CN111915222A - Spatial domain multi-voltage level power quality level ranking evaluation method - Google Patents
Spatial domain multi-voltage level power quality level ranking evaluation method Download PDFInfo
- Publication number
- CN111915222A CN111915222A CN202010836143.1A CN202010836143A CN111915222A CN 111915222 A CN111915222 A CN 111915222A CN 202010836143 A CN202010836143 A CN 202010836143A CN 111915222 A CN111915222 A CN 111915222A
- Authority
- CN
- China
- Prior art keywords
- power quality
- index
- spatial domain
- indexes
- voltage
- 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
- 238000011156 evaluation Methods 0.000 title claims abstract description 39
- 238000012544 monitoring process Methods 0.000 claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 26
- 238000010606 normalization Methods 0.000 claims abstract description 8
- 238000012163 sequencing technique Methods 0.000 abstract description 11
- 238000013139 quantization Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to a spatial domain multi-voltage level power quality level sequencing evaluation method, belonging to the field of power system analysis, and the method comprises the following steps: step 1) single-point single power quality index evaluation; step 2), simplifying three-phase indexes; step 3), normalization; step 4), unifying multiple indexes with the same attribute; step 5), unifying multiple indexes with different attributes; step 6), sorting the electric energy quality levels of the spatial domain multi-voltage levels according to the UPQI for the monitoring points of the spatial domain with different voltage levels; the smaller the UPQI, the higher its power quality level. The invention solves the problem of sorting and evaluating the power quality hazards of different voltage grades and different power quality monitoring points in a spatial domain.
Description
Technical Field
The invention relates to an evaluation method, in particular to a spatial domain multi-voltage level electric energy quality level sequencing evaluation method. Belongs to the field of electric power system analysis.
Background
At present, the evaluation of the power quality indexes mostly focuses on the evaluation of a single index based on the national standard limit value of the corresponding voltage grade, but with the continuous expansion of the coverage of power quality monitoring and the more complex power supply and utilization electromagnetic environment of a power grid, how to perform sequencing evaluation on power quality monitoring points with different voltage grades according to the power quality hazard degree of the power quality monitoring points so as to develop comprehensive power quality management is one of the problems which need to be solved urgently at present.
The method mainly adopted at present is a method for evaluating the probability large value of a single power quality index at the same voltage level, and the evaluation method of the probability large value is almost adopted for evaluating the power quality index of a single index in a certain time span. The probability is large, namely the target value corresponding to a certain percentile: the target value of the xth percentile is Px, which divides the total observed value of the power quality indicator into two parts, wherein X% of the observed values are smaller than Px, and (100-X)% of the observed values are larger than Px. It is used primarily to describe the level of a set of data at various percentiles, represented by a set of percentiles such as P5, P25, P50, P75, P95, P99, P100. Generally, a probability maximum of 95% or more is used. The disadvantages of this method are: the method can not realize the sequencing evaluation of the power quality monitoring points with different voltage grades according to the power quality hazard degree, and can not realize the sequencing evaluation of the power quality monitoring points with different voltage grades.
The other method is as follows: a plurality of power quality comprehensive indexes are induced by the same voltage grade by adopting an average method, and one comprehensive index is obtained by averaging quantization levels of different power quality indexes of the same voltage grade and the same monitoring point. The method has the potential risk that the harm of different power quality indexes can be offset, which is obviously wrong, and the sequencing evaluation of the power quality monitoring points with different voltage grades cannot be realized.
Yet another approach is: and inducing multiple electric energy quality comprehensive indexes by adopting a maximum value method at the same voltage level, namely: and obtaining a comprehensive index by taking the maximum value of the quantization levels of different power quality indexes at the same voltage level and the same monitoring point. The method has the main problems that the hazards of different power quality indexes are amplified by using point strip surfaces, and the sequencing evaluation of power quality monitoring points with different voltage grades cannot be realized.
Disclosure of Invention
The method aims to overcome the defect that the traditional method can not realize the sequencing evaluation of the power quality monitoring points with different voltage grades according to the power quality hazard degree. The invention aims to provide a spatial domain multi-voltage level power quality level sequencing evaluation method, in particular to a method for sequencing and evaluating power quality monitoring points of different voltage levels according to power quality hazard degrees of the monitoring points. The invention solves the problem of sorting and evaluating the power quality hazards of different voltage grades and different power quality monitoring points.
The technical scheme of the invention is as follows: the spatial domain multi-voltage level power quality level ranking evaluation method comprises the following steps:
step 1) evaluation of single-point single power quality index
Evaluating the single-point single power quality index by adopting a probability maximum value method to obtain a probability maximum value evaluation result;
step 2) reduction of three-phase indexes
On the basis of single-point single power quality index evaluation, if the power quality index has A, B, C three-phase attributes, selecting the maximum value of the three-phase evaluation result as a representative; wherein the three-phase attribute means A, B, C each phase has a same index;
step 3) normalization
Dividing the maximum value of the three-phase evaluation result by the national standard limit value of the index corresponding to the voltage grade;
step 4) same-attribute multi-index simplification
Taking the maximum value as a representative value for a plurality of index phenomena with the same attribute, such as harmonic waves and flicker in the electric energy quality index, and finally obtaining a representative value of the index with the same attribute;
step 5) multi-index unification of different attributes
Representing a plurality of different attribute indexes in the power quality index of the same monitoring point by using one index by adopting a certain rule, and recording the indexes as UPQI;
step 6) sorting the quality levels of the electric energy with different voltage grades
For monitoring points with different voltage levels of the spatial domain, sorting the power quality levels with different voltage levels of the spatial domain according to the size of UPQI; the smaller the UPQI, the higher its power quality level.
Further, the power quality index includes: voltage deviation, flicker, three-phase imbalance and harmonics; the probability maximum value is a target value corresponding to a certain percentile; the evaluation of the single-point single power quality index by adopting a probability maximum value method in the step 1) is specifically as follows: let the target value of the xth percentile be Px, X divides all observations of the power quality indicator into two parts, where X% of the observations are smaller than Px and (100-X)% of the observations are larger than Px.
Further, the multiple indexes of the harmonic in the step 4) comprise a total harmonic distortion rate and a voltage content rate of each harmonic; the multiple indicators of flicker include short-time flicker, long-time flicker.
The invention has the beneficial effects that: according to the method, a plurality of power quality indexes of monitoring points with different voltage levels are represented by one index through normalization, so that the power quality levels of multiple voltage levels in a spatial domain are sorted; the method solves the problem that the power quality monitoring points with different voltage grades can not be sequenced and evaluated according to the power quality harm degree at present, and provides technical support for carrying out comprehensive power quality management.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure. Terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art.
Example 1
The spatial domain multi-voltage level power quality level ranking evaluation method comprises the following steps:
step 1) evaluation of single-point single power quality index
Evaluating the single-point single power quality index by adopting a probability maximum value method to obtain a probability maximum value evaluation result;
step 2) reduction of three-phase indexes
On the basis of single-point single power quality index evaluation, if the power quality index has A, B, C three-phase attributes, selecting the maximum value of the three-phase evaluation result as a representative; wherein the three-phase attribute means A, B, C each phase has a same index;
step 3) normalization
Dividing the maximum value of the three-phase evaluation result by the national standard limit value of the index corresponding to the voltage grade;
step 4) same-attribute multi-index simplification
Taking the maximum value as a representative value for a plurality of index phenomena with the same attribute, such as harmonic waves and flicker in the electric energy quality index, and finally obtaining a representative value of the index with the same attribute;
step 5) multi-index unification of different attributes
Representing a plurality of different attribute indexes in the power quality index of the same monitoring point by using one index by adopting a certain rule, and recording the indexes as UPQI;
step 6) sorting the quality levels of the electric energy with different voltage grades
For monitoring points with different voltage levels in the spatial domain, sequencing the electric energy quality levels of the multiple voltage levels in the spatial domain according to the UPQI; the smaller the UPQI, the higher its power quality level.
Example 2
On the basis of the embodiment 1, the power quality indexes include: voltage deviation, flicker, three-phase imbalance and harmonics; the probability maximum value is a target value corresponding to a certain percentile;
further, the evaluation of the single-point single power quality index by the method with a large probability value in the step 1) is specifically as follows: let the target value of the xth percentile be Px, X divides all observations of the power quality indicator into two parts, where X% of the observations are smaller than Px and (100-X)% of the observations are larger than Px.
Further, the multiple indexes of the harmonic in the step 4) comprise a total harmonic distortion rate and a voltage content rate of each harmonic; the multiple indicators of flicker include short-time flicker, long-time flicker.
Further, the step 5) adopts a certain rule to characterize a plurality of indexes with different attributes in the power quality indexes of the same monitoring point by using one index specifically as follows:
if all the indexes of the monitoring point with different attributes are less than 1, the UPQI is the maximum value of all the indexes with different attributes;
if the indexes of different attributes of the monitoring point have values larger than 1, the UPQI is 1+ the sum of the parts of the indexes of different attributes exceeding 1.
Example 3
This embodiment is an example of an application scenario
Set point 1 voltage as 380V: then:
1) for voltage deviation (380V voltage grade corresponding to the national standard of +/-7%)
The first step is as follows: solving A, B, C large values of the three-phase voltage deviation of 95% probability as delta Va, delta Vb and delta Vc;
the second step is that: the three-phase index is simplified: if the maximum value of delta Va, delta Vb and delta Vc is delta Vb, keeping delta Vb;
the third step: normalization: Δ Vb was divided by 7%, and the result was 0.6
2) For three-phase unbalance (2% corresponding to national standard)
The first step is as follows: solving the large values of 95% probability of the three-phase unbalance;
the second step is that: the three phases only have one index, so the simplification of the three-phase index is not needed;
the third step: normalization: the result was 0.6 when the ratio was divided by 2%
3) For flicker (long flicker criterion 1, short flicker criterion 0.8)
The first step is as follows: obtaining A, B, C large values of the long-time flicker probability of 95% of the three-phase voltage, namely PLA, PLB and PLC; the large values of A, B, C three-phase voltage short-time flicker probability of 95% are respectively PSA, PSB and PSC,
the second step is that: the three-phase index is simplified: the maximum value of PLA, PLB and PLC is PLA, and then PLA is reserved; the maximum value among PSA, PSB and PSC is PSC, and the PSC is retained
The third step: normalization: dividing PLA by 1, and setting the result to be 0.5; dividing the value by 0.8 by the PLC, and setting the result to be 0.8;
the fourth step: the same-attribute multi-index simplification: taking the maximum value of long-time flicker and short-time flicker as a representative value, and obtaining a representative value of the flicker which is the same attribute index, namely 0.8 when PLC is 0.8 maximum;
4) for harmonics: since each phase of harmonic has 25 indexes (total distortion rate, 2-25 th harmonic content rate) and three phases have 75 indexes, the process is omitted (belonging to the common knowledge and technology in the field, and not described in detail here), the same as the step of flicker, and the final result after the fourth step is set to 0.8.
The results of point 1 voltage deviations, imbalances, flicker, harmonics from the above procedure are shown in the first column of table 1. Similarly, the results of points 2 and 3 in Table 1 are the same as those of point 1.
5) The method is characterized in that multiple indexes with different attributes are simplified, namely four different attribute indexes including voltage deviation, harmonic wave, flicker and unbalance of each point are represented by one UPQI, and the specific method comprises the following steps:
point 1: if all the different attribute indexes of the point are less than 1, the maximum value of the UPQI is 0.8;
point 2: if the value of each of the different attribute indexes exceeds 1, the sum of the UPQI of 1+ the portion of each of the different attribute indexes exceeding 1 is 1+0.4+0.4 of 1.8.
Point 3: if the value of each of the different attribute indexes is greater than 1, the sum of the UPQI value of 1+ the portion of each of the different attribute indexes exceeding 1 is 1+0.4, 1.4.
The quality indexes of the electric energy of the three monitoring points with different voltage levels after passing through the steps 1) to 4) of the invention are shown in the table 1:
table 1: analysis results of three monitoring points with three different voltage levels
6) A comparison of the above UPQI results shows that: UPQI1< UPQI3< UPQI2, indicating that the smaller the UPQI, the higher its power quality level, where point 1 is the best power quality, point 3 times the worst, point 2. The conclusion is consistent with the reality (in reality, point 1 does not exceed the standard, two indexes of point 2 exceed the standard, and only 1 index of point 3 exceeds the standard).
The steps and components of the present embodiments are not described in detail, but are generally known in the art and not described in detail herein.
Claims (3)
1. The spatial domain multi-voltage level power quality level ranking evaluation method is characterized by comprising the following steps: the method comprises the following steps:
step 1) evaluation of single-point single power quality index
Evaluating the single-point single power quality index by adopting a probability maximum value method to obtain a probability maximum value evaluation result;
step 2) reduction of three-phase indexes
On the basis of single-point single power quality index evaluation, if the power quality index has A, B, C three-phase attributes, selecting the maximum value of the three-phase evaluation result as a representative; wherein the three-phase attribute means A, B, C each phase has a same index;
step 3) normalization
Dividing the maximum value of the three-phase evaluation result by the national standard limit value of the index corresponding to the voltage grade;
step 4) same-attribute multi-index simplification
Taking the maximum value as a representative value for a plurality of index phenomena with the same attribute, such as harmonic waves and flicker in the electric energy quality index, and finally obtaining a representative value of the index with the same attribute;
step 5) multi-index unification of different attributes
Representing a plurality of different attribute indexes in the power quality index of the same monitoring point by using one index by adopting a certain rule, and recording the indexes as UPQI;
step 6) sorting the quality levels of the electric energy with different voltage grades
For monitoring points with different voltage levels of the spatial domain, sorting the power quality levels with different voltage levels of the spatial domain according to the size of UPQI; the smaller the UPQI, the higher its power quality level.
2. The spatial domain multi-voltage level power quality level ranking evaluation method of claim 1, characterized by: the electric energy quality indexes comprise: voltage deviation, flicker, three-phase imbalance and harmonics; the probability maximum value is a target value corresponding to a certain percentile; the evaluation of the single-point single power quality index by adopting a probability maximum value method in the step 1) is specifically as follows: let the target value of the xth percentile be Px, X divides all observations of the power quality indicator into two parts, where X% of the observations are smaller than Px and (100-X)% of the observations are larger than Px.
3. The spatial domain multi-voltage level power quality level ranking evaluation method of claim 1, characterized by: the multiple indexes of the harmonic waves in the step 4) comprise a total harmonic wave distortion rate and a voltage content rate of each harmonic wave; the multiple indicators of flicker include short-time flicker, long-time flicker.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010836143.1A CN111915222A (en) | 2020-08-19 | 2020-08-19 | Spatial domain multi-voltage level power quality level ranking evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010836143.1A CN111915222A (en) | 2020-08-19 | 2020-08-19 | Spatial domain multi-voltage level power quality level ranking evaluation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111915222A true CN111915222A (en) | 2020-11-10 |
Family
ID=73278390
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010836143.1A Pending CN111915222A (en) | 2020-08-19 | 2020-08-19 | Spatial domain multi-voltage level power quality level ranking evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111915222A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102938130A (en) * | 2012-11-09 | 2013-02-20 | 内蒙古东部电力有限公司电力科学研究院 | Comprehensive assessment method for performance indexes of power quality based on PQView |
| CN103023023A (en) * | 2012-11-28 | 2013-04-03 | 安徽省电力科学研究院 | Comprehensive evaluation method based on multi-stress for electric energy quality of monitoring points of electrified railway |
| CN103472333A (en) * | 2013-09-16 | 2013-12-25 | 国家电网公司 | Wind power integration electric energy quality overall performance detection method |
-
2020
- 2020-08-19 CN CN202010836143.1A patent/CN111915222A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102938130A (en) * | 2012-11-09 | 2013-02-20 | 内蒙古东部电力有限公司电力科学研究院 | Comprehensive assessment method for performance indexes of power quality based on PQView |
| CN103023023A (en) * | 2012-11-28 | 2013-04-03 | 安徽省电力科学研究院 | Comprehensive evaluation method based on multi-stress for electric energy quality of monitoring points of electrified railway |
| CN103472333A (en) * | 2013-09-16 | 2013-12-25 | 国家电网公司 | Wind power integration electric energy quality overall performance detection method |
Non-Patent Citations (2)
| Title |
|---|
| V.J. GOSBELL 等: "Unified Power Quality Index (UPQI) for Continuous Disturbances", 《10TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER》 * |
| 陶顺 等: "电能质量单项指标和综合指标评估的研究", 《华北电力大学学报》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105809322B (en) | urban power grid reliability evaluation method comprehensively considering power generation, power transmission and power distribution system | |
| CN111563682A (en) | Test evaluation method for distribution automation equipment | |
| CN106058876A (en) | Dynamic reactive planning site-selection analysis method and system considering transient voltage stability | |
| CN107342628B (en) | New energy access broadband stability multistage early warning method integrating multi-source information | |
| Grycan et al. | Photovoltaic farm impact on parameters of power quality and the current legislation | |
| Ismail et al. | Optimal placement of DSTATCOM in distribution network based on load flow and voltage stability indices studies | |
| CN112231628A (en) | Method and system for determining compensation performance of active power quality control equipment | |
| CN113779798A (en) | Electric energy quality data processing method and device based on intuitive fuzzy combination empowerment | |
| Salmeron et al. | New distortion and unbalance indices based on power quality analyzer measurements | |
| Doostan et al. | Concurrent placement of distributed generation resources and capacitor banks in distribution systems | |
| Yang et al. | Optimal investment decision of distribution network with investment ability and project correlation constraints | |
| Carretero-Hernandez et al. | Comparison of harmonic emission in LV side of a large grid connected PV power plant | |
| Kahar et al. | Comparative analysis of optimal damped and undamped passive filters using MIDACO-solver | |
| CN113705987A (en) | Comprehensive weighting performance evaluation method for power grid adaptive grid-connected converter and related equipment | |
| CN111915222A (en) | Spatial domain multi-voltage level power quality level ranking evaluation method | |
| CN106159953B (en) | Switching system and switching method for alternating current filter | |
| Thirumala et al. | A composite power quality index for low-voltage active distribution networks | |
| CN111737875B (en) | Active power unbalance rate analysis and diagnosis method, system and computer equipment | |
| Cieślik | On the problem of harmonic source detection in electric power networks | |
| CN114331006A (en) | Power grid power quality evaluation method and device, computer equipment and storage medium | |
| Fortes et al. | Harmonic resonance in electrical grids with photovoltaic distributed generation | |
| Wang et al. | Development of hybrid ROCOF and RPV method for anti-islanding protection | |
| KR101215686B1 (en) | Method for discriminating type of variation in distribution system | |
| Zhu et al. | The effect of network modelling on harmonic propagation studies in power electronics rich transmission networks | |
| Şengül et al. | Evaluation of the effects of photovoltaic systems on voltage quality |
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 |
Application publication date: 20201110 |
|
| RJ01 | Rejection of invention patent application after publication |