CN112149842A - Power grid maintenance management method and device - Google Patents
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Abstract
The invention discloses a power grid overhaul management method and a device, wherein the power grid overhaul management method comprises the following steps: acquiring a maintenance plan according to different maintenance periods and verifying the maintenance plan to obtain a maintenance plan which is verified to be qualified; determining an optimization target and constraint conditions according to the checked qualified maintenance plan; and processing the maintenance plan according to the optimization target and the constraint condition to generate and release the optimized maintenance plan. According to the invention, a set of safe and minimally risky maintenance scheme is provided for the power grid in a most economical, energy-saving and fair manner by combining the actual operation conditions of the unit and the power system operation equipment according to the different time sequence load prediction results of the power grid such as year, month, week and day; the reasonable maintenance of the equipment can eliminate the fault and potential danger of the equipment in time, realize energy conservation and emission reduction, loss reduction and consumption reduction of the maintenance link, reduce the safety risk of the power grid, improve the economic benefit and social benefit of the power grid operation, and assist the decision and work of scheduling operators.
Description
Technical Field
The invention relates to the technical field of power grid dispatching, in particular to a method and a device for overhauling and managing a power grid.
Background
The electric network implements a four-stage dispatching system of 'unified dispatching and hierarchical management', and the electric power dispatching mechanism is divided into four stages: the first-level dispatching is a power dispatching control center of a power grid in south China; the second-level scheduling is a provincial (autonomous region) level scheduling mechanism; the third-level scheduling is a region (city, state) level power scheduling mechanism; the four-level scheduling is a county-level power scheduling mechanism. The dispatching mechanisms at all levels are in the upper-lower level relation in the dispatching service activity, and the lower level dispatching mechanisms must obey the dispatching command of the upper level dispatching mechanisms. No matter the ownership and the operation right of the power plant and the transformer substation in the network belong to, the power plant and the transformer substation must obey the dispatching command of a corresponding dispatching mechanism. And each level of power dispatching mechanism of the southern power grid is responsible for organizing, commanding, guiding and coordinating the operation of the power grid under jurisdiction, and professional management work such as power grid dispatching, operation modes, water and electricity dispatching, relay protection, power communication, dispatching automation and the like, so that the safe, economic, high-quality and environment-friendly operation of the power grid is ensured.
In the related technology, the maintenance of the power grid is an important link for the normal operation of the power grid. However, because the data volume of the power grid information is large and the change is frequent, the equipment can not be known in advance when the equipment has faults, so that the power system has high safety risk.
Disclosure of Invention
The invention aims to provide a power grid maintenance management method and a power grid maintenance management device so as to reduce the safety risk of a power system during power grid equipment maintenance.
In order to solve the technical problem, the invention provides a power grid overhaul management method, which comprises the following steps:
acquiring a maintenance plan according to different maintenance periods and verifying the maintenance plan to obtain a maintenance plan which is qualified in verification;
determining an optimization target and constraint conditions according to the checked qualified maintenance plan;
and processing the maintenance plan according to the optimization target and the constraint condition, generating and issuing the optimized maintenance plan.
Further, the obtaining of the maintenance plan according to different maintenance periods includes:
acquiring maintenance plans of year, month, week and day;
the service plan includes: service application data, service execution data, and service breakdown data.
Further, the verifying the service plan includes:
checking the summarized maintenance plans of different maintenance periods, and deleting the repeated and irregular reported maintenance plans;
grouping the maintenance applications of different devices with the requirement of the matching relationship;
and sequencing the overhaul applications of different devices with the requirement of the sequence.
Furthermore, the optimization targets and the constraint conditions are multiple, and comprise annual optimization targets, annual constraint conditions, monthly optimization targets and monthly constraint conditions;
the annual optimization objective includes: an economic optimization objective, an economic and reliability optimization objective;
the annual constraints include: the method comprises the following steps of (1) unit maintenance constraint, maintenance resource and maintenance force constraint, power system reliability constraint and unit output constraint;
the monthly optimization objective includes: a three-party scheduling optimization objective and an electric power market optimization objective;
the monthly constraint includes: maintenance constraint of equipment, power grid safe operation constraint and generator set side constraint.
Further, the determining of the optimization target and the constraint condition according to the checked qualified maintenance plan includes:
and determining corresponding optimization targets and constraint conditions according to the requirements of the maintenance plan.
Further, the processing the maintenance plan according to the optimization objective and the constraint condition, generating and issuing an optimized maintenance plan includes:
and respectively processing the annual overhaul plan, the monthly overhaul plan, the weekly overhaul plan and the daily overhaul plan to obtain a check section, performing safety check on the check section, correcting the information which cannot pass the safety check until the information meets the safety check, and outputting and issuing the optimized overhaul plan.
Further, before determining the optimization objective and the constraint condition according to the checked qualified maintenance plan, the method further includes: pre-analyzing the maintenance plan;
the pre-analysis of the service plan includes:
calculating the load reserve capacity and the accident reserve capacity of the power grid in the overhaul period, and quantitatively analyzing whether the reserve capacity of the whole power grid and the subareas is sufficient or not;
calculating the network blocking condition of a local power grid in a maintenance period, and quantizing the output limited information of the important power supply points;
and calculating the heavy load condition of important equipment or sections of the power grid in the overhaul period, the quantity and the accumulated time of 90-100% stability limit of the equipment or section tidal current operation, and whether the ultra-stable operation condition exists, evaluating the safety of the power grid, and analyzing the operation risk degree of the power grid.
The invention also provides a maintenance management device of the power grid, which comprises:
the acquisition module is used for acquiring a maintenance plan according to different maintenance periods and verifying the maintenance plan to obtain a maintenance plan which is qualified in verification;
the determining module is used for determining an optimization target and a constraint condition according to the checked qualified maintenance plan;
and the generating module is used for processing the maintenance plan according to the optimization target and the constraint condition, generating and releasing the optimized maintenance plan.
Further, the overhaul management device of the power grid further comprises:
the pre-analysis module is used for pre-analyzing the maintenance plan;
the pre-analysis of the service plan includes:
calculating the load reserve capacity and the accident reserve capacity of the power grid in the overhaul period, and quantitatively analyzing whether the reserve capacity of the whole power grid and the subareas is sufficient or not;
calculating the network blocking condition of a local power grid in a maintenance period, and quantizing the output limited information of the important power supply points;
and calculating the heavy load condition of important equipment or sections of the power grid in the overhaul period, the quantity and the accumulated time of 90-100% stability limit of the equipment or section tidal current operation, and whether the ultra-stable operation condition exists, evaluating the safety of the power grid, and analyzing the operation risk degree of the power grid.
Further, the obtaining of the maintenance plan according to different maintenance periods includes:
acquiring maintenance plans of year, month, week and day;
the service plan includes: service application data, service execution data, and service breakdown data.
The embodiment of the invention has the beneficial effects that: according to the method, the maintenance plan of the unit and the equipment is arranged according to the load prediction results of different time sequences of the power grid such as year, month, week and day and by combining the actual operation conditions of the unit and the power system operation equipment, and a set of safe and minimally risky maintenance scheme is provided for the power grid in the most economical, energy-saving and fair manner; the reasonable maintenance of the equipment can eliminate the fault and potential danger of the equipment in time so as to ensure the safety and reliability of the operation of the power system, and the resource optimization configuration potential and space of each link of maintenance plan arrangement are deeply excavated through scientific decision-making and coordination optimization, so that the energy conservation and emission reduction, the loss reduction and consumption reduction of the maintenance link are realized, the safety risk of a power grid is reduced, the economic benefit and the social benefit of the power grid operation are improved, a function-integrated maintenance plan decision-making platform is formed, and the decision-making and the work of scheduling operators are assisted.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a power grid overhaul management method according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a power grid maintenance management device according to a second embodiment of the present invention.
Detailed Description
The following description of the embodiments refers to the accompanying drawings, which are included to illustrate specific embodiments in which the invention may be practiced.
As shown in fig. 1, an embodiment of the present invention provides a method for overhaul management of a power grid, including:
s101, acquiring a maintenance plan according to different maintenance periods and verifying the maintenance plan to obtain a maintenance plan qualified in verification;
and extracting maintenance application data, maintenance execution data and maintenance decomposition data from the comprehensive data platform according to different time periods of year, month, week and day, and performing data verification (such as repeated declaration, irregular declaration and the like) on the summarized maintenance application data in different periods.
Wherein, the overhaul plan includes the overhaul declaration of the equipment, specifically includes declaration of the equipment overhaul ticket (the aircraft maintenance ticket and the electrical equipment overhaul ticket), and the contents that need to be declared for the overhaul of the aircraft equipment are as follows: the system comprises a maintenance application unit, an application date, a maintenance equipment name, equipment capacity, maintenance content, application work starting time, application work finishing time, an applicant, a unit person in charge and other information; the electric equipment maintenance need declaration is as follows: the system comprises a maintenance application unit, an application date, a maintenance equipment name, a power failure range and an attached drawing, application power failure starting time, application work finishing time, application power restoration time, an applicant, a unit person in charge and other information.
S102, determining an optimization target and constraint conditions according to the checked qualified maintenance plan;
the optimization targets and the constraint conditions are multiple, and the appropriate optimization targets and the appropriate constraint conditions are selected according to the needs of users, so that the aim of optimizing the maintenance plan is fulfilled.
And S103, processing the maintenance plan according to the optimization target and the constraint condition, generating and issuing the optimized maintenance plan.
And performing closed-loop integrated optimization and check on the maintenance plans in different periods according to the optimization target and the constraint condition, and finally generating the maintenance plan meeting the safety constraint and the optimization principle.
The working principle of the power grid overhaul management method is as follows: acquiring a maintenance plan according to different maintenance periods and verifying the maintenance plan to obtain a maintenance plan which is qualified in verification; determining an optimization target and constraint conditions according to the checked qualified maintenance plan; the maintenance plan is processed according to the optimization target and the constraint condition, the optimized maintenance plan is generated and issued, the maintenance plan of the unit and the equipment is arranged according to different time sequence load prediction results of the power grid such as year, month, week and day and by combining the actual operation conditions of the unit and the power system operation equipment, and a set of safe and minimum-risk maintenance scheme is provided for the power grid in the most economical, energy-saving and fair manner.
Preferably, the acquiring the service plan according to the different service periods includes:
acquiring maintenance plans of year, month, week and day;
the service plan includes: service application data, service execution data, and service breakdown data.
According to the method and the system, the maintenance plan is appointed through different maintenance periods of year, month, week and day, the maintenance plan can be processed more finely, and safety is guaranteed.
In some embodiments, the verifying the service plan includes:
checking the summarized maintenance plans of different maintenance periods, and deleting the repeated and irregular reported maintenance plans;
grouping the maintenance applications of different devices with the requirement of the matching relationship;
and sequencing the overhaul applications of different devices with the requirement of the sequence.
Specifically, the naming and numbering of elements such as generator sets, circuits, buses, main transformers and switches in the maintenance plan provided by the application should be consistent with the comprehensive data platform. And the application supports the associated setting of the overhaul application. Providing a grouping function for different equipment maintenance applications with matching relation requirements; and a sequencing function is provided for different equipment maintenance applications with sequencing requirements. The method and the system support the import and storage of the information of the maintenance application and the related accessories, support the manual adjustment of the optimization result of the maintenance plan, and support the data sharing of the maintenance plan between the upper and lower scheduling stages.
In some embodiments, the optimization objectives and constraints are multiple, including an annual optimization objective, an annual constraint, a monthly optimization objective, and a monthly constraint;
the annual optimization objective includes: an economic optimization objective, an economic and reliability optimization objective;
the annual constraints include: the method comprises the following steps of (1) unit maintenance constraint, maintenance resource and maintenance force constraint, power system reliability constraint and unit output constraint;
the monthly optimization objective includes: a three-party scheduling optimization objective and an electric power market optimization objective;
the monthly constraint includes: maintenance constraint of equipment, power grid safe operation constraint and generator set side constraint.
Specifically, the optimization objective considered by the annual overhaul plan is as follows:
(1) economic optimization objective
In the market environment, each market member must seek to maximize his or her profit. Accordingly, a goal in generating a generator set service plan in a market environment is to minimize revenue losses to the power generation company during service. Therefore, the minimization of the overhaul cost and the production cost is taken as an objective function of the overhaul optimization of the equipment.
The cost of servicing a generator set is generally made up of two parts. One part is Maintenance Investment loss caused by the fact that a unit is not abraded (MIL for short), which is caused by the fact that the unit is overhauled too early. The other part is the actual Maintenance Cost (out-of-pocket Maintenance Cost, PMC for short). If the overhaul is too late, the expected value of the overhaul cost will rise significantly, since the neglected unit will be getting worse at an accelerated rate, making it more expensive to overhaul, and PMC represents the part of the overhaul cost. There is, of course, a desired cost associated with the rapid increase in the likelihood of forced outages.
Taking the last overhaul of the unit as a starting point, the MIL gradually decreases and the PMC gradually increases as time advances, for each unit, the total overhaul cost (MIL + PMC) is a convex function, and in a power market, the lowest point of the convex function can be understood as an 'ideal position' for the repair of the power plant, and all the generator sets are uniformly coordinated by the power joint operation center.
(2) Optimization objective considering both economy and reliability
In consideration of economy, the general method is to minimize the sum of production costs and overhaul costs. By integrating the two sub-targets, a weighting coefficient method can be adopted to convert the multi-target problem into the single-target problem.
The constraints considered by the annual service plan are as follows:
unit maintenance constraints are requirements that must be continuously completed for maintenance of "windows" and maintenance. In particular, the unit must remain available before the earliest period of service, and after the latest period of service, and be completely shut down for the duration of the service.
And (4) the constraints of the overhaul resources and overhaul force, namely the limitation of the overhaul resources and the number of overhaul personnel is considered.
Reliability constraints of the power system. Reliability is not considered as an objective function but is considered as a constraint condition in a mathematical model considering economy, and an expected value of the electric quantity shortage in the t-th period is considered as an index for evaluating reliability.
And (5) restraining the output of the unit. I.e. the required unit capacity cannot be exceeded.
For the monthly maintenance planning function, the power generation maintenance planning decision is a structural optimization problem of the scheduling operation of the power system, and has important influence on the safe and stable operation of the power system. How to scientifically and reasonably arrange a maintenance plan of the power generation equipment and optimize and configure power equipment resources is an important work content in the actual power production.
In the actual maintenance planning process, the power generation company declares the maintenance time interval of the unit, and then the power regulation center coordinates the maintenance time interval. The former needs the power company to perform detailed evaluation on the safety condition, the maintenance record, the maintenance cost and the operation policy of the unit, the long-term electric energy quotation strategy, the production plan, the fuel supply and the like, and report the maintenance with the maximum expected benefit of the company.
In the actual maintenance scheduling work, due to a plurality of uncertainty factors existing in the annual range, the maintenance scheduling of the power grid company is mainly monthly. Therefore, there are two new requirements in the maintenance planning work of the grid company: (1) reporting and arranging maintenance plans of all equipment by taking monthly as a unit; (2) the maintenance plan of the power generation and transmission equipment needs to be coordinated, and the integrated optimization analysis of the power generation and transmission maintenance is realized.
Wherein, the optimization target of monthly maintenance plan consideration includes: a three-party scheduling optimization objective and an electric power market optimization objective;
(1) and three public scheduling optimization targets, aiming at the new requirement of an actual maintenance mode, the optimization targets arranged by a next-month maintenance plan are two items:
the overhaul declaration requirement of the equipment is met as much as possible;
and the equipment with high overhaul priority level is preferentially arranged for overhaul.
Wherein the first object has a higher priority than the second object. If the scheduled equipment to be overhauled cannot be obtained in the next month, the overhaul plan can be re-declared in the future month, and the dispatching center correspondingly adjusts the overhaul priority level.
(2) And (3) optimizing a target in the power market, wherein the target function is considered to be the minimum sum of overhaul cost, production cost and power failure cost of the power generation equipment.
Wherein the service constraints of the equipment include: overhaul declaration constraints, overhaul manpower constraints, overhaul resource constraints, overhaul mutual exclusion constraints, overhaul sequence constraints and simultaneous overhaul constraints.
The power grid safe operation constraint mainly comprises main section constraint, branch direct current power flow constraint and line transmission limit constraint.
The generator set side constraint mainly comprises coupling constraint of generator set maintenance starting period variables, generator set output upper and lower limit constraint and generator set standby capacity constraint.
In some embodiments, the determining optimization objectives and constraints according to the checked qualified overhaul plan includes:
and determining corresponding optimization targets and constraint conditions according to the requirements of the maintenance plan.
Specifically, the user selects the corresponding optimization target and constraint condition in the above embodiment according to actual needs, and performs corresponding optimization.
In some embodiments, the processing the maintenance plan according to the optimization objective and the constraint condition, and generating and publishing an optimized maintenance plan includes:
and respectively processing the annual overhaul plan, the monthly overhaul plan, the weekly overhaul plan and the daily overhaul plan to obtain a check section, performing safety check on the check section, correcting the information which cannot pass the safety check until the information meets the safety check, and outputting and issuing the optimized overhaul plan.
Preferably, a key check section is formed based on an annual maintenance plan and sent to a safety check program for checking. And if the section which cannot pass the safety check exists in the annual maintenance plan, the plan function module constructs the annual maintenance plan correction constraint by combining the information fed back by the safety check, feeds back the annual maintenance plan correction constraint to the plan making optimization model and the plan making optimization process, and modifies the maintenance plan until the requirement of the safety check is met.
Due to the long overhaul time of the generator set, the overhaul plan beginning in the next month may extend to the future month and affect the safe and stable operation of the power grid in the future month. Therefore, when the system model is adopted for decision making, safety check on the time period influenced by the maintenance plan in the future month needs to be added, and the influence of the next month maintenance plan on the safe operation of the power grid in the future month is an important factor to be considered in monthly maintenance plan decision making.
And when the monthly maintenance plan is optimized, forming a key checking section based on the monthly maintenance plan, and sending the key checking section into a safety checking program for checking. And if the section which cannot pass the safety check exists in the maintenance plan, the plan function module constructs annual maintenance plan correction constraint by combining the information fed back by the safety check, feeds back the information to the plan making optimization model and the flow, and modifies the maintenance plan until the requirement of the safety check is met.
The main task of the weekly maintenance plan is to implement the monthly maintenance plan and check the monthly maintenance plan. Because the overhaul time of the unit is long, and the overhaul of the equipment generally requires several days, the overhaul plan optimization calculation is not generally carried out in the week, and only the declaration and planning of temporary overhaul are received in the week.
Wherein, the implementation process of the weekly plan is as follows:
and (5) batch import of weekly maintenance applications.
And newly adding identification of the weekly maintenance application.
And (5) implementing a cross-cycle maintenance plan.
And generating a weekly maintenance plan by combining the temporary maintenance application and the existing maintenance plan to be implemented.
And (5) safety checking of the weekly maintenance plan.
And generating a weekly maintenance plan.
And when the weekly maintenance plan is optimized, forming a key check section based on the weekly maintenance plan, and sending the key check section into a safety check program for checking. And if the section which cannot pass the safety check exists in the maintenance plan, the plan function module constructs annual maintenance plan correction constraint by combining the information fed back by the safety check, feeds back the information to the plan making optimization model and the flow, and modifies the maintenance plan until the requirement of the safety check is met.
The main task of the day-ahead maintenance plan is to implement the monthly and weekly maintenance plans and check the daily maintenance plan to be implemented. Because the overhaul time of the unit is long, and the overhaul of the equipment generally needs several days, the optimization calculation of the overhaul plan is not carried out before the day, and only the declaration and the planning of temporary overhaul are received.
The implementation process of the day-ahead plan comprises the following steps:
and receiving batch import of the previous maintenance application.
And identifying the previous overhaul application.
Inheriting and implementing a medium-and-long-term maintenance plan and a maintenance plan which is already worked on
And comprehensively considering the temporary maintenance application applied in the day and the maintenance plan to be implemented, and generating the daily maintenance plan.
And safety check of the scheduled maintenance plan.
A day-ahead maintenance plan can be generated that satisfies the safety constraints.
And when the day-ahead maintenance plan is optimized, forming a key check section based on the day-ahead maintenance plan, and sending the key check section into a safety check program for checking. And if the section which cannot pass the safety check exists in the maintenance plan, the plan function module constructs annual maintenance plan correction constraint by combining the information fed back by the safety check, feeds back the information to the plan making optimization model and the flow, and modifies the maintenance plan until the requirement of the safety check is met.
In some embodiments, before determining the optimization objective and the constraint condition according to the checked qualified overhaul plan, the method further includes: pre-analyzing the maintenance plan;
the pre-analysis of the service plan includes:
calculating the load reserve capacity and the accident reserve capacity of the power grid in the overhaul period, and quantitatively analyzing whether the reserve capacity of the whole power grid and the subareas is sufficient or not;
calculating the network blocking condition of a local power grid in a maintenance period, and quantizing the output limited information of the important power supply points;
and calculating the heavy load condition of important equipment or sections of the power grid in the overhaul period, the quantity and the accumulated time of 90-100% stability limit of the equipment or section tidal current operation, and whether the ultra-stable operation condition exists, evaluating the safety of the power grid, and analyzing the operation risk degree of the power grid.
Specifically, the deviation of each period of maintenance plan in actual execution is evaluated and analyzed, the function of each period of maintenance plan in safe and economic operation of the power grid is analyzed, and a reasonable maintenance plan compiling period and a reasonable maintenance plan compiling method are provided in an auxiliary mode. The service plan analysis evaluation should include, but is not limited to, the following functions:
and (4) analyzing the reserve capacity, which can calculate the load reserve capacity and the accident reserve capacity of the power grid in the overhaul period, and quantitatively analyzing whether the reserve capacity of the whole grid and the subareas is sufficient.
Network blocking analysis can calculate the local power grid network blocking condition in the overhaul period and quantize the output limit information of the important power supply points.
And stability margin analysis, namely calculating the heavy load condition of important equipment or a section of the power grid, the quantity and the accumulated time of 90-100% stability limit of the equipment or the section when the tidal current operates in the overhaul period, evaluating the safety of the power grid and analyzing the operation risk degree of the power grid.
As shown in fig. 2, a second embodiment of the present invention provides a power grid maintenance management apparatus, including:
the acquisition module 201 is configured to acquire a maintenance plan according to different maintenance cycles and perform verification processing on the maintenance plan to obtain a maintenance plan which is qualified through verification;
a determining module 202, configured to determine an optimization target and constraint conditions according to the checked qualified maintenance plan;
and the generating module 203 is configured to process the maintenance plan according to the optimization target and the constraint condition, generate an optimized maintenance plan, and release the optimized maintenance plan.
The working principle of the maintenance management analysis device for the power grid provided by the embodiment of the application is that the acquisition module acquires a maintenance plan according to different maintenance periods and verifies the maintenance plan to obtain a maintenance plan which is qualified in verification; the determining module determines an optimization target and constraint conditions according to the checked qualified maintenance plan; and the generating module processes the maintenance plan according to the optimization target and the constraint condition, generates and releases the optimized maintenance plan.
Preferably, the method further comprises the following steps:
the pre-analysis module is used for pre-analyzing the maintenance plan;
the pre-analysis of the service plan includes:
calculating the load reserve capacity and the accident reserve capacity of the power grid in the overhaul period, and quantitatively analyzing whether the reserve capacity of the whole power grid and the subareas is sufficient or not;
calculating the network blocking condition of a local power grid in a maintenance period, and quantizing the output limited information of the important power supply points;
and calculating the heavy load condition of important equipment or sections of the power grid in the overhaul period, the quantity and the accumulated time of 90-100% stability limit of the equipment or section tidal current operation, and whether the ultra-stable operation condition exists, evaluating the safety of the power grid, and analyzing the operation risk degree of the power grid.
Preferably, the acquiring the service plan according to the different service periods includes:
acquiring maintenance plans of year, month, week and day;
the service plan includes: service application data, service execution data, and service breakdown data.
The device provided by the application can also support the leading-in of the temporary maintenance application, support the succession of the maintenance plan and the maintenance task which is started before the day, and support the provision of the 96-point check section on the current day of the temporary maintenance for the safety check application.
The device provided by the application can also acquire various required data generated by other applications through the comprehensive data platform, and the following steps are as follows:
maintenance application information: the system comprises maintenance equipment, work content, planned start work, end time, related requirements, accessories and the like;
acquiring maintenance plan information of the power transmission and transformation equipment from a production management system;
acquiring topological power flow information of real-time monitoring and early warning application from EMS;
acquiring basic state out-of-limit information and heavy load information from an EMS (energy management system), and statically and safely analyzing the out-of-limit information and the heavy load information, the short circuit current out-of-limit information and the heavy load information, and sensitivity information;
and corresponding overhaul assessment information.
The device provided by the application can issue the maintenance plans in each period through the web application, and specifically comprises the following steps:
year, month, week and day-ahead maintenance plans and temporary maintenance check sections;
the section is checked by the periodic maintenance plan and the temporary maintenance and check and is provided for the safety check application;
planning the equipment maintenance in the day ahead;
year, month, week and day-ahead maintenance schedule and temporary maintenance information including equipment name, maintenance start time, maintenance end time, maintenance content, maintenance reason and the like;
the maintenance analysis and evaluation result comprises multiple maintenance scheme inputs, planned values and actual values of standby capacity, network blockage, stability margin, equipment power failure times and the like of each scheme; and the completion rate of the maintenance plan, the execution rate of the maintenance plan, the temporary maintenance rate, the completion rate of maintenance single pressing and the like are counted after the maintenance plan is completed.
In addition, the device provided by the application also has the following functions:
and maintenance and management of maintenance plan classification (annual, monthly, weekly and daily maintenance plans) are supported. The maintenance plan declaration, automatic summarization and audit release functions of the lower-level units;
the functions of releasing, inquiring and generating a report form of the maintenance plan are realized, wherein the inquiry function provides the functions of plan maintenance and non-plan maintenance inquiry;
a function of automatically calculating maintenance indexes such as the completion rate of annual, seasonal, monthly and weekly maintenance plans, the maximum number of daily executions and the like;
the maintenance application and the maintenance plan are associated, and analysis and statistics of maintenance execution conditions are realized;
the linkage function of equipment maintenance and log (scheduling, communication and automation) realizes the record tracking of maintenance links such as start-up, power failure and the like.
The embodiment of the application provides computer equipment, which comprises a processor and a memory connected with the processor;
the memory is used for storing a computer program, and the computer program is used for executing the maintenance management method of the power grid provided by any one of the embodiments;
the processor is used to call and execute the computer program in the memory.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
As can be seen from the above description, the embodiments of the present invention have the following beneficial effects: according to the method, the maintenance plan of the unit and the equipment is arranged according to the load prediction results of different time sequences of the power grid such as year, month, week and day and by combining the actual operation conditions of the unit and the power system operation equipment, and a set of safe and minimally risky maintenance scheme is provided for the power grid in the most economical, energy-saving and fair manner; the reasonable maintenance of the equipment can eliminate the fault and potential danger of the equipment in time so as to ensure the safety and reliability of the operation of the power system, and the resource optimization configuration potential and space of each link of maintenance plan arrangement are deeply excavated through scientific decision-making and coordination optimization, so that the energy conservation and emission reduction, the loss reduction and consumption reduction of the maintenance link are realized, the safety risk of a power grid is reduced, the economic benefit and the social benefit of the power grid operation are improved, a function-integrated maintenance plan decision-making platform is formed, and the decision-making and the work of scheduling operators are assisted.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A method for managing the overhaul of a power grid is characterized by comprising the following steps:
acquiring a maintenance plan according to different maintenance periods and verifying the maintenance plan to obtain a maintenance plan which is qualified in verification;
determining an optimization target and constraint conditions according to the checked qualified maintenance plan;
and processing the maintenance plan according to the optimization target and the constraint condition, generating and issuing the optimized maintenance plan.
2. The method for service management of a power grid according to claim 1, wherein the obtaining a service plan according to different service periods comprises:
acquiring maintenance plans of year, month, week and day;
the service plan includes: service application data, service execution data, and service breakdown data.
3. The grid service management method according to claim 1, wherein the verifying the service plan includes:
checking the summarized maintenance plans of different maintenance periods, and deleting the repeated and irregular reported maintenance plans;
grouping the maintenance applications of different devices with the requirement of the matching relationship;
and sequencing the overhaul applications of different devices with the requirement of the sequence.
4. The method for overhauling and managing the power grid according to claim 1, wherein the optimization objectives and the constraints are multiple, and comprise annual optimization objectives, annual constraints, monthly optimization objectives and monthly constraints;
the annual optimization objective includes: an economic optimization objective, an economic and reliability optimization objective;
the annual constraints include: the method comprises the following steps of (1) unit maintenance constraint, maintenance resource and maintenance force constraint, power system reliability constraint and unit output constraint;
the monthly optimization objective includes: a three-party scheduling optimization objective and an electric power market optimization objective;
the monthly constraint includes: maintenance constraint of equipment, power grid safe operation constraint and generator set side constraint.
5. The method for managing overhaul of a power grid according to claim 4, wherein the determining of the optimization objective and the constraint condition according to the overhaul plan qualified by verification comprises:
and determining corresponding optimization targets and constraint conditions according to the requirements of the maintenance plan.
6. The grid overhaul management method according to claim 2, wherein the processing the overhaul plan according to the optimization objective and the constraint condition to generate and release an optimized overhaul plan comprises:
and respectively processing the annual overhaul plan, the monthly overhaul plan, the weekly overhaul plan and the daily overhaul plan to obtain a check section, performing safety check on the check section, correcting the information which cannot pass the safety check until the information meets the safety check, and outputting and issuing the optimized overhaul plan.
7. The grid overhaul management method of claim 1, further comprising, prior to determining the optimization objective and the constraint condition according to the verified overhaul plan: pre-analyzing the maintenance plan;
the pre-analysis of the service plan includes:
calculating the load reserve capacity and the accident reserve capacity of the power grid in the overhaul period, and quantitatively analyzing whether the reserve capacity of the whole power grid and the subareas is sufficient or not;
calculating the network blocking condition of a local power grid in a maintenance period, and quantizing the output limited information of the important power supply points;
and calculating the heavy load condition of important equipment or sections of the power grid in the overhaul period, the quantity and the accumulated time of 90-100% stability limit of the equipment or section tidal current operation, and whether the ultra-stable operation condition exists, evaluating the safety of the power grid, and analyzing the operation risk degree of the power grid.
8. An overhaul management device of a power grid, comprising:
the acquisition module is used for acquiring a maintenance plan according to different maintenance periods and verifying the maintenance plan to obtain a maintenance plan which is qualified in verification;
the determining module is used for determining an optimization target and a constraint condition according to the checked qualified maintenance plan;
and the generating module is used for processing the maintenance plan according to the optimization target and the constraint condition, generating and releasing the optimized maintenance plan.
9. The grid service management device of claim 8, further comprising:
the pre-analysis module is used for pre-analyzing the maintenance plan;
the pre-analysis of the service plan includes:
calculating the load reserve capacity and the accident reserve capacity of the power grid in the overhaul period, and quantitatively analyzing whether the reserve capacity of the whole power grid and the subareas is sufficient or not;
calculating the network blocking condition of a local power grid in a maintenance period, and quantizing the output limited information of the important power supply points;
and calculating the heavy load condition of important equipment or sections of the power grid in the overhaul period, the quantity and the accumulated time of 90-100% stability limit of the equipment or section tidal current operation, and whether the ultra-stable operation condition exists, evaluating the safety of the power grid, and analyzing the operation risk degree of the power grid.
10. The grid service management device according to claim 8, wherein the obtaining of the service plan according to different service periods comprises:
acquiring maintenance plans of year, month, week and day;
the service plan includes: service application data, service execution data, and service breakdown data.
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