Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model
Load and wind power scenarios are synthesized through the generalized dynamic factor model (GDFM), which represents the load and wind power as the sum of a periodic component, idiosyncratic noise component, and common component, where the GDFM preserves the correlation structure between load and win...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lee, Duehee [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
stochastic mixed integer programming |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on power systems - New York, NY : IEEE, 1986, 32(2017), 1, Seite 400-410 |
|---|---|
| Übergeordnetes Werk: |
volume:32 ; year:2017 ; number:1 ; pages:400-410 |
| Links: |
|---|
| DOI / URN: |
10.1109/TPWRS.2016.2562718 |
|---|
| Katalog-ID: |
OLC1988983193 |
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| 520 | |a Load and wind power scenarios are synthesized through the generalized dynamic factor model (GDFM), which represents the load and wind power as the sum of a periodic component, idiosyncratic noise component, and common component, where the GDFM preserves the correlation structure between load and wind. The common component consists of the dynamic shock, which is white noise, and the matrix polynomial, which represents the temporal and geographical correlation between load and wind power. Since the dimension of dynamic shocks is less than that of actual load and wind power, the GDFM requires fewer dimensions and variables than multivariate time series models. Scenarios are verified through statistical, spectral density, and correlation analysis. The usefulness of scenarios is also verified by calculating the total generation and transmission upgrade costs on the IEEE 300-bus benchmark. Using correlated scenarios results in higher generation and upgrade costs than using uncorrelated or weakly correlated scenarios. Therefore, correlated scenarios should be used in order to more accurately estimate power system planning costs. | ||
| 650 | 4 | |a Wind speed | |
| 650 | 4 | |a Load modeling | |
| 650 | 4 | |a load and wind power scenario | |
| 650 | 4 | |a Wind farms | |
| 650 | 4 | |a stochastic mixed integer programming | |
| 650 | 4 | |a Power system dynamics | |
| 650 | 4 | |a Generalized dynamic factor model | |
| 650 | 4 | |a Correlation | |
| 650 | 4 | |a Time series analysis | |
| 650 | 4 | |a Wind power generation | |
| 700 | 1 | |a Baldick, Ross |4 oth | |
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10.1109/TPWRS.2016.2562718 doi PQ20170206 (DE-627)OLC1988983193 (DE-599)GBVOLC1988983193 (PRQ)c966-784d8992cf3b4ef0d2e5271a358d3c26a5dcb8a6d1ee29e007edfb18b0ea08ed0 (KEY)0163645620170000032000100400loadandwindpowerscenariogenerationthroughthegenera DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl 53.30 bkl Lee, Duehee verfasserin aut Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Load and wind power scenarios are synthesized through the generalized dynamic factor model (GDFM), which represents the load and wind power as the sum of a periodic component, idiosyncratic noise component, and common component, where the GDFM preserves the correlation structure between load and wind. The common component consists of the dynamic shock, which is white noise, and the matrix polynomial, which represents the temporal and geographical correlation between load and wind power. Since the dimension of dynamic shocks is less than that of actual load and wind power, the GDFM requires fewer dimensions and variables than multivariate time series models. Scenarios are verified through statistical, spectral density, and correlation analysis. The usefulness of scenarios is also verified by calculating the total generation and transmission upgrade costs on the IEEE 300-bus benchmark. Using correlated scenarios results in higher generation and upgrade costs than using uncorrelated or weakly correlated scenarios. Therefore, correlated scenarios should be used in order to more accurately estimate power system planning costs. Wind speed Load modeling load and wind power scenario Wind farms stochastic mixed integer programming Power system dynamics Generalized dynamic factor model Correlation Time series analysis Wind power generation Baldick, Ross oth Enthalten in IEEE transactions on power systems New York, NY : IEEE, 1986 32(2017), 1, Seite 400-410 (DE-627)129582344 (DE-600)232866-5 (DE-576)015075893 0885-8950 nnns volume:32 year:2017 number:1 pages:400-410 http://dx.doi.org/10.1109/TPWRS.2016.2562718 Volltext http://ieeexplore.ieee.org/document/7466134 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_105 GBV_ILN_2014 GBV_ILN_2016 53.00 AVZ 53.30 AVZ AR 32 2017 1 400-410 |
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10.1109/TPWRS.2016.2562718 doi PQ20170206 (DE-627)OLC1988983193 (DE-599)GBVOLC1988983193 (PRQ)c966-784d8992cf3b4ef0d2e5271a358d3c26a5dcb8a6d1ee29e007edfb18b0ea08ed0 (KEY)0163645620170000032000100400loadandwindpowerscenariogenerationthroughthegenera DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl 53.30 bkl Lee, Duehee verfasserin aut Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Load and wind power scenarios are synthesized through the generalized dynamic factor model (GDFM), which represents the load and wind power as the sum of a periodic component, idiosyncratic noise component, and common component, where the GDFM preserves the correlation structure between load and wind. The common component consists of the dynamic shock, which is white noise, and the matrix polynomial, which represents the temporal and geographical correlation between load and wind power. Since the dimension of dynamic shocks is less than that of actual load and wind power, the GDFM requires fewer dimensions and variables than multivariate time series models. Scenarios are verified through statistical, spectral density, and correlation analysis. The usefulness of scenarios is also verified by calculating the total generation and transmission upgrade costs on the IEEE 300-bus benchmark. Using correlated scenarios results in higher generation and upgrade costs than using uncorrelated or weakly correlated scenarios. Therefore, correlated scenarios should be used in order to more accurately estimate power system planning costs. Wind speed Load modeling load and wind power scenario Wind farms stochastic mixed integer programming Power system dynamics Generalized dynamic factor model Correlation Time series analysis Wind power generation Baldick, Ross oth Enthalten in IEEE transactions on power systems New York, NY : IEEE, 1986 32(2017), 1, Seite 400-410 (DE-627)129582344 (DE-600)232866-5 (DE-576)015075893 0885-8950 nnns volume:32 year:2017 number:1 pages:400-410 http://dx.doi.org/10.1109/TPWRS.2016.2562718 Volltext http://ieeexplore.ieee.org/document/7466134 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_105 GBV_ILN_2014 GBV_ILN_2016 53.00 AVZ 53.30 AVZ AR 32 2017 1 400-410 |
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10.1109/TPWRS.2016.2562718 doi PQ20170206 (DE-627)OLC1988983193 (DE-599)GBVOLC1988983193 (PRQ)c966-784d8992cf3b4ef0d2e5271a358d3c26a5dcb8a6d1ee29e007edfb18b0ea08ed0 (KEY)0163645620170000032000100400loadandwindpowerscenariogenerationthroughthegenera DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl 53.30 bkl Lee, Duehee verfasserin aut Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Load and wind power scenarios are synthesized through the generalized dynamic factor model (GDFM), which represents the load and wind power as the sum of a periodic component, idiosyncratic noise component, and common component, where the GDFM preserves the correlation structure between load and wind. The common component consists of the dynamic shock, which is white noise, and the matrix polynomial, which represents the temporal and geographical correlation between load and wind power. Since the dimension of dynamic shocks is less than that of actual load and wind power, the GDFM requires fewer dimensions and variables than multivariate time series models. Scenarios are verified through statistical, spectral density, and correlation analysis. The usefulness of scenarios is also verified by calculating the total generation and transmission upgrade costs on the IEEE 300-bus benchmark. Using correlated scenarios results in higher generation and upgrade costs than using uncorrelated or weakly correlated scenarios. Therefore, correlated scenarios should be used in order to more accurately estimate power system planning costs. Wind speed Load modeling load and wind power scenario Wind farms stochastic mixed integer programming Power system dynamics Generalized dynamic factor model Correlation Time series analysis Wind power generation Baldick, Ross oth Enthalten in IEEE transactions on power systems New York, NY : IEEE, 1986 32(2017), 1, Seite 400-410 (DE-627)129582344 (DE-600)232866-5 (DE-576)015075893 0885-8950 nnns volume:32 year:2017 number:1 pages:400-410 http://dx.doi.org/10.1109/TPWRS.2016.2562718 Volltext http://ieeexplore.ieee.org/document/7466134 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_105 GBV_ILN_2014 GBV_ILN_2016 53.00 AVZ 53.30 AVZ AR 32 2017 1 400-410 |
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10.1109/TPWRS.2016.2562718 doi PQ20170206 (DE-627)OLC1988983193 (DE-599)GBVOLC1988983193 (PRQ)c966-784d8992cf3b4ef0d2e5271a358d3c26a5dcb8a6d1ee29e007edfb18b0ea08ed0 (KEY)0163645620170000032000100400loadandwindpowerscenariogenerationthroughthegenera DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl 53.30 bkl Lee, Duehee verfasserin aut Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Load and wind power scenarios are synthesized through the generalized dynamic factor model (GDFM), which represents the load and wind power as the sum of a periodic component, idiosyncratic noise component, and common component, where the GDFM preserves the correlation structure between load and wind. The common component consists of the dynamic shock, which is white noise, and the matrix polynomial, which represents the temporal and geographical correlation between load and wind power. Since the dimension of dynamic shocks is less than that of actual load and wind power, the GDFM requires fewer dimensions and variables than multivariate time series models. Scenarios are verified through statistical, spectral density, and correlation analysis. The usefulness of scenarios is also verified by calculating the total generation and transmission upgrade costs on the IEEE 300-bus benchmark. Using correlated scenarios results in higher generation and upgrade costs than using uncorrelated or weakly correlated scenarios. Therefore, correlated scenarios should be used in order to more accurately estimate power system planning costs. Wind speed Load modeling load and wind power scenario Wind farms stochastic mixed integer programming Power system dynamics Generalized dynamic factor model Correlation Time series analysis Wind power generation Baldick, Ross oth Enthalten in IEEE transactions on power systems New York, NY : IEEE, 1986 32(2017), 1, Seite 400-410 (DE-627)129582344 (DE-600)232866-5 (DE-576)015075893 0885-8950 nnns volume:32 year:2017 number:1 pages:400-410 http://dx.doi.org/10.1109/TPWRS.2016.2562718 Volltext http://ieeexplore.ieee.org/document/7466134 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_105 GBV_ILN_2014 GBV_ILN_2016 53.00 AVZ 53.30 AVZ AR 32 2017 1 400-410 |
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10.1109/TPWRS.2016.2562718 doi PQ20170206 (DE-627)OLC1988983193 (DE-599)GBVOLC1988983193 (PRQ)c966-784d8992cf3b4ef0d2e5271a358d3c26a5dcb8a6d1ee29e007edfb18b0ea08ed0 (KEY)0163645620170000032000100400loadandwindpowerscenariogenerationthroughthegenera DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl 53.30 bkl Lee, Duehee verfasserin aut Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Load and wind power scenarios are synthesized through the generalized dynamic factor model (GDFM), which represents the load and wind power as the sum of a periodic component, idiosyncratic noise component, and common component, where the GDFM preserves the correlation structure between load and wind. The common component consists of the dynamic shock, which is white noise, and the matrix polynomial, which represents the temporal and geographical correlation between load and wind power. Since the dimension of dynamic shocks is less than that of actual load and wind power, the GDFM requires fewer dimensions and variables than multivariate time series models. Scenarios are verified through statistical, spectral density, and correlation analysis. The usefulness of scenarios is also verified by calculating the total generation and transmission upgrade costs on the IEEE 300-bus benchmark. Using correlated scenarios results in higher generation and upgrade costs than using uncorrelated or weakly correlated scenarios. Therefore, correlated scenarios should be used in order to more accurately estimate power system planning costs. Wind speed Load modeling load and wind power scenario Wind farms stochastic mixed integer programming Power system dynamics Generalized dynamic factor model Correlation Time series analysis Wind power generation Baldick, Ross oth Enthalten in IEEE transactions on power systems New York, NY : IEEE, 1986 32(2017), 1, Seite 400-410 (DE-627)129582344 (DE-600)232866-5 (DE-576)015075893 0885-8950 nnns volume:32 year:2017 number:1 pages:400-410 http://dx.doi.org/10.1109/TPWRS.2016.2562718 Volltext http://ieeexplore.ieee.org/document/7466134 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_105 GBV_ILN_2014 GBV_ILN_2016 53.00 AVZ 53.30 AVZ AR 32 2017 1 400-410 |
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Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model |
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Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model |
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Lee, Duehee |
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IEEE transactions on power systems |
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10.1109/TPWRS.2016.2562718 |
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load and wind power scenario generation through the generalized dynamic factor model |
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Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model |
| abstract |
Load and wind power scenarios are synthesized through the generalized dynamic factor model (GDFM), which represents the load and wind power as the sum of a periodic component, idiosyncratic noise component, and common component, where the GDFM preserves the correlation structure between load and wind. The common component consists of the dynamic shock, which is white noise, and the matrix polynomial, which represents the temporal and geographical correlation between load and wind power. Since the dimension of dynamic shocks is less than that of actual load and wind power, the GDFM requires fewer dimensions and variables than multivariate time series models. Scenarios are verified through statistical, spectral density, and correlation analysis. The usefulness of scenarios is also verified by calculating the total generation and transmission upgrade costs on the IEEE 300-bus benchmark. Using correlated scenarios results in higher generation and upgrade costs than using uncorrelated or weakly correlated scenarios. Therefore, correlated scenarios should be used in order to more accurately estimate power system planning costs. |
| abstractGer |
Load and wind power scenarios are synthesized through the generalized dynamic factor model (GDFM), which represents the load and wind power as the sum of a periodic component, idiosyncratic noise component, and common component, where the GDFM preserves the correlation structure between load and wind. The common component consists of the dynamic shock, which is white noise, and the matrix polynomial, which represents the temporal and geographical correlation between load and wind power. Since the dimension of dynamic shocks is less than that of actual load and wind power, the GDFM requires fewer dimensions and variables than multivariate time series models. Scenarios are verified through statistical, spectral density, and correlation analysis. The usefulness of scenarios is also verified by calculating the total generation and transmission upgrade costs on the IEEE 300-bus benchmark. Using correlated scenarios results in higher generation and upgrade costs than using uncorrelated or weakly correlated scenarios. Therefore, correlated scenarios should be used in order to more accurately estimate power system planning costs. |
| abstract_unstemmed |
Load and wind power scenarios are synthesized through the generalized dynamic factor model (GDFM), which represents the load and wind power as the sum of a periodic component, idiosyncratic noise component, and common component, where the GDFM preserves the correlation structure between load and wind. The common component consists of the dynamic shock, which is white noise, and the matrix polynomial, which represents the temporal and geographical correlation between load and wind power. Since the dimension of dynamic shocks is less than that of actual load and wind power, the GDFM requires fewer dimensions and variables than multivariate time series models. Scenarios are verified through statistical, spectral density, and correlation analysis. The usefulness of scenarios is also verified by calculating the total generation and transmission upgrade costs on the IEEE 300-bus benchmark. Using correlated scenarios results in higher generation and upgrade costs than using uncorrelated or weakly correlated scenarios. Therefore, correlated scenarios should be used in order to more accurately estimate power system planning costs. |
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| title_short |
Load and Wind Power Scenario Generation Through the Generalized Dynamic Factor Model |
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http://dx.doi.org/10.1109/TPWRS.2016.2562718 http://ieeexplore.ieee.org/document/7466134 |
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Baldick, Ross |
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2024-07-03T19:58:06.653Z |
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