CN102013051A - Method for analyzing and optimizing reliability cost/benefit precision of power supply - Google Patents
Method for analyzing and optimizing reliability cost/benefit precision of power supply Download PDFInfo
- Publication number
- CN102013051A CN102013051A CN2010105194518A CN201010519451A CN102013051A CN 102013051 A CN102013051 A CN 102013051A CN 2010105194518 A CN2010105194518 A CN 2010105194518A CN 201010519451 A CN201010519451 A CN 201010519451A CN 102013051 A CN102013051 A CN 102013051A
- Authority
- CN
- China
- Prior art keywords
- reliability
- cost
- curve
- measure
- analysis
- 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.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention belongs to the field of an electric power system, in particular relating to a method for analyzing and optimizing the reliability cost/benefit precision of power supply. In the method, when a distribution network plan is carried out with the improvement of power supply reliability as a target, a reliability cost/benefit analysis curve can be obtained during individual implementation of each measure through actually analyzing various reliability improvement measures by utilizing the method; then the curves corresponding to the various measures are combined to formulate a reliability optimized strategy in combination with various measures by utilizing a classical reliability cost/benefit precision analysis theory of power supply; a reliability optimized path is selected from the combined curve by utilizing the strategy and can be further analyzed into the actual investment of each optimized measure, and further an implementation scale required for each measure can be obtained; and finally, the implementation scale is put into a specific scheme by combining the actual condition of a distribution network.
Description
Technical field
The invention belongs to field of power, be specifically related to a kind of power supply reliability cost/benefit lean analysis and optimization method.
Background technology
Owing to the unreliable power consumer that causes of power supply has a power failure, not only may bring serious economic loss and bad social influence to the user, also can bring owing to few electricity sales amount and the economic benefit that reparations user loss of outage produces reduce to power supply enterprise.But to power supply enterprise, it is conflicting often with raising business economic benefit to improve power supply reliability.Take the reasonable combination of which measure to improve the reliability level that power supply reliability could obtain the best with rational cost of investment; Perhaps should bring up to which kind of level to reliability with great cost of investment is the best, and these all need to make a strategic decision by reliability cost/performance analysis.
For ease of weighing and calculating society and the economic benefit that electrical network produced under a certain power supply reliability level, the reliability benefit can be used the short of electricity cost, that is represent owing to electric power undersupply or interruption cause the economic loss that user's short of electricity, power failure cause.Obviously, under the constant situation of unit short of electricity cost, the short of electricity cost is low more, and the reliability benefit is high more.So just can improve reliability on the reliability cost of scheme and the economy that the reliability benefit is unified in electrical network and weigh, be convenient to be optimized by reliability cost/performance analysis.
Reliability cost/performance analysis can illustrate with marginal cost and marginal contribution notion.The reliability marginal cost is defined as: need the cost of investment of increase for increasing a unit reliability level.The reliability marginal contribution is defined as: because of having increased benefit that a unit reliability level obtains or the short of electricity cost that therefore reduces, so also can be described as marginal short of electricity cost.In the cost of the reliability shown in the accompanying drawing 1/performance analysis curve, UC represents the reliability marginal cost curve; CC represents reliability marginal contribution curve or marginal short of electricity cost curve; TC is a limit power supply total cost curve.By the correlation theory of power supply reliability cost/performance analysis as can be known, in reliability cost/performance analysis curve, when the reliability marginal cost equaled the reliability marginal contribution, limit power supply total cost was minimum, at this moment pairing reliability level R
mBe the optimal reliability level.UC and CC curve promptly are actual reliability cost of investment and reliability benefits to the integrated value of horizontal ordinate in the accompanying drawing 1.
The reliability cost of power distribution network is exactly that power supply enterprise makes power supply reliability reach the cost that certain level spends, comprise an investment cost, equipment O﹠M and the managerial cost and the labour cost etc. of system's construction and upgrading, the summation of these expenses is exactly a power distribution network power supply reliability cost.In the middle of actual computation, also to consider the division of time value of currency and the conversion of time value of currency.In addition; because all kinds of reliability optimization measures are often not only for improving reliability services; usually also have other purposes (as reducing line loss, improve service quality etc.); therefore; when calculating investment; should consider that miscellaneous investments is used to improve the proportion of reliability in zones of different, measurement reliability cost of investment that like this could be more actual.
The power supply reliability pricing is relatively easy, but the relatively difficult estimation of difficulty, particularly social benefit of its reliability benefit calculation.Be generally and be convenient to calculate, can be converted into the calculating that the short of electricity cost is reduced to the reliability benefit of taking for raising power supply reliability level that measure produced.Obviously, under the constant situation of unit short of electricity cost, the short of electricity cost is low more, and the reliability benefit is just high more.The factor that influences the short of electricity cost is a lot, does not have unified computing method, generally can adopt the GDP computing method, by electricity price multiple computing method, and by short of electricity power, short of electricity amount, short of electricity duration and short of electricity frequency meter algorithm.
Though power supply reliability cost/performance analysis is in theory relatively ripe, but in the middle of distribution network planning construction project reality, China and utilization cost/performance analysis not yet in effect and optimization theory, instruct strategy and still be based on power supply capacity and N-k, be the planing method of forecast accident analysis and guidance strategy,, reserve enough margin capacities by certain planning criterion for the basis, switch and other measures by circuit, guarantee power supply reliability indirectly.There is certain defective in this mode.Trace it to its cause, mainly be (mainly can be divided into network, equipment, technology, management four big classes because the influence factor of power supply reliability has a lot, also can further segment in every class), reliability cost that multiple factors combine can produce and the reliability benefit that may bring thereof are difficult to determine, and the reliability cost/benefit of different regions under different stages of development is also all different, cause the power supply reliability cost/operability of performance analysis theoretical model in the middle of engineering reality very poor, be difficult to carry out practical application.
For this reason, this patent has proposed a kind of lean analysis and optimization method further combined with reality on traditional power supply reliability cost/performance analysis theoretical foundation.By all kinds of reliabilities being improved the analysis of measure, obtain the reliability cost/performance analysis curve under the independent use of every class measure, can utilize power supply reliability cost/performance analysis theory afterwards, from curve, choose the reliability optimization path by certain optimisation strategy, and can further resolve into the implement scale and the investment of every kind of measure, at last in conjunction with the power distribution network actual conditions, implementing measure is implemented in the middle of the detailed programs scheme.This method can investment (or reliability) is optimized, thereby improves the reliability benefit, and this method have very high actual operability under the prerequisite that satisfies certain reliability objectives (or investment constraint).
Summary of the invention
The objective of the invention is in order to overcome the defective of above-mentioned prior art, a kind of power supply reliability cost/benefit lean analysis and optimization method is provided.Carrying out when improving power supply reliability and be the distribution network planning of target, utilizing this method,, can obtain the reliability cost/performance analysis curve of every class measure under implementing separately by all kinds of reliabilities being improved the actual analysis of measures; Curve to multiple measure correspondence makes up afterwards, utilizes classical power supply reliability cost/performance analysis theory again, makes the reliability optimization strategy of considering that multiple measure combines; Utilize this strategy can from build-up curve, choose reliability optimization path (promptly optimizing route map), and this path further can be resolved into the actual investment of every kind of optimized Measures, and then can obtain the scale of every kind of required enforcement of measure, at last can be in conjunction with the power distribution network actual conditions, implement scale is implemented in the middle of the detailed programs scheme.This method not only can be optimized regional distribution network, can also optimize independent circuit; Not only can the investment of given reliability objectives be optimized, can also the reliability objectives of given investment be optimized; This method can also form the reliability optimization route map of considering multiple measure combination, is used to instruct reliability optimization work, realizes the lean management.This method is a kind of power distribution network power supply reliability optimization method with very high actual operability.
A kind of power supply reliability cost of the present invention/benefit lean analysis and optimization method may further comprise the steps:
(1) determines research object
Research object comprises a power supply area or some distribution lines;
(2) research object present situation fail-safe analysis
The present situation fail-safe analysis comprises based on the statistical study of actual power-off event with based on the predictability of assessment models to be assessed, and then the reliability weak link of clear and definite research object;
(3) the reliability optimization measure is decomposed
By analysis, select reliability optimization measure group, and decompose the reliability effect factor;
(4) optimized Measures sensitivity analysis
At first every class measure can be converted into change to dependability parameter to the influence of reliability, just this change can be applied in the middle of the conventional power distribution network power supply reliability assessment models afterwards, carry out the predictability assessment, thereby the reliability that can obtain after this measure is implemented is separately improved effect, the ratio of its marginal contribution and cost is exactly benefit/cost sensitivity degree, its value is high more to show that this measure susceptibility is high more, and its implementation result can be good more;
(5) the optimized Measures lean is analyzed
Reliability marginal cost curve in reliability cost/performance analysis curve is further resolved into many curves according to different optimized Measures, and the reliability marginal contribution curve of a plurality of measure correspondences is drafted is a curve;
(6) formulate the reliability optimization strategy
At different optimization aim: optimize investment or optimize reliability, adopt the reasonable optimizing strategy, make prioritization scheme, form engineering project, for implementing to lay the foundation.
Wherein, the method for formulation reliability optimization strategy is as follows:
To determine that the cost of investment under the reliability is optimized for target, its policy development is as follows:
1) utilizes optimized Measures lean analysis result, from reliability cost/performance analysis curve, find a nearest reliability marginal cost curve of The initial segment distance X axle, begin to search for backward from this curve starting point;
2) if intersect with another reliability marginal cost curve, then transfer to continue search backward from this new curve, analogize later on, till reaching reliability objectives;
3) all line segments that are distributed on the searching route have just connected into the reliability marginal cost optimal curve of considering under the multinomial optimized Measures; This curve is gross investment under the corresponding reliability level to the integration of reliability between from the starting point to the impact point;
4) obtain gross investment after, can will invest the investment that is decomposed into multiple optimized Measures by section; For every kind of measure, then can make the particular content and the scale of optimized Measures according to the reliability weak link of investment size and research object; Can further form concrete prioritization scheme and engineering project afterwards.
Wherein, the method for optimized Measures lean analysis is as follows:
Utilize the benefit/cost sensitivity degree analysis result under the Different Optimization measure, can adopt linearity, the approximating method of logarithm and/or index, reliability marginal cost curve in reliability cost/performance analysis curve is fitted to many curves according to different optimized Measures decomposition, reliability marginal cost when every curve representative uses this measure to reach its limit reliability level separately, because improving the benefit of unit reliability in the power distribution network of given area is a definite value, therefore the reliability marginal contribution curve of a plurality of measure correspondences can be drafted is a curve, thereby simplifies analytic process.
Wherein, the method for the benefit under the Different Optimization measure/cost sensitivity degree analysis is as follows:
The measure of every class reliability optimization is converted into change to dependability parameter to the influence of reliability, this change is applied in the middle of the conventional power distribution network power supply reliability assessment models afterwards, thereby the reliability that obtains after this measure is implemented is separately improved effect; For ease of analyzing, the reliability that can be evaluated under the maximum possible enforcement degree changes, at this moment the marginal contribution of Chan Shenging can be described as " the average marginal contribution of the limit ", required cost is called " the average marginal cost of the limit ", its ratio is exactly benefit/cost sensitivity degree, its value is high more to show that this measure susceptibility is high more, and its implementation result can be good more.
The advantage of technical solution of the present invention is:
(1) method of the present invention is actual from regional distribution network, has not only fully used power supply reliability cost/performance analysis theoretical model, and has increased substantially the actual operability of this theoretical model, has very high engineering using value.
(2) method of the present invention not only can be optimized the optimized Measures and the investment of given reliability objectives, reduces the reliability optimization cost; Can also the reliability objectives under the given investment constraint be optimized, promote reliability level.
(3) utilization is based on the optimisation strategy of reliability cost/performance analysis curve proposition, can form the reliability optimization path of considering multiple measure, and then the classification and the priority level initializing (promptly optimizing route map) that can be power supply enterprise's reliability optimization planned project provide foundation.
(4) method of the present invention has higher adaptability, analyze thinking by using lean, can analyze single zone or single line, the analysis and the optimization demand that can adapt to different levels, its practical application helps power supply enterprise to realize the management of reliability lean, and can bring remarkable benefit.
Description of drawings
The present invention is further described below in conjunction with accompanying drawing.
Fig. 1 is reliability cost/performance analysis curve;
Fig. 2 is the process flow diagram that the reliability cost/the performance analysis curve is optimized that utilizes according to method of the present invention;
Fig. 3 is the reliability cost/performance analysis curve example of amplifying according to the part of method of the present invention;
Fig. 4 is based on the optimization path example (blue portion) of multiple measure reliability cost/performance analysis curve.
Embodiment
Method of the present invention is primarily aimed at the optimization of medium voltage distribution network power supply reliability, and specific embodiments is as follows.
(1) optimized Measures sensitivity analysis
In the same area power distribution network, different reliability optimization measures is different in the investment aspect the raising unit reliability, and the benefit of generation also is different.Therefore, at first every class measure can be converted into change (as permanent fault rate, fault correction time, switching time etc.) to dependability parameter to the influence of reliability, just this change can be applied in the middle of the conventional power distribution network power supply reliability assessment models afterwards, carry out the predictability assessment, thereby the reliability that can obtain after this measure is implemented is separately improved effect.For the same area power distribution network, even if same measure, the influence that its difference of implementing degree is brought reliability is different, and for ease of analyzing, the reliability that can be evaluated under the maximum possible enforcement degree changes.At this moment the marginal contribution of Chan Shenging can be described as " the average marginal contribution of the limit ", and required cost is called " the average marginal cost of the limit ", and its ratio is exactly benefit/cost sensitivity degree, and its value is high more to show that this measure susceptibility is high more, and its implementation result can be good more.Wherein, the calculating of cost and benefit can be adopted the computing method of mentioning in " background technology ".
(2) the optimized Measures lean is analyzed
Utilize the benefit/cost sensitivity degree analysis result under the Different Optimization measure, UC curve in reliability cost/performance analysis curve (being the reliability marginal cost curve) is further resolved into many curves according to different optimized Measures, for the lean analysis of regional distribution network under different reliability optimization measures lays the foundation.The limit reliability level that every kind of measure can reach is different, i.e. the terminal point difference of each curve.Wherein, the reliability marginal cost when every UC curve representative uses this measure to reach its limit reliability level separately, its integration to reliability level (X-axis) is the required cost of investment of this measure.
Because improving the benefit of unit reliability in the power distribution network of given area is a definite value, therefore the reliability marginal contribution curve of a plurality of measure correspondences can be drafted is a curve, is convenient to simplify analytic process like this, also has more actual operability simultaneously.
Utilize main flow process that reliability cost/performance analysis curve is optimized as shown in Figure 2, process is as follows:
1) determining research object, can be a zone, also can be some distribution lines;
2) research object is carried out the present situation fail-safe analysis, comprise based on the statistical study of actual power-off event with based on the predictability of assessment models and assessing, and then the reliability weak link of clear and definite research object;
3), select reliability optimization measure group, and decompose by analysis to main reliability effect factor;
4),, determine average marginal contribution of its limit (short of electricity cost) and the average marginal cost of the limit (cost of investment) by the predictability assessment at every kind of measure;
5) utilize benefit/cost sensitivity degree analysis, match obtains cost/performance analysis curve (as shown in Figure 3);
6) at different optimization aim (optimize investment or optimize reliability), adopt the reasonable optimizing strategy, formulate prioritization scheme;
(3) reliability optimization strategy
Local reliability cost/performance analysis curve example of amplifying is seen accompanying drawing 3.
Below by being optimized for example, optimisation strategy is discussed with the cost of investment under definite reliability objectives.
1) find a nearest reliability marginal cost curve of The initial segment distance X axle from reliability cost/performance analysis curve, " automatization level " reliability marginal cost curve as in the accompanying drawing 3 begins to search for backward from this curve starting point;
2) if intersect (intersection point shown in red vertical line in the accompanying drawing 3) with another reliability marginal cost curve, then transfer to continue search backward from this curve, analogize later on, up to reaching reliability objectives (position shown in accompanying drawing 3 Smalt vertical lines);
3) all line segments that are distributed on the searching route have just connected into the reliability marginal cost optimal curve of considering under the multinomial optimized Measures; This curve is gross investment under the corresponding reliability level to the integration of reliability between from the starting point to the impact point; Curve on the curve between two adjacent intersection points is the corresponding needed cost of investment of optimized Measures to the integration of reliability (X-axis);
4) intersection point of reliability marginal contribution curve and any one marginal cost curve in the accompanying drawing 3, pairing optimal reliability level when being this measure of independent use;
5) obtain gross investment after, can will invest the investment that is decomposed into multiple optimized Measures by section; For every kind of measure, then can make the particular content and the scale of optimized Measures according to the reliability weak link of investment size and research object; Can further form concrete prioritization scheme and engineering project afterwards, for implementing to lay the foundation.
The optimization path example based on the reliability cost/performance analysis curve of multiple measure that adopts that above-mentioned strategy forms is seen accompanying drawing 4.Can see that if select other any different optimization path, its cost all can be higher than the result who obtains according to above-mentioned optimisation strategy.
(4) explanation of method and expansion
The intersection point of each reliability marginal cost curve comes down to the intersection point of limit power supply total cost curve TC=CC+UC under each measure in the accompanying drawing 3, the purpose of optimizing is the limit power supply total cost minimum point of trying hard to find under each measure integrated application, but because marginal contribution curve C C is same curve (literary composition sees before), so the intersection point of TC curve is exactly the intersection point of UC curve under each measure, so the total cost curve of the limit can being powered saves.
Because the theoretical solution procedure of power distribution network optimal reliability prioritization scheme is very complicated, operability is very low.The resulting scheme of this method may not be theoretical optimal result, but has very strong operability, and simultaneously because this method includes certain heuristic optimization thinking interior, so its result has higher rationality.
In fact, because the construction of a rack and optimization are the bases of power distribution network operation, therefore, when described analysis of practical application this chapter and optimization thinking, the general selection that all can on the basis of the network optimization, consider other optimized Measures again, for in-problem zone, rack aspect, more real and important especially.At this moment, just need revise former optimisation strategy, at first start with from the network optimization, search for along network optimization reliability marginal cost curve, extremely with reliability marginal contribution curve intersection point back (intersection point shown in accompanying drawing 3 green vertical lines), continue search according to aforementioned thinking again and optimize the path, last synthesis path is the final optimization pass path.
This method can provide foundation for the classification and the priority level initializing (promptly optimizing route map) of power supply enterprise's reliability optimization planned project.Analyze thinking if further deeply use lean, these planned projects can be sub-divided into single subregion or single line, as seen this method has higher adaptability, the analysis and the optimization demand that can adapt to different levels, its practical application can be enterprise's reliability lean management and bring benefit.
Invention has been described according to specific exemplary embodiment herein.It will be conspicuous carrying out suitable replacement to one skilled in the art or revise under not departing from the scope of the present invention.Exemplary embodiment only is illustrative, rather than to the restriction of scope of the present invention, scope of the present invention is by appended claim definition.
Claims (4)
1. power supply reliability cost/benefit lean analysis and optimization method is characterized in that may further comprise the steps:
(1) determines research object
Research object comprises a power supply area or some distribution lines;
(2) research object present situation fail-safe analysis
The present situation fail-safe analysis comprises based on the statistical study of actual power-off event with based on the predictability of assessment models to be assessed, and then the reliability weak link of clear and definite research object;
(3) the reliability optimization measure is decomposed
By analysis, select reliability optimization measure group, and decompose the reliability effect factor;
(4) optimized Measures sensitivity analysis
At first every class measure can be converted into change to dependability parameter to the influence of reliability, just this change can be applied in the middle of the conventional power distribution network power supply reliability assessment models afterwards, carry out the predictability assessment, thereby the reliability that can obtain after this measure is implemented is separately improved effect, the ratio of its marginal contribution and cost is exactly benefit/cost sensitivity degree, its value is high more to show that this measure susceptibility is high more, and its implementation result can be good more;
(5) the optimized Measures lean is analyzed
Reliability marginal cost curve in reliability cost/performance analysis curve is further resolved into many curves according to different optimized Measures, and the reliability marginal contribution curve of a plurality of measure correspondences is drafted is a curve;
(6) formulate the reliability optimization strategy
At different optimization aim: optimize investment or optimize reliability, adopt the reasonable optimizing strategy, make prioritization scheme, form engineering project, for implementing to lay the foundation.
2. analysis and optimization method as claimed in claim 1, the method that it is characterized in that formulating the reliability optimization strategy is as follows:
To determine that the cost of investment under the reliability is optimized for target, its policy development is as follows:
1) utilizes optimized Measures lean analysis result, from reliability cost/performance analysis curve, find a nearest reliability marginal cost curve of The initial segment distance X axle, begin to search for backward from this curve starting point;
2) if intersect with another reliability marginal cost curve, then transfer to continue search backward from this new curve, analogize later on, till reaching reliability objectives;
3) all line segments that are distributed on the searching route have just connected into the reliability marginal cost optimal curve of considering under the multinomial optimized Measures; This curve is gross investment under the corresponding reliability level to the integration of reliability between from the starting point to the impact point;
4) obtain gross investment after, can will invest the investment that is decomposed into multiple optimized Measures by section; For every kind of measure, then can make the particular content and the scale of optimized Measures according to the reliability weak link of investment size and research object; Can further form concrete prioritization scheme and engineering project afterwards.
3. analysis and optimization method as claimed in claim 2 is characterized in that the method for optimized Measures lean analysis is as follows:
Utilize the benefit/cost sensitivity degree analysis result under the Different Optimization measure, can adopt linearity, the approximating method of logarithm and/or index, reliability marginal cost curve in reliability cost/performance analysis curve is fitted to many curves according to different optimized Measures decomposition, reliability marginal cost when every curve representative uses this measure to reach its limit reliability level separately, because improving the benefit of unit reliability in the power distribution network of given area is a definite value, therefore the reliability marginal contribution curve of a plurality of measure correspondences can be drafted is a curve, thereby simplifies analytic process.
4. analysis and optimization method as claimed in claim 3 is characterized in that the method for the benefit/cost sensitivity degree analysis under the Different Optimization measure is as follows:
The measure of every class reliability optimization is converted into change to dependability parameter to the influence of reliability, this change is applied in the middle of the conventional power distribution network power supply reliability assessment models afterwards, thereby the reliability that obtains after this measure is implemented is separately improved effect; For ease of analyzing, the reliability that can be evaluated under the maximum possible enforcement degree changes, at this moment the marginal contribution of Chan Shenging can be described as " the average marginal contribution of the limit ", required cost is called " the average marginal cost of the limit ", its ratio is exactly benefit/cost sensitivity degree, its value is high more to show that this measure susceptibility is high more, and its implementation result can be good more.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010105194518A CN102013051A (en) | 2010-10-26 | 2010-10-26 | Method for analyzing and optimizing reliability cost/benefit precision of power supply |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010105194518A CN102013051A (en) | 2010-10-26 | 2010-10-26 | Method for analyzing and optimizing reliability cost/benefit precision of power supply |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102013051A true CN102013051A (en) | 2011-04-13 |
Family
ID=43843220
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010105194518A Pending CN102013051A (en) | 2010-10-26 | 2010-10-26 | Method for analyzing and optimizing reliability cost/benefit precision of power supply |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102013051A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102306346A (en) * | 2011-08-12 | 2012-01-04 | 中国电力科学研究院 | Decision method for optimizing objective net support structure of medium-voltage distribution network based on reliability program |
| CN103020724A (en) * | 2012-05-08 | 2013-04-03 | 任一涛 | Automatic planning and optimization selection system and method |
| CN103106624A (en) * | 2013-02-27 | 2013-05-15 | 广东电网公司东莞供电局 | Method of building reliable improved effect relation between investment on power grid and power supply |
| CN104766247A (en) * | 2015-04-14 | 2015-07-08 | 国家电网公司 | Full voltage class power grid reliability calculation method |
| CN107123982A (en) * | 2017-04-01 | 2017-09-01 | 中国电力科学研究院 | A kind of distribution network reliability analysis method of economic benefit based on equipment alteration |
| CN110570117A (en) * | 2019-09-04 | 2019-12-13 | 湖南联诚轨道装备有限公司 | Reliability allocation method |
| CN110895774A (en) * | 2019-11-29 | 2020-03-20 | 国电浙能宁东发电有限公司 | Thermal power plant cost fine management method |
| CN111311101A (en) * | 2020-02-20 | 2020-06-19 | 广东电网有限责任公司 | Power distribution network resource allocation method and device based on service index sensitivity |
| CN112182916A (en) * | 2020-11-04 | 2021-01-05 | 国网北京市电力公司 | Power distribution network reliability marginal benefit and marginal cost analysis method and system |
| CN113222365A (en) * | 2021-04-26 | 2021-08-06 | 四川大学华西第二医院 | Clinical pathway design and evaluation method, system, medium, device and application |
-
2010
- 2010-10-26 CN CN2010105194518A patent/CN102013051A/en active Pending
Non-Patent Citations (1)
| Title |
|---|
| 骆敏 等: "配电网供电可靠性定量评估及可靠性成本/效益分析软件包研究", 《供用电》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102306346A (en) * | 2011-08-12 | 2012-01-04 | 中国电力科学研究院 | Decision method for optimizing objective net support structure of medium-voltage distribution network based on reliability program |
| CN102306346B (en) * | 2011-08-12 | 2015-04-01 | 中国电力科学研究院 | Decision method for optimizing objective net support structure of medium-voltage distribution network based on reliability program |
| CN103020724A (en) * | 2012-05-08 | 2013-04-03 | 任一涛 | Automatic planning and optimization selection system and method |
| CN103020724B (en) * | 2012-05-08 | 2016-11-23 | 格博信息技术（苏州）有限公司 | Automatically planning and optimized choice system and method |
| CN103106624A (en) * | 2013-02-27 | 2013-05-15 | 广东电网公司东莞供电局 | Method of building reliable improved effect relation between investment on power grid and power supply |
| CN104766247A (en) * | 2015-04-14 | 2015-07-08 | 国家电网公司 | Full voltage class power grid reliability calculation method |
| CN107123982A (en) * | 2017-04-01 | 2017-09-01 | 中国电力科学研究院 | A kind of distribution network reliability analysis method of economic benefit based on equipment alteration |
| CN107123982B (en) * | 2017-04-01 | 2021-10-29 | 中国电力科学研究院 | Power distribution network reliability economic benefit analysis method based on equipment transaction |
| CN110570117A (en) * | 2019-09-04 | 2019-12-13 | 湖南联诚轨道装备有限公司 | Reliability allocation method |
| CN110895774A (en) * | 2019-11-29 | 2020-03-20 | 国电浙能宁东发电有限公司 | Thermal power plant cost fine management method |
| CN111311101A (en) * | 2020-02-20 | 2020-06-19 | 广东电网有限责任公司 | Power distribution network resource allocation method and device based on service index sensitivity |
| CN112182916A (en) * | 2020-11-04 | 2021-01-05 | 国网北京市电力公司 | Power distribution network reliability marginal benefit and marginal cost analysis method and system |
| CN113222365A (en) * | 2021-04-26 | 2021-08-06 | 四川大学华西第二医院 | Clinical pathway design and evaluation method, system, medium, device and application |
| CN113222365B (en) * | 2021-04-26 | 2024-04-16 | 四川大学华西第二医院 | Clinical path design and evaluation method, system, medium, equipment and application |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102013051A (en) | Method for analyzing and optimizing reliability cost/benefit precision of power supply | |
| Maheshwari et al. | Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model | |
| CN102306346B (en) | Decision method for optimizing objective net support structure of medium-voltage distribution network based on reliability program | |
| Della Giustina et al. | Electrical distribution system state estimation: measurement issues and challenges | |
| Li et al. | The comprehensive evaluation of smart distribution grid based on cloud model | |
| CN102074954A (en) | Comprehensive energy-conservation evaluation and decision-making method for urban and rural distribution network | |
| CN103310307B (en) | Based on the Power System Planning scheme flexibility appraisal procedure of probability distributive function | |
| CN106327081B (en) | Distribution network project reliability benefit evaluation method based on life cycle | |
| CN103824234A (en) | Blocking and hierarchical structure based power distribution system reliability evaluation method | |
| CN111582598A (en) | Grid planning scheme automatic generation method based on grid structure and grid index analysis | |
| CN103150605B (en) | Power grid planning auxiliary system | |
| CN104123588A (en) | Comprehensive evaluation system and method of smart distribution grid | |
| CN103020290B (en) | Electric network information method of calibration and system | |
| CN106056245A (en) | Provincial level low-carbon energy program analysis method | |
| CN104252647A (en) | Inverse distance weighting interpolation method-based electrical load prediction method | |
| CN115842354A (en) | Wind power energy storage configuration method for improving wind power prediction correlation coefficient | |
| CN103544362A (en) | Harmonic medium and long term prediction method based on two-dimensional curve prediction | |
| CN114266136A (en) | Clean energy consumption capacity evaluation method based on time sequence simulation and risk measurement | |
| CN114168662A (en) | Power distribution network problem combing and analyzing method and system based on multiple data sources | |
| Herbst et al. | Lv grid data analysis demonstrated at dso arbon energie | |
| CN109787285B (en) | Method and system for deciding new energy machine group grid-connected scheme | |
| CN114330527B (en) | Building ammeter distribution identification method, system, device and storage medium | |
| Liu et al. | Combination weighting-based method for access point optimization of offshore wind farm | |
| KR20010106939A (en) | Method of a Substation Plan | |
| US20230378806A1 (en) | System and method for supporting creation of system plan to change configuration of power system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20110413 |