Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response
In order to meet the challenges brought by the high proportion of new energy access in the future, it is necessary to fully tap the adjustable potential of different types of scheduling resources. Therefore, a multi-time scale optimal scheduling strategy of source-load-storage considering demand res...
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| Format: | Article |
| Language: | English |
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Editorial Department of Power Generation Technology
2023-04-01
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| Series: | 发电技术 |
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| Online Access: | https://www.pgtjournal.com/article/2023/2096-4528/2096-4528-2023-44-2-253.shtml |
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| author | YANG Xiyong ZHANG Yangfei LIN Gang ZHANG Yuzhuo AN Yunzhan YANG Haotian |
| author_facet | YANG Xiyong ZHANG Yangfei LIN Gang ZHANG Yuzhuo AN Yunzhan YANG Haotian |
| author_sort | YANG Xiyong |
| collection | DOAJ |
| description | In order to meet the challenges brought by the high proportion of new energy access in the future, it is necessary to fully tap the adjustable potential of different types of scheduling resources. Therefore, a multi-time scale optimal scheduling strategy of source-load-storage considering demand response was proposed to improve the economy and reliability of system operation by participating in the coordinated optimal scheduling of power grid. Firstly, the characteristics of different types of adjustable resources were analyzed, and the overall framework of multi-time scale rolling scheduling was constructed. The overall scheduling was divided into two stages: day-ahead scheduling and intra-day scheduling. Secondly, based on the multi-scenario stochastic programming method, the day-ahead and intra-day optimal scheduling models with the goal of minimizing the total operating cost of the system were established, and the models were solved under the premise of ensuring the reliable operation of the system. Finally, the improved IEEE-30 node system was used for simulation analysis to verify the feasibility and effectiveness of the proposed strategy. |
| format | Article |
| id | doaj-art-765ab3e5c31e4d3f9865253bb7375297 |
| institution | OA Journals |
| issn | 2096-4528 |
| language | English |
| publishDate | 2023-04-01 |
| publisher | Editorial Department of Power Generation Technology |
| record_format | Article |
| series | 发电技术 |
| spelling | doaj-art-765ab3e5c31e4d3f9865253bb73752972025-08-20T01:47:26ZengEditorial Department of Power Generation Technology发电技术2096-45282023-04-0144225326010.12096/j.2096-4528.pgt.221192096-4528（2023）02-0253-08Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand ResponseYANG Xiyong0ZHANG Yangfei1LIN Gang2ZHANG Yuzhuo3AN Yunzhan4YANG Haotian5School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, Jiangsu Province, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, Jiangsu Province, ChinaQuanzhou Power Supply Company, Fujian Electric Power Co., Ltd., Quanzhou 362000, Fujian Province, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, Jiangsu Province, ChinaShaoxing Power Supply Company, Zhejiang Electric Power Co., Ltd., Shaoxing 312000, Zhejiang Province, ChinaShaoxing Power Supply Company, Zhejiang Electric Power Co., Ltd., Shaoxing 312000, Zhejiang Province, ChinaIn order to meet the challenges brought by the high proportion of new energy access in the future, it is necessary to fully tap the adjustable potential of different types of scheduling resources. Therefore, a multi-time scale optimal scheduling strategy of source-load-storage considering demand response was proposed to improve the economy and reliability of system operation by participating in the coordinated optimal scheduling of power grid. Firstly, the characteristics of different types of adjustable resources were analyzed, and the overall framework of multi-time scale rolling scheduling was constructed. The overall scheduling was divided into two stages: day-ahead scheduling and intra-day scheduling. Secondly, based on the multi-scenario stochastic programming method, the day-ahead and intra-day optimal scheduling models with the goal of minimizing the total operating cost of the system were established, and the models were solved under the premise of ensuring the reliable operation of the system. Finally, the improved IEEE-30 node system was used for simulation analysis to verify the feasibility and effectiveness of the proposed strategy.https://www.pgtjournal.com/article/2023/2096-4528/2096-4528-2023-44-2-253.shtmlnew energysource-load-storagedemand responsemulti-time scalerolling schedulingmulti-scenario stochastic planning |
| spellingShingle | YANG Xiyong ZHANG Yangfei LIN Gang ZHANG Yuzhuo AN Yunzhan YANG Haotian Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response 发电技术 new energy source-load-storage demand response multi-time scale rolling scheduling multi-scenario stochastic planning |
| title | Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response |
| title_full | Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response |
| title_fullStr | Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response |
| title_full_unstemmed | Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response |
| title_short | Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response |
| title_sort | multi time scale collaborative optimal scheduling strategy for source load storage considering demand response |
| topic | new energy source-load-storage demand response multi-time scale rolling scheduling multi-scenario stochastic planning |
| url | https://www.pgtjournal.com/article/2023/2096-4528/2096-4528-2023-44-2-253.shtml |
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