angle safety response parameters, and system frequency safety response parameters) can be obtained for different requirements, and different target function relationships are correspondingly obtained.
Based on this, in an alternative example, the objective function relationship includes a first objective function relationship, a second objective function relationship, and a third objective function relationship, the expansion coefficient determining the first objective function relationship is obtained based on the node voltage safety response parameter in the objective safety response parameter, the expansion coefficient determining the second objective function relationship is obtained based on the generator power angle safety response parameter in the objective safety response parameter, and the expansion coefficient determining the third objective function relationship is obtained based on the system frequency safety response parameter in the objective safety response parameter.
Therefore, random sampling processing can be carried out on the first target function relation based on a Monte Carlo random sampling method, and a confidence probability distribution parameter corresponding to the node voltage of the water-light complementary system is obtained. And performing random sampling treatment on the second target function relation based on a Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to the power angle difference of the generator of the water-light complementary system. And performing random sampling treatment on the third target function relation based on a Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to the system frequency of the water-light complementary system.
In the fifth aspect, it should be noted that, in step S150, a specific manner of determining the operation safety check result may be to determine whether the probability of one safety response parameter exceeds the safety threshold parameter (for example, 95% according to the actual requirement) based on the obtained confidence probability distribution parameter, and thus, if the probability exceeds the safety threshold parameter, it is unsafe or low in safety.
On the basis of the above example, in order to facilitate understanding of the operation safety check method of the water-light complementary system provided in the embodiment of the present application, and for a clearer explanation, the following specific application example is also provided, and the following specific contents are provided.
The present example is described based on the 9-machine 9-node standard power system of IEEE with reference to fig. 5. Wherein G1 and G2 are cascade hydroelectric system, G3 node is random photovoltaic system, the fluctuation range of the predicted generating power of the photovoltaic system is [0.8, 2.2], thus, a cascade water-light complementary system can be formed, and the equipment parameter is the typical parameter of IEEE9 node.
And 2, calculating the safety response parameters of the system. Sequentially carrying out simulation analysis on the sampling configuration points by adopting BPA application software to obtain response parameters of the power grid system, wherein taking the power angle difference of G1 and G2 10s after fault disturbance as an example, the corresponding response parameters are as follows: {1.60031,1.62374,1.5068,1.31337,1.16755,1.09747}.
And 3, calculating a confidence probability distribution parameter. The coefficients of the polynomial chaotic expansion are calculated as: {1.39439, -0.316118, -0.0462191,0.0682073, -0.0197361,0.00243383}. Therefore, an objective functional relationship between the random variable and the safety response quantity of the power grid system is obtained, namely:
y＝-1.83641+10.0582·x-10.6519·x2+5.15865·x3-1.21491·x4+0.114038·x5。
wherein, the Monte Carlo random sampling frequency is set to be 1000 times, and the target function relation is randomly sampled to obtain the probability distribution of the power angle difference (as shown in fig. 6).
And 4, judging the operation safety of the cascade water-light complementary system from the power angle stability angle of the generator by combining the probability distribution and a predetermined power angle difference threshold value.
With reference to fig. 7, an operation safety check apparatus 100 of the water-light complementary system applicable to the electronic device 10 is further provided in the embodiment of the present application. The operation safety checking device 100 of the water-light complementary system may include an electrical parameter obtaining module 110, a configuration point parameter determining module 120, a response parameter calculating module 130, a distribution parameter determining module 140, and a checking result determining module 150.
The electrical parameter obtaining module 110 may be configured to obtain a target electrical parameter, where the target electrical parameter includes an electrical parameter of a water-light complementary system and an electrical parameter of a power grid to which the water-light complementary system is connected, and the water-light complementary system includes a photovoltaic system and a hydro-electric system. In this embodiment, the electrical parameter obtaining module 110 may be configured to execute step S110 shown in fig. 2, and reference may be made to the foregoing description of step S110 for relevant contents of the electrical parameter obtaining module 110.
The configuration point parameter determination module 120 may be configured to determine a sampling configuration point parameter of the generated power of the photovoltaic system. In this embodiment, the configuration point parameter determining module 120 may be configured to perform step S120 shown in fig. 2, and reference may be made to the foregoing description of step S120 for relevant contents of the configuration point parameter determining module 120.
The response parameter calculation module 130 may be configured to perform simulation calculation by using power system calculation analysis software based on the target electrical parameter and the sampling configuration point parameter, so as to obtain a target safety response parameter of the underwater light complementary system. In this embodiment, the response parameter calculating module 130 may be configured to execute step S130 shown in fig. 2, and reference may be made to the foregoing description of step S130 for relevant contents of the response parameter calculating module 130.
The distribution parameter determination module 140 may be configured to determine a corresponding confidence probability distribution parameter based on the target security response parameter. In this embodiment, the distribution parameter determining module 140 may be configured to execute step S140 shown in fig. 2, and reference may be made to the foregoing description of step S140 regarding the relevant content of the distribution parameter determining module 140.
The check result determining module 150 may be configured to determine an operation safety check result of the water-light complementary system based on the confidence probability distribution parameter of the target safety response parameter and the corresponding safety threshold parameter. In this embodiment, the check result determining module 150 may be configured to execute step S150 shown in fig. 2, and reference may be made to the foregoing description of step S150 for relevant contents of the check result determining module 150.
In the embodiment of the application, a computer-readable storage medium is also provided, which corresponds to the operation safety checking method of the water-light complementary system. Wherein. The computer readable storage medium stores a computer program, and the computer program executes the steps of the operation safety check method of the water-light complementary system when running.
The steps executed during the operation of the computer program are not described in detail herein, and reference may be made to the explanation of the operation safety checking method for the water-light complementary system.
In summary, according to the operation safety check method and device for the water-light complementary system and the electronic device, the target safety response parameter is obtained by determining the sampling configuration point parameter of the power generation power of the photovoltaic system in the water-light complementary system and performing simulation calculation by using the power system calculation and analysis software based on the sampling configuration point parameter and the electrical parameters of the water-light complementary system and the accessed power grid, so that the operation safety check result of the water-light complementary system can be determined based on the confidence probability distribution parameter corresponding to the target safety response parameter, and the operation safety check of the water-light complementary system is completed. Therefore, when simulation calculation is carried out, sampling configuration point parameters of the photovoltaic system are considered, and electric power system calculation analysis software is adopted, so that the obtained target safety response parameters have higher reliability, the obtained operation safety check result can effectively reflect the operation safety state of the actually-operated water-light complementary system, the purpose of effectively checking the operation safety of the water-light complementary system is further realized, the accident occurrence frequency of the water-light complementary system can be reduced, and the high use value is achieved.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures.
For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, an electronic device, or a network device) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. An operation safety check method of a water-light complementary system is characterized by comprising the following steps:
acquiring target electrical parameters, wherein the target electrical parameters comprise electrical parameters of a water-light complementary system and electrical parameters of a power grid accessed by the water-light complementary system, and the water-light complementary system comprises a photovoltaic system and a water-electricity system;
determining a sampling configuration point parameter of the generating power of the photovoltaic system;
performing simulation calculation by adopting electric power system calculation analysis software based on the target electrical parameters and the sampling configuration point parameters to obtain target safety response parameters of the water-light complementary system;
determining a corresponding confidence probability distribution parameter based on the target safety response parameter;
determining an operation safety check result of the water-light complementary system based on the confidence probability distribution parameter of the target safety response parameter and the corresponding safety threshold parameter;
wherein the step of determining a sampling configuration point parameter of the generated power of the photovoltaic system comprises:
taking a root of a Legendre polynomial with a target order as an initial configuration point parameter, wherein the initial configuration point parameter belongs to a first interval;
determining a generating power fluctuation interval of the photovoltaic system based on the predicted generating power of the photovoltaic system, wherein the predicted generating power of the photovoltaic system is included in the target electrical parameters;
and mapping the initial configuration point parameters belonging to the first interval to the generated power fluctuation interval based on a preset rule to obtain corresponding sampling configuration point parameters.
2. The operation safety check method of the water-light complementary system according to claim 1, wherein the preset rule comprises:
wherein x isiConfiguring a point parameter, r, for said samplingiFor the initial configuration point parameter, PmaxIs the upper limit value, P, of the generated power fluctuation intervalminAnd N +1 is the target order and is the lower limit value of the generated power fluctuation interval.
3. The operation safety check method of the water-light complementary system according to claim 1 or 2, wherein the step of determining the corresponding confidence probability distribution parameter based on the target safety response parameter comprises:
calculating an expansion coefficient of a chaotic polynomial based on the target safety response parameter;
determining an objective function relation based on the expansion coefficient, wherein the objective function relation is used for representing the relation between the random variable and the target safety response quantity;
and obtaining a confidence probability distribution parameter corresponding to the target safety response parameter of the water-light complementary system based on the target function relation.
4. The operation safety check method of the water-light complementary system according to claim 3, wherein the objective function relationship comprises:
wherein y is the target security response quantity, x is the random variable, ciIs the expansion coefficient, LiLegendre polynomials of order i, PmaxIs the upper limit value, P, of the generated power fluctuation interval of the photovoltaic systemminAnd N +1 is the target order of the Legendre polynomial, which is the lower limit value of the generated power fluctuation interval of the photovoltaic system.
5. The operation safety check method of the water-light complementary system according to claim 3, wherein the step of obtaining the confidence probability distribution parameter corresponding to the target safety response parameter of the water-light complementary system based on the objective function relationship comprises:
and carrying out random sampling treatment on the target function relation based on a Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to a target safety response parameter of the water-light complementary system.
6. The operation safety check method of the water-light complementary system according to claim 5, wherein the objective function relationship comprises a first objective function relationship, a second objective function relationship and a third objective function relationship, the expansion coefficient of the first objective function relationship is determined to be obtained based on the node voltage safety response parameter in the objective safety response parameter, the expansion coefficient of the second objective function relationship is determined to be obtained based on the generator power angle safety response parameter in the objective safety response parameter, and the expansion coefficient of the third objective function relationship is determined to be obtained based on the system frequency safety response parameter in the objective safety response parameter;
the step of performing random sampling processing on the target function relation based on the Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to a target safety response parameter of the water-light complementary system comprises the following steps:
performing random sampling treatment on the first target function relation based on a Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to the node voltage of the water-light complementary system;
performing random sampling treatment on the second target function relation based on a Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to the power angle difference of the generator of the water-light complementary system;
and performing random sampling treatment on the third target function relation based on a Monte Carlo random sampling method to obtain a confidence probability distribution parameter corresponding to the system frequency of the water-light complementary system.
7. An operation safety check device of a water-light complementary system is characterized by comprising:
the system comprises an electric parameter acquisition module, a water-light complementary system and a power grid, wherein the electric parameter acquisition module is used for acquiring a target electric parameter, the target electric parameter comprises an electric parameter of the water-light complementary system and an electric parameter of the power grid connected with the water-light complementary system, and the water-light complementary system comprises a photovoltaic system and a water-electricity system;
the configuration point parameter determining module is used for determining sampling configuration point parameters of the generating power of the photovoltaic system;
the response parameter calculation module is used for carrying out simulation calculation by adopting electric power system calculation analysis software based on the target electrical parameters and the sampling configuration point parameters to obtain target safety response parameters of the water-light complementary system;
the distribution parameter determining module is used for determining corresponding confidence probability distribution parameters based on the target safety response parameters;
the checking result determining module is used for determining the operation safety checking result of the water-light complementary system based on the confidence probability distribution parameter of the target safety response parameter and the corresponding safety threshold parameter;
the method for determining the sampling configuration point parameters of the generated power of the photovoltaic system by the configuration point parameter determination module comprises the following steps:
taking a root of a Legendre polynomial with a target order as an initial configuration point parameter, wherein the initial configuration point parameter belongs to a first interval;
determining a generating power fluctuation interval of the photovoltaic system based on the predicted generating power of the photovoltaic system, wherein the predicted generating power of the photovoltaic system is included in the target electrical parameters;
and mapping the initial configuration point parameters belonging to the first interval to the generated power fluctuation interval based on a preset rule to obtain corresponding sampling configuration point parameters.
8. An electronic device, comprising:
a memory for storing a computer program;
a processor connected to the memory for executing the computer program stored in the memory to implement the operation safety check method of the water-light complementary system of any one of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed, implements the method for checking the operation safety of the water-light complementary system according to any one of claims 1 to 6.
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