CN115511384B - Power scheduling method, device, equipment and medium for distributed solar power generation - Google Patents
Power scheduling method, device, equipment and medium for distributed solar power generation Download PDFInfo
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Abstract
The invention relates to a power dispatching method, a device, equipment and a medium for distributed solar power generation, which comprise the following steps: generating power generation characteristics of distributed solar energy, and performing cluster analysis on the power generation characteristics to obtain hierarchical characteristics of the distributed solar energy; constructing a generating capacity curve of the distributed solar energy according to the hierarchical characteristics; the power generation curve and the priority are configured for the dispatching system corresponding to the distributed solar energy, and the target dispatching system of the distributed solar energy is obtained; and carrying out power dispatching on the generated energy of the distributed solar energy by utilizing the target dispatching system. The invention can improve the power dispatching efficiency of the distributed solar power generation.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a power dispatching method and device for distributed solar power generation, electronic equipment and a computer readable storage medium.
Background
At present, the selection of the power generation mode mainly depends on the constitution of energy resources of each country, the power generation mode is numerous, but the scale is not large, the power utilization is difficult to be tensed, and the situation of insufficient power generation is also caused by limited resources in distributed solar power generation, so that the allocation of the power generation is a critical problem, and the power resource scheduling is often unreasonable by independent relying on human experience and manpower calculation, so that the power scheduling efficiency of the distributed solar power generation is improved, and the problem to be solved urgently is solved.
Disclosure of Invention
The invention provides a power dispatching method and device for distributed solar power generation and a computer readable storage medium, and mainly aims to solve the problem of low efficiency in power dispatching of distributed solar power generation.
In order to achieve the above object, the present invention provides a power dispatching method for distributed solar power generation, including:
generating historical power generation data of distributed solar energy, and extracting characteristics of the historical power generation information to obtain power generation characteristics of the distributed solar energy;
performing cluster analysis on the power generation characteristics according to the electric power influence factors of the distributed solar energy to obtain hierarchical characteristics of the distributed solar energy;
generating a correlation table of the hierarchical features and the power values of the distributed solar energy, and constructing a generating capacity curve of the distributed solar energy according to the correlation table;
configuring an expected power algorithm for a dispatching system corresponding to the distributed solar energy according to the generated energy curve to obtain a primary dispatching system of the distributed solar energy;
performing priority configuration of power dispatching on the primary dispatching system of the distributed solar energy according to a preset power dispatching priority to obtain a target dispatching system of the distributed solar energy;
And carrying out power dispatching on the generated energy of the distributed solar energy by utilizing the target dispatching system.
Optionally, the feature extracting the historical power generation information to obtain the power generation feature of the distributed solar energy includes:
performing data cleaning on the historical power generation information to obtain standard data of the historical power generation information;
performing word segmentation processing on the standard data to obtain standard word segmentation of the standard data;
vectorizing the standard word segmentation, obtaining a standard word vector of the standard word segmentation;
vector splicing is carried out on the standard word vectors to obtain a standard matrix of the standard word vectors, and the standard matrix is determined to be the power generation characteristic of the distributed solar energy.
Optionally, the performing data cleaning on the historical power generation information to obtain standard data of the historical power generation information includes:
calculating the variance ratio of the random variable group in the historical power generation information by using the following joint hypothesis algorithm:
wherein F is the variance ratio of the random variable group in the historical power generation information,
representing the variance of the ith group of random variables in the historical power generation information,/and>
representing the variance of the j-th set of random variables in the historical power generation information,/and >
Average value of the i-th group random variable representing the historical power generation information,/and>
representing the average value of the j-th group of random variables in the historical power generation information, wherein N represents the group number of the random variable group, i is the identification of the random variable group, and j is the identification of the random variable group;
and filtering the abnormal value of the historical power generation information according to the variance ratio to obtain standard data of the historical power generation information.
Optionally, the clustering analysis is performed on the power generation characteristics according to the power influence factors of the distributed solar energy to obtain the hierarchical characteristics of the distributed solar energy, including:
performing dimension reduction processing on the power generation characteristics to obtain dimension reduction characteristics of the power generation characteristics;
generating a plurality of influence factor vectors of the electric power influence factors of the distributed solar energy according to a preset vector model;
selecting one of the influence factor vectors one by one as a target factor vector, and calculating a feature distance value between the dimension reduction feature and the target factor vector;
and clustering the dimension reduction features according to the feature distance values to obtain the hierarchical features of the distributed solar energy.
Optionally, the clustering analysis is performed on the power generation characteristics according to the power influence factors of the distributed solar energy to obtain the hierarchical characteristics of the distributed solar energy, including:
Determining an integer programming function when the power generation characteristics are clustered according to the electric power influence factors of the distributed solar energy;
generating a first-level feature set of the power generation feature according to the integer programming function, and calculating a clustering index of the first-level feature set according to a preset clustering index algorithm;
continuously optimizing the clustering form of the power generation characteristics according to the clustering index until the clustering index is larger than a preset clustering threshold value, and determining the clustering form for clustering the power generation characteristics;
and clustering the power generation characteristics in groups according to the determined clustering form to obtain the hierarchical characteristics of the distributed solar energy.
Optionally, the building the power generation capacity curve of the distributed solar energy according to the association table includes:
generating a rectangular coordinate system of the hierarchical features and the electric power value of the distributed solar energy according to the association table;
generating a characteristic pair of the distributed solar energy according to the hierarchical characteristic and the power value, and determining a power coordinate point in the rectangular coordinate system according to the characteristic pair;
and performing curve fitting on the electric power coordinate points by using a least square method to obtain a power generation amount curve of the distributed solar energy.
Optionally, the configuring the priority of power scheduling for the primary scheduling system of distributed solar energy according to a preset power scheduling priority includes:
generating priority weights of the power influence factors according to the preset power dispatching priorities;
generating a hierarchical weight of the distributed solar energy according to the priority weight and the power influencing factor;
and carrying out priority configuration of power dispatching on the primary dispatching system of the distributed solar energy according to the hierarchical weight to obtain the target dispatching system of the distributed solar energy.
In order to solve the above problems, the present invention also provides a power dispatching device for distributed solar power generation, the device comprising:
the power generation characteristic module is used for generating historical power generation data of the distributed solar energy, and extracting characteristics of the historical power generation information to obtain power generation characteristics of the distributed solar energy;
the hierarchical feature module is used for carrying out cluster analysis on the power generation features according to the electric power influence factors of the distributed solar energy to obtain hierarchical features of the distributed solar energy;
the generating capacity curve module is used for generating a correlation table of the hierarchical characteristics and the electric power value of the distributed solar energy, and constructing a generating capacity curve of the distributed solar energy according to the correlation table;
The algorithm configuration module is used for configuring an expected power algorithm for the dispatching system corresponding to the distributed solar energy according to the generating capacity curve to obtain a primary dispatching system of the distributed solar energy;
the priority configuration module is used for carrying out priority configuration of power dispatching on the primary dispatching system of the distributed solar energy according to a preset power dispatching priority to obtain a target dispatching system of the distributed solar energy;
and the power dispatching module is used for carrying out power dispatching on the generated energy of the distributed solar energy by utilizing the target dispatching system.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the power scheduling method of distributed solar power generation described above.
In order to solve the above-mentioned problems, the present invention also provides a computer-readable storage medium having stored therein at least one computer program that is executed by a processor in an electronic device to implement the above-mentioned power scheduling method of distributed solar power generation.
According to the embodiment of the invention, the historical power generation information of the distributed solar energy is subjected to characteristic extraction to obtain the power generation characteristics of the distributed solar energy, so that the historical power generation information still has good separability, the subsequent learning and generalization steps are promoted, the power generation characteristics are subjected to dimension reduction treatment, the dimension reduced power generation characteristics are subjected to clustering analysis according to the characteristic distance, the dimension disaster of the power generation characteristics is effectively avoided, the characteristic distance is easy and convenient to calculate, the clustering analysis is performed on the power generation characteristics by using a clustering index to ensure that the obtained clustering form is global optimal, the power generation capacity curve of the distributed solar energy is constructed according to the hierarchical characteristics and the least square method, the unique optimal solution can be obtained, meanwhile, the power utilization rate is improved by estimating the result of certain positions without measurement conditions by using the power generation capacity curve, and the power scheduling efficiency of the distributed solar energy is maximized by configuring the power generation capacity curve and the priority. Therefore, the invention provides a power dispatching method, a device, electronic equipment and a computer readable storage medium for distributed solar power generation, which can solve the problem of lower power dispatching efficiency of the distributed solar power generation.
Drawings
Fig. 1 is a schematic flow chart of a power dispatching method for distributed solar power generation according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method for generating hierarchical features according to feature distance values according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for generating hierarchical features according to a cluster index according to an embodiment of the present invention;
FIG. 4 is a functional block diagram of a power dispatching device for distributed solar power generation according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for implementing the power dispatching method for distributed solar power generation according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a power scheduling method for distributed solar power generation. The execution subject of the power scheduling method of distributed solar power generation includes, but is not limited to, at least one of a server, a terminal, and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the power scheduling method of the distributed solar power generation may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content distribution network (Content DeliveryNetwork, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flow chart of a power dispatching method for distributed solar power generation according to an embodiment of the invention is shown. In this embodiment, the power scheduling method for distributed solar power generation includes:
s1, generating historical power generation data of distributed solar energy, and extracting features of the historical power generation information to obtain power generation features of the distributed solar energy.
In an embodiment of the present invention, the historical power generation data of the distributed solar energy includes, but is not limited to: the power generation amount of the distributed solar energy and the influencing factors of the power generation amount, wherein the influencing factors include but are not limited to: the quality of the distributed solar photovoltaic module, the installation mode of the distributed solar photovoltaic bracket, the cleaning and maintenance of the distributed solar photovoltaic panel, the PID effect, the weather factor, the shadow shielding, the temperature coefficient and the like.
Further, the PID effect refers to that in the long-term operation of the distributed solar panel outside, as water vapor permeates into the solar panel through the back plate to cause EVA hydrolysis, acetate ions precipitate metal ions in glass, so that high bias voltage exists between an internal circuit of the solar panel and the frame to cause attenuation of electrical performance and rapid decline of power generation; because the irradiation intensity of sunlight is reduced in overcast and rainy weather and when a cloud layer is thicker, the sunlight absorbed by a battery piece is less, the generated energy is reduced, the single crystal weak light response under low irradiation is better than that of polycrystal, under the condition that the conversion efficiency of the solar panel is fixed, the generated energy of a photovoltaic system is determined by the radiation intensity of the sun, the generated energy of the distributed solar energy is directly related to the solar radiation amount, and the radiation intensity and the spectral characteristics of the sun are changed along with meteorological conditions, so that the weather factor is one of influencing factors of the generated energy; the total solar radiation amount on the inclined plane and the direct dispersion separation principle of the solar radiation can be known, the total solar radiation amount on the inclined plane is composed of direct solar radiation amount, sky scattering amount and ground reflection radiation amount, so that the solar radiation amount is different in absorption and accumulation amounts due to different bracket installation inclination angles on the same geographic position, and the solar radiation amount is different in accumulation amount, so that the installation mode of the photovoltaic bracket is also one of influence factors of the generated energy.
In detail, extracting the power generation characteristics of the distributed solar energy refers to establishing non-redundant derived values from the historical power generation information, thereby facilitating subsequent learning and generalization steps and in some cases leading to better interpretability; by mapping the historical power generation information from the high-dimensional feature space to the low-dimensional feature space, the mapped historical power generation information still has good separability.
In the embodiment of the present invention, the feature extraction of the historical power generation information to obtain the power generation feature of the distributed solar energy includes:
performing data cleaning on the historical power generation information to obtain standard data of the historical power generation information;
performing word segmentation processing on the standard data to obtain standard word segmentation of the standard data;
vectorizing conversion is carried out on the standard word segmentation to obtain a standard word vector of the standard word segmentation;
vector splicing is carried out on the standard word vectors to obtain a standard matrix of the standard word vectors, and the standard matrix is determined to be the power generation characteristic of the distributed solar energy.
In the embodiment of the invention, the data cleaning refers to a process of rechecking and checking the information risk cases, and aims to delete repeated information, correct existing errors and provide data consistency; the data cleansing refers to finding and correcting identifiable errors in the information risk cases, including checking data consistency, processing invalid values and missing values, and the like.
In detail, the step of performing data cleaning on the historical power generation information to obtain standard data of the historical power generation information includes:
calculating the variance ratio of the random variable group in the historical power generation information by using the following joint hypothesis algorithm:
wherein F is the variance ratio of the random variable group in the historical power generation information,
representing the variance of the ith group of random variables in the historical power generation information,/and>
representing the variance of the j-th set of random variables in the historical power generation information,/and>
average value of the i-th group random variable representing the historical power generation information,/and>
representing the average value of the j-th group of random variables in the historical power generation information, wherein N represents the group number of the random variable group, i is the identification of the random variable group, and j is the identification of the random variable group;
and filtering the abnormal value of the historical power generation information according to the variance ratio to obtain standard data of the historical power generation information.
In detail, the joint hypothesis algorithm may reject abnormal data in the historical power generation information.
In detail, the word segmentation processing of the standard data refers to filtering the standard data such as removing stop words, removing low-frequency words, converting capital letters into lowercase letters, and the like, and then segmenting the filtered standard data, wherein the stop words refer to words such as the words of "a", "an" and the like or "$", punctuations such as "%", "-and" & "can be filtered out as stop words, and in Chinese words such as" o "," one "," otherwise "and the like or punctuations such as" "," "and" "(6)", can be filtered out as stop words, and the standard data can be subjected to stop word removal processing by utilizing the existing stop word lexicon.
For example: when the filtered standard data is 'Xiaoming Shuoshi graduate in China academy of sciences' and 'Xiaoming Shuoshi graduate in China academy of sciences' is segmented, the 'Xiaoming/Shuoshi/graduate/China/academy of sciences/calculation/institute' is obtained.
In detail, the standard data may be subjected to word segmentation processing by using a pre-trained artificial intelligence model with word segmentation function, to obtain data word segmentation of the standard data, wherein the artificial intelligence model includes, but is not limited to, an NLP (Natural Language Processing ) model, an HMM (HiddenMarkov Model, hidden Markov model).
In the embodiment of the present invention, the vector splicing is performed on the standard word vector to obtain a feature matrix of the standard word vector, including:
counting the vector dimension of each standard word vector in the standard word vectors, and determining the maximum value in the vector dimension as a target length;
extending the vector dimension of each vector in the standard word vectors to the target length by using a preset parameter;
and splicing each vector in the prolonged standard word vectors as a row vector to obtain a feature matrix of the standard word vectors.
For example, the standard word vector includes a vector a: (1, 4, 6), vector B: (2, 3), vector C: (3,7,8,9) determining that the vector dimension of the vector a is 3, the vector dimension of the vector B is 2, and the vector dimension of the vector C is 4, determining that 4 is the target length, and extending the vector dimension of the vector a to 4 by using a preset parameter (such as x) to obtain an extended vector a: (1, 4,6, x), extending the vector dimension of vector B to 4, resulting in an extended vector B: (2, 3, x).
Further, each prolonged standard word vector can be taken as a row vector to be spliced into the following standard matrix:
and S2, performing cluster analysis on the power generation characteristics according to the electric power influence factors of the distributed solar energy to obtain the hierarchical characteristics of the distributed solar energy.
In the embodiment of the invention, the clustering analysis is performed on the power generation characteristics according to the power influence factors of the distributed solar energy so as to simply and quickly learn the independence and the relevance among the characteristics of the distributed solar energy.
In an embodiment of the present invention, referring to fig. 2, the clustering analysis is performed on the power generation characteristics according to the power influencing factors of the distributed solar energy to obtain hierarchical characteristics of the distributed solar energy, where the clustering analysis includes:
S21, performing dimension reduction processing on the power generation characteristics to obtain dimension reduction characteristics of the power generation characteristics;
s22, generating a plurality of influence factor vectors of the electric power influence factors of the distributed solar energy according to a preset vector model;
s23, selecting one of the influence factor vectors one by one as a target factor vector, and calculating a feature distance value between the dimension reduction feature and the target factor vector;
and S24, clustering the dimension reduction features according to the feature distance values to obtain the hierarchical features of the distributed solar energy.
In detail, the dimension reduction processing is performed on the power generation characteristics to avoid dimension disasters of the power generation characteristics, meanwhile, the power generation characteristics are mapped from a matrix form to a vector form, the dimension reduction processing can be performed on the power generation characteristics by using a preset normalization model, the dimension reduction processing can also be performed on the power generation characteristics by using a convolution idea and a pooling idea, wherein the pooling operation mainly comprises average pooling and maximum pooling, and methods such as multidimensional scaling (MDS), equidistant feature mapping (ISOMAP), principal Component Analysis (PCA) and the like can also be used.
Further, the multi-dimensional scaling requires that the distance between the power generation features is maintained in a low-dimensional space, but for effective dimension reduction, only the distance between the dimension reduced and the power generation features is required to be as close as possible, and the distance between the dimension reduced and the power generation features is obtained through the euclidean distance formula.
In detail, the preset vector model may be a Glove model or Word2vec, etc.
In detail, the calculating the feature distance value of the dimension reduction feature and the target factor vector may be performed by using a euclidean distance algorithm, a manhattan distance algorithm, a chebyshev distance algorithm, a mahalanobis distance algorithm, or the like, where the feature distance value is used to characterize the similarity between the dimension reduction feature and the target factor vector.
In detail, the clustering of the dimension reduction features according to the feature distance values is to compare the magnitudes of the feature distance values, and the clustering form of the dimension reduction features is determined according to the comparison result.
In the embodiment of the present invention, referring to fig. 3, the clustering analysis is performed on the power generation characteristics according to the power influencing factors of the distributed solar energy to obtain the hierarchical characteristics of the distributed solar energy, including:
s31, determining an integer programming function when clustering is carried out on the power generation characteristics according to the electric power influence factors of the distributed solar energy;
s32, generating a primary characteristic set of the power generation characteristic according to the integer programming function, and calculating a clustering index of the primary characteristic set according to a preset clustering index algorithm;
S33, continuously optimizing the clustering form of the power generation characteristics according to the clustering index, and determining the clustering form for clustering the power generation characteristics until the clustering index is larger than a preset clustering threshold value;
s34, grouping and clustering the power generation characteristics according to the determined clustering form to obtain the hierarchical characteristics of the distributed solar energy.
In detail, a variable factor and a fixed factor among the power influencing factors are determined, wherein the fixed factor includes, but is not limited to, a photovoltaic material of the distributed solar energy, a solar light panel of the distributed solar energy, and an inclination angle of the solar light panel, and the variable factor includes, but is not limited to: solar radiation intensity at a target date, solar spectral characteristics at the target date, temperature at the target date, etc.
In detail, an integer programming function when the power generation features are clustered is determined according to the variable factors and the fixed factors.
Further, the preset clustering index algorithm is as follows:
wherein i is the identification of the feature group in the primary feature set, ub i Is the clustering index of the primary feature set, x i Is the first level feature set feature group of the i-th group, 
A matrix mean representing all of the feature groups in the primary feature set,
representing the matrix variance of all feature groups in all the primary feature sets, l is the total number of feature groups in the primary feature set.
Further, the continuous optimization of the cluster form of the power generation features according to the cluster index is to ensure that the cluster form is globally optimal, and the optimal cluster form of the power generation features is obtained by continuous iterative processing of the primary feature set.
And S3, generating a correlation table of the hierarchical characteristics and the electric power value of the distributed solar energy, and constructing a generating capacity curve of the distributed solar energy according to the correlation table.
In the embodiment of the invention, because the data of the hierarchical features are more, the macro structure of the data is complicated, the state is irregular, the relation model causes a large number of connection, sparse rows and non-empty check logics, the connectivity enhancement in the relation world is converted into the increase of connection operation, which can obstruct the performance, the association storage of the hierarchical features and the power values of the distributed solar energy can increase the connectivity between the hierarchical features and the power values of the distributed solar energy, and the retrieval is convenient.
In an embodiment of the present invention, the constructing the power generation amount curve of the distributed solar energy according to the association table includes:
generating a rectangular coordinate system of the hierarchical features and the electric power value of the distributed solar energy according to the association table;
generating a characteristic pair of the distributed solar energy according to the hierarchical characteristic and the power value, and determining a power coordinate point in the rectangular coordinate system according to the characteristic pair;
and performing curve fitting on the electric power coordinate points by using a least square method to obtain a power generation amount curve of the distributed solar energy.
In detail, the curve fitting refers to a functional relationship between coordinates represented by a set of discrete points on a continuous curve approximately depicted or simulated plane; generating power coordinate points as a plurality of discrete data, according to the power coordinate points, if a continuous function or a denser discrete equation can be found, so that the power coordinate points and the power generation curve of the distributed solar energy can be approximately matched to the greatest extent, mathematical calculation can be performed on the data according to the power generation curve of the distributed solar energy, theoretical analysis can be performed on experimental results, and even estimation can be performed on results of certain positions without measurement conditions, for example: a desired power generation amount for a day in the future is generated.
In detail, since the least square method has a unique optimal solution and is convenient to solve, the power coordinate points are curve-fitted by using the least square method.
And S4, configuring an expected power algorithm for the dispatching system corresponding to the distributed solar energy according to the generated energy curve to obtain a primary dispatching system of the distributed solar energy.
In the embodiment of the invention, the configuration of the expected power algorithm for the dispatching system corresponding to the distributed solar energy according to the power generation amount curve is to configure parameters and functions for the dispatching system according to the power generation amount function generated by the power generation amount curve, and the data in the dispatching system of the distributed solar energy can be analyzed by the power generation amount curve.
For example, the primary scheduling system obtained after the power generation curve configuration can generate expected power generation on future date, and power allocation can be performed according to the expected power generation, so that power resource waste is avoided, and power utilization rate is improved.
And S5, performing priority configuration of power dispatching on the primary dispatching system of the distributed solar energy according to a preset power dispatching priority to obtain the target dispatching system of the distributed solar energy.
In the embodiment of the invention, when the generated energy of the distributed solar energy is insufficient, the power dispatching degree is required to be achieved according to the preset power dispatching priority; when the generated energy of the distributed solar energy is sufficient, the maximum benefit is required to be generated according to the preset power dispatching priority.
In the embodiment of the present invention, the configuring the priority of power scheduling for the primary scheduling system of distributed solar energy according to the preset power scheduling priority includes:
generating priority weights of the power influence factors according to the preset power dispatching priorities;
generating a hierarchical weight of the distributed solar energy according to the priority weight and the power influencing factor;
and carrying out priority configuration of power dispatching on the primary dispatching system of the distributed solar energy according to the hierarchical weight to obtain the target dispatching system of the distributed solar energy.
In detail, the preset power scheduling priority refers to determining the power supplied by the user side as a first level, the stored power as a second level and the customer power as a third level, and the importance of the priority is gradually decreased from the first level to the second level and from the second level to the third level.
In detail, the priority weight is determined according to the preset power scheduling priority and the power demand of each power scheduling priority, for example: when the power generation amount of the distributed solar energy is sufficient, the priority weight of the power supplied by the user side is 20%, the priority weight of the stored energy power is 10%, and the priority weight of the customer power is 70%; when the power generation amount of the distributed solar energy is insufficient, the user side supply power is prioritized.
And S6, performing power dispatching on the generated energy of the distributed solar energy by using the target dispatching system.
In the embodiment of the invention, a certain date is selected as a target date, whether the generated energy of the distributed solar energy is sufficient or not is judged according to the generated energy of the distributed solar energy generated by the target scheduling system on the target date, and power scheduling is carried out on the generated energy according to a judging result.
Further, when the generated energy is sufficient, carrying out power scheduling on the generated energy according to the priority weight; when the generated energy can meet the power supplied by the user side and the stored energy power but cannot meet the power supplied by the user side, preferentially meeting the power supplied by the user side and the stored energy power; when the generated energy can meet the power supplied by the user side but cannot meet the power supplied by the user side and the stored energy power, preferentially meeting the power supplied by the user side; when the generated energy can not meet the power supply of the user side, the power supply of the user side is preferentially met, and the power supply of the user side is ensured by calling the previous energy storage power.
According to the embodiment of the invention, the historical power generation information of the distributed solar energy is subjected to characteristic extraction to obtain the power generation characteristics of the distributed solar energy, so that the historical power generation information still has good separability, the subsequent learning and generalization steps are promoted, the power generation characteristics are subjected to dimension reduction treatment, the dimension reduced power generation characteristics are subjected to clustering analysis according to the characteristic distance, the dimension disaster of the power generation characteristics is effectively avoided, the characteristic distance is easy and convenient to calculate, the clustering analysis is performed on the power generation characteristics by using a clustering index to ensure that the obtained clustering form is global optimal, the power generation capacity curve of the distributed solar energy is constructed according to the hierarchical characteristics and the least square method, the unique optimal solution can be obtained, meanwhile, the power utilization rate is improved by estimating the result of certain positions without measurement conditions by using the power generation capacity curve, and the power scheduling efficiency of the distributed solar energy is maximized by configuring the power generation capacity curve and the priority. Therefore, the invention provides the power dispatching method for the distributed solar power generation, which can solve the problem of lower power dispatching efficiency of the distributed solar power generation.
Fig. 4 is a functional block diagram of a power dispatching device for distributed solar power generation according to an embodiment of the present invention.
The power dispatching device 100 for distributed solar power generation can be installed in electronic equipment. Depending on the functions implemented, the power dispatching device 100 for distributed solar power generation may include a power generation feature module 101, a hierarchy feature module 102, a power generation curve module 103, an algorithm configuration module 104, a priority configuration module 105, and a power dispatching module 106. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the power generation characteristic module 101 is configured to generate historical power generation data of distributed solar energy, and perform characteristic extraction on the historical power generation information to obtain power generation characteristics of the distributed solar energy;
the hierarchical feature module 102 is configured to perform cluster analysis on the power generation feature according to the power influencing factor of the distributed solar energy, so as to obtain a hierarchical feature of the distributed solar energy;
The generating capacity curve module 103 is configured to generate a correlation table of the hierarchical features and the power values of the distributed solar energy, and construct a generating capacity curve of the distributed solar energy according to the correlation table;
the algorithm configuration module 104 is configured to perform configuration of an expected power algorithm on the dispatching system corresponding to the distributed solar energy according to the generating capacity curve, so as to obtain a primary dispatching system of the distributed solar energy;
the priority configuration module 105 is configured to perform priority configuration of power scheduling on the primary scheduling system of the distributed solar energy according to a preset power scheduling priority, so as to obtain a target scheduling system of the distributed solar energy;
the power scheduling module 106 is configured to perform power scheduling on the power generation amount of the distributed solar energy by using the target scheduling system.
Fig. 5 is a schematic structural diagram of an electronic device for implementing a power dispatching method for distributed solar power generation according to an embodiment of the present invention.
The electronic device may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as a distributed solar power generation power scheduler.
The processor 10 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing Unit, CPU), a microprocessor, a digital processing chip, a graphics processor, a combination of various control chips, and so on. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects respective components of the entire electronic device using various interfaces and lines, executes or executes programs or modules (e.g., a power scheduler for distributed solar power generation, etc.) stored in the memory 11, and invokes data stored in the memory 11 to perform various functions of the electronic device and process the data.
The memory 11 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory 11 may in other embodiments also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only to store application software installed in an electronic device and various types of data, such as codes of a power scheduler for distributed solar power generation, but also to temporarily store data that has been output or is to be output.
The communication bus 12 may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
The communication interface 13 is used for communication between the electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Only an electronic device having components is shown, and it will be understood by those skilled in the art that the structures shown in the figures do not limit the electronic device, and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The power scheduler of distributed solar power generation stored in the memory 11 in the electronic device is a combination of instructions that, when executed in the processor 10, may implement:
Generating historical power generation data of distributed solar energy, and extracting characteristics of the historical power generation information to obtain power generation characteristics of the distributed solar energy;
performing cluster analysis on the power generation characteristics according to the electric power influence factors of the distributed solar energy to obtain hierarchical characteristics of the distributed solar energy;
generating a correlation table of the hierarchical features and the power values of the distributed solar energy, and constructing a generating capacity curve of the distributed solar energy according to the correlation table;
configuring an expected power algorithm for a dispatching system corresponding to the distributed solar energy according to the generated energy curve to obtain a primary dispatching system of the distributed solar energy;
performing priority configuration of power dispatching on the primary dispatching system of the distributed solar energy according to a preset power dispatching priority to obtain a target dispatching system of the distributed solar energy;
and carrying out power dispatching on the generated energy of the distributed solar energy by utilizing the target dispatching system.
In particular, the specific implementation method of the above instructions by the processor 10 may refer to the description of the relevant steps in the corresponding embodiment of the drawings, which is not repeated herein.
Further, the electronic device integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
generating historical power generation data of distributed solar energy, and extracting characteristics of the historical power generation information to obtain power generation characteristics of the distributed solar energy;
performing cluster analysis on the power generation characteristics according to the electric power influence factors of the distributed solar energy to obtain hierarchical characteristics of the distributed solar energy;
generating a correlation table of the hierarchical features and the power values of the distributed solar energy, and constructing a generating capacity curve of the distributed solar energy according to the correlation table;
configuring an expected power algorithm for a dispatching system corresponding to the distributed solar energy according to the generated energy curve to obtain a primary dispatching system of the distributed solar energy;
performing priority configuration of power dispatching on the primary dispatching system of the distributed solar energy according to a preset power dispatching priority to obtain a target dispatching system of the distributed solar energy;
and carrying out power dispatching on the generated energy of the distributed solar energy by utilizing the target dispatching system.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. A power scheduling method for distributed solar power generation, the method comprising:
Generating historical power generation information of distributed solar energy, and extracting characteristics of the historical power generation information to obtain power generation characteristics of the distributed solar energy;
performing cluster analysis on the power generation characteristics according to the electric power influence factors of the distributed solar energy to obtain hierarchical characteristics of the distributed solar energy;
the clustering analysis is performed on the power generation characteristics according to the electric power influence factors of the distributed solar energy to obtain the hierarchical characteristics of the distributed solar energy, and the clustering analysis comprises the following steps:
determining an integer programming function when the power generation characteristics are clustered according to the electric power influence factors of the distributed solar energy;
generating a first-level feature set of the power generation feature according to the integer programming function, and calculating a clustering index of the first-level feature set according to a preset clustering index algorithm;
continuously optimizing the clustering form of the power generation characteristics according to the clustering index until the clustering index is larger than a preset clustering threshold value, and determining the clustering form for clustering the power generation characteristics;
grouping and clustering the power generation characteristics according to the determined clustering form to obtain the hierarchical characteristics of the distributed solar energy;
Generating a correlation table of the hierarchical features and the power values of the distributed solar energy, and constructing a generating capacity curve of the distributed solar energy according to the correlation table;
the building of the power generation capacity curve of the distributed solar energy according to the association table comprises the following steps:
generating a rectangular coordinate system of the hierarchical features and the electric power value of the distributed solar energy according to the association table;
generating a characteristic pair of the distributed solar energy according to the hierarchical characteristic and the power value, and determining a power coordinate point in the rectangular coordinate system according to the characteristic pair;
performing curve fitting on the electric power coordinate points by using a least square method to obtain a power generation amount curve of the distributed solar energy;
configuring an expected power algorithm for a dispatching system corresponding to the distributed solar energy according to the generated energy curve to obtain a primary dispatching system of the distributed solar energy;
performing priority configuration of power dispatching on the primary dispatching system of the distributed solar energy according to a preset power dispatching priority to obtain a target dispatching system of the distributed solar energy;
and carrying out power dispatching on the generated energy of the distributed solar energy by utilizing the target dispatching system.
2. The power dispatching method of distributed solar power generation according to claim 1, wherein the feature extraction of the historical power generation information to obtain the power generation feature of the distributed solar power comprises:
performing data cleaning on the historical power generation information to obtain standard data of the historical power generation information;
performing word segmentation processing on the standard data to obtain standard word segmentation of the standard data;
vectorizing conversion is carried out on the standard word segmentation to obtain a standard word vector of the standard word segmentation;
vector splicing is carried out on the standard word vectors to obtain a standard matrix of the standard word vectors, and the standard matrix is determined to be the power generation characteristic of the distributed solar energy.
3. The power dispatching method of distributed solar power generation according to claim 2, wherein the step of performing data cleaning on the historical power generation information to obtain standard data of the historical power generation information comprises the steps of:
calculating the variance ratio of the random variable group in the historical power generation information by using the following joint hypothesis algorithm:
wherein ,
for the variance ratio of the set of random variables in the historical power generation information,/>
represents +.f. in the historical power generation information >
Variance of group random variable, ++>
Represents +.f. in the historical power generation information>
Variance of group random variable, ++>
Represents +.f. in the historical power generation information>
Mean value of group random variables,/>
Represents +.f. in the historical power generation information>
Mean value of group random variables,/>
Group number representing the group of random variables, < >>
Is an identification of said set of random variables, +.>
Is an identification of the set of random variables;
and filtering the abnormal value of the historical power generation information according to the variance ratio to obtain standard data of the historical power generation information.
4. The power dispatching method of distributed solar power generation according to claim 1, wherein the clustering analysis is performed on the power generation characteristics according to the power influence factors of the distributed solar power to obtain hierarchical characteristics of the distributed solar power, and the method comprises the following steps:
performing dimension reduction processing on the power generation characteristics to obtain dimension reduction characteristics of the power generation characteristics;
generating a plurality of influence factor vectors of the electric power influence factors of the distributed solar energy according to a preset vector model;
selecting one of the influence factor vectors one by one as a target factor vector, and calculating a feature distance value between the dimension reduction feature and the target factor vector;
And clustering the dimension reduction features according to the feature distance values to obtain the hierarchical features of the distributed solar energy.
5. The power scheduling method for distributed solar power generation according to any one of claims 1 to 4, wherein the configuring of the priority of power scheduling for the primary scheduling system of distributed solar power according to a preset power scheduling priority includes:
generating priority weights of the power influence factors according to the preset power dispatching priorities;
generating a hierarchical weight of the distributed solar energy according to the priority weight and the power influencing factor;
and carrying out priority configuration of power dispatching on the primary dispatching system of the distributed solar energy according to the hierarchical weight to obtain the target dispatching system of the distributed solar energy.
6. A power dispatching device for distributed solar power generation, the device comprising:
the power generation characteristic module is used for generating historical power generation information of the distributed solar energy, and extracting characteristics of the historical power generation information to obtain power generation characteristics of the distributed solar energy;
the hierarchical feature module is used for carrying out cluster analysis on the power generation features according to the electric power influence factors of the distributed solar energy to obtain hierarchical features of the distributed solar energy;
The clustering analysis is performed on the power generation characteristics according to the electric power influence factors of the distributed solar energy to obtain the hierarchical characteristics of the distributed solar energy, and the clustering analysis comprises the following steps:
determining an integer programming function when the power generation characteristics are clustered according to the electric power influence factors of the distributed solar energy;
generating a first-level feature set of the power generation feature according to the integer programming function, and calculating a clustering index of the first-level feature set according to a preset clustering index algorithm;
continuously optimizing the clustering form of the power generation characteristics according to the clustering index until the clustering index is larger than a preset clustering threshold value, and determining the clustering form for clustering the power generation characteristics;
grouping and clustering the power generation characteristics according to the determined clustering form to obtain the hierarchical characteristics of the distributed solar energy;
the generating capacity curve module is used for generating a correlation table of the hierarchical characteristics and the electric power value of the distributed solar energy, and constructing a generating capacity curve of the distributed solar energy according to the correlation table;
the building of the power generation capacity curve of the distributed solar energy according to the association table comprises the following steps:
generating a rectangular coordinate system of the hierarchical features and the electric power value of the distributed solar energy according to the association table;
Generating a characteristic pair of the distributed solar energy according to the hierarchical characteristic and the power value, and determining a power coordinate point in the rectangular coordinate system according to the characteristic pair;
performing curve fitting on the electric power coordinate points by using a least square method to obtain a power generation amount curve of the distributed solar energy;
the algorithm configuration module is used for configuring an expected power algorithm for the dispatching system corresponding to the distributed solar energy according to the generating capacity curve to obtain a primary dispatching system of the distributed solar energy;
the priority configuration module is used for carrying out priority configuration of power dispatching on the primary dispatching system of the distributed solar energy according to a preset power dispatching priority to obtain a target dispatching system of the distributed solar energy;
and the power dispatching module is used for carrying out power dispatching on the generated energy of the distributed solar energy by utilizing the target dispatching system.
7. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the power scheduling method of distributed solar power generation as claimed in any one of claims 1 to 5.
8. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the power scheduling method of distributed solar power generation according to any one of claims 1 to 5.
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