Power-cut plan self-service arrangement method using dual check mechanism

Abstract

The invention discloses a power cut plan self-service arrangement method using a dual check mechanism, and relates to the technical field of power system operation and maintenance, and the method comprises the steps: appointing a target year and month, and determining a superior ultra-high voltage power grid maintenance plan to form a set L; sorting the devices in the jurisdiction into sets A, B and C according to voltage levels; combining the plans to form A ', B' and C ', then carrying out first risk check, and automatically checking constraints such as a power failure period and supply guarantee demands based on a rule base; after the passing equipment is screened, remaining equipment maintenance is arranged, and a collaborative period parameter t is considered; and carrying out second risk check, checking safety indexes such as power flow out-of-limit, and moving to the next month if the plan is not passed. According to the invention, through a dual check mechanism, the reasonability, efficiency and safety of power-cut plan arrangement are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system operation and maintenance, in particular to a power outage plan self-arranging method using a double checking mechanism. BACKGROUND

[0002] With the development of new power systems, the characteristics of integrated operation of power grids are becoming more and more obvious, the correlation between power outage plans is gradually increasing, and the demand for power outage is gradually increasing. Under this background, the rationality, economy, stability and safety of the power grid operation of the power outage plan are increasingly high, and the rigidity of the power outage plan management is also increasingly high. Under the premise of various types and quantities of power grid equipment, maintenance work is an important part of ensuring the safe operation of the power grid, and is directly related to the reliable power supply of users. However, under the current background of mainly relying on brain knowledge combined with artificial experience for plan arrangement, how to combine the optimization technology of double checking to more reasonably and efficiently compile and balance the power outage plan has become a problem that must be faced: (1) The traditional maintenance operation mode checking and compilation excessively rely on the cognition and judgment of the arrangement personnel, and it is difficult to adapt to new actual needs. Plan arrangement personnel need to carry out manual plan arrangement and detection data interpretation for maintenance equipment, and adjust the operation mode of the power grid system. The operation rules are closely related to the expert experience of the arrangement personnel. The formulation of the maintenance plan needs to consider the complex decision of multiple objectives, and also needs to consider the power grid operation situation, personnel carrying capacity, operation risk, etc. With the increasing complexity of the distribution network, the error rate of relying only on the work experience of the arrangement personnel is gradually increasing, and it is difficult to make efficient and reasonable maintenance plan decisions.

[0003] (2) There is a lack of intelligent rapid scanning and fault plan automatic generation technology for various power grid operation risks under the maintenance plan. The lack of information platform makes it difficult for the power maintenance department to obtain effective technical support, and it is not possible or difficult to reasonably arrange the time of each project that needs to be maintained at the same time. And the outage maintenance process often accompanies the increase of the power grid operation risk, such as important load single power supply, equipment overload and other weak links. The existing system is difficult to respond quickly.

[0004] In summary, the current power grid operation mode checking and maintenance plan arrangement work mainly exists the problems of low decision-making efficiency relying on artificial experience, difficult collaborative decision-making between multiple departments, and lack of potential operation risk preplan means, etc. The practice of maintenance plan and operation mode arrangement which takes manual reporting-manual arrangement-manual coordination as the core is faced with the actual difficulties of complex data, missing constraints, and inefficient process. SUMMARY

[0005] The present application aims to at least solve one of the technical problems existing in the prior art. To this end, one object of the present application is to propose a power outage planning self-arrangement method using a double checking mechanism, which effectively improves the rationality, efficiency and safety of power outage planning arrangement through the double checking mechanism.

[0006] To solve the above problems, the present application provides a power outage planning self-arrangement method using a double checking mechanism, comprising: Step 1: specifying the target year and month of the planning arrangement as the time range reference; Step 2: based on the target year and month, determining the list of power outage equipment involved in the super-high voltage power grid maintenance plan of the superior, forming an initial set L; Step 3: on the basis of step 2, sorting out the equipment to be maintained in the current year and month in the jurisdiction, classifying by voltage level and equipment type to form the sorting set A of 220kV and above voltage level lines and primary equipment, the sorting set B of 110kV and below voltage level lines and transformer equipment, and the sorting set C of 110kV and below secondary equipment, each set being sorted by equipment importance; Step 4: traversing the sets A, B, C obtained in step 3, checking whether each equipment is covered in the set L of step 2, thereby forming the modified sets A', B', C', and merging these modified sets with the plan of set L to ensure coordination with the superior plan; Step 5: on the basis of the merged plan of step 4, performing the first risk check, automatically checking the sets A', B', C' through the rule library, the check rules including power outage period, power supply demand, equipment outage interval, power flow overrun and personnel carrying capacity; Step 6: based on the check results of step 5, screening out the sets A', B', C' that pass the first risk check, and calculating the remaining equipment sets a, b, c, where a=A-A', b=B-B', c=C-C'; Step 7: for the set a obtained in step 6, arranging line outage maintenance, and searching for each side interval of the line, if the expiration time of the equipment in the interval differs within the preset parameter t, then arranging the equipment to follow the line maintenance, realizing coordinated arrangement; Step 8: on the basis of step 7, arranging the maintenance plan for the primary equipment and lines in set b; if it is a primary equipment, searching for the equipment in its power supply range and arranging them to be maintained within the parameter t period; if it is a line, using similar coordinated processing as step 7; Step 9: after step 8, for the secondary equipment in set c, arranging power outage maintenance, and searching for the equipment in the power supply range of the interval to arrange them to be maintained within the parameter t period; Step 10: After the scheduling of steps 7 to 9 is completed, a second risk check is performed to check whether the power grid flow is out of limit, power protection conflict and other safety indicators. The equipment that fails the check is arranged in the next month's maintenance plan and marked as "high" in importance. The above check is re-executed in the next month's plan to complete the double-check mechanism under the plan arrangement.

[0007] Preferably, the rule base in step 5 is automatically generated through data analysis, including outage window period rules, maximum work period rules and mutual exclusion rules for the same outage; the rule base is based on power generation plan data, load forecast data and power grid operation data, and is dynamically updated after calculating future state operation indicators.

[0008] Preferably, the second risk check in step 10 includes simulation of system safety evaluation after power outage, and automatically proposes modification suggestions for schemes that cause bus voltage out of limit, line overload or transformer overload, and staggered maintenance time to optimize the plan.

[0009] Preferably, the method further includes a data integration step with external systems: before step 1 starts, data is exchanged with D5000, dispatching automation system, power grid resource center and dispatching and control cloud system to obtain basic supporting data required for power outage plan arrangement.

[0010] Preferably, the parameters t in steps 7, 8 and 9 are variable parameters, the default value is 1.5 years, which is used to control the coordination cycle of equipment maintenance, and the parameter t can be adjusted by manual intervention according to the actual operation of the power grid.

[0011] Preferably, the risk check in steps 5 and 10 supports manual intervention mechanism: dispatch personnel can manually adjust the check results based on expert experience, thereby improving the self-healing ability and accuracy of the model.

[0012] Preferably, the generation of the outage window period rule includes: obtaining multi-source data through the data management module, calculating the standby capacity, stability margin and network congestion of the system in the future state, and automatically determining the outage window period based on the index analysis.

[0013] Preferably, the plan merging in step 4 follows the priority principle: the equipment maintenance plans of sets A', B' and C' are merged with set L plan first to ensure the consistency of the upper and lower plans.

[0014] Preferably, the processing order of the remaining equipment sets a, b and c in step 6 is fixed: first process set a (high voltage level equipment), then process set b (medium voltage level equipment), and finally process set c (secondary equipment) to optimize resource allocation.

[0015] Preferably, the method further comprises a rule base maintenance step: periodically updating the checking rules based on power grid operation data and expert experience to ensure the adaptability and accuracy of the double checking mechanism.

[0016] The present application has the following advantages compared with the prior art: (1) Unified maintenance plan description, which standardizes the unified description of maintenance plan requirements, and uniformly specifies the naming of line names, interval names, voltage levels, etc., and the keywords of maintenance resource and cycle description.

[0017] (2) Increase the optimization of maintenance plan arrangement, consider the constraints of personnel carrying capacity, power supply demand, etc., so that the arrangement model is more realistic and reasonable.

[0018] (3) Improve the efficiency of maintenance plan arrangement, save the time of dispatchers manually checking and arranging the equipment maintenance period and the upper grid maintenance plan.

[0019] (4) Man-machine interaction, through the way of dispatchers manually intervening the results, improve the model self-healing and self-repairing ability, so that the model is more dynamic, and the model accuracy is improved from the experience angle. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0021] Figure 1 The system architecture diagram for the power outage maintenance plan preparation and optimization in the present application; Figure 2 The window period rule generation schematic diagram of the present application. DETAILED DESCRIPTION

[0022] The embodiments of the present application will be described in detail below, and the examples of the embodiments are shown in the drawings, wherein the same or similar reference signs represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present application, and cannot be understood as a limitation of the present application.

[0023] In the description of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through intermediate medium, it can be the internal communication of two elements or the interaction relationship of two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0024] The present application will be further described in detail below in combination with the drawings.

[0025] The power outage plan self-arranging method using double checking mechanism of the present application comprises the following steps: Step 1: specify the year and month.

[0026] Step 2: determine the current year and month of the super-high voltage power grid maintenance plan involved in the equipment list range set L.

[0027] Step 3: sort out the equipment to be maintained in the current year and month in the jurisdiction, and form the set A of 220kV and above voltage level lines and primary equipment, the set B of 110kV and below voltage level lines and power transformation equipment, and the set C of 110kV and below secondary equipment. The three sets are sorted according to the importance level of the equipment.

[0028] Step 4: traverse the equipment list in A, B and C sets in turn to see if it is covered in L, and form three new sets A', B' and C'. The equipment maintenance plans in A', B' and C' sets are combined with the plans in L set in principle.

[0029] Step 5: risk checking, using rules to check the revised plans in A', B' and C', the checking rules include outage period, power supply demand, 35kV same equipment outage interval more than 3 months, 110kV same equipment outage interval more than 6 months, whether the power flow is over limit, whether the personnel carrying capacity is over limit, etc., and the rules are picked up in the checking rule library.

[0030] Step 6: form the revised sets A', B' and C' after passing the checking, at this time the remaining three equipment sets are a=A-A', b=B-B' and c=C-C'.

[0031] Step 7: arrange the line outage maintenance in a in turn, and search the interval on each side of the line, if the equipment in the interval is due within t (variable parameter, default is 1.5 years), then the equipment follows the line maintenance.

[0032] Step 8: Schedule the maintenance plan for the primary equipment and lines in b in turn, if it is a primary equipment, find the equipment within the power supply range of the interval within t period, arrange it for maintenance; if it is a line, similar to step 7.

[0033] Step 9: Schedule the maintenance of the secondary equipment in c in turn, and search for the equipment within the power supply range of the interval within t period, arrange it for maintenance.

[0034] Step 10: Risk check, check whether the power flow is out of limit, whether the power protection conflict, etc. Risk and safety check. The device that does not pass the check is arranged to the next month's maintenance plan, and the important level is marked as "high", and the above check is performed again in the next month's maintenance plan.

[0035] In order to more clearly illustrate the specific embodiments of the present application, an embodiment is provided as follows: I. System architecture As shown in Figure 1 The power outage plan self-arrangement method using double checking mechanism of the present application obtains basic support data of power outage plan arrangement and optimization algorithm components through data integration with D5000, dispatching automation system, power grid resource center, dispatching and control cloud and the like, and then checks and optimizes personnel carrying capacity, power protection demand, repeated power outage and merging optimization and the like.

[0036] II. Implementation of system key technologies The power outage plan function arrangement module realizes automatic optimization and arrangement of power outage plan window period, improves the efficiency and rationality of power outage plan arrangement, with the goal of maximizing the satisfaction of power outage demand and the constraint of power grid safe operation condition. The power outage plan optimization and adjustment can set the target and constraint of optimization and adjustment through optimization target setting and constraint condition setting, so as to realize the optimization of annual and monthly power outage plan.

[0037] (1) Power outage plan rule library The power outage plan rule library includes window period rule, maximum work period rule, same outage mutual exclusion rule and the like, provides checking rules for power outage plan rule checking, and provides power grid safety constraint conditions for power outage plan optimization and adjustment.

[0038] (2) Power outage window period rule auxiliary generation The system analyzes multiple data sources such as power generation plan data, load prediction data and power grid operation data, calculates the future state operation mode of the power grid, obtains the standby capacity, stability margin and network congestion of the power grid in a period of time in the future. Evaluate various indicators to automatically obtain the window period that can be arranged for power outage, and write it into the power outage rule library as the window period rule, which provides the window period constraint for power outage plan arrangement. The power outage window period generation process is shown in Figure 2 .

[0039] The data management module is used to obtain power generation plans, load forecasts, network models, and other data.

[0040] The future power flow and operation mode are calculated to obtain system future state reserve capacity, stability margin, network congestion, and other indicators.

[0041] The indicators are analyzed to determine the window period for arranging power outage plans and store them in the power outage plan rule library to provide window period rules for power outage plan verification.

[0042] (3) Power outage mutual exclusion rule assisted generation The system's device mutual exclusion power outage rules are mainly based on the actual situation of the power grid and expert experience to determine devices that cannot be powered off simultaneously and are stored in the power outage rule library. The principles for determining mutual exclusion rules are as follows: The tie lines between substations cannot be arranged for maintenance at the same time (for multiple tie lines, two cannot be arranged for maintenance at the same time).

[0043] As mutual backup power sources for a substation, two or more tie lines cannot be arranged for maintenance at the same time (for multiple tie lines, two cannot be arranged for maintenance at the same time, T-connected stations belong to this category).

[0044] The busbars and main transformers within a substation that are mutually backed up cannot be arranged for maintenance at the same time.

[0045] Cross-regional and special line customer tie lines cannot be arranged for maintenance of two or more tie lines at the same time (for multiple tie lines, two cannot be arranged for maintenance at the same time).

[0046] Seasonal constraints. During periods of high hydropower generation, related equipment maintenance is not arranged to avoid affecting hydropower output; during spring or winter irrigation, related transmission, transformation, and distribution facilities are not arranged for maintenance to avoid affecting spring and winter irrigation.

[0047] Safety constraints. System evaluation is performed after simulating the power outage of devices that need to be powered off, and modification suggestions are made for power outage plans that cause busbar voltage out-of-limit, line overload, and transformer overload, with maintenance time (interval) staggered.

[0048] The power outage of certain power grid devices causes changes in the grid structure, indirectly affecting the safe and stable operation of the system. To ensure that the system meets the N-1 operation under these special operating modes, related power grid devices need to be strictly prohibited from being arranged for power outage during this period.

[0049] (4) Power outage coordination rule assisted generation The assisted generation function of the system's power outage coordination rules is based on the actual situation of the power grid and expert experience to determine devices that need to be powered off simultaneously to reduce the number of repeated power outages and maintenance costs. The principles for determining the same power outage rules are as follows: The power transmission worker area, power distribution and cable worker area and special line customer all cooperate with the substation worker area to arrange the maintenance time, that is, the principle of taking the substation worker area maintenance as the center.

[0050] When the ultra-high voltage company involves the repeated power outage of the line worker area equipment, it cooperates with the line worker area to arrange the maintenance according to the power outage plan.

[0051] The equipment causing the same area power outage in the same substation should be arranged for maintenance in the same time period.

[0052] (5) Power outage period rule electronicization The system establishes the equipment power outage period rule library based on the requirements of the power equipment maintenance procedure about various types of power transmission and transformation equipment maintenance period and requirements, realizes the electronicization of the power outage standard period, and supports the maintenance period constraints of various types of equipment such as transformers, lines and units.

[0053] (6) Multi-rule checking of power outage plan The multi-rule of the system is mainly based on the power outage rules in the power outage rule library, and each power outage plan application is subjected to knowledge reasoning, respectively triggering the active rule mode to complete the intelligent analysis and adjustment of the power outage plan data, finally automatically generating a scientific and reasonable power grid power outage plan, realizing the intelligence of power outage plan analysis. The checking rules include power outage window period checking, mutual exclusion rule checking, same outage rule checking and power outage period checking.

[0054] Finally, the unfinished parts of the present application all adopt mature products and mature technical means in the prior art.

[0055] The above describes the present application and its embodiments, which are not restrictive, and the embodiments shown in the drawings are only one of the embodiments of the present application, and the actual structure is not limited thereto. In summary, if a person skilled in the art is inspired by it, without departing from the purpose of the present application, without creative design, similar structure and embodiments of the technical scheme can be designed, which should belong to the protection scope of the present application.

Claims

1. A power outage schedule self-scheduling method using a double check mechanism, characterized by, The method comprises the following steps: Step 1: specifying the target year and month of the plan arrangement as the time range reference; Step 2: determining the list of power-off equipment involved in the superior EHV grid maintenance plan based on the target year and month, forming an initial set L; Step 3: on the basis of Step 2, sorting the equipment to be maintained in the current year and month in the jurisdiction according to voltage level and equipment type, forming a sorted set A of 220kV and above voltage level lines and primary equipment, a sorted set B of 110kV and below voltage level lines and substation equipment, and a sorted set C of 110kV and below secondary equipment, each set being sorted according to equipment importance; Step 4: traversing the sets A, B, and C obtained in Step 3, checking whether each equipment is covered in the set L of Step 2, thereby forming modified sets A', B', and C', and merging these modified sets with the plan of set L to ensure coordination with the superior plan; Step 5: on the basis of the merged plan of Step 4, performing a first round of risk checking, automatically checking the sets A', B', and C' through a rule library, the checking rules including power-off period, power supply demand, equipment power-off interval, power flow overrun, and personnel carrying capacity; Step 6: based on the checking results of Step 5, screening out the sets A', B', and C' that pass the first round of risk checking, and calculating the remaining equipment sets a, b, and c, where a=A-A', b=B-B', and c=C-C'; Step 7: for the set a obtained in Step 6, arranging line power-off maintenance, and searching for intervals on each side of the line; if the expiration times of the equipment in the intervals differ by less than a preset parameter t, then arranging the equipment to follow the line maintenance, achieving coordinated arrangement; Step 8: on the basis of Step 7, arranging maintenance plans for the primary equipment and lines in set b; if it is primary equipment, searching for equipment in its power supply range and arranging them to be maintained together within a parameter t period; if it is a line, using a similar coordinated processing as Step 7; Step 9: after Step 8, arranging power-off maintenance for the secondary equipment in set c, and searching for equipment in the power supply range of the interval to arrange them to be maintained together within a parameter t period; Step 10: after the plan arrangement of Steps 7 to 9 is completed, performing a second round of risk checking to check whether the power grid power flow is over limit, power supply conflict, and other safety indicators; arranging equipment that fails the checking to the next month's maintenance plan and marking the important level as "high"; re-executing the above checking in the next month's plan, thereby completing the plan arrangement under the double-checking mechanism.

2. The power outage plan self-scheduling method using double check mechanism according to claim 1, characterized in that: The rule library in Step 5 is automatically generated through data analysis, including power-off window period rules, maximum work period rules, and same power-off mutual exclusion rules; the rule library is dynamically updated based on power generation plan data, load prediction data, and power grid operation data after calculating future state operation indicators.

3. The power outage planning self-arranging method using double check mechanism according to claim 1, characterized in that: The second round of risk checking in Step 10 includes simulating system safety evaluation after power-off, automatically providing modification suggestions for schemes that cause bus voltage overrun, line overload, or transformer overload, and staggering maintenance time to optimize the plan.

4. The power outage planning self-arranging method using double check mechanism according to claim 1, characterized in that: The method further comprises a data integration step with external systems: before step 1, data interaction is performed with D5000, dispatch automation system, grid resource platform and dispatching cloud system to obtain basic support data required for power outage planning arrangement.

5. The power outage planning self-arranging method using double check mechanism according to claim 1, characterized in that: The parameter t in steps 7, 8 and 9 is a variable parameter, and the default value is 1.5 years, which is used to control the coordination cycle of equipment maintenance, and the parameter t can be adjusted by manual intervention according to the actual operation of the power grid.

6. The power outage planning self-arranging method using double check mechanism according to claim 1, characterized in that: The risk checking in steps 5 and 10 supports manual intervention mechanism: dispatch personnel can manually adjust the checking result based on expert experience, thereby improving the self-healing ability and accuracy of the model.

7. The power outage scheduling self-arranging method using double check mechanism according to claim 2, characterized in that: The generation of the power outage window period rule comprises: obtaining multi-source data through a data management module, calculating the standby capacity, stability margin and network congestion of the future state of the system, and automatically determining the power outage window period based on index analysis.

8. The power outage planning self-arranging method using double check mechanism according to claim 1, characterized in that: The plan merging in step 4 follows the priority principle: the equipment maintenance plans of sets A', B' and C' are merged with set L first to ensure the consistency of the plans of upper and lower levels.

9. The power outage planning self-scheduling method using double-check mechanism according to claim 1, characterized in that: The processing order of the remaining equipment sets a, b and c in step 6 is fixed: set a (high voltage level equipment) is processed first, then set b (medium voltage level equipment) is processed, and finally set c (secondary equipment) is processed to optimize resource allocation.

10. The power outage scheduling self-scheduling method using a double check mechanism according to claim 1, characterized in that: The method further comprises a maintenance step of the rule library: the checking rules are updated regularly based on grid operation data and expert experience to ensure the adaptability and accuracy of the double checking mechanism.

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