CN107886174A - A kind of maintenance for generation companies arrangement method and device - Google Patents
A kind of maintenance for generation companies arrangement method and device Download PDFInfo
- Publication number
- CN107886174A CN107886174A CN201711125788.9A CN201711125788A CN107886174A CN 107886174 A CN107886174 A CN 107886174A CN 201711125788 A CN201711125788 A CN 201711125788A CN 107886174 A CN107886174 A CN 107886174A
- Authority
- CN
- China
- Prior art keywords
- maintenance
- generating set
- section
- wish
- load
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Mathematical Physics (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Public Health (AREA)
- Mathematical Optimization (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Algebra (AREA)
- Computational Mathematics (AREA)
- Primary Health Care (AREA)
- Mathematical Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Pure & Applied Mathematics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention, which provides a kind of maintenance for generation companies arrangement method and device, this method, to be included：Obtain the maintenance related data of at least one generating set；According to related data is overhauled, the virtual overhaul cost curve of generating set is determined；According to maintenance related data and virtual overhaul cost curve, by building the maintenance for generation companies Optimized model based on linear programming, the maintenance wish value of maintenance generating set is calculated；According to maintenance wish value, service arrangement is carried out to maintenance generating set according to order from big to small.The present invention combines the actual conditions of electric system generator group maintenance, the features such as adaptable strong, optimization efficiency is high, the speed of service is fast, such processing mode substantially envisages linear programming method and calculates characteristic simple, that arithmetic speed is fast, helps to lift maintenance for generation companies optimization efficiency.
Description
Technical field
The present invention relates to maintenance for generation companies technical field, and in particular to a kind of maintenance for generation companies arrangement method and dress
Put.
Background technology
The production of electric energy carries out this feature simultaneously with consumption, power industry is had very high requirement to its reliability,
And the maintenance of the maintenance of power system device, especially generating set, it is closely related with the reliability of power system power supply.Cause
This, science, the repair schedule of arranged rational generating set are to improve the importance of Power System Security And Reliability, while with
The installation for power system is on the increase, and research is carried out with more to the optimization problem of GENERATOR MAINTENANCE SCHEDULING IN in electricity generation system
Carry out more important realistic meaning.
At present, the method for solving of unit maintenance scheduling problem mainly has simple heuristic and mathematical method, wherein mathematics side
What method was studied more in maintenance issue is integer programming method.Due to the complexity of maintenance issue, asked for larger
Topic is often less efficient or even infeasible when use integer programming method, and it does not fully take into account some phases for influenceing to overhaul
Pass factor, applicability is not strong, so as to influence to overhaul effect.
The content of the invention
The present invention provides a kind of maintenance for generation companies arrangement method and device, to solve in the prior art larger
The problem of maintenance issue is existing less efficient, applicability is not strong when arranging.
In a first aspect, the embodiment of the present invention provides a kind of maintenance for generation companies arrangement method, including：
The maintenance related data of at least one generating set is obtained, the generating set includes non-maintenance generating set and inspection
Trim the hair group of motors, and the maintenance related data comprises at least the maintenance priority of the maintenance generating set, maintenance wish section
With non-maintenance wish section；
According to the maintenance related data, the virtual overhaul cost curve of the generating set is determined；
According to the maintenance related data and the virtual overhaul cost curve, by building the generating based on linear programming
Unit maintenance Optimized model, calculate the maintenance wish value of the maintenance generating set；
According to the maintenance wish value, service arrangement is carried out to the maintenance generating set according to order from big to small.
It is described according to the maintenance related data as the preferred embodiment of first aspect present invention, determine the generator
The virtual overhaul cost curve of group includes：
The straight line that will be formed according to the cost of the non-maintenance generating set, is defined as the corresponding non-maintenance generating set
Virtual overhaul cost curve；
By according to the cost for overhauling generating set in the maintenance wish section and in the non-maintenance wish area
The curve that interior cost is formed, it is defined as the virtual overhaul cost curve of the corresponding maintenance generating set；
Wherein, according to the order of the maintenance priority, the latter maintenance generating set is in the maintenance wish section
The maximum of interior cost is less than the minimum value of cost of the previous maintenance generating set in the maintenance wish section.
As the preferred embodiment of first aspect present invention, maintenance for generation companies optimization mould of the structure based on linear programming
Type includes：
The object function and constraints of the maintenance for generation companies Optimized model are built successively, wherein the object function
For calculating the maintenance wish value, the constraints includes generating set output bound constraints, maintenance generator
Group repair time constraints, account load balancing constraints condition, maintenance generating set the units limits condition in maintenance wish section
And slack variable.
It is described according to the maintenance wish value as the preferred embodiment of first aspect present invention, it is suitable according to from big to small
Generating set progress service arrangement is overhauled described in ordered pair to be included：
According to the maintenance wish value, the maintenance generating set is ranked up according to order from big to small；
The minimum section of load is searched on load curve, determines that the minimum section of the load for maintenance section, will arrange
Overhauled in the service arrangement of the maintenance generating set of first place described in section, wherein the maintenance section is included in described
Overhaul in wish section；
By incremental assignment of the maintenance generating set in the maintenance section on the load curve, formed new
Circulation carries out the service arrangement of next maintenance generating set successively again after load curve.
It is described that the minimum section of load is searched on the load curve as the preferred embodiment of first aspect present invention,
Determine that the minimum section of the load includes for maintenance section：
Corresponded on the load curve and search continuous N D on the corresponding section in the maintenance wish sectioniWeek load it
With the section of minimum, and judge to whether there is in the minimum section of the load sum beyond the situation for overhauling resource constraint, its
Middle MDiThe all numbers of maintenance are declared for the maintenance generating set；
If not, it is determined that the minimum section of the load sum is the maintenance section；Otherwise, the load sum is rejected
Minimum section, continue to search continuous N D on the corresponding sectioniThe minimum section of all load sums.
Second aspect, the embodiment of the present invention provide a kind of maintenance for generation companies arrangement, including：
Data capture unit, for obtaining the maintenance related data of at least one generating set, the generating set includes
Non- maintenance generating set and maintenance generating set, the maintenance that the maintenance related data comprises at least the maintenance generating set are excellent
First level, maintenance wish section and non-maintenance wish section；
Curve determining unit, for according to the maintenance related data, determining the virtual overhaul cost of the generating set
Curve；
Wish computing unit, for according to the maintenance related data and the virtual overhaul cost curve, passing through structure
Maintenance for generation companies Optimized model based on linear programming, calculate the maintenance wish value of the maintenance generating set；
Service arrangement unit, for according to the maintenance wish value, being generated electricity according to order from big to small to the maintenance
Unit carries out service arrangement.
As the preferred embodiment of second aspect of the present invention, the curve determining unit is specifically used for：
The straight line that will be formed according to the cost of the non-maintenance generating set, is defined as the corresponding non-maintenance generating set
Virtual overhaul cost curve；
By according to the cost for overhauling generating set in the maintenance wish section and in the non-maintenance wish area
The curve that interior cost is formed, it is defined as the virtual overhaul cost curve of the corresponding maintenance generating set；
Wherein, according to the order of the maintenance priority, the latter maintenance generating set is in the maintenance wish section
The maximum of interior cost is less than the minimum value of cost of the previous maintenance generating set in the maintenance wish section.
As the preferred embodiment of second aspect of the present invention, the wish computing unit is specifically used for：
The object function and constraints of the maintenance for generation companies Optimized model are built successively, wherein the object function
For calculating the maintenance wish value, the constraints includes generating set output bound constraints, maintenance generator
Group repair time constraints, account load balancing constraints condition, maintenance generating set the units limits condition in maintenance wish section
And slack variable.
As the preferred embodiment of second aspect of the present invention, the service arrangement unit is specifically used for：
According to the maintenance wish value, the maintenance generating set is ranked up according to order from big to small；
The minimum section of load is searched on load curve, determines that the minimum section of the load for maintenance section, will arrange
Overhauled in the service arrangement of the maintenance generating set of first place described in section, wherein the maintenance section is included in described
Overhaul in wish section；
By incremental assignment of the maintenance generating set in the maintenance section on the load curve, formed new
Circulation carries out the service arrangement of next maintenance generating set successively again after load curve.
As the preferred embodiment of second aspect of the present invention, the service arrangement unit also particularly useful for：
Corresponded on the load curve and search continuous N D on the corresponding section in the maintenance wish sectioniWeek load it
With the section of minimum, and judge to whether there is in the minimum section of the load sum beyond the situation for overhauling resource constraint, its
Middle MDiThe all numbers of maintenance are declared for the maintenance generating set；
If not, it is determined that the minimum section of the load sum is the maintenance section；Otherwise, the load sum is rejected
Minimum section, continue to search continuous N D on the corresponding sectioniThe minimum section of all load sums.
A kind of maintenance for generation companies arrangement method and device provided by the invention, by introducing virtual overhaul cost curve simultaneously
The maintenance for generation companies Optimized model based on linear programming is built, realizes the quantitative expression to maintenance for generation companies wish, so
Realize the service arrangement for the generating set for needing to overhaul on this basis afterwards.The present invention combines the maintenance of electric system generator group
Actual conditions, it is adaptable strong, optimization efficiency is high, the speed of service is fast the features such as, such processing mode substantially envisages
Linear programming method calculates characteristic simple, that arithmetic speed is fast, helps to lift maintenance for generation companies optimization efficiency, has important
Realistic meaning and good application prospect.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, make required in being described below to embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for
For those of ordinary skill in the art, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings
Accompanying drawing.
Fig. 1 is a kind of schematic flow sheet of maintenance for generation companies arrangement method provided in an embodiment of the present invention；
Fig. 2 is the schematic diagram of the virtual overhaul cost curve of the non-maintenance generating set of correspondence provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram of the corresponding virtual overhaul cost curve for overhauling generating set provided in an embodiment of the present invention；
Fig. 4 is showing for the virtual overhaul cost curve provided in an embodiment of the present invention for including two corresponding maintenance generating sets
It is intended to；
Fig. 5 is a kind of another schematic flow sheet of maintenance for generation companies arrangement method provided in an embodiment of the present invention；
Fig. 6 is a kind of structural representation of maintenance for generation companies arrangement provided in an embodiment of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of creative work is not made, it should all belong to the model that the present invention protects
Enclose.
Shown in reference picture 1, the embodiment of the invention discloses a kind of maintenance for generation companies arrangement method, this method includes following
Step：
101st, the maintenance related data of at least one generating set is obtained.
In the present embodiment, the maintenance that generating set includes the non-maintenance generating set that need not be overhauled and needs to overhaul generates electricity
Unit.
The maintenance related data of acquisition is referred to for building the data needed for GENERATOR MAINTENANCE SCHEDULING IN, not only includes inspection
Maintenance priority, maintenance wish section and the non-maintenance wish section for the group of motors that trims the hair, in addition to generating set total quantity, maintenance
The cost and output upper lower limit value of generating set quantity, non-maintenance generating set, the maintenance priority of the maintenance generating set,
Overhaul wish section, non-maintenance wish section, the cost in maintenance wish section, the cost in non-maintenance wish section,
Repair time and output upper lower limit value, and load prediction information including load curve etc..
102nd, according to related data is overhauled, the virtual overhaul cost curve of generating set is determined.
Whether generating set overhauls the cost for directly affecting generating set, cost of the generating set in maintenance and non-
Cost during maintenance is different, and the virtual overhaul cost curve of formation is also different, it is therefore desirable to is determined respectively corresponding non-
Overhaul generating set and overhaul the virtual overhaul cost curve of generating set.
The characteristics of the present embodiment combination generating set, the virtual overhaul cost curve of generating set is divided into corresponding non-inspection
Two kinds of the virtual overhaul cost curve of the virtual overhaul cost curve for the group of motors that trims the hair and corresponding maintenance generating set.
Preferably, in a kind of possible implementation, step 102 can follow the steps below：
1021st, the straight line that will be formed according to the cost of non-maintenance generating set, it is defined as corresponding non-maintenance generating set
Virtual overhaul cost curve.
For non-maintenance generating set, because it need not be overhauled, it is only necessary to consider cost during its operation,
Without considering cost during its maintenance.Therefore, according to the virtual overhaul cost curve of single non-maintenance generating set
The straight line that the cost of non-maintenance generating set is formed, referring in particular to shown in Fig. 2.
1022nd, by according to cost of the maintenance generating set in maintenance wish section and in non-maintenance wish section into
The curve of this formation, it is defined as the virtual overhaul cost curve of corresponding maintenance generating set.
Cost when overhauling for generating set, it is necessary to consider that it is overhauling maintenance in wish section simultaneously and
Cost during operation in non-maintenance wish section.Single maintenance generating set, its cost in maintenance wish section are remote
More than the cost in non-maintenance wish section, cost when it still only considers operation in non-maintenance wish section.Moreover, its
Cost in maintenance wish section obtains maximum at system reserve maximum time, and according to certain slope toward both sides successively
Reduce.
Therefore, the virtual overhaul cost curve of single maintenance generating set, according in maintenance wish section into
The curve that this and the cost in non-maintenance wish section are formed, the i.e. curve in maintenance wish section and in non-maintenance wish
Straight line in section be combined after curve, referring in particular to shown in Fig. 3.
Preferably, the cost in wish section is being overhauled according to the order of maintenance priority, latter maintenance generating set
Maximum is less than minimum value of the previous maintenance generating set in the cost in maintenance wish section.Referring in particular to shown in Fig. 4
103rd, according to maintenance related data and virtual overhaul cost curve, by building the generating set based on linear programming
Optimized maintenance model, calculate the maintenance wish value of maintenance generating set.
Preferably, when building the maintenance for generation companies Optimized model based on linear programming, maintenance for generation companies is built successively
The object function and constraints of Optimized model, wherein object function are used to calculate the maintenance wish value, and constraints includes
Generating set output bound constraints, maintenance maintenance for generation companies time constraint condition, maintenance generating set are anticipated in maintenance
It is willing to units limits condition, account load balancing constraints condition and slack variable in section.
In a kind of possible implementation, the detailed process for building model is as follows：
Symbolism explanation：
cit：Cost of i-th of generating set in section t；
Cit：Power factor of i-th of generating set in section t so that three dimensions are identical in object function；
N：Generating set total quantity；
Nm：Overhaul generating set quantity；
T：Section total quantity；
Pit：Power generating value of i-th of generating set in section t；
Pimax：The output upper limit of i-th of generating set；
MDi：Repair time needed for i-th of maintenance generating set；
τi：The maintenance wish section of i-th of maintenance generating set；
maint：Overhaul generating set set；
Dt：Load maximum in one week (maintenance of general generating set is all in units of week)；
di：The repair time constraint slack variable of i-th of maintenance generating set, for representing that its repair time and its overhaul
The degree that wish deviates.(1) object function for building maintenance for generation companies Optimized model is as follows：
Wherein：M1＞ ＞ M2＞ ＞ Cit, M1And M2The repair time constraint bias of the generating set of maintenance hair is represented respectively
Coefficient and generating set output bias coefficient, so that the value of different dimensions can be optimized simultaneously.
(2) constraints of maintenance for generation companies Optimized model, generating set output bound constraints, maintenance are built
Maintenance for generation companies time constraint condition, account load balancing constraints condition, maintenance generating set are contributed about in maintenance wish section
Beam condition and slack variable, are respectively described below：
(2-1) generating set output bound constraints：
0≤Pit≤Pimax；
(2-2) overhauls unit repair time constraints：
(2-3) account load balancing constraints condition：
(2-4) overhauls unit units limits condition in maintenance wish section：
Pit+cit=Pimax, i ∈ maint, t ∈ τi；
(2-5) slack variable：
di>=0, cit≥0。
Wherein, account load balancing constraints condition is to ensure in any section, it is not necessary to the non-maintenance generator of maintenance
Group disclosure satisfy that the workload demand of system；In maintenance unit repair time constraints and maintenance unit in maintenance wish section
Non-negative slack variable is introduced in units limits condition, and penalty term is introduced in object function, and ensures M1＞ ＞ M2＞
＞ Cit, this two constraintss make the maintenance generating set that needs overhaul be overhauled at it in wish section, without during maintenance then
Reach the output upper limit as far as possible, it is as far as possible 0 that then it, which is contributed, when being overhauled, and this two constraintss ensure that together to be needed to examine
The maintenance generating set repaiied overhauls at it meets the constraint for overhauling unit repair time constraints in wish section.
104th, according to maintenance wish value, service arrangement is carried out to generating set according to order from big to small.
In above-mentioned steps, by the maintenance for generation companies Optimized model based on linear programming of structure, maintenance hair can be obtained
The maintenance wish value of group of motors, the quantitative expression of maintenance maintenance for generation companies wish is realized, consequently facilitating entering to generating set
Row service arrangement.
Preferably, in a kind of possible implementation, step 104 can be carried out in accordance with the following steps：
1041st, according to maintenance wish value, maintenance generating set is ranked up according to order from big to small.
According to obtained maintenance wish value, maintenance generating set is ranked up according to order from big to small, that is, overhauled
The big maintenance generating set of wish can preferentially carry out service arrangement.
It should be noted that when the maintenance wish of multiple maintenance generating sets is identical, by the big maintenance generator of capacity
Before group comes.
1042nd, the minimum section of load is searched on load curve, determines that the minimum section of load for maintenance section, will arrange
Overhauled in the service arrangement of the maintenance generating set of first place in section, wherein maintenance section is included in maintenance wish section.
Specifically, in a kind of possible implementation, it is determined that the step of maintenance section can be carried out in accordance with the following steps：
S1, search continuous N D on the corresponding section in corresponding maintenance section on load curveiThe load sum minimum in week
Section, and judge to whether there is the situation beyond maintenance resource constraint, wherein MD in the minimum section of load sumiSent out for maintenance
Group of motors declares all numbers of maintenance；
S2, if not, it is determined that the minimum section of load sum is maintenance section；Otherwise, the minimum area of load sum is rejected
Between, continue to search continuous N D on corresponding sectioniThe minimum section of all load sums.
In step sl, if the maintenance wish section of a certain maintenance generating set is ei~li, overhauling lasting all numbers is
MDi, then the e on load curvei~liContinuous N D is found on sectioniThe minimum section of all load sums, search out the section with
Need to examine the situation that in the section whether there is and exceed maintenance resource constraint afterwards.
In step s 2, if in the absence of the situation more than maintenance resource constraint, it is determined that the section is to overhaul section；If
There is a situation where to have exceeded the maintenance energy of system more than maintenance resource constraint, such as the maintenance generating set overhauled simultaneously
Power, then these sections are rejected, continually look for continuous N DiThe minimum section of all load sums, it is no more than maintenance money until finding
Untill the continuum of source constraint.
If it should be noted that suitable maintenance area is can not find in the maintenance wish section of a certain maintenance generating set
Between, then do not arrange the maintenance of the maintenance generating set first temporarily, continue to arrange next maintenance generating set.
1043rd, incremental assignment of the generating set in maintenance section will be overhauled on load curve, it is bent to form new load
Circulation carries out the service arrangement of next maintenance generating set successively again after line.
The maintenance generating set after maintenance has been arranged load curve pair is correspondingly carried in the capacity overhauled in section
On the section answered, after forming new load curve, the service arrangement of next maintenance generating set is carried out.
Circulation proceeds as described above, until having arranged all maintenance generating sets.
A kind of maintenance for generation companies arrangement method provided by the invention, by introducing virtual overhaul cost curve and building base
In the maintenance for generation companies Optimized model of linear programming, the quantitative expression to maintenance for generation companies wish is realized, then herein
On the basis of realize the service arrangement of generating set for needing to overhaul.
The present invention combines the actual conditions of electric system generator group maintenance, adaptable strong, optimization efficiency height, operation
The features such as speed is fast, such processing mode substantially envisage linear programming method and calculate characteristic simple, that arithmetic speed is fast,
Help to lift maintenance for generation companies optimization efficiency, have important practical significance and good application prospect.
Shown in reference picture 5, the embodiment of the present invention also provides a kind of maintenance for generation companies arrangement method, including：
501st, the maintenance related data of at least one generating set is obtained, generating set includes non-maintenance generating set and inspection
Trim the hair group of motors；
502nd, according to maintenance related data, corresponding non-maintenance generating set is determined respectively and overhauls the virtual inspection of generating set
Repair cost curve；
503rd, the maintenance for generation companies Optimized model based on linear programming is built, calculates the maintenance wish of maintenance generating set
Value；
504th, according to maintenance wish value, maintenance generating set is ranked up according to order from big to small；
505th, for each maintenance generating set, looked into successively on load curve on the corresponding section in corresponding maintenance wish section
Look for continuous N DiThe minimum section of the load sum in week；
506th, judge to whether there is the situation beyond maintenance resource constraint in the minimum section of the load sum found；
507th, if it is not, then by the service arrangement of the maintenance generating set in the minimum section of the load sum；If so, then
The minimum section of the load sum is rejected, continues executing with step 505；
508th, judge whether to have arranged all maintenance generating sets；
509th, if so, then terminating scheduling processes；If it is not, then continue executing with step 505.
Shown in reference picture 6, the embodiment of the present invention provides a kind of maintenance for generation companies arrangement, and the device includes：
Data capture unit 61, for obtaining the maintenance related data of at least one generating set, generating set includes non-
Generating set and maintenance generating set are overhauled, maintenance related data comprises at least the maintenance priority of maintenance generating set, maintenance
Wish section and non-maintenance wish section；
Curve determining unit 62, for according to related data is overhauled, determining the virtual overhaul cost curve of generating set；
Wish computing unit 63, for according to maintenance related data and virtual overhaul cost curve, line to be based on by structure
Property planning maintenance for generation companies Optimized model, calculate maintenance generating set maintenance wish value；
Service arrangement unit 64, for according to maintenance wish value, entering according to order from big to small to maintenance generating set
Row service arrangement.
Further, curve determining unit 62 is specifically used for：
The straight line that will be formed according to the cost of non-maintenance generating set, it is defined as the virtual inspection of corresponding non-maintenance generating set
Repair cost curve；
By according to cost of the maintenance generating set in maintenance wish section and the cost shape in non-maintenance wish section
Into curve, be defined as to overhaul generating set virtual overhaul cost curve；
Wherein, according to the order of maintenance priority, cost of the latter maintenance generating set in maintenance wish section is most
Big value is less than the minimum value of cost of the previous maintenance generating set in maintenance wish section.
Further, wish computing unit 63 is specifically used for：
The object function and constraints of maintenance for generation companies Optimized model are built successively, and wherein object function is used to calculate
Wish value is overhauled, constraints includes generating set output bound constraints, maintenance maintenance for generation companies time-constrain bar
Part, account load balancing constraints condition, maintenance generating set units limits condition and slack variable in maintenance wish section.
Further, service arrangement unit 64 is specifically used for：
According to maintenance wish value, maintenance generating set is ranked up according to order from big to small；
The minimum section of load is searched on load curve, determines that the minimum section of load for maintenance section, will come head
The service arrangement of the maintenance generating set of position is in maintenance section, wherein maintenance section is included in maintenance wish section；
Incremental assignment of the generating set in maintenance section will be overhauled on load curve, formed after new load curve again
Circulation carries out the service arrangement of next maintenance generating set successively.
Further, service arrangement unit 64 also particularly useful for：
On load curve continuous N D is searched on the corresponding section in corresponding maintenance wish sectioniThe load sum minimum in week
Section, and judge to whether there is the situation beyond maintenance resource constraint, wherein MD in the minimum section of load sumiSent out for maintenance
Group of motors declares all numbers of maintenance；
If not, it is determined that the minimum section of load sum is maintenance section；Otherwise, the minimum section of load sum is rejected,
Continue to search continuous N D on corresponding sectioniThe minimum section of all load sums.
It should be noted that the inventive concept of device part is identical with embodiment of the method, its embodiment and
Beneficial effect will not be repeated here.
In the above embodiment of the present invention, the description to each embodiment all emphasizes particularly on different fields, and does not have in some embodiment
The part of detailed description, it may refer to the associated description of other embodiment.
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent substitution and improvements made etc., it should be included in the scope of the protection.
Claims (10)
- A kind of 1. maintenance for generation companies arrangement method, it is characterised in that including：The maintenance related data of at least one generating set is obtained, the generating set includes non-maintenance generating set and maintenance is sent out Group of motors, the maintenance related data comprise at least the maintenance priority of the maintenance generating set, maintenance wish section and non- Overhaul wish section；According to the maintenance related data, the virtual overhaul cost curve of the generating set is determined；According to the maintenance related data and the virtual overhaul cost curve, by building the generating set based on linear programming Optimized maintenance model, calculate the maintenance wish value of the maintenance generating set；According to the maintenance wish value, service arrangement is carried out to the maintenance generating set according to order from big to small.
- 2. according to the method for claim 1, it is characterised in that it is described according to the maintenance related data, determine the hair The virtual overhaul cost curve of group of motors includes：The straight line that will be formed according to the cost of the non-maintenance generating set, it is defined as the void of the corresponding non-maintenance generating set Intend cost of overhaul curve；By according to the cost for overhauling generating set in the maintenance wish section and in the non-maintenance wish section The curve that is formed of cost, be defined as the virtual overhaul cost curve of the corresponding maintenance generating set；Wherein, according to the order of the maintenance priority, the latter maintenance generating set is in the maintenance wish section The maximum of cost is less than the minimum value of cost of the previous maintenance generating set in the maintenance wish section.
- 3. according to the method for claim 1, it is characterised in that the maintenance for generation companies of the structure based on linear programming is excellent Changing model includes：The object function and constraints of the maintenance for generation companies Optimized model are built successively, wherein the object function is used for The maintenance wish value is calculated, the constraints includes generating set output bound constraints, maintenance generating set inspection Repair time constraint condition, account load balancing constraints condition, maintenance generating set units limits condition and pine in maintenance wish section Relaxation variable.
- 4. according to the method for claim 1, it is characterised in that it is described according to the maintenance wish value, according to from big to small Order to it is described maintenance generating set carry out service arrangement include：According to the maintenance wish value, the maintenance generating set is ranked up according to order from big to small；The minimum section of load is searched on load curve, determines that the minimum section of the load for maintenance section, will come head The service arrangement of the maintenance generating set of position is in the maintenance section, wherein the maintenance section is included in the maintenance In wish section；By incremental assignment of the maintenance generating set in the maintenance section on the load curve, new load is formed Circulation carries out the service arrangement of next maintenance generating set successively again after curve.
- 5. according to the method for claim 4, it is characterised in that described that the minimum area of load is searched on the load curve Between, determine that the minimum section of the load includes for maintenance section：Corresponded on the load curve and search continuous N D on the corresponding section in the maintenance wish sectioniThe load sum in week is most Small section, and judge to whether there is the situation beyond maintenance resource constraint, wherein MD in the minimum section of the load sumi The all numbers of maintenance are declared for the maintenance generating set；If not, it is determined that the minimum section of the load sum is the maintenance section；Otherwise, it is minimum to reject the load sum Section, continue to search continuous N D on the corresponding sectioniThe minimum section of all load sums.
- A kind of 6. maintenance for generation companies arrangement, it is characterised in that including：Data capture unit, for obtaining the maintenance related data of at least one generating set, the generating set includes non-inspection The group of motors that trims the hair and maintenance generating set, the maintenance that the maintenance related data comprises at least the maintenance generating set are preferential Level, maintenance wish section and non-maintenance wish section；Curve determining unit, for according to the maintenance related data, determining the virtual overhaul cost curve of the generating set；Wish computing unit, for according to the maintenance related data and the virtual overhaul cost curve, being based on by structure The maintenance for generation companies Optimized model of linear programming, calculate the maintenance wish value of the maintenance generating set；Service arrangement unit, for overhauling wish value according to described, according to order from big to small to the maintenance generating set Carry out service arrangement.
- 7. device according to claim 6, it is characterised in that the curve determining unit is specifically used for：The straight line that will be formed according to the cost of the non-maintenance generating set, it is defined as the void of the corresponding non-maintenance generating set Intend cost of overhaul curve；By according to the cost for overhauling generating set in the maintenance wish section and in the non-maintenance wish section The curve that is formed of cost, be defined as the virtual overhaul cost curve of the corresponding maintenance generating set；Wherein, according to the order of the maintenance priority, the latter maintenance generating set is in the maintenance wish section The maximum of cost is less than the minimum value of cost of the previous maintenance generating set in the maintenance wish section.
- 8. device according to claim 6, it is characterised in that the wish computing unit is specifically used for：The object function and constraints of the maintenance for generation companies Optimized model are built successively, wherein the object function is used for The maintenance wish value is calculated, the constraints includes generating set output bound constraints, maintenance generating set inspection Repair time constraint condition, account load balancing constraints condition, maintenance generating set units limits condition and pine in maintenance wish section Relaxation variable.
- 9. device according to claim 6, it is characterised in that the service arrangement unit is specifically used for：According to the maintenance wish value, the maintenance generating set is ranked up according to order from big to small；The minimum section of load is searched on load curve, determines that the minimum section of the load for maintenance section, will come head The service arrangement of the maintenance generating set of position is in the maintenance section, wherein the maintenance section is included in the maintenance In wish section；By incremental assignment of the maintenance generating set in the maintenance section on the load curve, new load is formed Circulation carries out the service arrangement of next maintenance generating set successively again after curve.
- 10. device according to claim 9, it is characterised in that the service arrangement unit also particularly useful for：Corresponded on the load curve and search continuous N D on the corresponding section in the maintenance wish sectioniThe load sum in week is most Small section, and judge to whether there is the situation beyond maintenance resource constraint, wherein MD in the minimum section of the load sumi The all numbers of maintenance are declared for the maintenance generating set；If not, it is determined that the minimum section of the load sum is the maintenance section；Otherwise, it is minimum to reject the load sum Section, continue to search continuous N D on the corresponding sectioniThe minimum section of all load sums.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711125788.9A CN107886174B (en) | 2017-11-14 | 2017-11-14 | Generator set maintenance arrangement method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711125788.9A CN107886174B (en) | 2017-11-14 | 2017-11-14 | Generator set maintenance arrangement method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107886174A true CN107886174A (en) | 2018-04-06 |
| CN107886174B CN107886174B (en) | 2021-12-21 |
Family
ID=61776706
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711125788.9A Active CN107886174B (en) | 2017-11-14 | 2017-11-14 | Generator set maintenance arrangement method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107886174B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109063859A (en) * | 2018-09-11 | 2018-12-21 | 深圳供电局有限公司 | Grid equipment optimized maintenance processing method and device |
| CN117273413A (en) * | 2023-11-23 | 2023-12-22 | 中国电建集团贵阳勘测设计研究院有限公司 | Overhauling and arranging method for water-wind-solar-storage-base-regulated power supply unit |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020120412A1 (en) * | 2001-02-27 | 2002-08-29 | Yoshiharu Hayashi | Operation and maintenance planning aiding system for power generation installation |
| US20070203779A1 (en) * | 2000-12-29 | 2007-08-30 | Tveit Tor A | System and method to provide maintenance for an electrical power generation, transmission and distribution system |
| CN102684224A (en) * | 2012-05-25 | 2012-09-19 | 浙江大学 | Unit combination method for resolving and considering wind power volatility |
| CN103413182A (en) * | 2013-07-24 | 2013-11-27 | 清华大学 | Monthly electricity generation and transmission integrated maintenance optimization method based on induced function |
| CN104077651A (en) * | 2014-06-12 | 2014-10-01 | 国家电网公司 | Power grid maintenance plan optimization method |
| CN104217255A (en) * | 2014-09-02 | 2014-12-17 | 浙江大学 | Electrical power system multi-target overhaul optimization method under market environment |
| CN104376412A (en) * | 2014-11-11 | 2015-02-25 | 国家电网公司 | High energy-consuming enterprise peak regulation control method used in new energy power generation mode |
| CN104392282A (en) * | 2014-11-24 | 2015-03-04 | 国家电网公司 | Generator unit maintenance schedule minimum lost load expecting method considering large-scale wind power integration |
| CN105976071A (en) * | 2016-05-30 | 2016-09-28 | 华南理工大学 | Wind turbine generator system inspection decision method based on dominance-based rough set |
| CN106339777A (en) * | 2016-09-19 | 2017-01-18 | 广西电网有限责任公司 | Minimum loss load expectation model calculating method of generator set maintenance plan optimization |
-
2017
- 2017-11-14 CN CN201711125788.9A patent/CN107886174B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070203779A1 (en) * | 2000-12-29 | 2007-08-30 | Tveit Tor A | System and method to provide maintenance for an electrical power generation, transmission and distribution system |
| US20020120412A1 (en) * | 2001-02-27 | 2002-08-29 | Yoshiharu Hayashi | Operation and maintenance planning aiding system for power generation installation |
| CN102684224A (en) * | 2012-05-25 | 2012-09-19 | 浙江大学 | Unit combination method for resolving and considering wind power volatility |
| CN103413182A (en) * | 2013-07-24 | 2013-11-27 | 清华大学 | Monthly electricity generation and transmission integrated maintenance optimization method based on induced function |
| CN104077651A (en) * | 2014-06-12 | 2014-10-01 | 国家电网公司 | Power grid maintenance plan optimization method |
| CN104217255A (en) * | 2014-09-02 | 2014-12-17 | 浙江大学 | Electrical power system multi-target overhaul optimization method under market environment |
| CN104376412A (en) * | 2014-11-11 | 2015-02-25 | 国家电网公司 | High energy-consuming enterprise peak regulation control method used in new energy power generation mode |
| CN104392282A (en) * | 2014-11-24 | 2015-03-04 | 国家电网公司 | Generator unit maintenance schedule minimum lost load expecting method considering large-scale wind power integration |
| CN105976071A (en) * | 2016-05-30 | 2016-09-28 | 华南理工大学 | Wind turbine generator system inspection decision method based on dominance-based rough set |
| CN106339777A (en) * | 2016-09-19 | 2017-01-18 | 广西电网有限责任公司 | Minimum loss load expectation model calculating method of generator set maintenance plan optimization |
Non-Patent Citations (1)
| Title |
|---|
| 李秋文等: "水火电机组年度检修计划安排的实用优化模型", 《广东电力》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109063859A (en) * | 2018-09-11 | 2018-12-21 | 深圳供电局有限公司 | Grid equipment optimized maintenance processing method and device |
| CN109063859B (en) * | 2018-09-11 | 2020-12-11 | 深圳供电局有限公司 | Power grid equipment maintenance optimization processing method and device |
| CN117273413A (en) * | 2023-11-23 | 2023-12-22 | 中国电建集团贵阳勘测设计研究院有限公司 | Overhauling and arranging method for water-wind-solar-storage-base-regulated power supply unit |
| CN117273413B (en) * | 2023-11-23 | 2024-02-06 | 中国电建集团贵阳勘测设计研究院有限公司 | Overhauling and arranging method for water-wind-solar-storage-base-regulated power supply unit |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107886174B (en) | 2021-12-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hindi et al. | Dynamic economic dispatch for large scale power systems: a Lagrangian relaxation approach | |
| Maki et al. | System design of a wind turbine using a multi-level optimization approach | |
| CN105226708B (en) | A kind of large scale electric network operation plan equivalence coordination optimizing method | |
| Mantovani et al. | A heuristic method for reactive power planning | |
| CN107103175B (en) | A kind of wind power generating set disorder data recognition method and device | |
| CN106451556A (en) | Method and apparatus for determining capability of receiving distributed power supply by distributed network feeder line | |
| CN108898282A (en) | Data center resource Optimization Scheduling and computer storage medium | |
| CN107681654A (en) | Consider the Multi-Objective Electric Power Network Planning method and apparatus of new energy consumption and environmental benefit | |
| CN105449666A (en) | Multi-state equivalence analysis method and system for microgrid | |
| Simon et al. | Randomized adaptive vehicle decomposition for large-scale power restoration | |
| CN109274116A (en) | A kind of alternating current-direct current mixing micro-capacitance sensor continuous tide calculation method | |
| CN113205273B (en) | Low-carbonization power supply planning method and system considering off-site energy transaction | |
| CN107886174A (en) | A kind of maintenance for generation companies arrangement method and device | |
| CN103413182A (en) | Monthly electricity generation and transmission integrated maintenance optimization method based on induced function | |
| CN106505575A (en) | A kind of Line Flow economic load dispatching method based on Granule Computing | |
| CN105186584A (en) | Two-stage source-load dispatching method and device considering peak regulation and climbing requirements | |
| Wang et al. | Energy-efficient scheduling for flexible job shop under multi-resource constraints using non-dominated sorting teaching-learning-based optimization algorithm | |
| CN109823223A (en) | A kind of energy accumulation capacity configuration and system of electric automobile charging station | |
| CN108448655B (en) | Passive power grid wide-area power generation control method and system | |
| Gong et al. | High-performance computing based fully parallel security-constrained unit commitment with dispatchable transmission network | |
| CN108629445A (en) | The alternating current-direct current mixing microgrid Robust Scheduling method of meter and energy storage dynamic loss | |
| CN108803524A (en) | A kind of industrial equipment control strategy based on Production Scheduling orderly function | |
| CN111064231A (en) | New energy graded interactive consumption method and system | |
| Sun et al. | Interval mixed-integer programming for daily unit commitment and dispatch incorporating wind power | |
| Cao et al. | Data Center Sustainability: Revisits and Outlooks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |