Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method
The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Wangjun [verfasserIn] Zhao, Zhongjun [verfasserIn] Chen, Yu [verfasserIn] Wu, Xiong [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2024 |
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| Übergeordnetes Werk: |
Enthalten in: Discover applied sciences - Springer International Publishing, 2024, 6(2024), 8 vom: 20. Juli |
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| Übergeordnetes Werk: |
volume:6 ; year:2024 ; number:8 ; day:20 ; month:07 |
| Links: |
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| DOI / URN: |
10.1007/s42452-024-06072-0 |
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| Katalog-ID: |
SPR056662203 |
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| 520 | |a The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract | ||
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10.1007/s42452-024-06072-0 doi (DE-627)SPR056662203 (SPR)s42452-024-06072-0-e DE-627 ger DE-627 rakwb eng Zhang, Wangjun verfasserin aut Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract Article Highlights Using Lagrange’s shadow price theory. Construct the index system with the underlying index as the constraint condition. The results of comprehensive evaluation of controllability of new power system are determined. Lagrangian function (dpeaa)DE-He213 New power system (dpeaa)DE-He213 Controllability assessment (dpeaa)DE-He213 Indicator system (dpeaa)DE-He213 Shadow price (dpeaa)DE-He213 Indicator weights (dpeaa)DE-He213 Zhao, Zhongjun verfasserin aut Chen, Yu verfasserin aut Wu, Xiong verfasserin aut Enthalten in Discover applied sciences Springer International Publishing, 2024 6(2024), 8 vom: 20. Juli Online-Ressource (DE-627)1882945751 (DE-600)3181295-8 3004-9261 nnns volume:6 year:2024 number:8 day:20 month:07 https://dx.doi.org/10.1007/s42452-024-06072-0 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2024 8 20 07 |
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10.1007/s42452-024-06072-0 doi (DE-627)SPR056662203 (SPR)s42452-024-06072-0-e DE-627 ger DE-627 rakwb eng Zhang, Wangjun verfasserin aut Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract Article Highlights Using Lagrange’s shadow price theory. Construct the index system with the underlying index as the constraint condition. The results of comprehensive evaluation of controllability of new power system are determined. Lagrangian function (dpeaa)DE-He213 New power system (dpeaa)DE-He213 Controllability assessment (dpeaa)DE-He213 Indicator system (dpeaa)DE-He213 Shadow price (dpeaa)DE-He213 Indicator weights (dpeaa)DE-He213 Zhao, Zhongjun verfasserin aut Chen, Yu verfasserin aut Wu, Xiong verfasserin aut Enthalten in Discover applied sciences Springer International Publishing, 2024 6(2024), 8 vom: 20. Juli Online-Ressource (DE-627)1882945751 (DE-600)3181295-8 3004-9261 nnns volume:6 year:2024 number:8 day:20 month:07 https://dx.doi.org/10.1007/s42452-024-06072-0 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2024 8 20 07 |
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10.1007/s42452-024-06072-0 doi (DE-627)SPR056662203 (SPR)s42452-024-06072-0-e DE-627 ger DE-627 rakwb eng Zhang, Wangjun verfasserin aut Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract Article Highlights Using Lagrange’s shadow price theory. Construct the index system with the underlying index as the constraint condition. The results of comprehensive evaluation of controllability of new power system are determined. Lagrangian function (dpeaa)DE-He213 New power system (dpeaa)DE-He213 Controllability assessment (dpeaa)DE-He213 Indicator system (dpeaa)DE-He213 Shadow price (dpeaa)DE-He213 Indicator weights (dpeaa)DE-He213 Zhao, Zhongjun verfasserin aut Chen, Yu verfasserin aut Wu, Xiong verfasserin aut Enthalten in Discover applied sciences Springer International Publishing, 2024 6(2024), 8 vom: 20. Juli Online-Ressource (DE-627)1882945751 (DE-600)3181295-8 3004-9261 nnns volume:6 year:2024 number:8 day:20 month:07 https://dx.doi.org/10.1007/s42452-024-06072-0 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2024 8 20 07 |
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10.1007/s42452-024-06072-0 doi (DE-627)SPR056662203 (SPR)s42452-024-06072-0-e DE-627 ger DE-627 rakwb eng Zhang, Wangjun verfasserin aut Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract Article Highlights Using Lagrange’s shadow price theory. Construct the index system with the underlying index as the constraint condition. The results of comprehensive evaluation of controllability of new power system are determined. Lagrangian function (dpeaa)DE-He213 New power system (dpeaa)DE-He213 Controllability assessment (dpeaa)DE-He213 Indicator system (dpeaa)DE-He213 Shadow price (dpeaa)DE-He213 Indicator weights (dpeaa)DE-He213 Zhao, Zhongjun verfasserin aut Chen, Yu verfasserin aut Wu, Xiong verfasserin aut Enthalten in Discover applied sciences Springer International Publishing, 2024 6(2024), 8 vom: 20. Juli Online-Ressource (DE-627)1882945751 (DE-600)3181295-8 3004-9261 nnns volume:6 year:2024 number:8 day:20 month:07 https://dx.doi.org/10.1007/s42452-024-06072-0 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2024 8 20 07 |
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10.1007/s42452-024-06072-0 doi (DE-627)SPR056662203 (SPR)s42452-024-06072-0-e DE-627 ger DE-627 rakwb eng Zhang, Wangjun verfasserin aut Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract Article Highlights Using Lagrange’s shadow price theory. Construct the index system with the underlying index as the constraint condition. The results of comprehensive evaluation of controllability of new power system are determined. Lagrangian function (dpeaa)DE-He213 New power system (dpeaa)DE-He213 Controllability assessment (dpeaa)DE-He213 Indicator system (dpeaa)DE-He213 Shadow price (dpeaa)DE-He213 Indicator weights (dpeaa)DE-He213 Zhao, Zhongjun verfasserin aut Chen, Yu verfasserin aut Wu, Xiong verfasserin aut Enthalten in Discover applied sciences Springer International Publishing, 2024 6(2024), 8 vom: 20. Juli Online-Ressource (DE-627)1882945751 (DE-600)3181295-8 3004-9261 nnns volume:6 year:2024 number:8 day:20 month:07 https://dx.doi.org/10.1007/s42452-024-06072-0 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2050 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2024 8 20 07 |
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Zhang, Wangjun |
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Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method Lagrangian function (dpeaa)DE-He213 New power system (dpeaa)DE-He213 Controllability assessment (dpeaa)DE-He213 Indicator system (dpeaa)DE-He213 Shadow price (dpeaa)DE-He213 Indicator weights (dpeaa)DE-He213 |
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Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method |
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The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract Article Highlights Using Lagrange’s shadow price theory. Construct the index system with the underlying index as the constraint condition. The results of comprehensive evaluation of controllability of new power system are determined. © The Author(s) 2024 |
| abstractGer |
The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract Article Highlights Using Lagrange’s shadow price theory. Construct the index system with the underlying index as the constraint condition. The results of comprehensive evaluation of controllability of new power system are determined. © The Author(s) 2024 |
| abstract_unstemmed |
The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract Article Highlights Using Lagrange’s shadow price theory. Construct the index system with the underlying index as the constraint condition. The results of comprehensive evaluation of controllability of new power system are determined. © The Author(s) 2024 |
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