A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements:
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| Format: | Abschlussarbeit Buch |
| Sprache: | English |
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Kassel
Kassel University Press
[2020]
|
| Schriftenreihe: | Energy management and power system operation
Vol. 11 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xvii, 173 Seiten Illustrationen, Diagramme, Karte 21 cm x 14.8 cm, 200 g |
| ISBN: | 9783737608725 3737608725 |
Internformat
MARC
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| 100 | 1 | |a Menke, Jan-Hendrik |e Verfasser |0 (DE-588)1229131957 |4 aut | |
| 245 | 1 | 0 | |a A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements |c Jan-Hendrik Menke |
| 263 | |a 202008 | ||
| 264 | 1 | |a Kassel |b Kassel University Press |c [2020] | |
| 264 | 4 | |c © 2020 | |
| 300 | |a xvii, 173 Seiten |b Illustrationen, Diagramme, Karte |c 21 cm x 14.8 cm, 200 g | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Energy management and power system operation |v Vol. 11 | |
| 502 | |b Dissertation |c Universität Kassel |d 2019 | ||
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| 653 | |a distribution system state estimation | ||
| 653 | |a power system state estimation | ||
| 653 | |a measurement placement | ||
| 653 | |a distribution system monitoring | ||
| 653 | |a measurement planning | ||
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-032317692 | ||
Datensatz im Suchindex
| _version_ | 1804181786263027712 |
|---|---|
| adam_text | CONTENTS
ABSTRACT
V
ACKNOWLEDGEMENTS
VII
1
INTRODUCTION
1
1.1
MONITORING
AND
STATE
ESTIMATION
.................................................................
1
1.1.1
INTRODUCTION
TO
GRIDS
AND
MEASUREMENT
INFRASTRUCTURE
................
1
1.1.2
ENERGY
MANAGEMENT
SYSTEMS
........................................................
2
1.2
CHARACTERISTICS
OF
MONITORING
AND
STATE
ESTIMATION
IN
DISTRIBUTION
GRIDS
.
3
1.2.1
MOTIVATION
FOR
DISTRIBUTION
GRID MONITORING
...............................
3
1.2.2
CHALLENGES
TO
IMPLEMENTING
DISTRIBUTION
GRID
MONITORING
....
7
1.3
OBJECTIVES
OF
THE
THESIS
................................................................................
8
1.4
STRUCTURE
AND
CONTRIBUTIONS
OF
THE
THESIS
..................................................
9
1.5
PUBLICATIONS
USED
IN
THE
THESIS
....................................................................
12
2
STATE
OF
THE
ART
13
2.1
INDUSTRY
STANDARD:
WLS
SE
.......................................................................
14
2.2
WLS
SE
WITH
AN
INSUFFICIENT
NUMBER
OF
MEASUREMENTS
............................
15
2.3
DISTRIBUTION
SYSTEM
MONITORING
AND
STATE
ESTIMATION
...............................
16
XIII
XIV
CONTENTS
2.4
PROPOSED
INNOVATIONS
COMPARED
TO
THE
STATE
OF
THE
ART
.............................
20
3
HEURISTIC
MONITORING
METHOD
22
3.1
INTRODUCTION
AND
CONCEPT
OF
THE
PROPOSED
METHOD
.....................................
22
3.2
GRID
TOPOLOGY
ANALYSIS
.................................................................................
23
3.3
GENERATION
OF
LOAD
SUBSTITUTE
VALUES
........................................................
24
3.4
CALCULATION
OF
POWER
FLOWS
FOR
RADIAL
GRIDS
...............................................
25
3.4.1
INTRODUCTION
TO
POWER
FLOW
CALCULATIONS
.....................................
25
3.4.2
BRANCH-BASED
POWER
FLOW
FORMULATION
........................................
26
3.4.3
COMPLEXITY
ANALYSIS
........................................................................
28
3.5
ITERATIVE
LOAD
BALANCING
..............................................................................
29
3.6
VALIDATION
.......................................................................................................
30
3.6.1
TEST
GRIDS
..........................................................................................
30
3.6.2
SIMULATION
PROCESS
...........................................................................
31
3.6.3
EVALUATION
WITH
LOAD
PROFILE
DATA
..................................................
33
3.6.4
EVALUATION
WITH
HIGH
DG
PENETRATION
...........................................
35
3.6.5
VALIDATION
OF
THE
BRANCH-BASED
POWER
FLOW
METHOD
...................
39
3.7
SUMMARY
AND
LIMITATIONS
..............................................................................
41
4
GRID
MONITORING
WITH
ARTIFICIAL
NEURAL
NETWORKS
42
4.1
INTRODUCTION
AND
COMPARISON
TO
OTHER
MONITORING
METHODS
.......................
42
4.2
NEURAL
NETWORKS
AS
FUNCTION
APPROXIMATORS
...........................................
44
4.3
ANN
ARCHITECTURE
FOR
GRID
MONITORING
.....................................................
47
4.3.1
INPUTS
AND
OUTPUTS
...........................................................................
47
4.3.2
FEASIBLE
HYPERPARAMETERS
..............................................................
49
CONTENTS
XV
4.3.3
ANN
TRAINING
SCHEME
....................................................................
51
4.4
EXTENSIONS
FOR
FULL
STATE
ESTIMATION
...........................................................
52
4.5
ERROR
CORRECTION
FOR
VOLTAGE
MEASUREMENTS
..............................................
54
4.6
VERIFICATION
OF
ANN-BASED
MONITORING
........................................................
56
4.6.1
INTRODUCTION
.......................................................................................
56
4.6.2
MEASUREMENT
INACCURACIES
..............................................................
56
4.6.3
VALIDATION
ON
A
GERMAN
DISTRIBUTION
GRID
......................................
57
4.6.4
APPLICATION
EXAMPLE
IN
A
CO-SIMULATION
ENVIRONMENT
...............
58
4.6.5
COMPARISON
WITH
INDUSTRY
SOFTWARE
..............................................
67
4.7 SUMMARY,
LIMITATIONS
AND
OUTLOOK
..............................................................
70
5
EVALUATION
OF
THE
DIFFERENT
METHODS
73
5.1
INTRODUCTION
...................................................................................................
73
5.2
EVALUATION
PROCESS
.......................................................................................
73
5.3
BENCHMARK
GRID
.............................................................................................
75
5.4
EVALUATION
CRITERIA
AND
METRICS
....................................................................
76
5.4.1
QUALITY
OF
ESTIMATION
.......................................................................
76
5.4.2
NUMBER
OF
MEASUREMENTS
..............................................................
78
5.4.3
TYPES
OF
MEASUREMENTS
.................................................................
79
5.4.4
ROBUSTNESS
AGAINST
UNPLANNED
INFLUENCES
.....................................
80
5.4.5
TOPOLOGY
ERRORS
.............................................................................
81
5.5
URBAN
AND COMMERCIAL
TEST
GRIDS
..............................................................
82
5.6
HOST
SYSTEMS
................................................................................................
83
5.7
CLASSIFICATION
OF
THE
MONITORING
METHODS
..................................................
85
XVI
CONTENTS
6
CONCEPT
FOR
THE
IDENTIFICATION
OF
FEASIBLE
MEASUREMENT
CONFIGURATIONS
87
6.1
MOTIVATION
.......................................................................................................
87
6.2
STATE
OF
THE
ART
.............................................................................................
87
6.3
PROPOSED
APPROACH
.......................................................................................
89
6.3.1
ENCODING
A
MEASUREMENT
CONFIGURATION
........................................
89
6.3.2
TRANSFORMATION
OF
THE
MULTI-OBJECTIVE
OPTIMIZATION
PROBLEM
...
90
6.3.3
OPTIMIZATION
PROCESS
.......................................................................
91
6.3.4
HEURISTIC
ALGORITHMS
.......................................................................
93
6.3.5
SURROGATE
OPTIMIZATION
....................................................................
99
6.4
MEASUREMENTS
...................................................................................................
102
6.5
VALIDATION
AND
EVALUATION
.................................................................................
103
6.5.1
INTUITIVE
EVALUATION
STRATEGY
..............................................................
103
6.5.2
SEMI-RANDOM
PICKING
.......................................................................
104
6.5.3
MV
OBERRHEIN
GRID
..............................................................................
104
6.5.4
SIMBENCH
MV-LV
MULTI-LEVEL
URBAN
BENCHMARK
GRID
.................
106
6.6
SUMMARY
.........................................................................................................
109
7
IMPLEMENTATION
OF
THE
PROPOSED
METHODS
111
7.1
INTRODUCTION
.......................................................................................................
ILL
7.2
APPROACH
FOR
IDENTIFICATION
OF
OPTIMAL
MEASUREMENT
CONFIGURATIONS
...
112
7.3
IMPLEMENTING
ONLINE-MONITORING
AND
STATE
ESTIMATION
................................
114
8
CONCLUSION
116
8.1
SUMMARY
OF
THE
THESIS
....................................................................................
116
8.2
INNOVATIONS
IN
THIS
THESIS
.................................................................................
118
8.3
FUTURE
WORK
....................................................................................................
119
APPENDICES
120
A
EUROPEAN
MV/LV
VOLTAGE
DISTRIBUTION
GRIDS
...............................................
121
B
DATA
FOR
THE
HMM
TEST
GRIDS
..........................................................................
123
B.L
SYNTH
1
TEST
GRID
..................................................................................
123
B.2
SYNTH
2
TEST
GRID
.................................................................................
126
C
STANDARD
LOAD
PROFILE
SCALING
FACTORS
...........................................................
129
D
GRID
DATA
FOR
THE
CIGRE
MV
BENCHMARK
GRID
............................................
131
E
CLASSIFIATION
OF
MONITORING
METHODS
WITH
SIMBENCH
MV
GRIDS
................
134
E.
1
DESCRIPTION
OF
TEST
CASES
FOR
SIMBENCH
MV
URBAN
GRID
.............
134
E.2
RESULTS
FOR
SIMBENCH
MV
URBAN
GRID
...............................................
135
E.3
DESCRIPTION
OF
TEST
CASES
FOR
SIMBENCH
MV
COMMERCIAL
GRID
.
.
137
E.
4
RESULTS
FOR
SIMBENCH
MV
COMMERCIAL
GRID
......................................
138
F
GRAPHICAL
USER
INTERFACE
.................................................................................
141
F.
L
GRID
SELECTION
AND
REQUIRED
INFORMATION
.........................................
141
F.2
MEASUREMENT
DEFINITIONS
.....................................................................
141
F.3
MONITORING
METHOD
AND
REQUIREMENTS
...............................................
144
F.4
RECOMMENDATIONS
FOR
MEASUREMENT
INFRASTRUCTURE
.........................
144
NOMENCLATURE
148
LIST
OF
TABLES
151
LIST
OF
FIGURES
155
BIBLIOGRAPHY
159
XVII
|
| adam_txt |
CONTENTS
ABSTRACT
V
ACKNOWLEDGEMENTS
VII
1
INTRODUCTION
1
1.1
MONITORING
AND
STATE
ESTIMATION
.
1
1.1.1
INTRODUCTION
TO
GRIDS
AND
MEASUREMENT
INFRASTRUCTURE
.
1
1.1.2
ENERGY
MANAGEMENT
SYSTEMS
.
2
1.2
CHARACTERISTICS
OF
MONITORING
AND
STATE
ESTIMATION
IN
DISTRIBUTION
GRIDS
.
3
1.2.1
MOTIVATION
FOR
DISTRIBUTION
GRID MONITORING
.
3
1.2.2
CHALLENGES
TO
IMPLEMENTING
DISTRIBUTION
GRID
MONITORING
.
7
1.3
OBJECTIVES
OF
THE
THESIS
.
8
1.4
STRUCTURE
AND
CONTRIBUTIONS
OF
THE
THESIS
.
9
1.5
PUBLICATIONS
USED
IN
THE
THESIS
.
12
2
STATE
OF
THE
ART
13
2.1
INDUSTRY
STANDARD:
WLS
SE
.
14
2.2
WLS
SE
WITH
AN
INSUFFICIENT
NUMBER
OF
MEASUREMENTS
.
15
2.3
DISTRIBUTION
SYSTEM
MONITORING
AND
STATE
ESTIMATION
.
16
XIII
XIV
CONTENTS
2.4
PROPOSED
INNOVATIONS
COMPARED
TO
THE
STATE
OF
THE
ART
.
20
3
HEURISTIC
MONITORING
METHOD
22
3.1
INTRODUCTION
AND
CONCEPT
OF
THE
PROPOSED
METHOD
.
22
3.2
GRID
TOPOLOGY
ANALYSIS
.
23
3.3
GENERATION
OF
LOAD
SUBSTITUTE
VALUES
.
24
3.4
CALCULATION
OF
POWER
FLOWS
FOR
RADIAL
GRIDS
.
25
3.4.1
INTRODUCTION
TO
POWER
FLOW
CALCULATIONS
.
25
3.4.2
BRANCH-BASED
POWER
FLOW
FORMULATION
.
26
3.4.3
COMPLEXITY
ANALYSIS
.
28
3.5
ITERATIVE
LOAD
BALANCING
.
29
3.6
VALIDATION
.
30
3.6.1
TEST
GRIDS
.
30
3.6.2
SIMULATION
PROCESS
.
31
3.6.3
EVALUATION
WITH
LOAD
PROFILE
DATA
.
33
3.6.4
EVALUATION
WITH
HIGH
DG
PENETRATION
.
35
3.6.5
VALIDATION
OF
THE
BRANCH-BASED
POWER
FLOW
METHOD
.
39
3.7
SUMMARY
AND
LIMITATIONS
.
41
4
GRID
MONITORING
WITH
ARTIFICIAL
NEURAL
NETWORKS
42
4.1
INTRODUCTION
AND
COMPARISON
TO
OTHER
MONITORING
METHODS
.
42
4.2
NEURAL
NETWORKS
AS
FUNCTION
APPROXIMATORS
.
44
4.3
ANN
ARCHITECTURE
FOR
GRID
MONITORING
.
47
4.3.1
INPUTS
AND
OUTPUTS
.
47
4.3.2
FEASIBLE
HYPERPARAMETERS
.
49
CONTENTS
XV
4.3.3
ANN
TRAINING
SCHEME
.
51
4.4
EXTENSIONS
FOR
FULL
STATE
ESTIMATION
.
52
4.5
ERROR
CORRECTION
FOR
VOLTAGE
MEASUREMENTS
.
54
4.6
VERIFICATION
OF
ANN-BASED
MONITORING
.
56
4.6.1
INTRODUCTION
.
56
4.6.2
MEASUREMENT
INACCURACIES
.
56
4.6.3
VALIDATION
ON
A
GERMAN
DISTRIBUTION
GRID
.
57
4.6.4
APPLICATION
EXAMPLE
IN
A
CO-SIMULATION
ENVIRONMENT
.
58
4.6.5
COMPARISON
WITH
INDUSTRY
SOFTWARE
.
67
4.7 SUMMARY,
LIMITATIONS
AND
OUTLOOK
.
70
5
EVALUATION
OF
THE
DIFFERENT
METHODS
73
5.1
INTRODUCTION
.
73
5.2
EVALUATION
PROCESS
.
73
5.3
BENCHMARK
GRID
.
75
5.4
EVALUATION
CRITERIA
AND
METRICS
.
76
5.4.1
QUALITY
OF
ESTIMATION
.
76
5.4.2
NUMBER
OF
MEASUREMENTS
.
78
5.4.3
TYPES
OF
MEASUREMENTS
.
79
5.4.4
ROBUSTNESS
AGAINST
UNPLANNED
INFLUENCES
.
80
5.4.5
TOPOLOGY
ERRORS
.
81
5.5
URBAN
AND COMMERCIAL
TEST
GRIDS
.
82
5.6
HOST
SYSTEMS
.
83
5.7
CLASSIFICATION
OF
THE
MONITORING
METHODS
.
85
XVI
CONTENTS
6
CONCEPT
FOR
THE
IDENTIFICATION
OF
FEASIBLE
MEASUREMENT
CONFIGURATIONS
87
6.1
MOTIVATION
.
87
6.2
STATE
OF
THE
ART
.
87
6.3
PROPOSED
APPROACH
.
89
6.3.1
ENCODING
A
MEASUREMENT
CONFIGURATION
.
89
6.3.2
TRANSFORMATION
OF
THE
MULTI-OBJECTIVE
OPTIMIZATION
PROBLEM
.
90
6.3.3
OPTIMIZATION
PROCESS
.
91
6.3.4
HEURISTIC
ALGORITHMS
.
93
6.3.5
SURROGATE
OPTIMIZATION
.
99
6.4
MEASUREMENTS
.
102
6.5
VALIDATION
AND
EVALUATION
.
103
6.5.1
INTUITIVE
EVALUATION
STRATEGY
.
103
6.5.2
SEMI-RANDOM
PICKING
.
104
6.5.3
MV
OBERRHEIN
GRID
.
104
6.5.4
SIMBENCH
MV-LV
MULTI-LEVEL
URBAN
BENCHMARK
GRID
.
106
6.6
SUMMARY
.
109
7
IMPLEMENTATION
OF
THE
PROPOSED
METHODS
111
7.1
INTRODUCTION
.
ILL
7.2
APPROACH
FOR
IDENTIFICATION
OF
OPTIMAL
MEASUREMENT
CONFIGURATIONS
.
112
7.3
IMPLEMENTING
ONLINE-MONITORING
AND
STATE
ESTIMATION
.
114
8
CONCLUSION
116
8.1
SUMMARY
OF
THE
THESIS
.
116
8.2
INNOVATIONS
IN
THIS
THESIS
.
118
8.3
FUTURE
WORK
.
119
APPENDICES
120
A
EUROPEAN
MV/LV
VOLTAGE
DISTRIBUTION
GRIDS
.
121
B
DATA
FOR
THE
HMM
TEST
GRIDS
.
123
B.L
SYNTH
1
TEST
GRID
.
123
B.2
SYNTH
2
TEST
GRID
.
126
C
STANDARD
LOAD
PROFILE
SCALING
FACTORS
.
129
D
GRID
DATA
FOR
THE
CIGRE
MV
BENCHMARK
GRID
.
131
E
CLASSIFIATION
OF
MONITORING
METHODS
WITH
SIMBENCH
MV
GRIDS
.
134
E.
1
DESCRIPTION
OF
TEST
CASES
FOR
SIMBENCH
MV
URBAN
GRID
.
134
E.2
RESULTS
FOR
SIMBENCH
MV
URBAN
GRID
.
135
E.3
DESCRIPTION
OF
TEST
CASES
FOR
SIMBENCH
MV
COMMERCIAL
GRID
.
.
137
E.
4
RESULTS
FOR
SIMBENCH
MV
COMMERCIAL
GRID
.
138
F
GRAPHICAL
USER
INTERFACE
.
141
F.
L
GRID
SELECTION
AND
REQUIRED
INFORMATION
.
141
F.2
MEASUREMENT
DEFINITIONS
.
141
F.3
MONITORING
METHOD
AND
REQUIREMENTS
.
144
F.4
RECOMMENDATIONS
FOR
MEASUREMENT
INFRASTRUCTURE
.
144
NOMENCLATURE
148
LIST
OF
TABLES
151
LIST
OF
FIGURES
155
BIBLIOGRAPHY
159
XVII |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Menke, Jan-Hendrik |
| author_GND | (DE-588)1229131957 |
| author_facet | Menke, Jan-Hendrik |
| author_role | aut |
| author_sort | Menke, Jan-Hendrik |
| author_variant | j h m jhm |
| building | Verbundindex |
| bvnumber | BV046908168 |
| classification_rvk | ZN 8520 |
| ctrlnum | (OCoLC)1198014890 (DE-599)DNB1216578176 |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| discipline_str_mv | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV046908168 |
| illustrated | Illustrated |
| index_date | 2024-07-03T15:27:07Z |
| indexdate | 2024-07-10T08:57:11Z |
| institution | BVB |
| institution_GND | (DE-588)1066127425 |
| isbn | 9783737608725 3737608725 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032317692 |
| oclc_num | 1198014890 |
| open_access_boolean | |
| owner | DE-83 |
| owner_facet | DE-83 |
| physical | xvii, 173 Seiten Illustrationen, Diagramme, Karte 21 cm x 14.8 cm, 200 g |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Kassel University Press |
| record_format | marc |
| series | Energy management and power system operation |
| series2 | Energy management and power system operation |
| spelling | Menke, Jan-Hendrik Verfasser (DE-588)1229131957 aut A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements Jan-Hendrik Menke 202008 Kassel Kassel University Press [2020] © 2020 xvii, 173 Seiten Illustrationen, Diagramme, Karte 21 cm x 14.8 cm, 200 g txt rdacontent n rdamedia nc rdacarrier Energy management and power system operation Vol. 11 Dissertation Universität Kassel 2019 Netzbelastung (DE-588)4194619-4 gnd rswk-swf Verteilungsnetz (DE-588)4279392-0 gnd rswk-swf Messgröße (DE-588)4169512-4 gnd rswk-swf Zustandsschätzung (DE-588)4129826-3 gnd rswk-swf Zustandsüberwachung (DE-588)4369492-5 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Übertragungsnetz (DE-588)4801279-8 gnd rswk-swf Monitorüberwachung (DE-588)4291501-6 gnd rswk-swf distribution system state estimation power system state estimation measurement placement distribution system monitoring measurement planning (DE-588)4113937-9 Hochschulschrift gnd-content Verteilungsnetz (DE-588)4279392-0 s Übertragungsnetz (DE-588)4801279-8 s Monitorüberwachung (DE-588)4291501-6 s Zustandsschätzung (DE-588)4129826-3 s Zustandsüberwachung (DE-588)4369492-5 s Netzbelastung (DE-588)4194619-4 s Messgröße (DE-588)4169512-4 s Neuronales Netz (DE-588)4226127-2 s DE-604 kassel university press (DE-588)1066127425 pbl Energy management and power system operation Vol. 11 (DE-604)BV043191667 11 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032317692&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Menke, Jan-Hendrik A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements Energy management and power system operation Netzbelastung (DE-588)4194619-4 gnd Verteilungsnetz (DE-588)4279392-0 gnd Messgröße (DE-588)4169512-4 gnd Zustandsschätzung (DE-588)4129826-3 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Übertragungsnetz (DE-588)4801279-8 gnd Monitorüberwachung (DE-588)4291501-6 gnd |
| subject_GND | (DE-588)4194619-4 (DE-588)4279392-0 (DE-588)4169512-4 (DE-588)4129826-3 (DE-588)4369492-5 (DE-588)4226127-2 (DE-588)4801279-8 (DE-588)4291501-6 (DE-588)4113937-9 |
| title | A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements |
| title_auth | A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements |
| title_exact_search | A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements |
| title_exact_search_txtP | A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements |
| title_full | A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements Jan-Hendrik Menke |
| title_fullStr | A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements Jan-Hendrik Menke |
| title_full_unstemmed | A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements Jan-Hendrik Menke |
| title_short | A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements |
| title_sort | a comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements |
| topic | Netzbelastung (DE-588)4194619-4 gnd Verteilungsnetz (DE-588)4279392-0 gnd Messgröße (DE-588)4169512-4 gnd Zustandsschätzung (DE-588)4129826-3 gnd Zustandsüberwachung (DE-588)4369492-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Übertragungsnetz (DE-588)4801279-8 gnd Monitorüberwachung (DE-588)4291501-6 gnd |
| topic_facet | Netzbelastung Verteilungsnetz Messgröße Zustandsschätzung Zustandsüberwachung Neuronales Netz Übertragungsnetz Monitorüberwachung Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032317692&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV043191667 |
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