CN113327044B - Collaborative operation quality analysis system of energy hub - Google Patents
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Abstract
The application provides a collaborative operation quality analysis system of an energy hub, which comprises: the acquisition module is used for acquiring historical data information of abnormal operation of each module in the energy hub; the analysis module is used for receiving the acquired information of the acquisition module, and carrying out analysis and calculation according to the acquired information to acquire the relative factors Di of the occurrence probability of the ith module of the energy hub and the occurrence of the abnormality of the other modules of the energy hub; the quality evaluation module calculates an evaluation coefficient S of the energy hub in the current state based on a relative factor Di of each of M modules in the energy hub, and S= (S) 1 ) 2 *logD(1)+(S 2 ) 2 *logD(2)+…+(S i ) 2 *log D(i)+…+(S M ) 2 * log D (M), wherein S i The value range of the state of the ith module in the current state is-10-0, the evaluation coefficient of the running quality of the energy hub in the current state can be calculated through the analysis system, and the cooperative running quality of each module of the current energy hub is evaluated according to the value of the evaluation coefficient.
Description
Technical Field
The application relates to the technical field of electric power, in particular to a collaborative operation quality analysis system of an energy hub.
Background
Comprehensive energy is widely focused by the power industry as a great development strategy of future energy in China. Compared with the traditional power system, the comprehensive energy system has obvious differences in the aspects of user behavior, operation method, demand response and the like, and the market width, time scale and geographic dimension of the traditional power industry are expanded through coupling linkage of multiple types of energy. The Energy Hub (EH) is an aggregate of various Energy utilization forms such as Energy storage, combined cooling heating and power supply, load and the like, is a key link for constructing a comprehensive Energy system, and has recently been paid attention to the power industry.
Comprehensive energy operation quality analysis based on energy hubs is an important means for improving system performance, but a complete evaluation system is lacking at present, and when wind power, photovoltaic, energy storage and other multi-type equipment are connected into a system, the operation quality analysis of the system is more complicated, and difficulties are brought to intelligent operation, maintenance and other aspects.
Disclosure of Invention
In view of the above, the present application provides a collaborative operation quality analysis system of an energy hub, which is used for solving the technical problems set forth in the background art.
The application provides a collaborative operation quality analysis system of an energy hub, which comprises:
the acquisition module is used for acquiring historical data information of abnormal operation of each module in the energy hub;
the analysis module is used for receiving the acquired information of the acquisition module, and carrying out analysis and calculation according to the acquired information to acquire the relative factors Di of the occurrence probability of the ith module of the energy hub and the occurrence of the abnormality of the other modules of the energy hub;
the quality evaluation module is used for calculating the energy under the current state based on the relative factor Di of each module in M modules in the energy hubThe evaluation coefficient S of the quantity junction, then s= (S 1 ) 2 *logD(1)+(S 2 ) 2 *logD(2)+…+(S i ) 2 *log D(i)+…+(S M ) 2 * log d (M); wherein S is i The value range of the i-th module in the current state is-10-0.
Further, the analysis module includes:
the first analysis module is used for acquiring the acquired information of the acquisition module and counting the abnormal probability matrix of each module in the energy hub in cooperative operation;
the second analysis module is used for calculating the relative entropy of the abnormal probability of each module based on the abnormal probability matrix counted by the first analysis module, so as to obtain the relative entropy matrix of each module of the energy hub;
and the third analysis module is used for calculating the relative factors Di of the occurrence probability of the ith module of the energy hub and the occurrence of the abnormality of other modules of the energy hub based on the relative entropy matrix.
Further, the analysis calculation process of the first analysis module includes: acquiring total number G of abnormal occurrence of the ith module according to the historical data of abnormal occurrence of each module i And total number G of abnormal occurrence of the j-th module when abnormal occurrence of the i-th module occurs ij The probability of the occurrence of the abnormality of the jth module when the ith module is abnormal is expressed as P ij ＝G ij /G i Thus, the abnormal probability matrix of each module can be obtained.
Further, the calculating of the relative entropy of the abnormal probability of each module is the calculating of the relative entropy of the cooperative operation quality between each module in the energy storage module, and the calculating process includes: relative entropy KL of cooperative operation quality between ith module and jth module ij Expressed as:and calculating the relative entropy of the cooperative operation quality between each module and other modules to obtain a relative entropy matrix of the energy storage module.
Further, the ith module appearsThe calculation method of the relative factor Di of the abnormality probability and the occurrence of the abnormality of other modules of the energy hub is as follows:wherein MAX i MIN, which is the maximum value in the relative entropy of the ith module i Is the minimum in the relative entropy of the ith module.
The application provides a collaborative operation quality analysis system of an energy hub, which is characterized in that operation historical data of each module of the energy hub is acquired through an acquisition module, the historical data is analyzed through an analysis module, the operation state of each module in the current state is acquired, so that an evaluation coefficient of the operation quality of the energy hub in the current state is calculated, the collaborative operation quality of each module of the current energy hub is evaluated according to the numerical value of the evaluation coefficient, and intelligent operation and maintenance are performed on each module of the energy hub according to the evaluation coefficient.
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Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings.
Fig. 1 is a block diagram of a collaborative operation quality analysis system of an energy hub according to the present application.
Fig. 2 is a matrix chart of abnormal probabilities of each module of the energy hinge in the collaborative operation quality analysis system of the energy hinge provided by the application.
FIG. 3 is a graph of the relative entropy matrix of the energy hinges in the collaborative operation quality analysis system of the energy hinges provided by the application.
Fig. 4 is a schematic diagram of a method for evaluating the collaborative quality of an energy hub by using the collaborative quality analysis system of an energy hub according to the present application.
Detailed Description
The application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be noted that, for convenience of description, only the portions related to the application are shown in the drawings.
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
Example 1
The present application provides a collaborative operation mass analysis system of an energy hub, referring to fig. 1, as a specific embodiment, the mass analysis system includes:
the acquisition module is used for acquiring historical data information of abnormal operation of each module in the energy hub;
the analysis module is used for receiving the acquired information of the acquisition module, and carrying out analysis and calculation according to the acquired information to acquire the relative factors Di of the occurrence probability of the ith module of the energy hub and the occurrence of the abnormality of the other modules of the energy hub;
further, referring to fig. 1, as a specific embodiment, the analysis module includes:
the first analysis module is used for acquiring the acquired information of the acquisition module and counting the abnormal probability matrix of each module in the energy hub in cooperative operation;
specifically, referring to FIG. 2, assume E 1 ，E 2 ，…，E i ，…，E j …，E M Representing all modules of wind power, photovoltaic and energy storage in the comprehensive energy system based on the energy hub, wherein M represents the total number of the modules (i epsilon M, j epsilon M); the analysis and calculation process of the first analysis module comprises the following steps: acquiring total number G of abnormal occurrence of the ith module according to the historical data of abnormal occurrence of each module i And total number G of abnormal occurrence of the j-th module when abnormal occurrence of the i-th module occurs ij The probability of the occurrence of the abnormality of the jth module when the ith module is abnormal is expressed as P ij ＝G ij /G i Thus, an abnormality probability matrix for each module can be obtained, wherein the abnormality probability matrix diagram for each module is referred to in fig. 2.
A second analysis module based on statistics of the first analysis moduleThe abnormal probability matrix carries out relative entropy calculation on the abnormal probability of each module, so as to obtain a relative entropy matrix of the energy storage module; specifically, as a specific implementation manner, the calculation of the relative entropy of the abnormal probability of each module is the calculation of the relative entropy of the cooperative operation quality between each module in the energy storage module, and the calculation process includes: relative entropy KL of cooperative operation quality between ith module and jth module ij Expressed as:thus, the relative entropy of the cooperative operation quality between each module and other modules is calculated, and the relative entropy matrix of the energy storage module is obtained, and referring to fig. 3, a graph of the relative entropy matrix of each module of the energy hub is obtained.
And the third analysis module is used for calculating the relative factors Di of the occurrence probability of the ith module of the energy hub and the occurrence of the abnormality of other modules of the energy hub based on the relative entropy matrix.
Further, after determining the relative entropy matrix chart of each module, the relative factor Di of the abnormality of each module is calculated, referring to fig. 3, for the ith module, KL is the ith row from the system relative entropy matrix i1 ，KL i2 ，…，KL iM The maximum value is determined and recorded as MAX i Similarly, KL is the ith row of the relative entropy matrix of the slave system i1 ，KL i2 ，…，KL iM The minimum value is determined and recorded as MIN i 。
The relative factor expression of the i-th module is: the calculation method of the relative factor Di of the occurrence anomaly probability of the ith module and the occurrence anomalies of other modules of the energy hub is as follows:wherein MAX i MIN, which is the maximum value in the relative entropy of the ith module i Is the minimum in the relative entropy of the ith module.
The quality assessment module, specifically, after calculating the relative factor Di of each module, is based on the relative factor of each of the M modules in the energy hubDi, calculate the evaluation coefficient S of the energy hub in the current state, then S= (S) 1 ) 2 *logD(1)+(S 2 ) 2 *logD(2)+…+(S i ) 2 *log D(i)+…+(S M ) 2 * log d (M); wherein S is i The value range is-10-0 for the state of the ith module in the current state, wherein S i The value of (2) can be defined in advance according to the current working condition of each module, generally, when S i When=0, the current i-th module has normal working state, S i The method comprises the steps of (1) obtaining different values according to the level of abnormality, wherein the working state of the current ith module is early warning, -2-10 is abnormal, the value of (2) is slight failure, -10 is serious failure, and the working state of the current ith module is early warning, and the working state of the current ith module is abnormal, -2-10 is different values according to the level of the abnormal, -2 is slight failure, and the working state of the current ith module is serious failure according to a formula S= (S 1 ) 2 *logD(1)+(S 2 ) 2 *logD(2)+…+(S i ) 2 *log D(i)+…+(S M ) 2 * The log D (M) can calculate the evaluation coefficient S of the current energy hub, and the numerical value of the evaluation coefficient S carries out visual evaluation on the cooperative operation quality of each module of the current energy hub, so that the analysis can be carried out intuitively and scientifically according to the numerical value.
Referring to fig. 4, the method for evaluating the cooperative operation quality of the energy hub by the cooperative operation quality analysis system of the energy hub provided by the application comprises the following steps: step one, acquiring historical working data of M modules in an energy hub, so as to acquire the total number of abnormal conditions of each module, and setting G i The total number of abnormal occurrence of the ith module is G ij ；
Step two, calculating the probability P of the occurrence of the abnormality of the jth module when the ith module is abnormal ij The expression is as follows: p (P) ij ＝G ij /G i Calculating the abnormal probability of other modules when the modules are abnormal by using the same method, forming an abnormal probability matrix of each module, and referring to FIG. 2, forming a graph of the abnormal probability matrix of each module;
step three, the relative entropy KL of the multi-energy cooperative operation quality between the ith module and the jth module ij Then:
and calculating the relative entropy value of the multi-energy cooperative operation quality between each module and other modules of the energy hub by the same method to obtain a relative entropy matrix shown in figure 3.
Step four, calculating relative factors, namely KL from the ith row of the relative entropy matrix aiming at the ith module i1 ，KL i2 ，…，KL iM The maximum value is determined and recorded as MAX i Similarly, KL is the ith row of the relative entropy matrix of the slave system i1 ，KL i2 ，…，KL iM The minimum value is determined and recorded as MIN i The relative factor expression for the ith module is: :
fifthly, analyzing and evaluating the collaborative operation quality of the current energy hub, wherein the state of the current ith module is S i The quality of the co-operation of the modules of the energy hub can be evaluated as: s= (S) 1 ) 2 *logD(1)+(S 2 ) 2 *logD(2)+…+(S i ) 2 *log D(i)+…+(S M ) 2 * log d (M); and evaluating the cooperative operation quality of each module of the energy hub according to the magnitude of the numerical value calculated by the S.
Wherein S is i The value of (2) can be taken according to the state of the current ith module, the range of the value is-10-0, wherein S i The value of (2) can be defined in advance according to the current working condition of each module, generally, when S i When=0, the current i-th module has normal working state, S i The method comprises the steps of (1) obtaining different values according to the level of abnormality, wherein the working state of the current ith module is early warning, -2-10 is abnormal, 2 is a slight fault, and 10 is a serious fault.
The application provides a collaborative operation quality analysis system of an energy hub and an evaluation method of the collaborative operation quality of the energy hub according to the quality analysis system.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the application referred to in the present application is not limited to the specific combinations of the technical features described above, but also covers other technical features formed by any combination of the technical features described above or their equivalents without departing from the inventive concept. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.
Claims (5)
1. A collaborative operation quality analysis system of an energy hub, comprising:
the acquisition module is used for acquiring historical data information of abnormal operation of each module in the energy hub;
the analysis module is used for receiving the acquired information of the acquisition module, and carrying out analysis and calculation according to the acquired information to acquire the relative factors Di of the occurrence probability of the ith module of the energy hub and the occurrence of the abnormality of the other modules of the energy hub;
the quality evaluation module calculates an evaluation coefficient S of the energy hub in the current state based on a relative factor Di of each of M modules in the energy hub, and S= (S) 1 ) 2 *logD(1)+(S 2 ) 2 *logD(2)+…+(S i ) 2 *log D(i)+…+(S M ) 2 * log d (M); wherein S is i Is the ith module in the current stateThe value range is-10-0.
2. The energy hub co-operating mass analysis system of claim 1, wherein the analysis module comprises:
the first analysis module is used for acquiring the acquired information of the acquisition module and counting the abnormal probability matrix of each module in the energy hub in cooperative operation;
the second analysis module is used for calculating the relative entropy of the abnormal probability of each module based on the abnormal probability matrix counted by the first analysis module, so as to obtain a relative entropy matrix of the energy storage module;
and the third analysis module is used for calculating the relative factors Di of the occurrence probability of the ith module of the energy hub and the occurrence of the abnormality of other modules of the energy hub based on the relative entropy matrix.
3. The energy hub co-operating mass analysis system of claim 2, wherein the analysis calculation of the first analysis module comprises: acquiring total number G of abnormal occurrence of the ith module according to the historical data of abnormal occurrence of each module i And total number G of abnormal occurrence of the j-th module when abnormal occurrence of the i-th module occurs ij The probability of the occurrence of the abnormality of the jth module when the ith module is abnormal is expressed as P ij ＝G ij /G i Thus, the abnormal probability matrix of each module can be obtained.
4. A collaborative operation quality analysis system according to claim 3 wherein the computation of relative entropy for anomaly probability for each module is a computation of relative entropy for collaborative operation quality between each of the energy storage modules, the computation process comprising: relative entropy KL of cooperative operation quality between ith module and jth module ij Expressed as:thereby calculating each module andand the relative entropy of the cooperative operation quality among other modules is used for obtaining the relative entropy matrix of each module of the energy hub.
5. The collaborative operation quality analysis system of an energy hub according to claim 4, wherein the calculation method of the relative factor Di of the occurrence probability of the ith module and the occurrence of the abnormality of the other modules of the energy hub is as follows:
wherein MAX i MIN, which is the maximum value in the relative entropy of the ith module i Is the minimum in the relative entropy of the ith module.
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