A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations
Traditional clustering methods based on source-load information struggle to accurately describe the time-sequenced operational characteristics of renewable energy power systems. To address this， a typical scenario generation method for renewable energy power systems based on time-sequenced operation...
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zhejiang electric power
2025-05-01
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| Series: | Zhejiang dianli |
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| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=3add38f0-48f3-4248-ac33-f4ede11cedad |
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| author | PENG Zhuyi SONG Shan XU Sixuan GU Kanghui GE Yi WANG Quanquan SUN Wentao |
| author_facet | PENG Zhuyi SONG Shan XU Sixuan GU Kanghui GE Yi WANG Quanquan SUN Wentao |
| author_sort | PENG Zhuyi |
| collection | DOAJ |
| description | Traditional clustering methods based on source-load information struggle to accurately describe the time-sequenced operational characteristics of renewable energy power systems. To address this， a typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations is proposed， considering both the AC power flow distribution and startup-shutoff strategies for units. Firstly， a unit combination model that incorporates AC power flow constraints is constructed， and a two-stage solution strategy based on second-order cone relaxation is adopted to perform 8，760-hour time-sequenced simulations in the multi-period optimal power flow model. Secondly， based on data characteristics such as renewable energy output levels， line congestion conditions， and unit startup-shutoff from the time-sequenced simulation results， an improved K-means algorithm is employed to extract typical scenarios. Finally， the validity of the proposed method is verified through a case study， providing a reference for renewable energy power system planning and scheduling. |
| format | Article |
| id | doaj-art-a9cfab5ceede4b2eace01a0793d0865a |
| institution | DOAJ |
| issn | 1007-1881 |
| language | zho |
| publishDate | 2025-05-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj-art-a9cfab5ceede4b2eace01a0793d0865a2025-08-20T03:07:27Zzhozhejiang electric powerZhejiang dianli1007-18812025-05-01445667510.19585/j.zjdl.2025050071007-1881（2025）05-0066-10A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulationsPENG Zhuyi0SONG Shan1XU Sixuan2GU Kanghui3GE Yi4WANG Quanquan5SUN Wentao6State Grid Jiangsu Electric Power Co.， Ltd. Economic and Technical Research Institute， Nanjing 210009， ChinaState Grid Jiangsu Electric Power Co.， Ltd. Economic and Technical Research Institute， Nanjing 210009， ChinaState Grid Jiangsu Electric Power Co.， Ltd. Economic and Technical Research Institute， Nanjing 210009， ChinaChina Energy Construction Group Jiangsu Electric Power Design Institute Co.， Ltd.， Nanjing 210018， ChinaState Grid Jiangsu Electric Power Co.， Ltd. Economic and Technical Research Institute， Nanjing 210009， ChinaState Grid Jiangsu Electric Power Co.， Ltd. Economic and Technical Research Institute， Nanjing 210009， ChinaState Grid Jiangsu Electric Power Co.， Ltd. Economic and Technical Research Institute， Nanjing 210009， ChinaTraditional clustering methods based on source-load information struggle to accurately describe the time-sequenced operational characteristics of renewable energy power systems. To address this， a typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations is proposed， considering both the AC power flow distribution and startup-shutoff strategies for units. Firstly， a unit combination model that incorporates AC power flow constraints is constructed， and a two-stage solution strategy based on second-order cone relaxation is adopted to perform 8，760-hour time-sequenced simulations in the multi-period optimal power flow model. Secondly， based on data characteristics such as renewable energy output levels， line congestion conditions， and unit startup-shutoff from the time-sequenced simulation results， an improved K-means algorithm is employed to extract typical scenarios. Finally， the validity of the proposed method is verified through a case study， providing a reference for renewable energy power system planning and scheduling.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=3add38f0-48f3-4248-ac33-f4ede11cedadfull-time sequence simulationoptimal power flowunit combinationsecond-order cone relaxationtypical scenario |
| spellingShingle | PENG Zhuyi SONG Shan XU Sixuan GU Kanghui GE Yi WANG Quanquan SUN Wentao A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations Zhejiang dianli full-time sequence simulation optimal power flow unit combination second-order cone relaxation typical scenario |
| title | A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations |
| title_full | A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations |
| title_fullStr | A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations |
| title_full_unstemmed | A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations |
| title_short | A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations |
| title_sort | typical scenario generation method for renewable energy power systems based on time sequenced operational simulations |
| topic | full-time sequence simulation optimal power flow unit combination second-order cone relaxation typical scenario |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=3add38f0-48f3-4248-ac33-f4ede11cedad |
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