CN109784742A - Unit primary frequency modulation performance comprehensive estimation method and system based on combination weights method - Google Patents

Unit primary frequency modulation performance comprehensive estimation method and system based on combination weights method Download PDF

Info

Publication number
CN109784742A
CN109784742A CN201910063484.7A CN201910063484A CN109784742A CN 109784742 A CN109784742 A CN 109784742A CN 201910063484 A CN201910063484 A CN 201910063484A CN 109784742 A CN109784742 A CN 109784742A
Authority
CN
China
Prior art keywords
index
unit
frequency modulation
primary frequency
weight
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
Application number
CN201910063484.7A
Other languages
Chinese (zh)
Inventor
胡伟
韩月
戚宇辰
胡海舰
杨滢璇
冯达
杜金水
陈波
何云志
庞红艳
黄华明
李晓强
李伟华
李彬
包维雄
姚洪林
都亮
车彬
孙文成
李文斐
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tsinghua University
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
State Grid Tibet Electric Power Co Ltd
Southwest Branch of State Grid Corp
Original Assignee
Tsinghua University
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
State Grid Tibet Electric Power Co Ltd
Southwest Branch of State Grid Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Tsinghua University, State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd, State Grid Tibet Electric Power Co Ltd, Southwest Branch of State Grid Corp filed Critical Tsinghua University
Priority to CN201910063484.7A priority Critical patent/CN109784742A/en
Publication of CN109784742A publication Critical patent/CN109784742A/en
Pending legal-status Critical Current

Links

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention proposes a kind of unit primary frequency modulation performance comprehensive estimation method and system based on combination weights method, wherein, method includes the following steps: establishing unit primary frequency modulation evaluation index system, and initial assessment index is obtained according to unit primary frequency modulation evaluation index system;Initial assessment index is normalized to obtain final evaluation index;Subjective decision method is respectively adopted to final evaluation index to calculate, to obtain the subjective weight and objective weight of index;Using the subjective weight of least square method parameter and the comprehensive weight of objective weight, and according to the comprehensive evaluation result of comprehensive weight acquisition unit.This method establishes complete index structure, the overall merit of unit primary frequency modulation has been acquired in conjunction with objective and subjective synthetic approach, as a result more comprehensive, objective, reasonable, facilitate the primary frequency modulation performance that management and running department analyzes each unit in power grid comprehensively, it is managed and examines convenient for establishing database to it, be able to ascend supervision and evaluation quality.

Description

Unit primary frequency modulation performance comprehensive estimation method and system based on combination weights method
Technical field
The present invention relates to electric system net source coordination administrative skill field, in particular to a kind of machines based on combination weights method Group primary frequency modulation performance comprehensive estimation method and system.
Background technique
The running frequency of electric system is that can one of most basic index of power quality and electric system safety and stability The basis of operation.For operation of power networks, it is desirable that guarantee that frequency control near standard value, otherwise, will result in power generation and electricity consumption The damage of all kinds of establishings in side will further result in the collapse of frequency of system if causing a large amount of compressor emergency shutdowns, cause serious Large area blackout.
Important foundation means of the primary frequency modulation as power grid frequency modulation, accurate frequency modulation movement are conducive to be obviously improved power grid frequency Rate qualification rate improves power supply quality;Under the premise of having enough spare capacities and reflection speed, electricity can also be significantly improved Frequency stability when net reply burst accident impact, maintains frequency in controlled range, machine, the generation of cutting load are cut in reduction.
With deepening continuously for power market reform, the appraisal management difficulty of generator is increased after separating the factory and network.Due to throwing Entering primary frequency function will cause Adjusting system and the certain fluctuation of therrmodynamic system, and part electricity power enterprise only focuses on unit fortune Row stability cuts off primary frequency function for a long time or increases operating dead zone, so that the Primary frequency control ability of power grid is weakened, The quasi-steady state underfrequency for causing system after accident may cause low cycles unloading device movement, be unfavorable for the safety and stability of system Operation.Therefore, how in real time, accurately assess unit Primary frequency control ability, to supervise power plant keep generating set it is good Primary frequency modulation performance, and the primary frequency modulation level of the whole network, the running quality for increasing power grid and stability are grasped in real time with weight Want meaning.
Currently, the appraisal procedure of unit primary frequency modulation is divided into offline evaluation and online evaluation, offline evaluation is right at the scene Generating set carries out experiment test.Online evaluation is the data of frequency and active power output based on on-line monitoring, and it is real to calculate unit Chirp parameter in the operational process of border is more advantageous to the frequency modulation behavior of specification power plant.But there are indexs for existing appraisal procedure The problems such as system is unsound, only calculates isolated index, lacks the overall merit to unit is unfavorable for playing the excellent of online evaluation Point, it is difficult to the fm capacity of comprehensive control full electric network unit.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.
For this purpose, an object of the present invention is to provide a kind of, the unit primary frequency modulation performance based on combination weights method is comprehensive Appraisal procedure.This method makes assessment result more comprehensive, objective, reasonable, facilitates management and running department and analyzes power grid comprehensively In each unit primary frequency modulation performance, be managed and examine convenient for establishing database to it, be able to ascend supervision and evaluation Quality.
It is another object of the present invention to propose that a kind of unit primary frequency modulation performance based on combination weights method is comprehensive to comment Estimate system.
In order to achieve the above objectives, it is comprehensive to propose the unit primary frequency modulation performance based on combination weights method for one aspect of the present invention Appraisal procedure, comprising the following steps: establish unit primary frequency modulation evaluation index system, and assessed according to the unit primary frequency modulation Index system obtains initial assessment index;The initial assessment index is normalized, after obtaining normalized Final evaluation index;The final evaluation index is respectively adopted in the Delphi method and objective making decision method in subjective decision method CRITIC method calculated, to obtain the subjective weight and objective weight of the index;And it is calculated using least square method The subjective weight of the index and the comprehensive weight of objective weight, and according to the overall merit knot of comprehensive weight acquisition unit Fruit.
The unit primary frequency modulation performance comprehensive estimation method based on combination weights method of the embodiment of the present invention, by establishing Line database, can by the frequency modulation result real-time update of unit, can vertical and horizontal must analyze unit frequency modulation performance, help In the monitoring level for promoting dispatching of power netwoks, it can be obviously improved the operation and maintenance level of power plant, ensure power network safety operation.
In addition, the unit primary frequency modulation performance comprehensive assessment side according to the above embodiment of the present invention based on combination weights method Method can also have following additional technical characteristic:
It is optionally, in one embodiment of the invention, described to establish complete unit primary frequency modulation evaluation index system, Its described evaluation index includes: to adjust dead zone, difference coefficient, lag time and stablize time, contribution rate, throw ratio and positive positive motion Make one or more in rate.
Further, in one embodiment of the invention, the Delphi method is according to default field assessment result to institute It states final evaluation index and carries out feedback modifiers, to obtain the subjective weight, the CRITIC method is according to specific strength and evaluation The objective weight is determined based on conflicting between index.
Further, in one embodiment of the invention, if the initial assessment index is positive index a, normalizing Change formula are as follows:
Wherein, amaxIt is maximum value of each assessment object (unit) on index a, aminIt is each assessment object (unit) Minimum value on index a, for positive index, when a is optimal performance amaxWhen,It is 1;When a reaches worst performance amin When,It is 0;
amaxThe optimal performance of unit a in index is embodied, if one reference unit of setting, the index a of the reference unit With regard to as amaxMinimum value,
If the initial assessment index negative sense index, normalizes formula are as follows:
When a is optimal performance aminWhen,It is 1;When a reaches worst performance amaxWhen,It is 0;
aminOptimal performance of the unit on index a is embodied, if as soon as setting reference unit, the index a of reference unit make For aminMinimum value.
Further, in one embodiment of the invention, the calculation formula of the comprehensive weight are as follows:
W=[w1,w2,...wm]T
Wherein, W indicates comprehensive weight, wmIndicate m-th of index;
The assessment formula of the postitallation evaluation are as follows:
Wherein, wjIndicate j-th of expert, zijData matrix after indicating standardization.
In order to achieve the above objectives, another aspect of the present invention proposes a kind of unit primary frequency modulation based on combination weights method Energy integrated estimation system, comprising: module is established, for establishing unit primary frequency modulation evaluation index system, and according to the unit Primary frequency modulation evaluation index system obtains initial assessment index;Processing module, for carrying out normalizing to the initial assessment index Change processing, to obtain the final evaluation index after normalized;Module is obtained, for adopting respectively to the final evaluation index It is calculated with the CRITIC method in the Delphi method and objective making decision method in subjective decision method, to obtain the subjectivity of the index Weight and objective weight;And computing module, for calculating the subjective weight and objective power of the index using least square method The comprehensive weight of weight, and according to the comprehensive evaluation result of comprehensive weight acquisition unit.
The unit primary frequency modulation performance integrated estimation system based on combination weights method of the embodiment of the present invention, by establishing Line database, can by the frequency modulation result real-time update of unit, can vertical and horizontal must analyze unit frequency modulation performance, help In the monitoring level for promoting dispatching of power netwoks, it can be obviously improved the operation and maintenance level of power plant, ensure power network safety operation.
In addition, the unit primary frequency modulation performance comprehensive assessment system according to the above embodiment of the present invention based on combination weights method System can also have following additional technical characteristic:
Optionally, in one embodiment of the invention, it is described establish evaluation index described in module include: adjust it is dead It is one or more in area, difference coefficient, lag time and stable time, contribution rate, throw ratio and performance factor.
Further, in one embodiment of the invention, the Delphi method is according to default field assessment result to institute It states final evaluation index and carries out feedback modifiers, to obtain the subjective weight, the CRITIC method is according to specific strength and evaluation The objective weight is determined based on conflicting between index.
Further, in one embodiment of the invention, if the initial assessment index is positive index a, normalizing Change formula are as follows:
Wherein, amaxIt is maximum value of each assessment object (unit) on index a, aminIt is each assessment object (unit) Minimum value on index a, for positive index, when a is optimal performance amaxWhen,It is 1;When a reaches worst performance amin When,It is 0;
amaxThe optimal performance of unit a in index is embodied, if one reference unit of setting, the index a of the reference unit With regard to as amaxMinimum value,
If the initial assessment index negative sense index, normalizes formula are as follows:
When a is optimal performance aminWhen,It is 1;When a reaches worst performance amaxWhen,It is 0;
aminOptimal performance of the unit on index a is embodied, if as soon as setting reference unit, the index a of reference unit make For aminMinimum value.
Further, in one embodiment of the invention, the calculation formula of the comprehensive weight are as follows:
W=[w1,w2,...wm]T
Wherein, W indicates comprehensive weight, wmIndicate m-th of index;
The assessment formula of the postitallation evaluation are as follows:
Wherein, wjIndicate j-th of expert, zijData matrix after indicating standardization.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments Obviously and it is readily appreciated that, in which:
Fig. 1 is the unit primary frequency modulation performance comprehensive estimation method stream based on combination weights method according to the embodiment of the present invention Cheng Tu;
Fig. 2 is the unit primary frequency modulation appraisal procedure figure according to the embodiment of the present invention;
Fig. 3 is that power flow chart is assigned according to the Delphi of the embodiment of the present invention;
Fig. 4 is the unit primary frequency modulation performance integrated estimation system based on combination weights method according to the embodiment of the present invention Structural schematic diagram.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
The unit primary frequency modulation based on combination weights method proposed according to embodiments of the present invention is described with reference to the accompanying drawings Can comprehensive estimation method and system be described, describe to propose according to embodiments of the present invention first with reference to the accompanying drawings based on synthesis The unit primary frequency modulation performance comprehensive estimation method of enabling legislation.
Fig. 1 is the unit primary frequency modulation performance comprehensive estimation method stream based on combination weights method of one embodiment of the invention Cheng Tu.
As shown in Figure 1, should unit primary frequency modulation performance comprehensive estimation method based on combination weights method the following steps are included:
In step s101, unit primary frequency modulation evaluation index system is established, and according to unit primary frequency modulation evaluation index System obtains initial assessment index.
Optionally, in one embodiment of the invention, it establishes in complete unit primary frequency modulation evaluation index system and comments Estimating index includes: to adjust dead zone, difference coefficient, lag time and stablize in time, contribution rate, throw ratio and performance factor It is one or more.
Specifically, adjusting dead zone is to improve set steady, dead zone is set near rated speed, makes unit to frequency Minor fluctuations do not generate adjustment effect.For example, the unit dead zone size of rated speed 3000r/min is ± 2r/min, then machine Unit primary frequency modulation is failure to actuate when within the scope of group revolving speed 2998r/min~3002r/min.
Currently, the action signal of the big multi-configuration primary frequency modulation of the unit newly to put into operation can export dynamic when frequency exceeds dead zone Make signal, calculates the deviation of frequency and standard frequency at this time, the estimated value in dead zone is acquired with this.
εi=fi-fref (1)
Wherein, fiIt is the frequency of action moment, frefIt is standard frequency, generally 50Hz, εiIt is calculated dead zone.
Difference coefficient is during the frequency of generating set once adjusts, and the curve of output power and frequency relation claims For the power-frequency static characteristic of generating set, it can approximatively indicate that the tune that thus can calculate generator is poor with straight line Coefficient.
The calculation formula of difference coefficient:
Wherein, Δ f is the difference of the frequency before frequency adjusted and adjustment, unit Hz;Δ P is that unit adjusted has The difference of unit active power output before function power output and adjustment, unit MW;fnFor rated frequency, unit Hz;PnIt is specified fixed active Power, unit MW.
Lag time and to stablize time calculation formula as follows:
Unit reaction speed lag time TlagTo assess:
Tlag=Tp_begin-Tf_beyond (3)
Wherein, Tp_beginAt the time of variation takes place for active power output;Tf_beyondFor mains frequency be more than threshold value when It carves.Lag time is shorter, and the reaction for indicating that unit changes frequency is faster.
Unit is regulated the speed with stablizing time TstableTo assess:
Tstable=Tp_begin-TP_end (4)
In formula, Tp_beginAt the time of variation takes place for active power output;TP_endAfter the adjustment for generated power power output At the time of reaching new stationary value.The stable time is shorter, indicates that the speed of unit adjustment is faster.
Contribution rate K is the ratio of actual contribution electricity and theory contribution electricity, shown in expression formula such as formula (5):
Wherein, HiFor unit actual contributing electricity during the adjustment;HgFor unit theoretical contribution during the adjustment Electricity.
Shown in actual contributing electricity expression formula such as formula (6):
Wherein,t0At the time of being more than threshold value for mains frequency;ttAt the time of returning to threshold value for mains frequency, when maximum integrates Between be 1min, if it exceeds 1min then remembers according to 1min;PtFor the unit active power output of the t moment in integral process;P0For t0When Carve the active power output of unit.
Shown in theoretical contributing electricity expression formula such as formula (7):
Wherein, Δ f (t) is the mains frequency of t moment and the deviation of threshold value;fnFor rated frequency;δsetFor theoretic machine Difference coefficient examination value as defined in the setting value or power grid of group difference coefficient, generally takes 5%;PnFor rated active power.
It is as follows that unit primary frequency modulation operational percentage (moon) counts calculating formula:
It can be calculated with similar formula to count daily or annual primary frequency modulation operational percentage, it need to will formula above In related moon statistic be changed to relevant date or related year statistic.Primary frequency modulation to calculate full factory, certain power plant puts into operation Rate averages the primary frequency modulation operational percentage of each unit in the factory.
Shown in the calculation formula such as formula (9) of unit primary frequency modulation moon performance factor F:
In formula, fcorrectFor monthly correct action frequency;ftotalExceed threshold value for monthly frequency, what unit should act Number.It is generally believed that unit of the performance factor less than 40%, does not put into primary frequency function.
In step s 102, initial assessment index is normalized, to obtain the most final review after normalized Estimate index.
Further, in one embodiment of the invention, if initial assessment index is positive index a, public affairs are normalized Formula are as follows:
Wherein, amaxIt is maximum value of each assessment object (unit) on index a, aminIt is each assessment object (unit) Minimum value on index a, for positive index, when a is optimal performance amaxWhen,It is 1;When a reaches worst performance amin When,It is 0;
amaxThe optimal performance of unit a in index is embodied, if as soon as setting reference unit, the index a of reference unit make For amaxMinimum value,
If initial assessment index negative sense index, normalizes formula are as follows:
When a is optimal performance aminWhen,It is 1;When a reaches worst performance amaxWhen,It is 0;
aminOptimal performance of the unit on index a is embodied, if as soon as setting reference unit, the index a of reference unit make For aminMinimum value.
It should be noted that similarly for amin, optimal performance of the unit on index a is embodied, a ginseng can be set Burn-in group, the index a of reference unit can serve as possible maximum standard value, realize the normalized of index, All indexs are turned to the positive index between 0 to 1.
In step s 103, as shown in Fig. 2, to final evaluation index be respectively adopted Delphi method in subjective decision method and CRITIC method in objective making decision method is calculated, to obtain the subjective weight and objective weight of index.
Wherein, Delphi is a kind of expert consulting method, and target is to concentrate the suggestion of multidigit expert, obtains specific area Expert's assessment result is usually used in planning, plan, prediction and assessment etc..The characteristics of Delphi is to be solicited by way of anonymous specially The opinion of family, and constantly summarize as a result, carrying out feedback modifiers and obtain compellent conclusion so that expert opinion is gradually unified, It is prediction, the evaluation method of a kind of fixed guantity combining with fixed quality made an appraisal to evaluation object.
Further, in one embodiment of the invention, using the Delphi method and objective making decision in subjective decision method CRITIC method in method calculates separately, wherein Delphi method carries out final evaluation index according to default field assessment result anti- Feedback amendment, to obtain subjective weight, CRITIC method based on the conflicting between specific strength and evaluation index according to determining Objective weight.
For example, as shown in figure 3, Delphi method is a kind of subjective weights method since result depends on expertise, Specific in the assessment of primary frequency modulation, realization process is as follows.
1, expert group is determined, this directly determines the reasonability of the weights finally obtained.Under normal circumstances, it to select Select the expert 10-30 people or so for having practical work experience and deep theoretical preparation, it is ensured that it is to primary frequency modulation index weights Opinion is professional enough, has referential.
2, the primary frequency modulation assessment indicator system of above-mentioned foundation is issued into expert, expert is asked to set up weight to it.It is required that each The sum of weight is 1, and complete independently.
3, recycling is as a result, calculate the average and standard deviation of each weight.Expression is as follows:
Wherein, wi,jIt is the weighted value that j-th of expert provides i-th of index;M is expert's quantity;wiIt is i-th of index Weighted mean;δiIt is the standard deviation of i-th of index weights.
4, result is arranged and feeds back to expert, it is desirable that the last round of result of expert reference provides index weights again.
5,3-4 is repeated, consults expert opinion repeatedly, until the standard deviation of the weight obtained is less than certain threshold value, i.e. majority The conclusion of expert has reached unanimity, at this time weight of each mean value as index.
Specifically, CRITIC method is a kind of objective weight enabling legislation proposed by Diakoulaki.It is with two of data The objective weight of index is determined based on basic conception.First is that it indicates that the same each evaluation of programme of index takes to specific strength Value difference away from size, showed in the form of standard deviation, that is, standardize difference size show each scheme in same index The value gap of the size of value gap, the more big each scheme of standard deviation is bigger.Second is that the conflicting between evaluation index, index it Between conflicting be correlation between index based on, as having stronger positive correlation between two indices, illustrate two Index conflicting is lower.The conflicting quantizating index of i-th of index and other indexs isrijBe i-th of index and The related coefficient of j-th of index, m are index sums.
The objective weight of each index is to integrate measurement to specific strength and conflicting.If CiIndicate that j-th of evaluation refers to Included information content is marked, then CiIt can indicate are as follows:
Wherein, δiIt is the standard deviation of i-th of index.
CiBigger, the information content for illustrating that i-th of index includes is bigger, and objective weight is also bigger.
In step S104, using the subjective weight of least square method parameter and the comprehensive weight of objective weight, and The comprehensive evaluation result of unit is obtained according to comprehensive weight.
Further, in one embodiment of the invention, the calculation formula of comprehensive weight are as follows:
W=[w1,w2,...wm]T
Wherein, W indicates comprehensive weight, wmIndicate m-th of index;
The assessment formula of postitallation evaluation are as follows:
Wherein, wjIndicate j-th of expert, zijData matrix after indicating standardization.
Specifically, being obtained and above-mentioned the two the smallest comprehensive weight of weighted deviations under the meaning of least square.Enable benefit The subjective weight of the primary frequency modulation index obtained with Delphi method indicates are as follows:
U=[u1,u2,...um]T (15)
Enabling the objective weight of the primary frequency modulation index obtained using CRITIC method is indicated are as follows:
V=[v1,v2,...vm]T (16)
If comprehensive weight indicates are as follows:
W=[w1,w2,...wm]T (17)
If primary frequency modulation shares m evaluation index, n platform participates in evaluation and electing unit, then the data matrix after standardizing is Zn×m
Ideally, subjective and objective tax power result is the smaller the better apart from true result error, therefore establishes as follows most Small square law optimum organization evaluation model:
Model is as follows:
This model is solved below, establishes Langrange function
Partial derivative is asked to L:
It is expressed in matrix as
Wherein,
E=[1,1 ... 1]T
W=[w1,w2,...wm]T
Above-mentioned matrix is solved, is obtained
The weight of comprehensive evaluation index is obtained.
After obtaining weight, the embodiment of the present invention can be obtained by the primary frequency modulation comprehensive assessment result of each unit.
The unit primary frequency modulation performance comprehensive estimation method based on combination weights method proposed according to embodiments of the present invention leads to Cross and establish online database, can by the frequency modulation result real-time update of unit, can vertical and horizontal must analyze the frequency modulation of unit Performance facilitates the monitoring level for promoting dispatching of power netwoks, can be obviously improved the operation and maintenance level of power plant, ensures power grid security Stable operation.
The unit primary frequency modulation based on combination weights method proposed according to embodiments of the present invention is described referring next to attached drawing It can integrated estimation system.
Fig. 4 is the unit primary frequency modulation performance integrated estimation system based on combination weights method of one embodiment of the invention Structural schematic diagram.
As shown in figure 4, being somebody's turn to do the unit primary frequency modulation performance integrated estimation system 10 based on combination weights method includes: to establish mould Block 100, obtains module 300 and computing module 400 at processing module 200.
Wherein, module 100 is established for establishing unit primary frequency modulation evaluation index system, and is commented according to unit primary frequency modulation Assessment system obtains initial assessment index.Processing module 200 is for being normalized initial assessment index, to obtain Final evaluation index after normalized.Module 300 is obtained final evaluation index is respectively adopted in subjective decision method CRITIC method in Delphi method and objective making decision method is calculated, to obtain the subjective weight and objective weight of index.It calculates Module 400 is used for the comprehensive weight of subjective weight and objective weight using least square method parameter, and according to synthetic weights Recapture the comprehensive evaluation result for taking unit.The unit primary frequency modulation performance synthesis based on combination weights method of the embodiment of the present invention is commented Estimating system 10 makes assessment result more comprehensive, objective, reasonable, facilitates management and running department and analyzes each machine in power grid comprehensively The primary frequency modulation performance of group, is managed and examines convenient for establishing database to it, be able to ascend supervision and evaluation quality.
Optionally, in one embodiment of the invention, complete unit primary frequency modulation evaluation index system is established, is commented Estimating index includes: to adjust dead zone, difference coefficient, lag time and stablize in time, contribution rate, throw ratio and performance factor It is one or more.
Further, in one embodiment of the invention, Delphi method is according to default field assessment result to most final review Estimate index and carry out feedback modifiers, to obtain subjective weight, CRITIC method is according to the conflicting between specific strength and evaluation index Based on determine objective weight.
Further, in one embodiment of the invention, if initial assessment index is positive index a, public affairs are normalized Formula are as follows:
Wherein, amaxIt is maximum value of each assessment object (unit) on index a, aminIt is each assessment object (unit) Minimum value on index a, for positive index, when a is optimal performance amaxWhen,It is 1;When a reaches worst performance amin When,It is 0;
amaxThe optimal performance of unit a in index is embodied, if as soon as setting reference unit, the index a of reference unit make For amaxMinimum value,
If initial assessment index negative sense index, normalizes formula are as follows:
When a is optimal performance aminWhen,It is 1;When a reaches worst performance amaxWhen,It is 0;
aminOptimal performance of the unit on index a is embodied, if as soon as setting reference unit, the index a of reference unit make For aminMinimum value.
Further, in one embodiment of the invention, the calculation formula of comprehensive weight are as follows:
W=[w1,w2,...wm]T
Wherein, W indicates comprehensive weight, wmIndicate m-th of index;
The assessment formula of postitallation evaluation are as follows:
Wherein, wjIndicate j-th of expert, zijData matrix after indicating standardization.
It should be noted that aforementioned to the unit primary frequency modulation performance comprehensive estimation method embodiment based on combination weights method Explanation be also applied for the unit primary frequency modulation performance integrated estimation system based on combination weights method, it is no longer superfluous herein It states.
The unit primary frequency modulation performance integrated estimation system based on combination weights method proposed according to embodiments of the present invention leads to Cross and establish online database, can by the frequency modulation result real-time update of unit, can vertical and horizontal must analyze the frequency modulation of unit Performance facilitates the monitoring level for promoting dispatching of power netwoks, can be obviously improved the operation and maintenance level of power plant, ensures power grid security Stable operation.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or Implicitly include at least one this feature.In the description of the present invention, the meaning of " plurality " is at least two, such as two, three It is a etc., unless otherwise specifically defined.
In the present invention unless specifically defined or limited otherwise, term " installation ", " connected ", " connection ", " fixation " etc. Term shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or integral;It can be mechanical connect It connects, is also possible to be electrically connected;It can be directly connected, can also can be in two elements indirectly connected through an intermediary The interaction relationship of the connection in portion or two elements, unless otherwise restricted clearly.For those of ordinary skill in the art For, the specific meanings of the above terms in the present invention can be understood according to specific conditions.
In the present invention unless specifically defined or limited otherwise, fisrt feature in the second feature " on " or " down " can be with It is that the first and second features directly contact or the first and second features pass through intermediary mediate contact.Moreover, fisrt feature exists Second feature " on ", " top " and " above " but fisrt feature be directly above or diagonally above the second feature, or be merely representative of First feature horizontal height is higher than second feature.Fisrt feature can be under the second feature " below ", " below " and " below " One feature is directly under or diagonally below the second feature, or is merely representative of first feature horizontal height less than second feature.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples It closes and combines.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned Embodiment is changed, modifies, replacement and variant.

Claims (10)

1. a kind of unit primary frequency modulation performance comprehensive estimation method based on combination weights method, which is characterized in that including following step It is rapid:
Unit primary frequency modulation evaluation index system is established, and is initially commented according to the unit primary frequency modulation evaluation index system Estimate index;
The initial assessment index is normalized, to obtain the final evaluation index after normalized;
The final evaluation index is respectively adopted the CRITIC method in the Delphi method and objective making decision method in subjective decision method It is calculated, to obtain the subjective weight and objective weight of the index;And
The subjective weight of the index and the comprehensive weight of objective weight are calculated using least square method, and according to the synthetic weights Recapture the comprehensive evaluation result for taking unit.
2. the unit primary frequency modulation performance comprehensive estimation method according to claim 1 based on combination weights method, feature Be, it is described to establish complete unit primary frequency modulation evaluation index system, the evaluation index include: adjust dead zone, adjust it is poor It is one or more in coefficient, lag time and stable time, contribution rate, throw ratio and performance factor.
3. the unit primary frequency modulation performance comprehensive estimation method according to claim 1 based on combination weights method, feature It is, the Delphi method carries out feedback modifiers to the final evaluation index according to default field assessment result, to obtain Subjective weight is stated, the CRITIC method is according to described objective to determine based on the conflicting between specific strength and evaluation index Weight.
4. the unit primary frequency modulation performance comprehensive estimation method according to claim 1 based on combination weights method, feature It is, if the initial assessment index is positive index a, normalizes formula are as follows:
Wherein, amaxIt is maximum value of each assessment object on index a, aminIt is minimum of each assessment object on index a Value, for positive index, when a is optimal performance amaxWhen,It is 1;When a reaches worst performance aminWhen,It is 0;
amaxThe optimal performance of unit a in index is embodied, if as soon as setting reference unit, the index a of the reference unit make For amaxMinimum value,
If the initial assessment index negative sense index, normalizes formula are as follows:
When a is optimal performance aminWhen,It is 1;When a reaches worst performance amaxWhen,It is 0;
aminOptimal performance of the unit on index a is embodied, if as soon as setting reference unit, the index a conduct of reference unit aminMinimum value.
5. the unit primary frequency modulation performance comprehensive assessment side according to claim 1-4 based on combination weights method Method, which is characterized in that wherein,
The calculation formula of the comprehensive weight are as follows:
W=[w1,w2,...wm]T
Wherein, W indicates comprehensive weight, wmIndicate m-th of index;
The assessment formula of the postitallation evaluation are as follows:
Wherein, wjIndicate j-th of expert, zijData matrix after indicating standardization.
6. a kind of unit primary frequency modulation performance integrated estimation system based on combination weights method characterized by comprising
Module is established, for establishing unit primary frequency modulation evaluation index system, and according to the unit primary frequency modulation evaluation index System obtains initial assessment index;
Processing module, for the initial assessment index to be normalized, to obtain the most final review after normalized Estimate index;
Obtain module, Delphi method and objective making decision method for the final evaluation index being respectively adopted in subjective decision method In CRITIC method calculated, to obtain the subjective weight and objective weight of the index;And
Computing module, for calculating the subjective weight of the index and the comprehensive weight of objective weight using least square method, and The comprehensive evaluation result of unit is obtained according to the comprehensive weight.
7. the unit primary frequency modulation performance integrated estimation system according to claim 6 based on combination weights method, feature It is, described to establish module, the evaluation index includes: to adjust dead zone, difference coefficient, lag time and stablize time, tribute It offers one or more in rate, throw ratio and performance factor.
8. the unit primary frequency modulation performance integrated estimation system according to claim 6 based on combination weights method, feature It is, the Delphi method carries out feedback modifiers to the final evaluation index according to default field assessment result, to obtain Subjective weight is stated, the CRITIC method is according to described objective to determine based on the conflicting between specific strength and evaluation index Weight.
9. the unit primary frequency modulation performance integrated estimation system according to claim 6 based on combination weights method, feature It is, if the initial assessment index is positive index a, normalizes formula are as follows:
Wherein, amaxIt is maximum value of each assessment object on index a, aminIt is minimum of each assessment object on index a Value, for positive index, when a is optimal performance amaxWhen,It is 1;When a reaches worst performance aminWhen,It is 0;
amaxThe optimal performance of unit a in index is embodied, if as soon as setting reference unit, the index a of the reference unit make For amaxMinimum value,
If the initial assessment index negative sense index, normalizes formula are as follows:
When a is optimal performance aminWhen,It is 1;When a reaches worst performance amaxWhen,It is 0;
aminOptimal performance of the unit on index a is embodied, if as soon as setting reference unit, the index a conduct of reference unit aminMinimum value.
10. according to the described in any item unit primary frequency modulation performance comprehensive assessment systems based on combination weights method of claim 6-9 System, which is characterized in that wherein,
The calculation formula of the comprehensive weight are as follows:
W=[w1,w2,...wm]T
Wherein, W indicates comprehensive weight, wmIndicate m-th of index;
The assessment formula of the postitallation evaluation are as follows:
Wherein, wjIndicate j-th of expert, zijData matrix after indicating standardization.
CN201910063484.7A 2019-01-23 2019-01-23 Unit primary frequency modulation performance comprehensive estimation method and system based on combination weights method Pending CN109784742A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910063484.7A CN109784742A (en) 2019-01-23 2019-01-23 Unit primary frequency modulation performance comprehensive estimation method and system based on combination weights method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910063484.7A CN109784742A (en) 2019-01-23 2019-01-23 Unit primary frequency modulation performance comprehensive estimation method and system based on combination weights method

Publications (1)

Publication Number Publication Date
CN109784742A true CN109784742A (en) 2019-05-21

Family

ID=66501147

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910063484.7A Pending CN109784742A (en) 2019-01-23 2019-01-23 Unit primary frequency modulation performance comprehensive estimation method and system based on combination weights method

Country Status (1)

Country Link
CN (1) CN109784742A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111177650A (en) * 2019-12-18 2020-05-19 国网浙江省电力有限公司绍兴供电公司 Power quality monitoring and comprehensive evaluation system and method for power distribution network
CN111523818A (en) * 2020-04-28 2020-08-11 国网江西省电力有限公司电力科学研究院 Thermal power generating unit primary frequency modulation performance evaluation method based on test information
CN111932081A (en) * 2020-07-13 2020-11-13 国网福建省电力有限公司 Method and system for evaluating running state of power information system
CN112149903A (en) * 2020-09-22 2020-12-29 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 Primary frequency modulation analysis and optimization method of thermal power generating unit based on BP neural network algorithm
CN113177705A (en) * 2021-04-23 2021-07-27 天津大学 Evaluation method and device for miniature photovoltaic or wind energy collector
CN114444917A (en) * 2022-01-21 2022-05-06 清华大学 Fire-fighting airplane putting effect evaluation method and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102522775A (en) * 2011-12-22 2012-06-27 清华大学 AGG (automatic gain control) unit performance adjustment online evaluation method based on WAMS (wide area measurement system)
CN104965983A (en) * 2015-06-25 2015-10-07 国家电网公司 Comprehensive evaluation method for dynamic performance of excitation system
CN106300389A (en) * 2016-08-22 2017-01-04 国家电网公司 A kind of integrated evaluating method of generating set primary frequency regulation performance

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102522775A (en) * 2011-12-22 2012-06-27 清华大学 AGG (automatic gain control) unit performance adjustment online evaluation method based on WAMS (wide area measurement system)
CN104965983A (en) * 2015-06-25 2015-10-07 国家电网公司 Comprehensive evaluation method for dynamic performance of excitation system
CN106300389A (en) * 2016-08-22 2017-01-04 国家电网公司 A kind of integrated evaluating method of generating set primary frequency regulation performance

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黄廷城等: "基于AHP-熵权法的配电网用电可靠性综合评估", 《广东电力》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111177650A (en) * 2019-12-18 2020-05-19 国网浙江省电力有限公司绍兴供电公司 Power quality monitoring and comprehensive evaluation system and method for power distribution network
CN111177650B (en) * 2019-12-18 2023-11-10 国网浙江省电力有限公司绍兴供电公司 Power quality monitoring and comprehensive evaluation system and method for power distribution network
CN111523818A (en) * 2020-04-28 2020-08-11 国网江西省电力有限公司电力科学研究院 Thermal power generating unit primary frequency modulation performance evaluation method based on test information
CN111523818B (en) * 2020-04-28 2022-12-09 国网江西省电力有限公司电力科学研究院 Thermal power generating unit primary frequency modulation performance evaluation method based on test information
CN111932081A (en) * 2020-07-13 2020-11-13 国网福建省电力有限公司 Method and system for evaluating running state of power information system
CN112149903A (en) * 2020-09-22 2020-12-29 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 Primary frequency modulation analysis and optimization method of thermal power generating unit based on BP neural network algorithm
CN113177705A (en) * 2021-04-23 2021-07-27 天津大学 Evaluation method and device for miniature photovoltaic or wind energy collector
CN114444917A (en) * 2022-01-21 2022-05-06 清华大学 Fire-fighting airplane putting effect evaluation method and system
CN114444917B (en) * 2022-01-21 2022-09-13 清华大学 Fire-fighting airplane putting effect evaluation method and system

Similar Documents

Publication Publication Date Title
CN109784742A (en) Unit primary frequency modulation performance comprehensive estimation method and system based on combination weights method
CN107341349B (en) Method and system for evaluating health of fan, memory and controller
CN101931241B (en) Wind farm grid-connected coordination control method
CN104952000A (en) Wind turbine operating state fuzzy synthetic evaluation method based on Markov chain
CN102394496B (en) Electric energy quality comprehensive assessment method of distributed generating system and micro power grid
CN106505635B (en) Active scheduling model and scheduling system with minimum wind abandon
CN109409702A (en) A kind of operation of power networks index analysing system
CN110097197A (en) A kind of power grid security various dimensions appraisal procedure and system
CN107482692B (en) Active control method, device and system for wind power plant
CN108874733A (en) A kind of large-scale half direct-drive unit health state evaluation method
CN109713671A (en) Power distribution station O&M method, system, storage medium and electronic equipment
CN114243709A (en) Scheduling operation method capable of adjusting resource layering and grading at demand side
CN108304931A (en) A kind of Condition-based Maintenance of Substation Equipment method for diagnosing faults
CN115514100A (en) Hybrid energy storage system based on multi-element energy storage and control
CN106600130A (en) Fuzzy neural network model-based independent microgrid security analysis method
CN110033181B (en) Power generation equipment state evaluation method based on self-encoder
CN113128005B (en) Power grid node clustering and frequency safety analysis method and system based on dynamic characteristics
CN107122599A (en) A kind of thermal storage electric boiler is dissolved in real time abandons the appraisal procedure that wind abandons optical quantum ability
CN108288122B (en) Assessment method and device of multi-region interconnection system
CN115983664A (en) Comprehensive evaluation method for trading effect of energy storage participation in electric power market based on fuzzy analysis
CN110071522B (en) Primary frequency modulation comprehensive performance evaluation method
CN104574203B (en) A kind of real-time generation schedule and its closed-loop control analysis and assessment method
CN114282746A (en) Distribution network form support degree index evaluation method
CN112865083A (en) Real-time running state evaluation method for power system containing high-proportion renewable energy
CN112529369A (en) Medium-voltage distribution network line loss key characteristic index extraction method and system

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190521