Distributed Dispatch of Distribution Network Operators, Distributed Energy Resource Aggregators, and Distributed Energy Resources: A Three-Level Conditional Value-at-Risk Optimization Model
To enhance the participation enthusiasm of distributed energy resources (DERs) and DER aggregators in their demand response, this paper develops a three-level distributed scheduling model for the distribution network operators (DNO), DER aggregators, and DERs based on the conditional value-at-risk (...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Inventions |
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| Online Access: | https://www.mdpi.com/2411-5134/9/6/117 |
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| author | Qifeng Huang Hanmiao Cheng Zhong Zhuang Meimei Duan Kaijie Fang Yixuan Huang Liyu Wang |
| author_facet | Qifeng Huang Hanmiao Cheng Zhong Zhuang Meimei Duan Kaijie Fang Yixuan Huang Liyu Wang |
| author_sort | Qifeng Huang |
| collection | DOAJ |
| description | To enhance the participation enthusiasm of distributed energy resources (DERs) and DER aggregators in their demand response, this paper develops a three-level distributed scheduling model for the distribution network operators (DNO), DER aggregators, and DERs based on the conditional value-at-risk (CVaR) theory. First, a demand response model is established for the DNO, DER aggregators, and DERs. Next, we employ the analytical target cascading (ATC) method to construct a three-level distributed scheduling model, where incentive and compensation prices are shared as consensus variables across the model levels to amplify the influence of DER aggregators on incentive prices and DERs on compensation prices. Then, the photovoltaic output model is restructured using the CVaR theory to effectively measure the risk associated with photovoltaic output uncertainty. Finally, an analysis is conducted using the IEEE 33-node distribution network to validate the effectiveness of the proposed model. |
| format | Article |
| id | doaj-art-a4dd4a78c433486199a1cd621f76ea24 |
| institution | OA Journals |
| issn | 2411-5134 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Inventions |
| spelling | doaj-art-a4dd4a78c433486199a1cd621f76ea242025-08-20T02:00:28ZengMDPI AGInventions2411-51342024-11-019611710.3390/inventions9060117Distributed Dispatch of Distribution Network Operators, Distributed Energy Resource Aggregators, and Distributed Energy Resources: A Three-Level Conditional Value-at-Risk Optimization ModelQifeng Huang0Hanmiao Cheng1Zhong Zhuang2Meimei Duan3Kaijie Fang4Yixuan Huang5Liyu Wang6Marketing Service Center, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210016, ChinaMarketing Service Center, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210016, ChinaMarketing Service Center, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210016, ChinaMarketing Service Center, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210016, ChinaMarketing Service Center, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210016, ChinaMarketing Service Center, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210016, ChinaSchool of Electrical and Power Engineering, Hohai University, Nanjing 211100, ChinaTo enhance the participation enthusiasm of distributed energy resources (DERs) and DER aggregators in their demand response, this paper develops a three-level distributed scheduling model for the distribution network operators (DNO), DER aggregators, and DERs based on the conditional value-at-risk (CVaR) theory. First, a demand response model is established for the DNO, DER aggregators, and DERs. Next, we employ the analytical target cascading (ATC) method to construct a three-level distributed scheduling model, where incentive and compensation prices are shared as consensus variables across the model levels to amplify the influence of DER aggregators on incentive prices and DERs on compensation prices. Then, the photovoltaic output model is restructured using the CVaR theory to effectively measure the risk associated with photovoltaic output uncertainty. Finally, an analysis is conducted using the IEEE 33-node distribution network to validate the effectiveness of the proposed model.https://www.mdpi.com/2411-5134/9/6/117demand responseCVaRthree-level distributed scheduling model |
| spellingShingle | Qifeng Huang Hanmiao Cheng Zhong Zhuang Meimei Duan Kaijie Fang Yixuan Huang Liyu Wang Distributed Dispatch of Distribution Network Operators, Distributed Energy Resource Aggregators, and Distributed Energy Resources: A Three-Level Conditional Value-at-Risk Optimization Model Inventions demand response CVaR three-level distributed scheduling model |
| title | Distributed Dispatch of Distribution Network Operators, Distributed Energy Resource Aggregators, and Distributed Energy Resources: A Three-Level Conditional Value-at-Risk Optimization Model |
| title_full | Distributed Dispatch of Distribution Network Operators, Distributed Energy Resource Aggregators, and Distributed Energy Resources: A Three-Level Conditional Value-at-Risk Optimization Model |
| title_fullStr | Distributed Dispatch of Distribution Network Operators, Distributed Energy Resource Aggregators, and Distributed Energy Resources: A Three-Level Conditional Value-at-Risk Optimization Model |
| title_full_unstemmed | Distributed Dispatch of Distribution Network Operators, Distributed Energy Resource Aggregators, and Distributed Energy Resources: A Three-Level Conditional Value-at-Risk Optimization Model |
| title_short | Distributed Dispatch of Distribution Network Operators, Distributed Energy Resource Aggregators, and Distributed Energy Resources: A Three-Level Conditional Value-at-Risk Optimization Model |
| title_sort | distributed dispatch of distribution network operators distributed energy resource aggregators and distributed energy resources a three level conditional value at risk optimization model |
| topic | demand response CVaR three-level distributed scheduling model |
| url | https://www.mdpi.com/2411-5134/9/6/117 |
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