Consider area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization
Method
Technical field
The present invention relates to the technical field of grid maintenance more particularly to a kind of consideration area equipment Life Cycle Costs-
The distribution Maintenance Schedule Optimization method of efficiency ratio.
Background technique
As China's power grid scale constantly expands, electric network composition is increasingly complicated, and power equipment quantity increases year by year.Power distribution network
As the important component part of grid structure and power grid asset, the safe and reliable operation of distribution net equipment operates normally power grid
Vital effect.Distribution maintenance plan arrangement it is reasonable whether not only influence distribution safe operation, also directly affect
To the interests of power supply enterprise and user.
Summary of the invention
In order to overcome above-mentioned distribution maintenance plan arrangement it is reasonable whether not only influence distribution safe operation, it is also direct
The problem of influencing the interests of power supply enterprise and user.The present invention proposes a kind of consideration area equipment Life Cycle Cost-effect
The distribution Maintenance Schedule Optimization method of energy ratio, the technical solution adopted by the present invention is that:
A kind of consideration area equipment Life Cycle Cost-efficiency ratio distribution Maintenance Schedule Optimization method, including it is following
Step:
S1. input equipment initial data provides assessment information;
S2. Risk Identification and risk assessment are carried out to i-th set of equipment, the initial value of i is 1, if desired overhauls, is then walked
Rapid S3;
S3. the top overhaul scheme of i-th set of equipment is provided;
S4. the cost-effectiveness ratio (CER) V (all) of i set equipment, enables if cost-effectiveness ratio (CER) V (all) is met the requirements before calculating
Then i=i+1 executes step S2, the top overhaul scheme for otherwise modifying i-th set of equipment returns to step S3;
S5. after having contemplated that all devices, terminate.
Preferably, the step S2 is as follows:
S201. Risk Identification, acquisition equipment operating data and Equipment Foundations data carry out finishing analysis and obtain the shape of equipment
The probability of malfunction of state information and equipment;Operation data includes online monitoring data, and basic data includes exfactory inspection data, installation
Tune-up data, office of defect city of family, running environment data, history overhaul data;
S202. risk assessment abandons water situation analysis failure effect according to grid operation mode, user power utilization situation, abandonment,
It carries out quantitative analysis and assesses risk of loss;
S203. risk control selects control measure according to the result of risk assessment, it is determined whether overhauled.
Preferably, the equipment Life Cycle Cost includes first Meteorological, operation and maintenance cost, loss of outage
Expense and scrap recovery cost.
Preferably, the cost-effectiveness ratio (CER) V (all) of the equipment of the step S4 is specifically calculated and is included the following steps:
S401. operation and maintenance cost is calculated: Lo=MTTFLo_ave, Lo_aveIndicate generic controller switching equipment in unit
Interior average operation and maintenance cost, can obtain according to historical data analysis;
S402. interruption cost is calculated: Lf=Lequ+Lgrid
Wherein LequIt is lost for asset of equipments:
In formula, K be equipment fault after need resetting component set, MkFor the cost of component k;LrepOverhaul of the equipments after power failure
The expenses summations such as required artificial, machinery, material.
LgridFor grid loss:
In formula, KpFor unit electricity price, N is the set of power supply interrupted district user,t0For the service life of equipment, pn(t) for user n's
Load prediction curve;KsIt is averaged rate for incorporation into the power network for distributed generation resource, M is the set of power supply interrupted district user, pm(t) going out for power supply m
Power prediction curve;
S403. the risk of loss amount of equipment life cycle management interruption cost is calculated:
The reliability of distribution net equipment refers to that equipment maintains reliability service, trouble-proof probability under particular circumstances.
If time of the equipment from putting into operation first-time fault is the time of the no-failure operation of equipment, it is expressed as T, then is set in certain a period of time
Standby reliability is represented by R (t);
S404. due to the first Meteorological L of equipmentiAnd scrap recovery cost LrIt is not associated with maintenance plan establishment, herein
The above-mentioned expense of fixed equipment is considered as permanent number in research process.
S405. distribution net equipment Life Cycle Cost: L is calculatedCC=Li+Lo+Lf'+Lr
S406. the efficiency that equipment life cycle management is created is calculated:
In formula, n indicates distribution net equipment number, and p (t), q (t) are respectively the active power of the t moment equipment, idle function entirely
Rate;k1、k2For the Performance Coefficient of the corresponding active power of the equipment and reactive power.
S407. it for regional distribution network, nets interior N and covers equipment Life Cycle Cost-efficiency ratio:
Compared with prior art, the beneficial effect of technical solution of the present invention is:
The invention proposes the distribution maintenance plan models minimum based on cost-effectiveness ratio (CER), by model solution, screening
The equipment for needing to overhaul out, and best maintenance solution is obtained, determine the information such as maintenance mode, repair time.
Detailed description of the invention
Fig. 1 is the maintenance plan Planning procedure figure minimum the present invention is based on cost-effectiveness ratio (CER);
Fig. 2 is distribution net equipment risk assessment flow chart of the present invention;
Fig. 3 is present device Life Cycle Cost composition figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, only for illustration, Bu Nengli
Solution is the limitation to this patent.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative labor
Every other embodiment obtained under the premise of dynamic, shall fall within the protection scope of the present invention.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1, as shown in Figures 1 to 3, the present invention provide a kind of consideration area equipment Life Cycle Cost-efficiency ratio
Distribution Maintenance Schedule Optimization method, comprising the following steps:
S1. input equipment initial data provides assessment information;
S2. Risk Identification and risk assessment are carried out to i-th set of equipment, the initial value of i is 1, if desired overhauls, is then walked
Rapid S3;
S3. the top overhaul scheme of i-th set of equipment is provided;
S4. the cost-effectiveness ratio (CER) V (all) of i set equipment, enables if cost-effectiveness ratio (CER) V (all) is met the requirements before calculating
Then i=i+1 executes step S2, the top overhaul scheme for otherwise modifying i-th set of equipment returns to step S3;
S5. after having contemplated that all devices, terminate.
As further preferred embodiment, match in discussed above area equipment Life Cycle Cost-efficiency ratio
In net Maintenance Schedule Optimization method, as shown in Fig. 2, the step S2 is as follows:
S201. Risk Identification, acquisition equipment operating data and Equipment Foundations data carry out finishing analysis and obtain the shape of equipment
The probability of malfunction of state information and equipment;Operation data includes online monitoring data, and basic data includes exfactory inspection data, installation
Tune-up data, office of defect city of family, running environment data, history overhaul data;
S202. risk assessment abandons water situation analysis failure effect according to grid operation mode, user power utilization situation, abandonment,
It carries out quantitative analysis and assesses risk of loss;
S203. risk control selects control measure according to the result of risk assessment, it is determined whether overhauled.
Preferably, as shown in figure 3, the equipment Life Cycle Cost includes first Meteorological, operation and maintenance expense
With, interruption cost and scrap recovery cost.
As further preferred embodiment, match in discussed above area equipment Life Cycle Cost-efficiency ratio
In net Maintenance Schedule Optimization method, it includes following step that the cost-effectiveness ratio (CER) V (all) of the equipment of the step S4, which is specifically calculated,
It is rapid:
S401. operation and maintenance cost is calculated: Lo=MTTFLo_ave, Lo_aveIndicate generic controller switching equipment in unit
Interior average operation and maintenance cost, can obtain according to historical data analysis;
S402. interruption cost is calculated: Lf=Lequ+Lgrid
Wherein LequIt is lost for asset of equipments:
In formula, K be equipment fault after need resetting component set, MkFor the cost of component k;LrepOverhaul of the equipments after power failure
The expenses summations such as required artificial, machinery, material.
Wherein LgridFor grid loss:
In formula, KpFor unit electricity price, N is the set of power supply interrupted district user,t0For the service life of equipment, pn(t) for user n's
Load prediction curve;KsIt is averaged rate for incorporation into the power network for distributed generation resource, M is the set of power supply interrupted district user, pm(t) going out for power supply m
Power prediction curve;
S403. the risk of loss amount of equipment life cycle management interruption cost is calculated:
The reliability of distribution net equipment refers to that equipment maintains reliability service, trouble-proof probability under particular circumstances.
If time of the equipment from putting into operation first-time fault is the time of the no-failure operation of equipment, it is expressed as T, then is set in certain a period of time
Standby reliability is represented by R (t);
S404. due to the first Meteorological L of equipmentiAnd scrap recovery cost LrIt is not associated with maintenance plan establishment,
The above-mentioned expense of fixed equipment is considered as permanent number in this paper research process.
S405. distribution net equipment Life Cycle Cost: L is calculatedCC=Li+Lo+Lf'+Lr
S406. the efficiency that equipment life cycle management is created is calculated:
In formula, n indicates distribution net equipment number, and p (t), q (t) are respectively the active power of the t moment equipment, idle function entirely
Rate;k1、k2For the Performance Coefficient of the corresponding active power of the equipment and reactive power.
S407. it for regional distribution network, nets interior N and covers equipment Life Cycle Cost-efficiency ratio:
Embodiment 2, the present embodiment is based on a kind of consideration area equipment Life Cycle Cost-efficiency ratio distribution maintenance
Optimization method is drawn to complete auxiliary based on the maximized distribution maintenance decision of equipment life cycle management efficiency by PHP Programming with Pascal Language
The exploitation of service system is helped, and is applied to WINDOWS XP/2000/2003 client, export format is Microsoft
Excel。
This system is used as operating system using Windows Server 2003, selects Oracle as data base administration system
System selects PHP as programming language.
It can maintenance plan establishment based on the maximized distribution maintenance decision ancillary service systems of equipment life cycle management efficiency
The there is provided facility information of personnel, in-service monitoring data, risk evaluation result and maintenance decision suggestion.Its function includes following
Part:
1) grid equipment data import;
2) equipment on-line monitoring information inquiry;
3) selection optimization aim and setting Optimal Parameters;
4) network topology is inputted, constraint condition and electric network swim verification mode are set;
5) risk assessment, the necessity of analytical equipment maintenance are carried out to equipment based on risk management theory one by one;
6) maintenance plan is optimized using improvement particle swarm algorithm, and shows the optimal case expense-of each iteration
Efficiency ratio;
7) Maintenance Schedule Optimization result is checked, is exported.
B/S framework is used based on the maximized distribution maintenance decision ancillary service systems exploitation of equipment life cycle management efficiency
(Browser/Server, Browser/Server Mode) carries out data interaction, maintenance establishment people by HTTP transport protocol
Member can log in the work station browsing use for being mounted on working region.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.