Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition
Deployment of battery energy storage (BES) in active distribution networks (ADNs) can provide many benefits in terms of energy management and voltage regulation. In this study, a stochastic optimal BES planning method considering conservation voltage reduction (CVR) is proposed for ADN with high‐lev...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-10-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-gtd.2017.0508 |
| _version_ | 1811162668174671872 |
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| author | Yongxi Zhang Shuyun Ren Zhao Yang Dong Yan Xu Ke Meng Yu Zheng |
| author_facet | Yongxi Zhang Shuyun Ren Zhao Yang Dong Yan Xu Ke Meng Yu Zheng |
| author_sort | Yongxi Zhang |
| collection | DOAJ |
| description | Deployment of battery energy storage (BES) in active distribution networks (ADNs) can provide many benefits in terms of energy management and voltage regulation. In this study, a stochastic optimal BES planning method considering conservation voltage reduction (CVR) is proposed for ADN with high‐level renewable energy resources. The proposed method aims to determine the optimal BES sizing and location to minimise the total investment and operation cost considering energy saving achieved by CVR, while satisfying system operational constraints in the presence of stochastic renewable power generation. The uncertainty of load composition is also modelled through scenario analysis. The proposed planning scheme is tested in a modified IEEE 15‐bus system and 43‐bus radial system, respectively. The numerical results validate that the combination of CVR and BES can achieve more energy savings. |
| first_indexed | 2024-04-10T06:32:59Z |
| format | Article |
| id | doaj.art-7b80fedc4f6341518889c30e500145ce |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-10T06:32:59Z |
| publishDate | 2017-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-7b80fedc4f6341518889c30e500145ce2023-03-01T04:51:01ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952017-10-0111153862387010.1049/iet-gtd.2017.0508Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load compositionYongxi Zhang0Shuyun Ren1Zhao Yang Dong2Yan Xu3Ke Meng4Yu Zheng5School of Electrical and Information EngineeringChangsha University of Science and TechnologyChangsha410114People's Republic of ChinaHong Kong Polytechnic UniversityKowloonHong KongSchool of Electrical Engineering and TelecommunicationUniversity of New South WalesSydneyNSW2052AustraliaSchool of Electrical and Electronic EngineeringNanyang Technological University639798SingaporeSingaporeSchool of Electrical and Information Engineering, University of SydneySydneyNSW2006AustraliaElectric Power Research InstituteChina Southern Power Grid CompanyGuangzhou510080People's Republic of ChinaDeployment of battery energy storage (BES) in active distribution networks (ADNs) can provide many benefits in terms of energy management and voltage regulation. In this study, a stochastic optimal BES planning method considering conservation voltage reduction (CVR) is proposed for ADN with high‐level renewable energy resources. The proposed method aims to determine the optimal BES sizing and location to minimise the total investment and operation cost considering energy saving achieved by CVR, while satisfying system operational constraints in the presence of stochastic renewable power generation. The uncertainty of load composition is also modelled through scenario analysis. The proposed planning scheme is tested in a modified IEEE 15‐bus system and 43‐bus radial system, respectively. The numerical results validate that the combination of CVR and BES can achieve more energy savings.https://doi.org/10.1049/iet-gtd.2017.0508optimal battery energy storage placementconservation voltage reductionstochastic load compositionBES deploymentactive distribution networksADN |
| spellingShingle | Yongxi Zhang Shuyun Ren Zhao Yang Dong Yan Xu Ke Meng Yu Zheng Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition IET Generation, Transmission & Distribution optimal battery energy storage placement conservation voltage reduction stochastic load composition BES deployment active distribution networks ADN |
| title | Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition |
| title_full | Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition |
| title_fullStr | Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition |
| title_full_unstemmed | Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition |
| title_short | Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition |
| title_sort | optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition |
| topic | optimal battery energy storage placement conservation voltage reduction stochastic load composition BES deployment active distribution networks ADN |
| url | https://doi.org/10.1049/iet-gtd.2017.0508 |
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