CN108198092A - A kind of Power Generation competitiveness integrated evaluating method - Google Patents
A kind of Power Generation competitiveness integrated evaluating method Download PDFInfo
- Publication number
- CN108198092A CN108198092A CN201810036642.5A CN201810036642A CN108198092A CN 108198092 A CN108198092 A CN 108198092A CN 201810036642 A CN201810036642 A CN 201810036642A CN 108198092 A CN108198092 A CN 108198092A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- index
- electing
- level
- power generation
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Landscapes
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of Power Generation competitiveness integrated evaluating methods for belonging to GENERATION MARKET transaction field, include the following steps：S1 combination Competitiveness of Generation Enterprises influence factors build a set of index system for overall merit Power Generation competitiveness, and establish the level that participates in evaluation and electing associated in participate in evaluation and electing enterprise and index system；S2 carries out the assignment of subjective weight to having built all indexs to participate in evaluation and electing in index system in level from subjective point with Analytic hierarchy process；The assignment that S3 takes entropy assessment to carry out objective weight to having built all indexs to participate in evaluation and electing in index system in level from objective angle；After combining each enterprise's combining weights are calculated, and make a choice from the enterprise that participates in evaluation and electing according to combining weights in the objective weight that the subjective weight and entropy assessment that S4 is obtained according to subjective estimate method obtain.The present invention is for preferential this important reform point of power generation system is established, and carrying out rationally perfect evaluation to the Power Generation with entry criteria sorts, and the development for future electrical energy market is offered reference.
Description
Technical field
The present invention relates to GENERATION MARKET transaction field, specially a kind of Power Generation competitiveness integrated evaluating methods.
Background technology
According to the auxiliary file that new electricity changes, in Generation Side mechanism of permitting the entrance part, the preferential power generation system of establishment, which is important, to be changed
Point is removed from office, it is contemplated that the regulation in auxiliary file for mechanism of permitting the entrance does not refine to specific targets, in addition electricity market
Development need for a period of time, the open ended Power Generation quantity of electricity market is limited, and can be with the hair of electricity market
It opens up and gradually increases.It is required for carrying out evaluation sequence to the Power Generation with entry criteria in different phase, according to the current generation
Market can accommodate quantity these Power Generations are screened.
Thus, the access assessment indicator system of Generation Side is established, here mainly on the basis of table stakes
On, consider the competitiveness of electricity power enterprise.Competitiveness is in very important position, with electricity power enterprise in electricity power enterprise's development
Competitiveness can be described as evaluation basis to the reasonable perfect of mechanism of permitting the entrance, therefore, competing in order to preferably evaluate electricity power enterprise
Striving power needs to combine Competitiveness of Generation Enterprises influence factor, considers the internal and external environment of electricity power enterprise's development, establishing influences power generation
The assessment indicator system of quotient's synthesized competitiveness, more preferably Power Generation enters electricity transaction market to preferential selection evaluation result.
Invention content
The problem of according to proposed in background technology, the present invention propose a kind of Power Generation competitiveness integrated evaluating method,
It is characterized in that, includes the following steps：
S1. Competitiveness of Generation Enterprises influence factor is combined, builds a set of index for overall merit Power Generation competitiveness
System, and establish the level that participates in evaluation and electing associated in participate in evaluation and electing enterprise and index system；
S2. it is carried out to having built all indexs to participate in evaluation and electing in index system in level from subjective point with Analytic hierarchy process
The assignment of subjective weight；
S3 takes entropy assessment progress objective to having built all indexs to participate in evaluation and electing in index system in level from objective angle
The assignment of weight；
S4. the objective weight that the subjective weight and entropy assessment obtained according to subjective estimate method obtains is calculated after combining
Each enterprise's combining weights, and made a choice from the enterprise that participates in evaluation and electing according to combining weights.
Include the following steps again in the S1：
S1-1. the first level of Power Generation competitiveness overall evaluation system is built；
S1-2. the second level of Power Generation competitiveness overall evaluation system is built, and the index in the second level is done and is had
Body paraphrase；
S1-3. the level that participates in evaluation and electing associated in participate in evaluation and electing enterprise and index system is established.
Include the following steps again in the S2：
S2-1. nine points of position ratios are introduced, scale is carried out to the n index to participate in evaluation and electing in level；
S2-2. judgment matrix is established according to scale；And matrix meets：
aij>0,aii=1, aij=1/aji(i, j=1,2 ..., n)；
S2-3. the subjective weight of each index in the level that participates in evaluation and electing described in calculating：
Subjective weight=(a of index ii1/b1+ai2/b2+……+ain/bn)/n
Wherein, (i=1,2 ..., n).
Include the following steps again in the S3：
S3-1. index initial data is collected, and is standardized, thus obtains standardized index vector：
Wherein, n is the number of index, and m is the number of enterprise to be evaluated, (i=1,2 ..., n), (b=1,2 ..., m)；
S3-2. the uncertainty H (y of each index are calculatedi), formula is as follows：
In formula,
S3-3. the comentropy e (y of each index are calculatedi), formula is as follows：
In formula, 0≤e (yi)≤1；
S3-4. the objective weight μ of each index is calculatedi, formula is as follows：
In formula, 0≤μi≤1,μiRepresent objective weight vector, ∑ μi=1.
Include the following steps again in the S4：
S4-1. the combining weights of each index are calculated, the method for combination weighting uses linear weighted combination method；Its
Calculation formula is：
θi=α wi+(1-α)μi
In formula, θiFor the weight vectors of i-th of two-level index, and ∑ θi=1；wiRepresent subjective weight vectors；α represents master
See tax power method significance level, and α=∑ wi, 0≤α≤1；
S4-2. opinion rating evaluation is carried out to the enterprise that participates in evaluation and electing according to result of calculation.
Beneficial effects of the present invention are：For preferential this important reform point of power generation system is established, to entry criteria
Power Generation carry out rationally perfect evaluation sequence, the further development for future electrical energy market is offered reference.
Description of the drawings
Fig. 1 is a kind of flow chart of Power Generation competitiveness evaluation method embodiment of the present invention.
Specific embodiment
Technical scheme of the present invention is described in further detail below in conjunction with Figure of description；The implementation of the present invention
Example instructs the competition of following Power Generation and the development of GENERATION MARKET for 6 Power Generation competitiveness evalua- tions difference with this,
Specific implementation step is：
S1. Competitiveness of Generation Enterprises influence factor is combined, builds a set of index for overall merit Power Generation competitiveness
System, and establish the level that participates in evaluation and electing associated in participate in evaluation and electing enterprise and index system；With reference to Competitiveness of Generation Enterprises influence because
Element considers the internal and external environment of electricity power enterprise's development, and based on four market, policy, inside and safety aspects to sale of electricity public affairs
The risk that taking charge of may face is combed, and is constructed a set of including several levels and for Power Generation competitiveness overall merit
Index system, and include the following steps：
S1-1. the first level of Power Generation competitiveness overall evaluation system is built；It is commented for the synthesis of Power Generation competitiveness
Valency index system changes Generation Side entry criteria with reference to new electricity, considers to comprehensive system to influence Power Generation competitiveness overall merit
Factor, carries out mechanism of permitting the entrance perfect, is mainly built from the pattern of enterprises, corporate resources, business administration and Enterprise Performance four dimensions
The evaluation index of vertical first level, that is, the first level of Power Generation competitiveness overall target appraisement system；
S1-2. the second level of Power Generation competitiveness overall evaluation system is built, and the index in the second level is done and is had
Body paraphrase；Specifically include following two-level index：National equity accounting, independent director's accounting, flow running efficiency, installed capacity,
Assets total amount, occupation rate of market, generated energy, electricity volume, power generation hourage, labor productivity, net assets income ratio, assets
Debt ratio；
In first level in each index and the second level the correspondence of each index and each index of the second level and its
Corresponding paraphrase is as shown in table 1；
1 Power Generation competitive power appraisal target system of table and the meaning of two-level index in index system
S1-3. the level that participates in evaluation and electing associated in participate in evaluation and electing enterprise and index system is established；
The enterprise that participates in evaluation and electing in the present embodiment is：This 6 enterprises of enterprise A, enterprise B, enterprise C, enterprise D, enterprise E and enterprise F
Industry, the level that participates in evaluation and electing are the second level.
S2. it is carried out to having built all indexs in certain level in index system from subjective point with Analytic hierarchy process
Subjective weight assignment；Include the following steps again：
S2-1. nine points of position ratios are introduced, scale is carried out to the n index in level that participate in evaluation and electing；, meaning is shown in Table 1；
1 index relative importance ratio of table
Certainly, it between judge index during relative importance, can also choose in 8,6,4,2,1/2,1/4,1/6,1/8 etc.
Between be worth；
S2-2. judgment matrix is established according to scale；
After giving a mark item by item to the relative importance of n index in the level that participates in evaluation and electing according to nine points of bit comparison scales, establish and judge
Matrix.Matrix the first row and first row represent the corresponding index of 1~n of index, the neutral element a of matrixijRepresent index i and index
The relative importance of j.Judgment matrix is as shown in table 2.
2 judgment matrix of table
It can easily be seen that the n ranks matrix is positive reciprocal matrix, and matrix meets：
aij>0,aii=1, aij=1/aji(i, j=1,2 ..., n)
S2-3. the subjective weight of each index is calculated：
There are four types of the methods that subjective weight is calculated in Analytic hierarchy process：Geometric average method, arithmetic mean method, feature vector
Method, least square method, here using the subjective weight of arithmetic mean method citing parameter i, by the corresponding each rower of each row
Degree is added summation, is as a result denoted as bj, i.e. bj=aij+a2j+……+anj, then each scale difference of the i-th row divided by the row is corresponding
And bj, respectively arrange obtained quotient's addition and average again, obtained result is exactly the weight of index i, i.e.,：
Subjective weight=(a of index ii1/b1+ai2/b2+……+ain/bn)/n
According to above-mentioned formula, the subjective weight of each two-level index in the second level of the present embodiment is calculated, is specifically shown in Table 3：
3 two-level index subjectivity weight of table summarizes
S3 takes entropy assessment to carry out objective power to having built all indexs in index system in certain level from objective angle
The assignment of weight；Since the influence of factor and individual subjective factor can cause weight large effect, and objective weighted model can exclude
Human interference, so we also need to that objective weighted model is taken to carry out assigning power again to each index of same level in S2, to subtract
Few man-induced fluctuations factor, therefore entropy assessment is taken to carry out assigning power again to all enterprises (m) that participate in evaluation and electing from objective angle；Entropy assessment
Advantage is to define the value of its data and objective weight from data dispersion degree in itself completely, it is hereby achieved that phase
To objective result；It is divided into as step is calculated as below：
S3-1. index initial data is collected, and is standardized, thus obtains standardized index vector：
Wherein, n is the number of index, and m is the number of enterprise to be evaluated, (i=1,2 ..., n), (b=1,2 ..., m)；
According to S3-1, each two level in the second level is calculated in the present embodiment in this 6 electricity power enterprises of enterprise A~enterprise F
The standardized data of index, as shown in table 4：
4 standardized data of table
| Standardized data | Enterprise A | Enterprise B | Enterprise C | Enterprise D | Enterprise E | Enterprise F |
| National equity accounting | 15.43541 | 15.04141 | 11.02112 | 17.06614 | 18.69323 | 22.74269 |
| Independent director's accounting | 16.21622 | 20.27027 | 10.81081 | 17.56757 | 18.91892 | 16..21622 |
| Flow running efficiency | 17.32283 | 16.14173 | 14.76378 | 17.91339 | 16.73228 | 17.12598 |
| Installed capacity | 17.40212 | 13.86546 | 10.74519 | 18.53775 | 27.08198 | 12.36751 |
| Assets total amount | 18.78107 | 11.85799 | 9.053254 | 21.08876 | 23.50296 | 15.71598 |
| Occupation rate of market | 19.46903 | 7.964602 | 13.27434 | 24.77876 | 27.43363 | 7.079646 |
| Generated energy | 18.81307 | 15.60548 | 9.478616 | 28.17155 | 12.02547 | 15.90581 |
| Electricity volume | 18.06821 | 15.5949 | 9.11221 | 28.87269 | 11.72872 | 16.62328 |
| Generate electricity hourage | 18.77701 | 16.04019 | 16.85301 | 14.59977 | 17.83387 | 15.89615 |
| Labor productivity | 15.62897 | 18.4244 | 19.18679 | 16.77255 | 14.86658 | 15.12071 |
| Net assets income ratio | 27.90698 | 11.62791 | 2.325581 | 9.302326 | 27.90698 | 20.93023 |
| Asset-liability ratio | 10.16949 | 21.18644 | 26.27119 | 11.866441 | 9.32034 | 21.18644 |
S3-2. the uncertainty H (y of each index are calculatedi), formula is as follows：
In formula,
S3-3. the comentropy e (y of each index are calculatedi), formula is as follows：
In formula, 0≤e (yi)≤1。
S3-4. the objective weight μ of each index is calculatedi, formula is as follows：
In formula, 0≤μi≤1,μiRepresent objective weight vector, ∑ μi=1.
According to S3-2 to S3-4, the objective weight μ of each two-level index standardized data in the present embodiment is calculatediSuch as table 5
It is shown：
The objective weight of 5 two-level index of table
S4. the objective weight that the subjective weight and objective evaluation obtained according to subjective estimate method obtains calculates after combining
It obtains each enterprise's combining weights, and is made a choice, and include the following steps from the enterprise that participates in evaluation and electing according to combining weights：
S4-1. the combining weights of each index are calculated, the method for combination weighting uses linear weighted combination method；Its
Calculation formula is：
θi=α wi+(1-α)μi
In formula, θiFor the weight vectors of i-th of two-level index, and ∑ θi=1；wiRepresent subjective weight vectors；α represents master
See tax power method significance level, and α=∑ wi, 0≤α≤1；
S4-2. opinion rating evaluation is carried out to the enterprise that participates in evaluation and electing according to result of calculation：
Respective standard data accumulation is multiplied by according to combining weights to obtain finally evaluating data, to each in the enterprise that participates in evaluation and electing
Power Generation carries out grade sequence, and the enterprise for enabling competitiveness optimal enters electric power over-the-counter-market；
In the present embodiment, based on the weight coefficient of each index in the second level, according to S4-2, (combining weights are multiplied by accordingly
Standardized data adds up, α=0.5), the comprehensive evaluation results of 6 enterprises that participate in evaluation and electing (Power Generation) is acquired, the table is as follows：
7 Power Generation comprehensive evaluation result of table
| Evaluation result | Enterprise A | Enterprise B | Enterprise C | Enterprise D | Enterprise E | Enterprise F |
| Comprehensive score | 18.95694 | 14.29761 | 11.83392 | 18.46117 | 20.09882 | 16.35153 |
| Ranking results | 2 | 5 | 6 | 3 | 1 | 4 |
According to evaluation result it is found that the final access evaluation result of six electricity power enterprises is：A ＞ enterprises of E ＞ enterprises of enterprise
D ＞ enterprises F industry ＞ enterprise B ＞ enterprise C, that is, enterprise's E competitiveness are optimal, and selecting evaluation result, more preferably enterprise E enters electric power
Over-the-counter-market.
Claims (5)
1. a kind of Power Generation competitiveness integrated evaluating method, which is characterized in that include the following steps：
S1. Competitiveness of Generation Enterprises influence factor is combined, builds a set of index system for overall merit Power Generation competitiveness,
And establish the level that participates in evaluation and electing associated in participate in evaluation and electing enterprise and index system；
S2. to having built all indexs to participate in evaluation and electing in index system in level from subjective point subjective power is carried out with Analytic hierarchy process
The assignment of weight；
S3. entropy assessment is taken to carry out objective weight from objective angle to having built all indexs to participate in evaluation and electing in index system in level
Assignment；
S4. each enterprise is calculated after combining in the objective weight that the subjective weight and entropy assessment obtained according to subjective estimate method obtains
Combining weights, and made a choice from the enterprise that participates in evaluation and electing according to combining weights.
2. a kind of Power Generation competitiveness integrated evaluating method according to claim 1, which is characterized in that wrapped again in the S1
Include following steps：
S1-1. the first level of Power Generation competitiveness overall evaluation system is built；
S1-2. the second level of Power Generation competitiveness overall evaluation system is built, and the index in the second level is done and is specifically released
Justice；
S1-3. the level that participates in evaluation and electing associated in participate in evaluation and electing enterprise and index system is established.
3. a kind of Power Generation competitiveness integrated evaluating method according to claim 1, which is characterized in that wrapped again in the S2
Include following steps：
S2-1. nine points of position ratios are introduced, scale is carried out to the n index to participate in evaluation and electing in level；
S2-2. judgment matrix is established according to scale；And matrix meets：
aij>0,aii=1, aij=1/aji(i, j=1,2 ..., n)；
S2-3. the subjective weight of each index in the level that participates in evaluation and electing described in calculating：
Subjective weight=(a of index ii1/b1+ai2/b2+……+ain/bn)/n
Wherein, (i=1,2 ..., n).
4. a kind of Power Generation competitiveness integrated evaluating method according to claim 1, which is characterized in that wrapped again in the S3
Include following steps：
S3-1. index initial data is collected, and is standardized, thus obtains standardized index vector：
Wherein, n is the number of index, and m is the number of enterprise to be evaluated, (i=1,2 ..., n), (b=1,2 ..., m)；
S3-2. the uncertainty H (y of each index are calculatedi), formula is as follows：
In formula,
S3-3. the comentropy e (y of each index are calculatedi), formula is as follows：
In formula, 0≤e (yi)≤1；
S3-4. the objective weight μ of each index is calculatedi, formula is as follows：
In formula, 0≤μi≤1,μiRepresent objective weight vector, ∑ μi=1.
5. a kind of Power Generation competitiveness integrated evaluating method according to claim 1, which is characterized in that wrapped again in the S4
Include following steps：
S4-1. the combining weights of each index are calculated, the method for combination weighting uses linear weighted combination method；It calculates public
Formula is：
θi=α wi+(1-α)μi
In formula, θiFor the weight vectors of i-th of two-level index, and ∑ θi=1；wiRepresent subjective weight vectors；α represents subjective tax
Power method significance level, and α=∑ wi, 0≤α≤1；
S4-2. opinion rating evaluation is carried out to the enterprise that participates in evaluation and electing according to result of calculation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810036642.5A CN108198092A (en) | 2018-01-15 | 2018-01-15 | A kind of Power Generation competitiveness integrated evaluating method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810036642.5A CN108198092A (en) | 2018-01-15 | 2018-01-15 | A kind of Power Generation competitiveness integrated evaluating method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108198092A true CN108198092A (en) | 2018-06-22 |
Family
ID=62589558
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810036642.5A Pending CN108198092A (en) | 2018-01-15 | 2018-01-15 | A kind of Power Generation competitiveness integrated evaluating method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108198092A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108876656A (en) * | 2018-06-27 | 2018-11-23 | 中国水利水电科学研究院 | A kind of evaluation method of industry water competitiveness |
| CN110717666A (en) * | 2019-09-30 | 2020-01-21 | 上海上实龙创智慧能源科技股份有限公司 | Market competitiveness evaluation method for enterprise products |
| CN111563652A (en) * | 2020-03-31 | 2020-08-21 | 国网山东省电力公司经济技术研究院 | Method for evaluating power grid enterprise comprehensive plan execution condition |
| CN112598228A (en) * | 2020-12-07 | 2021-04-02 | 深圳价值在线信息科技股份有限公司 | Enterprise competitiveness analysis method, device, equipment and storage medium |
| CN113947281A (en) * | 2021-09-09 | 2022-01-18 | 西华大学 | Urban rail transit equipment manufacturing industry cluster competitiveness evaluation method |
-
2018
- 2018-01-15 CN CN201810036642.5A patent/CN108198092A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108876656A (en) * | 2018-06-27 | 2018-11-23 | 中国水利水电科学研究院 | A kind of evaluation method of industry water competitiveness |
| CN110717666A (en) * | 2019-09-30 | 2020-01-21 | 上海上实龙创智慧能源科技股份有限公司 | Market competitiveness evaluation method for enterprise products |
| CN111563652A (en) * | 2020-03-31 | 2020-08-21 | 国网山东省电力公司经济技术研究院 | Method for evaluating power grid enterprise comprehensive plan execution condition |
| CN112598228A (en) * | 2020-12-07 | 2021-04-02 | 深圳价值在线信息科技股份有限公司 | Enterprise competitiveness analysis method, device, equipment and storage medium |
| CN112598228B (en) * | 2020-12-07 | 2023-09-22 | 深圳价值在线信息科技股份有限公司 | Enterprise competitiveness analysis method, device, equipment and storage medium |
| CN113947281A (en) * | 2021-09-09 | 2022-01-18 | 西华大学 | Urban rail transit equipment manufacturing industry cluster competitiveness evaluation method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108198092A (en) | A kind of Power Generation competitiveness integrated evaluating method | |
| CN108565900B (en) | Distributed energy optimization operation method based on game theory | |
| Lu et al. | A closer look at the economic-environmental disparities for regional development in China | |
| Li et al. | Shift-based density estimation for Pareto-based algorithms in many-objective optimization | |
| Omrani et al. | Performance assessment of Iranian electricity distribution companies by an integrated cooperative game data envelopment analysis principal component analysis approach | |
| Hang et al. | Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities | |
| Zhou et al. | Ranking vectors by means of the dominance degree matrix | |
| CN109993414A (en) | A kind of appraisal procedure, device and the storage medium of electric power enterprise innovation and development | |
| CN112103988B (en) | Method for establishing cluster division double-layer model combined with network reconstruction | |
| CN107248029A (en) | A kind of multi-target improvement differential evolution model of Land use structure type | |
| Li et al. | An improved multiobjective estimation of distribution algorithm for environmental economic dispatch of hydrothermal power systems | |
| CN112766800A (en) | Urban green traffic system evaluation method based on fuzzy analytic hierarchy process | |
| Huang et al. | Water, energy, and food nexus efficiency in China: a provincial assessment using a three-stage data envelopment analysis model | |
| CN110111001B (en) | Site selection planning method, device and equipment for electric vehicle charging station | |
| CN106156950A (en) | A kind of active distribution network economical operation evaluation methodology based on Hypersphere Support Vector Machine | |
| CN108122077A (en) | A kind of water environment safety evaluation method and device | |
| Samal et al. | Simultaneous capacitor allocation and conductor sizing in unbalanced radial distribution systems using differential evolution algorithm | |
| CN107609730A (en) | A kind of method being classified based on AHP Fuzzy Evaluation Methods to sale of electricity company | |
| CN109615246B (en) | Method for determining economic operation state of active power distribution network | |
| CN111445161A (en) | Electric vehicle charging pile benefit risk assessment method based on risk value | |
| He et al. | Biobjective optimization-based frequency regulation of power grids with high-participated renewable energy and energy storage systems | |
| CN108182511A (en) | It is a kind of based on Demand Side Response reserve value assessment method of the sum of ranks than method | |
| CN108764737A (en) | The assessment of economic benefit method and device of industrial park user side battery energy storage system | |
| Pachayappan et al. | Hybrid genetic algorithm for machine-component cell formation | |
| Yin et al. | Using cv-critic to determine weights for smart city evaluation |
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: 20180622 |