Urban power grid power failure operation control method considering risk events

Abstract

The invention relates to an urban power grid power failure operation control method considering a risk event, and the method comprises the following steps: obtaining urban power distribution network line distribution information and power grid service power user information, and constructing a power grid power distribution line topological structure containing the power user information; based on the power grid distribution line topological structure, iteratively calculating a power grid active period in each refresh cycle according to a set refresh cycle, the refresh cycle representing a time interval for calculating the power grid active period; acquiring risk events in the urban power distribution network in real time, and outputting the optimal power failure time period of the power grid in combination with the power grid active time period in each refresh cycle; and controlling the urban power distribution network to close or supply power according to the optimal power grid outage time period to complete the operation process of the urban power grid. Compared with the prior art, the method has the advantages of realizing power failure management at the minimum cost and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of power safety management, and in particular to an urban power grid outage operation control method considering risk events. Background Art

[0002] The risk of power grid outage refers to the possibility that the power grid cannot supply power normally due to various factors. This may be caused by the damage of transmission lines by bad weather, equipment aging failures, power load overload, and human operation errors. Once a power outage occurs, it will seriously affect industrial production, residents' lives, commercial operations, etc., causing economic losses and social order disorders.

[0003] Patent CN109934437B discloses a method for evaluating the outage risk of a distribution network. The method includes: collecting the outage information of the distribution network; bringing the outage information of the distribution network into a pre-established outage risk assessment model of the distribution network to calculate the outage risk; the pre-established outage risk assessment model of the distribution network includes: a sampling model of distribution network state variables and evaluation indexes; the establishment of the outage risk assessment model of the distribution network includes: collecting the historical operation data of the distribution network; analyzing the collected historical data to establish a sampling model of distribution network state variables; the step of bringing the outage information of the distribution network into a pre-established outage risk assessment model of the distribution network to calculate the outage risk includes: determining the state of the distribution network based on the sampling model of distribution network state variables; setting the division of outage risk levels according to the state of the distribution network and evaluation indexes; the step of analyzing the collected historical data to establish a sampling model of distribution network state variables includes: calculating the probability distribution curve of distributed power source random variables based on the historical operation data of the distribution network and the probability distribution function of distributed power source random variables. The purpose of this method is to solve the problem that "the large-scale access of distributed power sources has changed the network structure and power flow of the distribution network, and the traditional radial distribution network has become a multi-source system. Considering the randomness of distributed power sources, the risk factors and risk levels of the distribution network have changed, and risk assessment has become more important. In this situation, the traditional distribution network risk assessment cannot fully reflect the risk level of the distribution network with distributed power sources".

[0004] In the use scenario of the urban power grid, when a fault occurs in the power grid or a certain operation and maintenance cycle is reached, it is necessary to conduct a centralized power outage on the power grid for repair, maintenance, and overhaul. However, once the power grid is powered off, it will cause losses to various electricity users, especially industrial and commercial electricity users. Therefore, it is particularly important to select a suitable power outage time period. A better power outage time period with higher suitability is conducive to reducing the losses caused by the power outage to electricity users. Summary of the Invention

[0005] The object of the present invention is to provide a method for controlling the outage operation of an urban power grid that takes into account risk events and realizes outage management at the lowest cost.

[0006] The object of the present invention can be achieved by the following technical solutions:

[0007] A method for controlling the outage operation of an urban power grid that takes into account risk events, comprising the following steps:

[0008] Obtain the line distribution information of the urban distribution network and the information of power grid service users, and construct a power grid distribution line topology structure including user information;

[0009] Based on the power grid distribution line topology structure, iteratively calculate the active time period of the power grid within each refresh period according to the set refresh period, where the refresh period represents the time interval for calculating the active time period of the power grid;

[0010] Real-time obtain risk events in the urban distribution network, and combine with the active time period of the power grid within each refresh period to output the optimal outage time period of the power grid;

[0011] According to the optimal outage time period of the power grid, control the urban distribution network to be shut down or powered on to complete the operation process of the urban power grid.

[0012] Furthermore, the information of power grid service users includes the types of users and their electricity consumption information. The types of users include residential electricity consumption, commercial electricity consumption, and industrial production electricity consumption. The electricity consumption information of users includes the start time of electricity consumption, the end time of electricity consumption, the electricity consumption during the electricity consumption period, and the cumulative proportion during the electricity consumption period.

[0013] Furthermore, the step of constructing a power grid distribution line topology structure including user information includes:

[0014] Based on the line distribution information of the urban distribution network, construct an initial power grid distribution line topology structure;

[0015] Add the information of power grid service users to the initial power grid distribution line topology structure to form a final power grid distribution line topology structure, which is used as the power grid distribution line topology structure including user information. The type of user is used as a marker to mark the location of the user.

[0016] Furthermore, the setting of the refresh period follows:

[0017]

[0018] where d is the refresh period for the analysis operation of the active time period of the power grid, d0 is the refresh period base number, u is the total number of power grid faults, and tv is the start time of the v-th power grid fault, t′ v-1 is the end time of the (v - 1)-th power grid fault, is t v and t′ v-1 is the number of power grid maintenance events occurring within the time threshold defined by t and λ is a constant used to control the value within the range of (0, 2].

[0019] Furthermore, the calculation steps of the power grid active period within each refresh period include:

[0020] Based on the power grid service power consumption user information, calculate the activity performance value of the power consumption users;

[0021] Arrange the activity performance values of the power consumption users in ascending order to form an ascending queue, and select the activity performance values of the power consumption users in the first half of the ascending queue. Use the power consumption users corresponding to the activity performance values in the first half as the analysis targets for the power grid active period;

[0022] Determine the power consumption time threshold according to the power consumption start time and power consumption end time of the analysis targets for the power grid active period, and obtain the time threshold intersection. Among them, the analysis targets for the power grid active period not located in the time threshold intersection will be discarded;

[0023] Obtain the power consumption of the analysis targets for the power grid active period corresponding to the time threshold intersection period, and calculate the active tendency during the power consumption period;

[0024] Sort the active tendency during the power consumption period in descending order to form a descending queue, and select the active tendency during the power consumption period in the first half of the descending queue. Obtain the respective time threshold intersections of the analysis targets for the power grid active period corresponding to the active tendency during the power consumption period in the first half;

[0025] Take the union of the respective time threshold intersections as the power grid active period within each refresh period.

[0026] Furthermore, the calculation process of the activity performance value of the power consumption users includes:

[0027] Based on the power grid service power consumption user information, obtain the cumulative proportion of the power consumption period of the power consumption users, and the calculation expression of the cumulative proportion of the power consumption period of the power consumption users is:

[0028]

[0029] In the formula, a is the cumulative proportion of the power consumption period of the power consumption users, n is the total amount of the power consumption period of the power consumption users, t(V) i is the valley period duration corresponding to the i-th power consumption period, t(F) iis the normal period duration corresponding to the i-th power consumption period, t(P) i is the peak period duration corresponding to the i-th power consumption period;

[0030] Based on the cumulative proportion of the power consumption periods of the electricity user, calculate the activity performance value of the electricity user, where the calculation expression of the activity performance value of the electricity user is:

[0031]

[0032] In the formula, θ is the activity performance value of the electricity user.

[0033] Further, the calculation expression of the active tendency of the power consumption period is:

[0034]

[0035] In the formula, F is the active tendency value of the power consumption period, T is the corresponding duration of the time threshold intersection, and g j 、g j+1 are the power consumption of the electricity user during the corresponding period of the time threshold intersection in the power consumption time thresholds of the j-th and j + 1-th electricity users, and γ is an adjustment factor.

[0036] Further, the risk events in the urban distribution network include power grid fault events and power grid maintenance events.

[0037] Further, the steps of outputting the best power grid outage period include:

[0038] If the risk event is a power grid fault event, then:

[0039] Set the repair required time of the power grid fault event, obtain the non-grid active period that is greater than the repair required time and closest to the current time, and use the non-grid active period as the best power grid outage period for performing the power grid fault event repair task;

[0040] If the risk event is a power grid maintenance event, then:

[0041] Set the maintenance required time of the power grid maintenance event, determine whether the power grid maintenance event requires emergency maintenance. If so, obtain the non-grid active period that is greater than the maintenance required time and closest to the current time for performing the power grid maintenance task. If not, monitor the power grid active period in each refresh cycle in real time, and after calculating the power grid active period in the last refresh cycle, obtain the non-grid active period that is greater than the maintenance required time and closest to the current time for performing the power grid maintenance task;

[0042] Where the non-grid active period is all the periods separated by the power grid active period within 24 hours a day except the power grid active period.

[0043] Further, after the optimal power grid outage period, a power outage message is sent to electricity users, and the specific steps include:

[0044] If the optimal power grid outage period is applied to the power grid fault event, a power outage message is sent to each electricity user served by the power grid;

[0045] If the optimal power grid outage period is applied to the power grid maintenance event and the power grid maintenance event does not require emergency maintenance, a power outage message is sent to each electricity user served by the power grid before the optimal power grid outage period is applied;

[0046] If the optimal power grid outage period is applied to the power grid maintenance event and the power grid maintenance event requires emergency maintenance, a power outage message is sent to each electricity user served by the power grid when the optimal power grid outage period is applied;

[0047] Wherein the power outage message includes the duration of the optimal power grid outage period and the application risk event of the optimal power grid outage period.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] (1) The present invention provides visual management conditions for power grid management by constructing a power grid distribution line topology structure containing electricity user information, determines the active period of the power grid through iterative calculation by setting a refresh period, thereby reversely determining the non-active period of the power grid according to the active period of the power grid, and finally applying the non-active period of the power grid to configure the optimal power outage period for the processing requirements of risk events, realizing a higher matching power outage maintenance, and ensuring that when there is a power outage demand in the power grid, power outage management is achieved at the minimum cost.

[0050] (2) The present invention reflects the active degree of the power grid by calculating the active performance value of electricity users within the refresh period, and reflects the active tendency of the power grid during the power consumption period by further calculating the active tendency during the power consumption period, obtaining a more accurate active period of the power grid, providing a good basis for subsequent calculation of the optimal power grid outage period.

[0051] (3) The risk events of the present invention consider two types of power grid faults and power grid maintenance, and also consider the urgency of power grid maintenance. Combining the current active period of the power grid, the optimal power grid outage period is provided for power grid faults and power grid maintenance, and power grid fault repair and maintenance tasks are executed. Description of the Drawings

[0052] Figure 1 It is a schematic flow chart of the method of the present invention. Detailed Embodiments

[0053] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. This embodiment is implemented on the premise of the technical solution of the present invention, and provides a detailed implementation manner and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0054] This embodiment provides a method for controlling the power outage operation of an urban power grid considering risk events. As Figure 1 shown, the method includes the following steps:

[0055] S1. Obtain the distribution information of urban distribution network lines and the information of power grid service users, and construct a power grid distribution line topology structure including user information.

[0056] Obtain the information of power grid service users in real time, including the electricity consumption information of users and the types of power grid service users, and upload the distribution information of distribution lines in the power grid, that is, the location information of each section of distribution lines in the power grid. Construct a power grid distribution line topology based on the distribution information of distribution lines, and add user information to the power grid distribution line topology structure. When marking the location of power grid service users in the power grid distribution line topology, user-defined blocks are placed at the corresponding positions of power grid service users in the power grid distribution line topology for identification, and the user-defined blocks are set based on the types of power grid service users. The electricity consumption information of power grid service users collected in real time is used to construct a cloud database, and the cloud database is used to store the electricity consumption information of power grid service users.

[0057] The types of the above-mentioned power grid service users include: residential electricity consumption, commercial electricity consumption, and industrial production electricity consumption. The electricity consumption information of power grid service users includes: the start time of electricity consumption of users, the end time of electricity consumption of users, the electricity consumption during the electricity consumption period of users, and the cumulative proportion of electricity consumption during the electricity consumption period of users. The cumulative proportion of electricity consumption during the electricity consumption period of users in the electricity consumption information of power grid service users is expressed as:

[0058]

[0059] In the formula: n is the total amount of electricity consumption periods of users; t(V) i is the valley period duration corresponding to the i-th electricity consumption period; t(F) i is the normal period duration corresponding to the i-th electricity consumption period; t(P) i is the peak period duration corresponding to the i-th electricity consumption period;

[0060] Through the above logical formula, the representation form of the cumulative proportion of electricity consumption during the electricity consumption period of users in the electricity consumption information of power grid service users is further defined. Among them, the active period of the power grid performs analysis operations according to the electricity consumption information of power grid service users combined with the analysis logic.

[0061] S2. Set the refresh period of the grid active period analysis operation. Based on the set refresh period, iteratively calculate the grid active period based on the electricity consumption information of the power grid serving electricity users.

[0062] The analysis logic of the grid active period is expressed as:

[0063]

[0064] In the formula: θ represents the activity performance value of the electricity user;

[0065] The smaller the activity performance value θ of the electricity user, the more active the electricity user is. On the contrary, it means the electricity user is less active. Based on the above formula, the activity performance value of each electricity user is obtained, and then sorted in ascending order based on the activity performance value of the electricity user, so that the electricity users with smaller activity performance values are arranged in the front, and the electricity users with larger activity performance values are arranged in the back. Select the electricity users in the first half of the queue as the analysis target of the grid active period, and perform the analysis of the grid active period based on the analysis target of the grid active period; through the above logical formula, an effective analysis logic is provided for the grid active period to ensure the stable output of the grid active period.

[0066] Determine the electricity consumption time threshold of the electricity user according to the start time and end time of the electricity user's power consumption, obtain the intersection of the time thresholds, and obtain the electricity consumption in the corresponding period of the intersection of the time thresholds in the electricity consumption time threshold of its source electricity user; among them, after determining the electricity consumption time threshold of the electricity user according to the start time and end time of the electricity user's power consumption, the electricity users who do not obtain the intersection of the time thresholds are discarded in the analysis target of the grid active period;

[0067] Further analyze the active tendency of the electricity consumption period based on the electricity consumption in the corresponding period of the intersection of the time thresholds in the electricity consumption time threshold of its source electricity user:

[0068]

[0069] In the formula: F is the active tendency of the electricity consumption period; T is the corresponding duration of the intersection of the time thresholds; m is the total amount of the electricity consumption time thresholds of the electricity users where the intersection of the time thresholds is located; g j 、g j+1 are the electricity consumptions of the electricity user in the corresponding period of the intersection of the time thresholds in the jth and j + 1th electricity consumption time thresholds of the electricity user; γ is the adjustment factor; among them, the value of the adjustment factor γ is 0.9, 0.95, 1. When the intersection of the time thresholds is the peak period, the adjustment factor γ = 0.9. When the intersection of the time thresholds is the normal period, the adjustment factor γ = 0.95. When the intersection of the time thresholds is the valley period, the adjustment factor γ = 1. When the intersection of the time thresholds is a combination of the peak period and the normal period, the adjustment factor γ = 0.9. When the intersection of the time thresholds is a combination of the peak period and the normal period, the adjustment factor γ = 0.95. When the intersection of the time thresholds is a combination of the normal period and the valley period, the adjustment factor γ = 1.

[0070] Through the above logical formula, the active tendency during the power consumption period is output in a digital form, providing the necessary execution data support for the further execution of the method in the above embodiment.

[0071] Arrange the analysis targets of each grid active period in descending order according to the magnitude of the active tendency F during the power consumption period, and obtain the intersection of the time thresholds of each analysis target of the first half of the arranged result queue, and take the union of the obtained intersections of the time thresholds, that is, the grid active period.

[0072] The above is the grid active period analysis process carried out in one refresh cycle. According to the set refresh cycle, the analysis operation of the grid active period is refreshed, and the newly analyzed grid active period is used to iterate the grid active period analyzed by the previous analysis operation. The setting of the refresh cycle of the grid active period analysis operation follows:

[0073]

[0074] In the formula: d is the refresh cycle of the grid active period analysis operation; d0 is the refresh cycle base; u is the total number of grid fault times; t v is the start time of the vth grid fault; t′ v-1 is the end time of the (v - 1)th grid fault; is t v and t′ v-1 is the number of grid maintenance events occurring within the time threshold defined by t and t′; λ is a constant; among them, the values of the refresh cycle base d0 and the constant λ are both user-defined, and both the refresh cycle base d0 and the constant λ are positive numbers, and the constant λ is used to control to be within the range of (0, 2];

[0075] Through the above logical formula, the refresh cycle of the grid active period analysis operation is limited to ensure that the method in this embodiment can further run continuously in a specified cycle and adaptively provide the best power outage time period for the grid.

[0076] S3. Real-time obtain grid fault events and grid maintenance events in the grid, and output the best power outage time period of the grid according to the event type in combination with the current grid active period.

[0077] Both the grid fault events and grid maintenance events in the grid are manually reported by the users at the grid management end. When there are grid fault events in the grid, the output logic of the best power outage time period of the grid is:

[0078] Set the repair requirement time for grid fault events, obtain the non-grid active period that is greater than the repair requirement time for grid fault events and closest to the current time, and apply the obtained non-grid active period to execute the grid fault event repair task, that is, perform the operation of shutting down the grid power supply during the obtained non-grid active period. Among them, the non-grid active period is all the periods separated by the grid active periods within 24 hours a day except for the grid active periods, and the analysis operation of the grid active periods is continuously refreshed, executed, and applied based on a specified cycle;

[0079] When there is a grid maintenance event in the grid, the output logic of the best power outage period for the grid is as follows:

[0080] Set the requirement time for grid maintenance events;

[0081] Determine whether the grid maintenance event is an emergency maintenance. When the grid maintenance event is an emergency maintenance, the output logic of the best power outage period for the grid is the same as the output logic of the best power outage period for the grid when there is a grid fault event in the grid;

[0082] When the grid maintenance event is a non-emergency event, continuously monitor the update result of the grid active period. After the most recent grid active period is updated, obtain the non-grid active period that is greater than the requirement time for the grid maintenance event and closest to it, and apply the obtained non-grid active period to execute the grid maintenance operation, that is, perform the operation of shutting down the grid power supply during the obtained non-grid active period.

[0083] When the best power outage period for the grid is applied to grid fault events, after the best power outage period for the grid is applied, the grid management terminal user sends a power outage message to each grid service electricity user. When the best power outage period for the grid is applied to grid maintenance events and the grid maintenance event is a non-emergency event, before the best power outage period for the grid is applied, the grid management terminal user sends a power outage message to each grid service electricity user. When the grid maintenance event is an emergency event, when the best power outage period for the grid is applied, the grid management terminal user sends a power outage message to each grid service electricity user;

[0084] Among them, the content of the power outage message includes: the duration of the best power outage period for the grid and the application event of the best power outage period for the grid, and the power outage message is sent to the mobile communication device of the grid service electricity user in the form of a text message.

[0085] Through the execution of the method in the above embodiments, when a grid fault occurs and there is a maintenance requirement, based on the comprehensive analysis of the historical electricity consumption information of grid service electricity users, the best power outage period is output for use in grid faults and maintenance requirements.

[0086] S4. The grid management background obtains the best power outage period for the grid and applies the best power outage period for the grid to control the grid to shut down or supply power.

[0087] In summary, during the execution of the method in the above embodiments, by constructing the power grid distribution topology and identifying the power grid service users in the topology, visual management conditions are provided for power grid management. At the same time, based on the comprehensive analysis of the power consumption information of power grid service users, the active period of the power grid is determined, and then the non-active period of the power grid is determined in reverse. Finally, the non-active period of the power grid is used to configure the best power outage period for the faults or maintenance requirements occurring in the power grid, so as to achieve a higher matching power outage maintenance, and ensure that when there is a power outage demand in the power grid, the power outage management is realized at the minimum cost.

[0088] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0089] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for controlling power outages in urban power grids considering risk events, characterized in that: The following steps are involved: Obtain the distribution information of urban distribution network lines and information of power users served by the power grid, and construct the topological structure of power grid distribution lines containing power user information; Based on the power distribution line topology of the power grid, iteratively calculating the active period of the power grid in each refresh period according to a set refresh period, wherein the refresh period represents the time interval for calculating the active period of the power grid; Acquire risk events in the urban distribution network in real time, and output the best time for power outage in the power grid in combination with the active time period of the power grid in each refresh cycle; According to the optimal power outage period of the power grid, the urban distribution network is controlled to be shut down or powered on to complete the operation process of the urban power grid.

2. A method for controlling power outages of urban power grids taking risk events into consideration according to claim 1, characterized in that: The power grid service electricity user information includes the type of electricity user and the electricity usage information of the electricity user, wherein the type of electricity user includes residential electricity usage, commercial electricity usage, and industrial production electricity usage, and the electricity usage information of the electricity user includes the electricity usage start time, the electricity usage end time, the electricity usage of the electricity user during the electricity usage period, and the cumulative proportion of the electricity usage of the electricity user during the electricity usage period.

3. The method for controlling power outage operation of a city power grid considering risk events according to claim 2, characterized in that: The step of constructing a power grid distribution line topology structure containing power user information comprises: Based on the urban power distribution network line distribution information, construct an initial power distribution network line topology structure; The power grid service electricity user information is added to the initial power grid distribution line topology structure to form a final power grid distribution line topology structure as a power grid distribution line topology structure containing electricity user information, wherein the type of electricity user is used as a mark to mark the location of the electricity user.

4. The method for controlling power outage operation of a city power grid considering risk events according to claim 1, characterized in that: The refresh cycle is set to comply with: Where d is the refresh cycle of the analysis operation during the active period of the power grid, d0 is the refresh cycle base, u is the total number of power grid faults, and t v is the starting time of the vth power grid fault, t′ v-1 is the end time of the v-1th power grid fault, t v and t′ v-1 The number of grid maintenance events within the specified time threshold, λ is a constant, used to control The value of is in the range of (0, 2].

5. The method for controlling power outage operation of a city power grid considering risk events according to claim 1, characterized in that: The calculation step of the grid active period in each refresh cycle includes: Based on the power grid service power user information, calculating the activity performance value of the power user; Arrange the activity performance values ​​of the electricity users in ascending order to form an ascending queue, select the activity performance values ​​of the electricity users in the first half of the ascending queue, and use the electricity users corresponding to the activity performance values ​​of the electricity users in the first half as the analysis targets of the power grid active period; Determine the power consumption time threshold according to the power consumption start time and the power consumption end time of the power grid active period analysis target, obtain the time threshold intersection, wherein the power grid active period analysis target that is not located in the time threshold intersection will be discarded; Obtaining the power consumption of the target of the power grid active period analysis in the period corresponding to the intersection of the time thresholds, and calculating the active tendency of the power consumption period; Sorting the active trends of the power consumption periods in descending order to form a descending queue, selecting the active trends of the power consumption periods in the first half of the descending queue, and obtaining the time threshold intersections of the power grid active period analysis targets corresponding to the active trends of the power consumption periods in the first half; The intersections of the respective time thresholds are combined to form a grid active period in each refresh cycle.

6. A method for controlling power outages of urban power grids taking risk events into consideration according to claim 5, characterized in that: The calculation process of the activity performance value of the electricity user includes: Based on the power grid service electricity user information, the cumulative proportion of the electricity user's electricity consumption time period is obtained, wherein the calculation expression of the cumulative proportion of the electricity user's electricity consumption time period is: In the formula, a is the cumulative proportion of electricity users in the electricity consumption period, n is the total amount of electricity users in the electricity consumption period, t(V) i is the length of the valley period corresponding to the i-th electricity consumption period, t(F) i is the length of the normal period corresponding to the i-th electricity consumption period, t(P) i is the duration of the peak period corresponding to the i-th electricity consumption period; Based on the cumulative proportion of the electricity consumption time period of the electricity user, the activity performance value of the electricity user is calculated, wherein the calculation expression of the activity performance value of the electricity user is: Where θ is the activity performance value of the electricity user.

7. The method for controlling power outage operation of a city power grid considering risk events according to claim 5, characterized in that: The calculation expression of the active tendency of the power consumption period is: In the formula, F is the active tendency value of the electricity consumption period, T is the corresponding duration of the time threshold intersection, and g j , g j+1 is the electricity consumption of the electricity user in the period corresponding to the intersection of the time thresholds in the electricity consumption time thresholds of the jth and j+1th electricity users, and γ is the adjustment factor.

8. The method for controlling power outage operation of a city power grid considering risk events according to claim 1, characterized in that: The risk events in the urban distribution network include power grid failure events and power grid maintenance events.

9. A method for controlling power outages of urban power grids taking risk events into consideration according to claim 8, characterized in that: The step of outputting the optimal power outage period of the power grid comprises: If the risk event is a power grid failure event, then: Set the required repair time of the power grid fault event, obtain the non-power grid active time period closest to the current time and greater than the required repair time, and use the non-power grid active time period as the best power grid outage time period for executing the power grid fault event repair task; If the risk event is a power grid maintenance event, then: The maintenance requirement time of the power grid maintenance event is set to determine whether the power grid maintenance event requires emergency maintenance. If so, the nearest non-power grid active time period greater than the maintenance requirement time from the current time is obtained for executing the power grid maintenance task. If not, the power grid active time period in each refresh cycle is monitored in real time, and after the calculation of the power grid active time period is completed in the last refresh cycle, the nearest non-power grid active time period greater than the maintenance requirement time is obtained for executing the power grid maintenance task. The non-grid active time period is all time periods separated by grid active time periods within 24 hours every day except the grid active time period.

10. A method for controlling power outages of urban power grids taking risk events into consideration according to claim 9, characterized in that: The output power grid outage optimal period also includes sending a power outage message to the power user, and the specific steps include: If the optimal power outage period of the power grid is applied to the power grid fault event, a power outage message is sent to each power user served by the power grid; If the optimal power outage period is applied to the power grid maintenance event, and the power grid maintenance event does not require emergency maintenance, before the optimal power outage period is applied, a power outage message is sent to each power grid service user; If the optimal power outage period is applied to the power grid maintenance event, and the power grid maintenance event requires emergency maintenance, then when the optimal power outage period is applied, a power outage message is sent to each power grid service electricity user; The power outage message includes the duration of the optimal power outage period of the power grid and the application risk events during the optimal power outage period of the power grid.

Images