Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated Uncertainties
This paper proposes a stochastic programming (SP) method for coordinated operation of distributed energy resources (DERs) in the unbalanced active distribution network (ADN) with diverse correlated uncertainties. First, the three-phase branch flow is modeled to characterize the unbalanced nature of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10018860/ |
| _version_ | 1797902231839703040 |
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| author | Ruoxuan Leng Zhengmao Li Yan Xu |
| author_facet | Ruoxuan Leng Zhengmao Li Yan Xu |
| author_sort | Ruoxuan Leng |
| collection | DOAJ |
| description | This paper proposes a stochastic programming (SP) method for coordinated operation of distributed energy resources (DERs) in the unbalanced active distribution network (ADN) with diverse correlated uncertainties. First, the three-phase branch flow is modeled to characterize the unbalanced nature of the ADN, schedule DER for three phases, and derive a realistic DER allocation. Then, both active and reactive power resources are co-optimized for voltage regulation and power loss reduction. Second, the battery degradation is considered to model the aging cost for each charging or discharging event, leading to a more realistic cost estimation. Further, copula-based uncertainty modeling is applied to capture the correlations between renewable generation and power loads, and the two-stage SP method is then used to get final solutions. Finally, numerical case studies are conducted on an IEEE 34- bus three-phase ADN, verifying that the proposed method can effectively reduce the system cost and co-optimize the active and reactive power. |
| first_indexed | 2024-04-10T09:14:27Z |
| format | Article |
| id | doaj.art-87dfdc7540fd43dfad0d8812b5df9207 |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-04-10T09:14:27Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-87dfdc7540fd43dfad0d8812b5df92072023-02-21T00:03:34ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202023-01-0111112013110.35833/MPCE.2022.00051010018860Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated UncertaintiesRuoxuan Leng0Zhengmao Li1Yan Xu2School of Electrical and Electronic Engineering, Nanyang Technological University,SingaporeSchool of Electrical and Electronic Engineering, Nanyang Technological University,SingaporeSchool of Electrical and Electronic Engineering, Nanyang Technological University,SingaporeThis paper proposes a stochastic programming (SP) method for coordinated operation of distributed energy resources (DERs) in the unbalanced active distribution network (ADN) with diverse correlated uncertainties. First, the three-phase branch flow is modeled to characterize the unbalanced nature of the ADN, schedule DER for three phases, and derive a realistic DER allocation. Then, both active and reactive power resources are co-optimized for voltage regulation and power loss reduction. Second, the battery degradation is considered to model the aging cost for each charging or discharging event, leading to a more realistic cost estimation. Further, copula-based uncertainty modeling is applied to capture the correlations between renewable generation and power loads, and the two-stage SP method is then used to get final solutions. Finally, numerical case studies are conducted on an IEEE 34- bus three-phase ADN, verifying that the proposed method can effectively reduce the system cost and co-optimize the active and reactive power.https://ieeexplore.ieee.org/document/10018860/Active distribution network (ADN)two-stage stochastic programming (SP)uncertaintiesvoltage/var control (VVC)battery degradation |
| spellingShingle | Ruoxuan Leng Zhengmao Li Yan Xu Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated Uncertainties Journal of Modern Power Systems and Clean Energy Active distribution network (ADN) two-stage stochastic programming (SP) uncertainties voltage/var control (VVC) battery degradation |
| title | Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated Uncertainties |
| title_full | Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated Uncertainties |
| title_fullStr | Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated Uncertainties |
| title_full_unstemmed | Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated Uncertainties |
| title_short | Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated Uncertainties |
| title_sort | two stage stochastic programming for coordinated operation of distributed energy resources in unbalanced active distribution networks with diverse correlated uncertainties |
| topic | Active distribution network (ADN) two-stage stochastic programming (SP) uncertainties voltage/var control (VVC) battery degradation |
| url | https://ieeexplore.ieee.org/document/10018860/ |
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