Control method and control device for operation of power distribution network and electronic equipment

Abstract

The invention provides a control method and a control device for operation of a power distribution network and electronic equipment. The control method comprises the following steps: determining operation evaluation indexes of a plurality of transformer areas; classifying the plurality of operation evaluation indexes according to a preset category to obtain a plurality of classification indexes, the preset category including a benefit index, a cost index and an interval index; determining weights of the plurality of classification indexes according to a weight algorithm; and obtaining a plurality of index scores corresponding to the plurality of classification indexes according to the plurality of classification indexes and the plurality of corresponding weights, and controlling the operation of the power distribution network according to the index scores. The method comprises the following steps: selecting a proper transformer area operation evaluation index and carrying out index classification, determining an index score of a classification index based on weight, judging a current operation state and an abnormal problem of the power distribution network, and further regulating and controlling the power distribution network to enable the power distribution network to operate stably. The problem that in the prior art, normal and stable operation of the power distribution network cannot be controlled due to the operation condition and network complexity of the power distribution network is solved.

Description

Technical Field

[0001] The present application relates to the technical field of distribution network operation, and in particular to a control method, a control device, a computer-readable storage medium and an electronic device for distribution network operation. Background Art

[0002] With the rapid development of my country's economy and the increase in electricity demand, the depletion of non-renewable energy has been accelerated, and the environment has also been polluted. Therefore, distributed power sources have been widely used. However, the low-voltage distribution network containing distributed power sources has complex operating conditions, complex and changeable networks, and the power supply quality and reliability need to be improved. How to evaluate the operating status of the low-voltage distribution network, so as to effectively regulate and control its operation, has become an urgent problem to be solved. Summary of the invention

[0003] The main purpose of the present application is to provide a control method, a control device, a computer-readable storage medium and an electronic device for the operation of a distribution network, so as to at least solve the problem in the prior art that the distribution network cannot be effectively evaluated due to the operating conditions and network complexity of the distribution network, and thus cannot be controlled to operate normally and stably.

[0004] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a method for controlling the operation of a distribution network is provided, comprising: determining operation evaluation indicators of multiple substations; classifying the multiple operation evaluation indicators according to preset categories to obtain multiple classification indicators, the preset categories including: benefit indicators, cost indicators and interval indicators; determining the weights of the multiple classification indicators according to a weight algorithm; obtaining multiple indicator scores corresponding to the multiple classification indicators according to the multiple classification indicators and the corresponding multiple weights, and controlling the operation of the distribution network according to the indicator scores.

[0005] Optionally, based on the multiple classification indicators and the corresponding multiple weights, multiple indicator scores corresponding to the multiple classification indicators are obtained, including: determining evaluation scores corresponding to the multiple operation evaluation indicators; and obtaining the indicator scores corresponding to the multiple classification indicators based on the evaluation scores and the weights corresponding to the operation evaluation indicators.

[0006] Optionally, the plurality of operation evaluation indicators are classified according to preset categories to obtain a plurality of classification indicators, including: obtaining the benefit indicator and the cost indicator according to the operation evaluation indicator and a first preset formula, wherein the first preset formula includes: Among them, M pg is the number of samples of the running evaluation index, K pg is the number of evaluation indicators, is the jth index value in the i-th group of samples of the running evaluation index, is the jth indicator in the i-th group of samples of the running evaluation indicator The maximum value in is the jth indicator in the i-th group of samples of the running evaluation indicator The minimum value in .

[0007] Optionally, the plurality of operation evaluation indicators are classified according to preset categories to obtain a plurality of classification indicators, including: obtaining the interval indicator according to the operation evaluation indicator and a second preset formula, wherein the second preset formula includes: in, is the jth index value in the i-th group of samples of the running evaluation index, is the jth indicator in the i-th group of samples of the running evaluation indicator The most suitable attribute value of are respectively the upper and lower limits of the tolerance interval of the jth indicator in the i-th group of samples of the operation evaluation indicator.

[0008] Optionally, determining the weights of the plurality of classification indicators according to a weight algorithm includes: obtaining the weights of the plurality of classification indicators according to a third preset formula, a first weight, and a second weight, wherein the first weight includes weights obtained by using a hierarchical analysis method for the plurality of classification indicators, and the second weight includes weights obtained by using an entropy weight method for the plurality of classification indicators, and the third preset formula includes: Among them, Wj is the weight, ω j is the weight obtained by the hierarchical analysis method, vj is the weight obtained by the entropy weight method, k represents the total number of indicators, and j represents the jth indicator.

[0009] Optionally, obtaining the indicator scores corresponding to the multiple classification indicators according to the multiple classification indicators and the corresponding multiple weights includes: obtaining the indicator scores corresponding to the multiple classification indicators according to a fourth preset formula, the score of the i-th indicator in the k-th layer corresponding to the multiple classification indicators and the weight of the j-th indicator in the k-th layer corresponding to the multiple classification indicators, wherein the fourth preset formula includes: in, is the indicator score corresponding to the multiple classification indicators, n is the number of the i-th indicator in the k+1-th layer corresponding to the multiple classification indicators, is the score of the i-th indicator in the k-th layer, is the weight of the jth indicator in the kth layer.

[0010] Optionally, the operation evaluation indicators include: voltage qualification rate, load rate, line loss, three-phase current imbalance, three-phase voltage imbalance, voltage deviation angle, proportion of overvoltage users and proportion of undervoltage users.

[0011] According to another aspect of the present application, a control device for distribution network operation is provided, including: an acquisition module for acquiring operation evaluation indicators of multiple substations; a first determination module for classifying the multiple operation evaluation indicators according to preset categories to obtain multiple classification indicators, the preset categories including: benefit indicators, cost indicators and interval indicators; a second determination module for determining the weights of the multiple classification indicators according to a weight algorithm; a control module for obtaining multiple indicator scores corresponding to the multiple classification indicators according to the multiple classification indicators and the corresponding multiple weights, and controlling the distribution network operation according to the indicator scores.

[0012] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the control methods for the operation of the distribution network.

[0013] According to another aspect of the present application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a control method for executing any one of the distribution network operations described.

[0014] Applying the technical solution of the present application, the control method for the operation of the distribution network mentioned above first obtains the operation evaluation indicators of the distribution networks of multiple substations, classifies the multiple operation evaluation indicators according to preset categories, and the classified operation evaluation indicators are divided into multiple classification indicators. Then, the weights of the above classification indicators are determined according to the weight algorithm, and the indicator scores corresponding to the above classification indicators are obtained according to the above weights and classification indicators. The above indicator scores characterize the operation status of the above distribution network, and the above distribution network is controlled to operate normally and stably according to the above indicator scores. By selecting appropriate substation operation evaluation indicators and classifying the indicators, determining the indicator scores of the classification indicators based on the weights, judging the current operation status and abnormal problems of the distribution network, and then regulating the distribution network to make it operate stably. It solves the problem in the prior art that the distribution network cannot be effectively evaluated due to the operating conditions and network complexity of the distribution network, and thus the normal and stable operation of the distribution network cannot be controlled. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0016] Figure 1A hardware structure block diagram of a mobile terminal for executing a control method for distribution network operation provided in an embodiment of the present application is shown;

[0017] Figure 2 A schematic diagram of a flow chart of a method for controlling the operation of a distribution network provided according to an embodiment of the present application is shown;

[0018] Figure 3 A schematic diagram of a control device for distribution network operation provided according to an embodiment of the present application is shown.

[0019] The above drawings include the following reference numerals:

[0020] 102, processor; 104, memory; 106, transmission device; 108, input and output devices. DETAILED DESCRIPTION

[0021] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] As introduced in the background technology, the low-voltage distribution network containing distributed power sources in the prior art has complex operating conditions, complex and changeable networks, and the power supply quality and reliability need to be improved. How to evaluate the operating status of the low-voltage distribution network so as to effectively regulate and control its operation has become an urgent problem to be solved.

[0025] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0026] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 FIG. 1 is a hardware structure block diagram of a mobile terminal of a method for controlling the operation of a distribution network according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0027] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the control method for the operation of the power distribution network in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the above method is implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The above-mentioned specific examples of the network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0028] In this embodiment, a control method for the operation of a distribution network running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0029] Figure 2 1 is a flow chart of a method for controlling the operation of a distribution network according to an embodiment of the present application. Figure 2 As shown, the photovoltaic power generation system has an inverter, and the method comprises the following steps:

[0030] Step S201, determining operation evaluation indicators of multiple substations;

[0031] Step S202, classifying the plurality of the above-mentioned operation evaluation indicators according to preset categories to obtain a plurality of classification indicators, wherein the preset categories include: benefit indicators, cost indicators and interval indicators;

[0032] Step S203, determining the weights of the above-mentioned classification indicators according to a weight algorithm;

[0033] Step S204, obtaining a plurality of indicator scores corresponding to the plurality of classification indicators according to the plurality of classification indicators and the corresponding plurality of weights, and controlling the operation of the distribution network according to the indicator scores.

[0034] Through the above-mentioned control method for power grid operation, the operation evaluation indicators of multiple distribution networks in different substations are obtained, and the multiple operation evaluation indicators are classified according to preset categories. The classified operation evaluation indicators are divided into multiple classification indicators, and then the weights of the above classification indicators are determined according to the weight algorithm. The index score corresponding to the above classification indicator is obtained according to the above weight and classification indicator. The above index score represents the operation state of the above distribution network, and the above distribution network is controlled to operate normally and stably according to the above index score. By selecting appropriate substation operation evaluation indicators and classifying the indicators, the index score of the classification indicator based on the weight is determined, the current operation state and abnormal problems of the distribution network are judged, and then the distribution network is regulated to make it operate stably. The problem in the prior art that the distribution network cannot be effectively evaluated due to the operating conditions and network complexity of the distribution network, and the normal and stable operation of the distribution network cannot be controlled is solved.

[0035] In some optional embodiments, the above-mentioned operation evaluation indicators include: voltage qualification rate, load rate, line loss, three-phase current imbalance, three-phase voltage imbalance, voltage deviation angle, overvoltage user ratio and undervoltage user ratio.

[0036] In the above optional implementation, the substation operation evaluation index system is determined. The selection of substation operation status evaluation indicators should meet the actual situation of the distribution network and the availability of indicator values. The scientific nature of the indicator calculation method and calculation content should also be considered. The voltage qualification rate, load rate, line loss, three-phase current imbalance, three-phase voltage imbalance, voltage deviation angle, overvoltage user ratio, and low voltage user ratio are selected to establish an indicator system.

[0037] The indicator calculation method is as follows:

[0038] (1) Voltage qualification rate: the proportion of the time when the grid supply voltage is within the specified range to the total time. The calculation formula is as follows:

[0039]

[0040] (2) Load rate: A very important technical indicator of the transformer. It reflects the load condition of the transformer in the substation. It is the ratio of the total active power of all loads in the substation to the active power of the substation. The calculation formula is as follows:

[0041]

[0042] Where: P Load is the total active power of all loads, S trans is the transformer capacity, and cosφ is the load power factor of the substation.

[0043] (3) Line loss rate: The theoretical line loss is the difference between the power supply into and out of the distribution network. The smaller the line loss rate, the better the operation status of the substation. The calculation formula is:

[0044]

[0045] Where: y xs is the line loss value of the substation area, P gd Provide power supply load for the substation.

[0046] (4) Three-phase imbalance: The three-phase imbalance is usually measured by current imbalance, which is the ratio of the maximum current difference in the substation bus to the current average value. The greater the three-phase current imbalance, the worse the substation operation status. The calculation formula is as follows:

[0047]

[0048] Where: i max 、i min The maximum and minimum current amplitudes in this three-phase line; i ave The average current amplitude in this three-phase line.

[0049] (5) Three-phase voltage unbalance: Similar to three-phase current unbalance, the calculation formula is as follows:

[0050]

[0051] Where: u max 、u min The maximum and minimum voltage amplitudes in this three-phase line; u ave The average voltage amplitude in this three-phase line.

[0052] (6) Voltage deviation: The degree of deviation of the actual operating voltage at the observation point from the rated voltage can be expressed by the voltage deviation, which is calculated as follows:

[0053]

[0054] Where: u re is the actual operating voltage value of the observation point; u N is the rated voltage.

[0055] (7) Ratio of overvoltage users: The ratio of overvoltage users refers to the percentage of users whose voltage at the user monitoring point is higher than the qualified range to the total number of users in the substation area during the operation of the power grid. The calculation method is as follows:

[0056]

[0057] Where: M high The number of users whose voltage at the user monitoring point is above the qualified range; M is the total number of users in the substation.

[0058] (8) Proportion of low-voltage users: refers to the percentage of users whose voltage at the user monitoring point is lower than the qualified range to the total number of users in the substation area during power grid operation. The calculation method is as follows:

[0059]

[0060] Where: Ml ow The number of users whose voltage at the user monitoring point is below the qualified range; M is the total number of users in the substation.

[0061] In some optional embodiments, based on the multiple classification indicators and the corresponding multiple weights, multiple indicator scores corresponding to the multiple classification indicators are obtained, including: determining the evaluation scores corresponding to the multiple operation evaluation indicators; and obtaining the indicator scores corresponding to the multiple classification indicators based on the evaluation scores and the weights corresponding to the operation evaluation indicators.

[0062] In the above optional implementation, the index evaluation score is set. The purpose of evaluating the operating status of the distribution network is to perceive and evaluate the operating status of the distribution network and then guide the optimization direction, thereby controlling the better operation of the distribution network. In order to obtain the evaluation results of the overall operating status of the substation, it is necessary to first obtain the scores of each individual indicator of the substation, and the individual indicators need to be based on a certain evaluation function to establish the evaluation criteria of the underlying indicators, and map the original individual indicator values ​​to the index evaluation scores.

[0063] This embodiment maps the single indicator to the indicator evaluation score based on the fuzzy membership evaluation function, and adopts three membership functions of benefit type, cost type and interval type as the scoring basis of the single indicator, and the score is a percentage system, as shown in Table 1 (x in the following table refers to the normalized indicator):

[0064] Table 1

[0065]

[0066]

[0067] In some optional implementations, the plurality of operation evaluation indicators are classified according to preset categories to obtain a plurality of classification indicators, including: obtaining the benefit indicator and the cost indicator according to the operation evaluation indicator and a first preset formula, wherein the first preset formula includes: in, is the jth indicator value in the i-th group of samples of the running evaluation indicator, M pg is the number of samples of the above running evaluation indicators, K pg is the number of evaluation indicators, is the jth indicator in the i-th group of samples of the above running evaluation indicators The maximum value in is the jth indicator in the i-th group of samples of the above running evaluation indicators The minimum value in .

[0068] In the above optional implementation, pg has no specific meaning and can be used as a symbol to classify the evaluation indicators into benefit indicators, cost indicators and interval indicators. The benefit indicator refers to an indicator that the larger the value of the indicator parameter, the better the operating status of the substation; the cost indicator refers to an indicator that the larger the value of the indicator parameter, the worse the operating status of the substation. An interval indicator that is too large or too small is not conducive to the stable operation of the substation. For example, in the above indicators in step one, the benefit indicator is: voltage qualification rate; the cost indicator is: line loss, three-phase imbalance, three-phase current imbalance; the interval indicator is: load rate, voltage deviation angle, proportion of overvoltage users, and proportion of low-voltage users.

[0069] In the above optional implementation, the above benefit index, cost index and interval index are normalized. Since the evaluation index uses different units and cannot be directly compared, it is necessary to normalize and dimensionless the index. Since there are fewer benefit indexes and interval indexes, in order to make the indexes of the same nature, according to the principle of minority obeys majority, all indexes are processed as cost indexes, that is, the larger the index value, the worse the operation status of the substation. Through the extreme value processing method, the benefit index and cost index processing are as follows:

[0070]

[0071] Where: M pg is the number of samples, K pg is the number of evaluation indicators, is the jth indicator value in the i-th group of samples of the running evaluation indicator, is the jth indicator in the i-th group of samples The maximum value in is the jth indicator in the i-th group of samples The minimum value in .

[0072] In some optional implementations, the plurality of operation evaluation indicators are classified according to preset categories to obtain a plurality of classification indicators, including: obtaining the interval indicator according to the operation evaluation indicator and a second preset formula, wherein the second preset formula includes:

[0073]

[0074] in, is the jth indicator value in the i-th group of samples of the running evaluation indicator, is the jth indicator in the i-th group of samples of the above running evaluation indicators The most suitable attribute value of are respectively the upper and lower limits of the tolerance interval of the jth indicator in the i-th group of samples of the above-mentioned running evaluation indicators.

[0075] In the above optional implementation manner, the interval index preprocessing is specifically as follows:

[0076]

[0077] In the formula, is the jth indicator in the i-th group of samples The most suitable attribute value of are the upper and lower limits of the tolerance interval of the jth indicator in the i-th group of samples. Therefore, the benefit index and interval index are processed as This is consistent with the preset relationship between cost indicators and the operating status of the distribution network.

[0078] In some optional implementations, the weights of the plurality of classification indicators are determined according to a weight algorithm, including: obtaining the weights of the plurality of classification indicators according to a third preset formula, a first weight, and a second weight, wherein the first weight includes weights obtained by using a hierarchical analysis method for the plurality of classification indicators, and the second weight includes weights obtained by using an entropy weight method for the plurality of classification indicators, and the third preset formula includes: Among them, Wj is the weight, ω j is the weight obtained by the hierarchical analysis method, vj is the weight obtained by the entropy weight method, k represents the total number of indicators, and j represents the jth indicator.

[0079] In the above optional implementation, the analytic hierarchy process Delphi-AHP obtains the weight of each evaluation index based on expert experience, reflecting the expert's judgment on the importance of the index, and ignoring the degree of influence of the index on the system; the improved entropy weight method EWM gives the weight of each index according to the influence of the specific numerical difference of each index on the system, ignoring the importance of each index. This embodiment combines the Delphi-AHP method with the improved EWM method, so that the weight can reflect both the importance of the expert's judgment on the index and its internal data information, and the obtained weight is more reasonable. The minimum entropy value calculation method is given according to the minimum information entropy principle:

[0080]

[0081] In the formula, minE is the minimum entropy value, w j is the comprehensive weight, ω j is the weight obtained by Delphi-AHP method, v j is the weight obtained by EWM, k represents the total number of indicators, and j represents the jth indicator.

[0082] The final calculation formula of the comprehensive weight is solved by the Lagrange multiplier method:

[0083]

[0084] From the above formula, we can see that the sum of the comprehensive weights of all indicators is equal to 1.

[0085] An optimization model is constructed by the Lagrange multiplier method, which includes the objective function (minimizing the entropy value minE) and the constraint condition (the sum of all comprehensive weights is equal to 1) to solve the unknown quantities minE and W j The entropy minimum calculation method combines Delphi-AHP with the improved entropy weight method EWM, and the Lagrange multiplier method is derived from the entropy minimization process.

[0086] In some optional implementations, according to the plurality of the above-mentioned classification indicators and the corresponding plurality of the above-mentioned weights, obtaining the indicator scores corresponding to the plurality of the above-mentioned classification indicators includes: according to a fourth preset formula, the score of the i-th indicator in the k-th layer corresponding to the plurality of the above-mentioned classification indicators and the weight of the j-th indicator in the k-th layer corresponding to the plurality of the above-mentioned classification indicators, obtaining the indicator scores corresponding to the plurality of the above-mentioned classification indicators, wherein the fourth preset formula includes: in, is the indicator score corresponding to the above-mentioned multiple classification indicators, n is the number of corresponding indicators of the i-th indicator in the k+1-th layer, is the score of the i-th indicator in the k-th layer, is the weight of the jth indicator in the kth layer.

[0087] For example, the distribution network operation status evaluation process is given, and the improved AHP-EWM low-voltage distribution network operation status evaluation process based on fuzzy function is as follows:

[0088] (1) Select the low-voltage distribution network area indicators and time range that need to be evaluated.

[0089] (2) Obtain the basic data of the low-voltage distribution network in the selected range, including the three-phase voltage amplitude and phase angle, three-phase current amplitude and phase angle, phase-by-phase active and reactive power, total active and reactive power, etc. of the substation transformer.

[0090] (3) Obtain the value of each evaluation indicator according to the calculation formula of the above evaluation indicators.

[0091] (4) The improved AHP-EWM combined weighting method is used to determine the weight value of each indicator.

[0092] (5) Use the scoring formula in Table 1 to calculate the score of each indicator.

[0093] (6) Based on the scores of individual indicators, the scores of multiple indicators corresponding to the above-mentioned classification indicators are calculated layer by layer. The scores of multiple indicators corresponding to the above-mentioned classification indicators include the criterion layer indicator scores and the target layer scores, and the operating status evaluation results of the low-voltage distribution network substations are obtained, wherein the target layer represents the overall operating status of the entire low-voltage distribution network, and the criterion layer represents the causes of abnormal operation of the entire low-voltage distribution network. The score of the i-th indicator in the k+1th layer for:

[0094]

[0095] Where: n is the number of underlying indicators of the i-th indicator in the k+1th layer, is the score of the i-th indicator in the k-th layer, is the weight of the jth indicator in the kth layer.

[0096] (7) The weak links of the low-voltage distribution network are analyzed through the final evaluation score. If the target layer score is low, it means that the low-voltage distribution network is in poor operating condition. First, analyze the reasons for the low target layer score. By checking the scores of each criterion layer indicator, see which criterion layer indicators have low scores. For the criterion layer indicators with low scores, further analyze the scores of the above classification indicators. By checking the scores of each of the above classification indicators, the specific reasons for the low scores of the criterion layer indicators can be found. According to the causes of the problems found, corresponding improvement measures are proposed to control the stable operation of the distribution network.

[0097] The distribution network operation status types are shown in Table 2:

[0098] Table 2

[0099]

[0100]

[0101] The embodiment of the present application also provides a control device for the operation of a distribution network. It should be noted that the control device for the operation of a distribution network in the embodiment of the present application can be used to execute the control method for the operation of a distribution network provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and those that have been described will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0102] The following is an introduction to the control device for distribution network operation provided in an embodiment of the present application.

[0103] Figure 3 Schematic diagram of a control device for distribution network operation according to an embodiment of the present application. Figure 3 As shown, an acquisition module 100 is used to acquire operation evaluation indicators of multiple substations; a first determination module 200 is used to classify the multiple operation evaluation indicators according to preset categories to obtain multiple classification indicators, and the preset categories include: benefit indicators, cost indicators and interval indicators; a second determination module 300 is used to determine the weights of the multiple classification indicators according to a weight algorithm; a control module 400 is used to obtain multiple indicator scores corresponding to the multiple classification indicators according to the multiple classification indicators and the corresponding multiple weights, and control the operation of the distribution network according to the above indicator scores.

[0104] The control device for the operation of the distribution network of the present application includes an acquisition module, a first determination module, a determination module and a control module, wherein the acquisition module is used to acquire the operation evaluation indicators of the distribution networks of multiple substations; the first determination module is used to classify the multiple operation evaluation indicators according to the preset categories, and the classified operation evaluation indicators are divided into multiple classification indicators; the determination module is used to determine the weights of the above classification indicators according to the weight algorithm; the control module is used to obtain the index score corresponding to the above classification indicator according to the above weight and classification indicator, the above index score represents the operation state of the above distribution network, and the above distribution network is controlled to operate stably and normally according to the above index score. By selecting appropriate substation operation evaluation indicators and classifying the indicators, determining the index score of the classification indicator based on the weight, judging the current operation state and abnormal problems of the distribution network, and then regulating the distribution network to make it operate stably. It solves the problem in the prior art that the distribution network cannot be effectively evaluated due to the operation conditions and network complexity of the distribution network, and thus the normal and stable operation of the distribution network cannot be controlled.

[0105] In some optional implementation schemes, the control module includes a first sub-determination module and a second sub-determination module, wherein the first sub-determination module is used to determine the evaluation scores corresponding to the multiple operation evaluation indicators mentioned above; and the second sub-determination module is used to obtain the indicator scores corresponding to the multiple classification indicators mentioned above based on the evaluation scores and the weights corresponding to the operation evaluation indicators mentioned above.

[0106] In some optional solutions, the first determination module includes a third sub-determination module, and the third sub-determination module is used to obtain the above-mentioned benefit index and the above-mentioned cost index according to the above-mentioned operation evaluation index and the first preset formula, and the above-mentioned first preset formula includes: Among them, Mpg is the number of samples of the above-mentioned running evaluation indicators, Kpg is the number of evaluation indicators, is the jth indicator value in the i-th group of samples of the running evaluation indicator, is the jth indicator in the i-th group of samples of the above running evaluation indicators The maximum value in is the jth indicator in the i-th group of samples of the above running evaluation indicators The minimum value in .

[0107] In some optional implementation schemes, the first determination module further includes a fourth sub-determination module, and the fourth sub-determination module is used to obtain the above-mentioned interval index according to the above-mentioned operation evaluation index and the second preset formula, and the above-mentioned second preset formula includes: in, is the jth indicator value in the i-th group of samples of the running evaluation indicator, is the jth indicator in the i-th group of samples of the above running evaluation indicators The most suitable attribute value of are respectively the upper and lower limits of the tolerance interval of the jth indicator in the i-th group of samples of the above-mentioned running evaluation indicators.

[0108] In an optional implementation scheme, the second determination module includes a fifth sub-determination module, and the fifth sub-determination module is used to obtain the weights of the plurality of classification indicators according to the third preset formula, the first weight and the second weight, wherein the first weight includes the weights obtained by using the hierarchical analysis method for the plurality of classification indicators, and the second weight includes the weights obtained by using the entropy weight method for the plurality of classification indicators, and the third preset formula includes: Among them, W j is the weight, ω j is the weight obtained by analytic hierarchy process, v j is the weight obtained by the entropy weight method, k represents the total number of indicators, and j represents the jth indicator.

[0109] In an optional implementation scheme, the second sub-determination module includes a sixth sub-determination module, which is used to obtain the indicator scores corresponding to the multiple classification indicators according to the fourth preset formula, the score of the i-th indicator in the k-th layer corresponding to the multiple classification indicators, and the weight of the j-th indicator in the k-th layer corresponding to the multiple classification indicators, wherein the fourth preset formula includes: in, is the indicator score corresponding to the above-mentioned multiple classification indicators, n is the number of corresponding indicators of the i-th indicator in the k+1-th layer, is the score of the i-th indicator in the k-th layer, is the weight of the jth indicator in the kth layer.

[0110] In an optional implementation scheme, the above-mentioned operation evaluation indicators in the acquisition module include: voltage qualification rate, load rate, line loss, three-phase current imbalance, three-phase voltage imbalance, voltage deviation angle, overvoltage user ratio and low voltage user ratio.

[0111] The control device for the operation of the distribution network includes a processor and a memory. The first acquisition module and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions. The modules are all located in the same processor; or, the modules are located in different processors in any combination.

[0112] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set, and the kernel parameters are adjusted to solve the problem in the prior art that due to the high coupling of different types of parameters of the photovoltaic power generation system inverter, all parameters of the photovoltaic power generation system inverter cannot be accurately obtained, and thus the photovoltaic power generation system cannot be controlled to operate stably.

[0113] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0114] An embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the control method for the operation of the distribution network.

[0115] Specifically, the control method for distribution network operation includes:

[0116] Step S201, determining operation evaluation indicators of multiple substations;

[0117] Step S202, classifying the plurality of the above-mentioned operation evaluation indicators according to preset categories to obtain a plurality of classification indicators, wherein the preset categories include: benefit indicators, cost indicators and interval indicators;

[0118] Step S203, determining the weights of the above-mentioned classification indicators according to a weight algorithm;

[0119] Step S204, obtaining a plurality of indicator scores corresponding to the plurality of classification indicators according to the plurality of classification indicators and the corresponding plurality of weights, and controlling the operation of the distribution network according to the indicator scores.

[0120] An embodiment of the present invention provides a processor, and the processor is used to run a program, wherein the control method for the operation of the distribution network is executed when the program is run.

[0121] Specifically, the control method for distribution network operation includes:

[0122] Step S201, determining operation evaluation indicators of multiple substations;

[0123] Step S202, classifying the plurality of the above-mentioned operation evaluation indicators according to preset categories to obtain a plurality of classification indicators, wherein the preset categories include: benefit indicators, cost indicators and interval indicators;

[0124] Step S203, determining the weights of the above-mentioned classification indicators according to a weight algorithm;

[0125] Step S204, obtaining a plurality of indicator scores corresponding to the plurality of classification indicators according to the plurality of classification indicators and the corresponding plurality of weights, and controlling the operation of the distribution network according to the indicator scores.

[0126] An embodiment of the present invention provides an electronic device, the device comprising a processor, a memory, and a program stored in the memory and executable on the processor, and when the processor executes the program, at least the following steps are implemented:

[0127] Step S201, determining operation evaluation indicators of multiple substations;

[0128] Step S202, classifying the plurality of the above-mentioned operation evaluation indicators according to preset categories to obtain a plurality of classification indicators, wherein the preset categories include: benefit indicators, cost indicators and interval indicators;

[0129] Step S203, determining the weights of the above-mentioned classification indicators according to a weight algorithm;

[0130] Step S204, obtaining a plurality of indicator scores corresponding to the plurality of classification indicators according to the plurality of classification indicators and the corresponding plurality of weights, and controlling the operation of the distribution network according to the indicator scores.

[0131] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0132] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program for initializing at least the following method steps:

[0133] Step S201, determining operation evaluation indicators of multiple substations;

[0134] Step S202, classifying the plurality of the above-mentioned operation evaluation indicators according to preset categories to obtain a plurality of classification indicators, wherein the preset categories include: benefit indicators, cost indicators and interval indicators;

[0135] Step S203, determining the weights of the above-mentioned classification indicators according to a weight algorithm;

[0136] Step S204, obtaining a plurality of indicator scores corresponding to the plurality of classification indicators according to the plurality of classification indicators and the corresponding plurality of weights, and controlling the operation of the distribution network according to the indicator scores.

[0137] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0138] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0139] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0140] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0141] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0142] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0143] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0144] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0145] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0146] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0147] 1) The control method for the operation of the distribution network of the present application obtains the operation evaluation indicators of the distribution networks of multiple substations, classifies the multiple operation evaluation indicators according to preset categories, and the classified operation evaluation indicators are divided into multiple classification indicators. The weights of the above classification indicators are then determined according to the weight algorithm. The index scores corresponding to the above classification indicators are obtained according to the above weights and classification indicators. The above index scores characterize the operation status of the above distribution network, and the above distribution network is controlled to operate normally and stably according to the above index scores. By selecting appropriate substation operation evaluation indicators and classifying the indicators, the index scores of the classification indicators based on the weights are determined, the current operation status and abnormal problems of the distribution network are judged, and then the distribution network is regulated to make it operate stably. It solves the problem in the prior art that the distribution network cannot be effectively evaluated due to the operating conditions and network complexity of the distribution network, and thus the normal and stable operation of the distribution network cannot be controlled.

[0148] 2) The control device for the operation of the distribution network of the present application, the acquisition module is used to obtain the operation evaluation indicators of the distribution networks of multiple substations; the first determination module is used to classify the multiple operation evaluation indicators according to the preset categories, and the classified operation evaluation indicators are divided into multiple classification indicators; the determination module is used to determine the weights of the above classification indicators according to the weight algorithm; the control module is used to obtain the index score corresponding to the above classification indicator according to the above weight and classification indicator, the above index score represents the operation state of the above distribution network, and the above distribution network is controlled to operate normally and stably according to the above index score. By selecting appropriate substation operation evaluation indicators and classifying the indicators, determining the index score of the classification indicator based on the weight, judging the current operation state and abnormal problems of the distribution network, and then regulating the distribution network to make it operate stably. It solves the problem in the prior art that the distribution network cannot be effectively evaluated due to the operating conditions and network complexity of the distribution network, and thus the normal and stable operation of the distribution network cannot be controlled.

[0149] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for controlling the operation of a distribution network, characterized in that: include: Determine the operation evaluation indicators for multiple substations; Classifying the plurality of operation evaluation indicators according to preset categories to obtain a plurality of classification indicators, wherein the preset categories include: benefit indicators, cost indicators, and interval indicators; Determining weights of the plurality of classification indicators according to a weight algorithm; According to the plurality of classification indicators and the corresponding plurality of weights, a plurality of indicator scores corresponding to the plurality of classification indicators are obtained, and the operation of the distribution network is controlled according to the indicator scores.

2. The control method according to claim 1, characterized in that: According to the plurality of classification indicators and the corresponding plurality of weights, a plurality of indicator scores corresponding to the plurality of classification indicators are obtained, including: Determining evaluation scores corresponding to a plurality of the operation evaluation indicators; According to the evaluation score and the weight corresponding to the operation evaluation index, the index scores corresponding to the multiple classification indexes are obtained.

3. The control method according to claim 1, characterized in that: According to preset categories, the plurality of operation evaluation indicators are classified to obtain a plurality of classification indicators, including: The benefit index and the cost index are obtained according to the operation evaluation index and a first preset formula, wherein the first preset formula includes: Among them, M pg is the number of samples of the running evaluation index, K pg is the number of evaluation indicators, is the jth index value in the i-th group of samples of the running evaluation index, is the jth indicator in the i-th group of samples of the running evaluation indicator The maximum value in is the jth indicator in the i-th group of samples of the running evaluation indicator The minimum value in .

4. The control method according to claim 1, characterized in that: According to preset categories, the plurality of operation evaluation indicators are classified to obtain a plurality of classification indicators, including: The interval index is obtained according to the operation evaluation index and a second preset formula, wherein the second preset formula includes: in, is the jth index value in the i-th group of samples of the running evaluation index, is the jth indicator in the i-th group of samples of the running evaluation indicator The most suitable attribute value of are respectively the upper and lower limits of the tolerance interval of the jth indicator in the i-th group of samples of the operation evaluation indicator.

5. The control method according to claim 1, characterized in that: According to the weight algorithm, the weights of the plurality of classification indicators are determined, including: According to the third preset formula, the first weight and the second weight, the weights of the plurality of classification indicators are obtained, wherein the first weight includes weights obtained by using the hierarchical analysis method for the plurality of classification indicators, and the second weight includes weights obtained by using the entropy weight method for the plurality of classification indicators, and the third preset formula includes: Among them, W j is the weight, ω j is the weight obtained by analytic hierarchy process, v j is the weight obtained by the entropy weight method, k represents the total number of indicators, and j represents the jth indicator.

6. The control method according to claim 2, characterized in that: Obtaining indicator scores corresponding to the multiple classification indicators according to the multiple classification indicators and the corresponding multiple weights, including: According to a fourth preset formula, the score of the i-th indicator in the k-th layer corresponding to the multiple classification indicators and the weight of the j-th indicator in the k-th layer corresponding to the multiple classification indicators, the indicator scores corresponding to the multiple classification indicators are obtained, and the fourth preset formula includes: in, is the indicator score corresponding to the multiple classification indicators, n is the number of the i-th indicator in the k+1-th layer corresponding to the multiple classification indicators, is the score of the i-th indicator in the k-th layer, is the weight of the jth indicator in the kth layer.

7. The control method according to claim 1, characterized in that: The operation evaluation indicators include: voltage qualification rate, load rate, line loss, three-phase current imbalance, three-phase voltage imbalance, voltage deviation angle, proportion of overvoltage users and proportion of undervoltage users.

8. A control device for distribution network operation, characterized in that: include: An acquisition module is used to obtain operation evaluation indicators of multiple substations; A first determination module is used to classify the plurality of operation evaluation indicators according to preset categories to obtain a plurality of classification indicators, wherein the preset categories include: benefit indicators, cost indicators and interval indicators; A second determination module is used to determine the weights of the plurality of classification indicators according to a weight algorithm; A control module is used to obtain a plurality of indicator scores corresponding to the plurality of classification indicators according to the plurality of classification indicators and the corresponding plurality of weights, and control the operation of the distribution network according to the indicator scores.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for controlling the operation of the distribution network according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a control method for executing the distribution network operation described in any one of claims 1 to 7.

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