CN113011641B - Electric power system generator set overhaul marketization arrangement method - Google Patents
Electric power system generator set overhaul marketization arrangement method Download PDFInfo
- Publication number
- CN113011641B CN113011641B CN202110251345.4A CN202110251345A CN113011641B CN 113011641 B CN113011641 B CN 113011641B CN 202110251345 A CN202110251345 A CN 202110251345A CN 113011641 B CN113011641 B CN 113011641B
- Authority
- CN
- China
- Prior art keywords
- maintenance
- overhaul
- unit
- period
- capacity
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000012423 maintenance Methods 0.000 claims abstract description 110
- 238000005457 optimization Methods 0.000 claims description 21
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000004519 manufacturing process Methods 0.000 claims description 2
- 230000008439 repair process Effects 0.000 claims description 2
- 238000004088 simulation Methods 0.000 claims description 2
- DSGIVWSDDRDJIO-ZXXMMSQZSA-N Thr-Thr Chemical compound C[C@@H](O)[C@H](N)C(=O)N[C@@H]([C@@H](C)O)C(O)=O DSGIVWSDDRDJIO-ZXXMMSQZSA-N 0.000 claims 11
- 230000008901 benefit Effects 0.000 abstract description 7
- 238000011161 development Methods 0.000 abstract description 5
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000003449 preventive effect Effects 0.000 description 3
- 238000010248 power generation Methods 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 238000013024 troubleshooting Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
- 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
Abstract
A method for marketing arrangement of power system generator set maintenance belongs to the technical field of computers. The method comprises a unit maintenance quotation step, a maintenance market clearing step, a power balance checking step and a maintenance expense settlement step; the invention has the advantages that the problem that the existing maintenance arrangement of the generator set of the power system cannot be suitable for the development of the marketization of the power is solved, the method for the marketization maintenance arrangement of the generator set by utilizing the mixed integer programming model is established, the fairness, fairness and competitiveness of the maintenance arrangement of the generator set can be improved, and the safety margin of the system and the economic benefit of various power manufacturers can be ensured.
Description
Technical Field
The invention belongs to the technical field of computers, and relates to a method for marketing arrangement of maintenance of a generator set of an electric power system.
Background
The maintenance arrangement of the generator set is the basis of the optimization of the combination of the generator set and the optimization of the economic dispatch, and directly influences the operation reliability and the economy of the power system in a plurality of future times. The unit maintenance is reasonably arranged, so that the reliability of the unit and the system can be improved, the service life of the unit is prolonged, and the benefit level of the whole system is maximized. Therefore, genset service scheduling is always an important research topic, both in a regulated environment and in a market environment. However, before and after the market reform, the unit maintenance is uniformly arranged and converted into the arrangement and ISO coordination of the power generation company by the dispatching mechanism, the arrangement target is that only the system operation is considered, the economic benefits of all power generation manufacturers are ensured, and the arrangement mode is greatly changed.
With the development of the society industry and the transformation of the electric power system, the maintenance technology and management mode of the electric power system generator set are also changed significantly. Historically, two phases have been mainly experienced: post-hoc troubleshooting (Corrective maintenance) and preventative troubleshooting (Preventive maintenance). The post-fault maintenance is to maintain and manage the equipment and replace damaged elements after the equipment has functional faults, the maintenance period is not fixed, time consuming and uneconomical, the equipment is not beneficial to maintaining a certain availability, the serious economic loss is possibly caused, and the equipment and personal safety are threatened. This mode occurs during the first industrial revolution, the earliest and simplest overhaul mode, which has not been essentially the primary overhaul mode of the equipment as people become familiar with the operation of the equipment, the laws of failure and the development of overhaul theory. From the second industrial revolution, preventive maintenance has become a major maintenance model for various mechanical devices including generator sets, which means maintenance of the devices before the devices are functionally failed to reduce the failure rate of the devices and improve the availability.
The current maintenance arrangement of the power system in China on the generator set is realized by periodically arranging preventive maintenance under a three-public scheduling system, namely, a power grid company plans the maintenance period of the generator set in advance, so that the equipment keeps a good technical state, faults are reduced, the service life is prolonged, the system is ensured to have sufficient spare capacity and higher reliability level in each period, and the safe, reliable and economic operation of the system is ensured.
With the reform of the electric power industry market, the problem of unit maintenance arrangement becomes complex, and the electric power generating system relates to a plurality of power generating companies, market bodies and power grid companies, in particular to the core interests of the power generating companies. Therefore, the method for uniformly arranging the unit maintenance by the power grid company is adopted, the independent decision-making of the unit maintenance is not considered, and the market development requirement cannot be met.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a method for marketing arrangement of power system generator set overhaul.
A method for marketing arrangement of power system generator set overhaul comprises the following steps: a unit overhaul quotation step, an overhaul market clearing step, a power balance checking step and an overhaul cost settlement step;
1) A unit maintenance quotation step, wherein the unit maintenance quotation is that each generator set declares that the generator set is willing to pay for maintenance in a period of time when the generator set is expected to maintain; the unit overhaul quote should contain all the time periods during which overhaul can be scheduled, i.e. overhaul is scheduled at different times, and the costs that the unit is willing to pay may be different; periods of no quotation are randomly scheduled if constraints are met;
2) The maintenance market clearing step is to establish an optimization model by taking the maximum maintenance payment cost of all the units as an objective function according to the maintenance quotation condition of the units and considering various maintenance and safety constraints, and solve the optimization model so as to obtain the optimal maintenance arrangement; the optimization model is a mixed integer programming model, and can be solved by adopting a general solver;
3) The power balance checking step is to take the clear result of the overhaul market as an input condition to perform power balance calculation on the system in the overhaul total time period; if the power balance requirement is met, entering the next step; if the power shortage condition occurs in the individual time period, reducing the maximum overhaul capacity of the system in the time period, so as to clear the overhaul market again until the power balance requirement is met;
4) The maintenance cost settlement, namely, calculating the maintenance cost to be paid by each unit and the returning part of the maintenance cost of other units; the unit maintenance cost is paid, namely the self-declared price of the maintenance period is arranged, and the maintenance cost paid by one unit is returned by all in-service units in the period according to the unit capacity.
The invention has the advantages that the problem that the existing maintenance arrangement of the generator set of the power system cannot be suitable for the development of the marketization of the power is solved, the method for the marketization maintenance arrangement of the generator set by utilizing the mixed integer programming model is established, the fairness, fairness and competitiveness of the maintenance arrangement of the generator set can be improved, and the safety margin of the system and the economic benefit of various power manufacturers can be ensured.
Drawings
The invention, together with a further understanding of the many of its attendant advantages, will be best understood by reference to the following detailed description, when considered in conjunction with the accompanying drawings, which are included to provide a further understanding of the invention, and the accompanying drawings, illustrate and describe the invention and do not constitute a limitation to the invention, and wherein:
FIG. 1 is a schematic flow chart of the present invention.
The invention will be further described with reference to the drawings and examples.
Detailed Description
It will be apparent that many modifications and variations are possible within the scope of the invention, as will be apparent to those skilled in the art based upon the teachings herein.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element or component is referred to as being "connected" to another element or component, it can be directly connected to the other element or component or intervening elements or components may also be present. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art.
In order to facilitate an understanding of the embodiments, the following description will be given in conjunction with the accompanying drawings, and the various embodiments do not constitute a limitation of the present invention.
Example 1: as shown in fig. 1, a method for marketing a power system generator set overhaul, comprising the following steps:
a unit overhaul quotation step, an overhaul market clearing step, a power balance checking step and an overhaul cost settlement step;
1) A unit maintenance quotation step, wherein the unit maintenance quotation is that each generator set declares that the generator set is willing to pay for maintenance in a period of time when the generator set is expected to maintain; the unit overhaul quote should contain all the time periods during which overhaul can be scheduled, i.e. overhaul is scheduled at different times, and the costs that the unit is willing to pay may be different; periods of no quotation are randomly scheduled if constraints are met;
2) The maintenance market clearing step is to establish an optimization model by taking the maximum maintenance payment cost of all the units as an objective function according to the maintenance quotation condition of the units and considering various maintenance and safety constraints, and solve the optimization model so as to obtain the optimal maintenance arrangement; the optimization model is a mixed integer programming model, and can be solved by adopting a general solver;
3) The power balance checking step is to take the clear result of the overhaul market as an input condition to perform power balance calculation on the system in the overhaul total time period; if the power balance requirement is met, entering the next step; if the power shortage condition occurs in the individual time period, reducing the maximum overhaul capacity of the system in the time period, so as to clear the overhaul market again until the power balance requirement is met;
4) The maintenance cost settlement, namely, calculating the maintenance cost to be paid by each unit and the returning part of the maintenance cost of other units; the unit maintenance cost is paid, namely the self-declared price of the maintenance period is arranged, and the maintenance cost paid by one unit is returned by all in-service units in the period according to the unit capacity.
The method also comprises the following steps:
the unit overhaul quotation is that each generator unit declares the expense which is willing to pay for overhaul in the time period according to the time period in which each generator unit hopes to overhaul;
suppose that the maintenance time unit isThe overall arrangement time is->The arrangement time is divided into +.>Setting a total of N sets in each maintenance period, wherein for any set i, T quotations are required to be provided altogether, and the maintenance quotation in the T-th period is as followsAll offers should be equal to or greater than 0, and the point in time when no offer defaults to 0 offers, i.e., indicates that the unit does not need to be prioritised for servicing at that time.
The method also comprises the following steps:
establishing a model and solving the model, wherein the model is solved by adopting a general solver; optimizing and modeling;
before the optimization model is built, the following parameters need to be collected or determined:
1) The ith machine set needs to arrange maintenance timesEvery time overhaul time length->Rated capacity +.>；
2) Service capability of a system for a t-th service periodMaximum allowable service capacity->；
3) Maintenance capacity of power plant in mth maintenance period of mth power plantMaximum allowable overhaul capacity of power plant>；
Then constructing an overhaul market clearing optimization model as follows:
1) Optimizing variables
Creating 0-1 optimization variablesFor whether the unit i is scheduled to be overhauled in the t overhauling period, if the value is 1, the overhauling is scheduled, and if the value is 0, the overhauling is not scheduled, and meanwhile, an optimization variable +.>、/>And->Respectively, whether the unit i, the unit j and the unit n are scheduled to be overhauled in the tth overhauling period, wherein the overhauling is scheduled when the value is 1, and is not scheduled when the value is 0,
2) Objective function
The objective function of the let-down optimization model is as follows:
3) Constraint conditions
The constraint conditions include:
(a) The maintenance times of the units are constrained, and for each unit, the unit maintenance times are as follows:
(b) Unit service duration constraints, for each unit, fromPeriod of->The time periods are as follows:
(c) The system is simultaneously overhauled and can be constrained, and for each overhauling period t, the system comprises:
wherein:
(d) The power plant is simultaneously overhauled and can be constrained, and for any power plant m, the power plant comprisesFor each maintenance period t, the station unit includes:
wherein:
(e) The maximum allowable overhaul capacity of the system is that for each overhaul period t:
wherein:
(f) Maximum allowable overhaul capacity of a power plant, which includes, for any power plant mFor each maintenance period t, the station unit includes:
wherein:
the power balance checking step further comprises the following steps:
the power balance check is to take the clear result of the overhaul market as an input condition, and perform power balance calculation on the system in the overhaul overall time period; if the power balance requirement is met, entering the next step; if the power shortage condition occurs in the individual time period, reducing the maximum overhaul capacity of the system in the time period, so as to clear the overhaul market again until the power balance requirement is met;
the power balance checking method can adopt a production simulation method and can also adopt typical working conditions of a system for checking.
The repair fee settlement step further comprises the following steps:
the maintenance cost is divided into two parts, one part is the cost of the unit which is paid for maintenance in the maintenance period, the other part is the cost shared by the unit from the maintenance unit in the non-maintenance period,
for the ith unit, at time t, the first part of expenditure is
Wherein:
the part of the cost is shared by the units which are not in the maintenance state in the period, and the total capacity of the units which are not in the maintenance state in the period t is
Wherein:
for the rated capacity of the nth unit +.>For the time used for each overhaul of the nth unit,
the capacity proportion of the j-th unit to the non-overhauling unit in t period is as follows
Wherein:
is the rated capacity of the jth machine set,
for the time taken for each service of the j-th unit,
the j-th unit t period is divided into the following components from the overhaul cost paid by the i-th unit
If j=i, there is
Therefore, the total income of the ith unit in the t-th period is as follows:
thus, the total revenue for the ith unit is:
。
as described above, the embodiments of the present invention have been described in detail, but it will be apparent to those skilled in the art that many modifications can be made without departing from the spirit and effect of the present invention. Accordingly, such modifications are also entirely within the scope of the present invention.
Claims (3)
1. The marketization arrangement method for the overhaul of the generator set of the power system is characterized by comprising the following steps: a unit overhaul quotation step, an overhaul market clearing step, a power balance checking step and an overhaul cost settlement step;
1) A unit maintenance quotation step, wherein the unit maintenance quotation is that each generator set declares that the generator set is willing to pay for maintenance in a period of time when the generator set is expected to maintain; the crew overhaul quote should contain all the time periods during which overhaul can be scheduled, i.e. overhaul is scheduled at different times, the costs that the crew is willing to pay may be different; periods of no quotation are randomly scheduled if constraints are met;
2) The maintenance market clearing step is to establish an optimization model by taking the maximum maintenance payment cost of all the units as an objective function according to the maintenance quotation condition of the units and considering various maintenance and safety constraints, and solve the optimization model so as to obtain the optimal maintenance arrangement; the optimization model is a mixed integer programming model, and can be solved by adopting a general solver;
3) The power balance checking step is to take the clear result of the overhaul market as an input condition to perform power balance calculation on the system in the overhaul total time period; if the power balance requirement is met, entering the next step; if the power shortage condition occurs in the individual time period, reducing the maximum overhaul capacity of the system in the time period, so as to clear the overhaul market again until the power balance requirement is met;
4) The maintenance cost settlement, namely, calculating the maintenance cost to be paid by each unit and the returning part of the maintenance cost of other units; the maintenance cost of a unit is paid, namely the self-declared price of the maintenance period is arranged, and the maintenance cost paid by one unit is returned by all in-service units in the period according to the unit capacity;
the unit overhauls quotation step, still includes:
the unit overhaul quotation is that each generator unit declares the expense which is willing to pay for overhaul in the time period according to the time period in which each generator unit hopes to overhaul;
suppose that the maintenance time unit is T 0 Overall arrangement time is T all The scheduling time is divided into t=t all /T 0 Setting a total of N sets of equipment, wherein T quotations are required to be provided for any set i, the maintenance quotation of the T-th period is P (i, T), all quotations are more than or equal to 0, and the time point without quotation defaults to 0 quotation, namely, the set does not need to be maintained preferentially at the moment;
the step of clearing the overhaul market further comprises the following steps:
establishing a model and solving the model, wherein the model is solved by adopting a general solver; optimizing and modeling;
before the optimization model is built, the following parameters need to be collected or determined:
1) The ith unit needs to arrange maintenance times N (i), each maintenance time length T (i) and rated capacity P N (i)；
2) The overhaul capacity A (t) of the system in the t overhaul period and the maximum allowable overhaul capacity B (t);
3) The overhaul capacity A (m, t) of the power plant in the nth overhaul period of the mth power plant, and the maximum allowable overhaul capacity B (m, t) of the power plant;
then constructing an overhaul market clearing optimization model as follows:
1) Optimizing variables
Creating 0-1 optimization variables x (i, t), for whether the unit i is scheduled for maintenance in the t-th maintenance period, wherein the value is 1, i.e. scheduled for maintenance, and not scheduled for maintenance if 0, and simultaneously creating optimization variables x (i, tt), x (j, tt) and x (n, tt), respectively, for whether the unit i, the unit j and the unit n are scheduled for maintenance in the tt-th maintenance period, wherein the value is 1, i.e. scheduled for maintenance, and not scheduled for maintenance if 0,
2) Objective function
The objective function of the let-down optimization model is as follows:
3) Constraint conditions
The constraint conditions include:
(a) The maintenance times of the units are constrained, and for each unit, the unit maintenance times are as follows:
(b) The unit maintenance duration constraint, for each unit, from time t=1 to time t=t-T (i) +1, has:
(c) The system is simultaneously overhauled and can be constrained, and for each overhauling period t, the system comprises:
wherein:
s (i, T) =t-T (i) +1 < 11: T-T (i) +1, i.e. s (i, T) =1 when T-T (i) +1 < 1, otherwise s (i, T) =t-T (i) +1,
(d) The power plant overhauls the ability constraint simultaneously, to arbitrary power plant M, it includes M (M) platform unit, then to every maintenance period t, all have:
wherein:
s (i, T) =t-T (i) +1 < 11: T-T (i) +1, i.e. s (i, T) =1 when T-T (i) +1 < 1, otherwise s (i, T) =t-T (i) +1,
(e) The maximum allowable overhaul capacity of the system is that for each overhaul period t:
wherein:
s (i, T) =t-T (i) +1 < 11: T-T (i) +1, i.e. s (i, T) =1 when T-T (i) +1 < 1, otherwise s (i, T) =t-T (i) +1,
(f) The maximum allowable overhaul capacity of the power plant, for any power plant M, comprises M (M) units, and for each overhaul period t, the maximum allowable overhaul capacity of the power plant M comprises:
wherein:
s (i, T) =t-T (i) +1 < 11: T-T (i) +1, i.e. s (i, T) =1 when T-T (i) +1 < 1, otherwise s (i, T) =t-T (i) +1.
2. The method for marketizing and arranging generator set of electric power system according to claim 1, characterized in that the step of checking the electric power balance further comprises:
the power balance check is to take the clear result of the overhaul market as an input condition, and perform power balance calculation on the system in the overhaul overall time period; if the power balance requirement is met, entering the next step; if the power shortage condition occurs in the individual time period, reducing the maximum overhaul capacity of the system in the time period, so as to clear the overhaul market again until the power balance requirement is met;
the power balance checking method can adopt a production simulation method or adopt typical working conditions of a system for checking.
3. The method for marketing a repair of a power system generator set according to claim 1, further comprising the step of:
the maintenance cost is divided into two parts, one part is the cost of the unit which is paid for maintenance in the maintenance period, the other part is the cost shared by the unit from the maintenance unit in the non-maintenance period,
for the ith unit, at time t, the first part of expenditure is
Wherein:
s (i, T) =t-T (i) +1 < 11: T-T (i) +1, i.e. s (i, T) =1 when T-T (i) +1 < 1, otherwise s (i, T) =t-T (i) +1,
the part of the cost is shared by the units which are not in the maintenance state in the period, and the total capacity of the units which are not in the maintenance state in the period t is
Wherein:
s(n，t)＝t-T(n)+1＜11：t-T(n)+1，
i.e. s (n, T) =1 when T-T (n) +1 < 1, otherwise s (n, T) =t-T (n) +1, p N (n) is the rated capacity of the nth unit, T (n) is the time for each overhaul of the nth unit,
the capacity proportion of the j-th unit to the non-overhauling unit in t period is as follows
Wherein:
s(j，t)＝t-T(j)+1＜11：t-T(j)+1，
i.e. s (j, T) =1 when T-T (j) +1 < 1, otherwise s (j, T) =t-T (j) +1,
P N (j) Is the rated capacity of the jth machine set,
t (j) is the time used by the jth unit for each overhaul,
the j-th unit t period is divided into the following components from the overhaul cost paid by the i-th unit
C 2 (j，i，t)＝ρ(j，t)*C 1 (i，t)
If j=i, there is
C 2 (j，i，t)＝0
Therefore, the total income of the ith unit in the t-th period is as follows:
thus, the total revenue for the ith unit is:
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110251345.4A CN113011641B (en) | 2021-03-08 | 2021-03-08 | Electric power system generator set overhaul marketization arrangement method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110251345.4A CN113011641B (en) | 2021-03-08 | 2021-03-08 | Electric power system generator set overhaul marketization arrangement method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113011641A CN113011641A (en) | 2021-06-22 |
| CN113011641B true CN113011641B (en) | 2024-03-15 |
Family
ID=76408467
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110251345.4A Active CN113011641B (en) | 2021-03-08 | 2021-03-08 | Electric power system generator set overhaul marketization arrangement method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113011641B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018059096A1 (en) * | 2016-09-30 | 2018-04-05 | 国电南瑞科技股份有限公司 | Combined decision method for power generation plans of multiple power sources, and storage medium |
| CN109767078A (en) * | 2018-12-19 | 2019-05-17 | 西安交通大学 | A kind of polymorphic type power maintenance arrangement method based on mixed integer programming |
-
2021
- 2021-03-08 CN CN202110251345.4A patent/CN113011641B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018059096A1 (en) * | 2016-09-30 | 2018-04-05 | 国电南瑞科技股份有限公司 | Combined decision method for power generation plans of multiple power sources, and storage medium |
| CN109767078A (en) * | 2018-12-19 | 2019-05-17 | 西安交通大学 | A kind of polymorphic type power maintenance arrangement method based on mixed integer programming |
Non-Patent Citations (3)
| Title |
|---|
| 中长期合同竞价市场下自主确定检修计划对系统运行影响的探讨;林弋莎;鲁宗相;乔颖;马明;;全球能源互联网(03);全文 * |
| 电力市场环境下发电机组检修规划研究综述;冯长有;王锡凡;;电力系统保护与控制(13);全文 * |
| 考虑需求弹性的发电检修协调方法;方陈;夏清;孙欣;;电力系统保护与控制(06);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113011641A (en) | 2021-06-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Gong et al. | Achieving sustainable transport through resource scheduling: A case study for electric vehicle charging stations. | |
| CN109190777B (en) | Multi-time scale coordinated maintenance plan optimization method | |
| CN111191846A (en) | Oil cylinder product scheduling optimization device for complex customization requirements of customers | |
| Mohagheghi et al. | Intelligent demand response scheme for energy management of industrial systems | |
| CN110570020B (en) | Medium-and-long-term transaction electric quantity safety checking method suitable for regional alternating current-direct current hybrid power grid | |
| Dashtdar et al. | Probabilistic planning for participation of virtual power plants in the presence of the thermal power plants in energy and reserve markets | |
| CN112104005B (en) | Power grid dispatching method and system considering new energy prediction uncertainty | |
| CN105069516A (en) | Electric transmission and transformation equipment monthly maintenance schedule coordination method based on integrated risk | |
| CN104821581A (en) | Optimum day-ahead reserve capacity determination method | |
| Tan | Agile manufacturing and management of variability | |
| CN107316146A (en) | A kind of production scheduling System and method for of resources of production scheduling | |
| Yang et al. | A fast calculation method for long-term security-constrained unit commitment of large-scale power systems with renewable energy | |
| Sadeghi Sarcheshmeh et al. | A stochastic frequency security constrained optimization model for day‐ahead energy and reserve scheduling of islanded multi‐microgrids systems | |
| CN113011641B (en) | Electric power system generator set overhaul marketization arrangement method | |
| Gao et al. | Joint optimisation on maintenance policy and resources for multi-unit parallel production system | |
| CN107491823B (en) | Monthly generator set maintenance plan optimization method based on two-layer planning | |
| Krishnan et al. | Optimal load management in a shipyard drydock | |
| CN109932901A (en) | A kind of two stages robust Unit Combination method counted and failure constrains | |
| CN113988390A (en) | Unit maintenance optimization method based on support vector machine | |
| CN102592004A (en) | System and method for on-line analysis and diagnosis of whole-process energy-consuming conditions of integrated iron and steel works | |
| US20030036937A1 (en) | Method for control and coordination of independent tasks using benders decomposition | |
| CN117060400A (en) | Urban power distribution network toughness recovery method, system, equipment and medium | |
| Mert et al. | An architecture for a microgrid-based eco industrial park using a Multi-Agent System | |
| Martín et al. | Model to evaluate the system‐wide impact of residential and commercial photovoltaic and storage units intended for self‐consumption | |
| Nazemi et al. | Swift disaster recovery for resilient power grids: integration of ders with mobile power sources |
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 | ||
| CB02 | Change of applicant information |
Country or region after: China Address after: D3304, 3rd Floor, Building 1 (North), No. 368 Liuhe Road, Puyan Street, Binjiang District, Hangzhou City, Zhejiang Province, 310052 Applicant after: Zhejiang Liyang Wanneng Technology Co.,Ltd. Address before: Room 503, building 5, liuhejinzuo, Xihu District, Hangzhou City, Zhejiang Province, 310012 Applicant before: Zhejiang WanLiYang Energy Technology Co.,Ltd. Country or region before: China |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |