Parameterized Modeling and Planning of Distributed Energy Storage in Active Distribution Networks
In recent years, distributed energy storage (DES) has experienced rapid growth and has been widely applied in active distribution networks (ADNs). Owing to the close correlation between the characteristics and the application scenarios, DES modeling needs to be parameterized separately for various a...
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doaj-2384e9084e254337a2b0c8ae9f223c9c2020-11-24T20:42:09ZengMDPI AGApplied Sciences2076-34172019-04-0198164310.3390/app9081643app9081643Parameterized Modeling and Planning of Distributed Energy Storage in Active Distribution NetworksTianyu Zhao0Hao Yu1Guanyu Song2Chongbo Sun3Peng Li4Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaState Grid Economic and Technological Research Institute Co. Ltd., Beijing 102209, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaIn recent years, distributed energy storage (DES) has experienced rapid growth and has been widely applied in active distribution networks (ADNs). Owing to the close correlation between the characteristics and the application scenarios, DES modeling needs to be parameterized separately for various application demands. In this paper, a parameterized model for optimal DES planning in ADNs is proposed. The typical scenarios for DES planning are generated by the clustering technique, containing the patterns of load demand, wind turbine output and photovoltaic output. Secondly, an optimal planning model of DES considering parameterized characteristics is established, which is essentially a mixed integer non-linear optimization problem. Then, the model is converted to a mixed-integer second-order cone programming model, which can be solved efficiently by available commercial software. Finally, case studies on the modified IEEE 33-node system and IEEE 123-node system verify the efficiency of the proposed method, and the effects of DES planning are validated by two evaluation indexes.https://www.mdpi.com/2076-3417/9/8/1643distributed energy storage (DES)active distribution networks (ADNs)optimal planningmixed-integer second-order cone programming (MISOCP) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tianyu Zhao Hao Yu Guanyu Song Chongbo Sun Peng Li |
spellingShingle |
Tianyu Zhao Hao Yu Guanyu Song Chongbo Sun Peng Li Parameterized Modeling and Planning of Distributed Energy Storage in Active Distribution Networks Applied Sciences distributed energy storage (DES) active distribution networks (ADNs) optimal planning mixed-integer second-order cone programming (MISOCP) |
author_facet |
Tianyu Zhao Hao Yu Guanyu Song Chongbo Sun Peng Li |
author_sort |
Tianyu Zhao |
title |
Parameterized Modeling and Planning of Distributed Energy Storage in Active Distribution Networks |
title_short |
Parameterized Modeling and Planning of Distributed Energy Storage in Active Distribution Networks |
title_full |
Parameterized Modeling and Planning of Distributed Energy Storage in Active Distribution Networks |
title_fullStr |
Parameterized Modeling and Planning of Distributed Energy Storage in Active Distribution Networks |
title_full_unstemmed |
Parameterized Modeling and Planning of Distributed Energy Storage in Active Distribution Networks |
title_sort |
parameterized modeling and planning of distributed energy storage in active distribution networks |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2019-04-01 |
description |
In recent years, distributed energy storage (DES) has experienced rapid growth and has been widely applied in active distribution networks (ADNs). Owing to the close correlation between the characteristics and the application scenarios, DES modeling needs to be parameterized separately for various application demands. In this paper, a parameterized model for optimal DES planning in ADNs is proposed. The typical scenarios for DES planning are generated by the clustering technique, containing the patterns of load demand, wind turbine output and photovoltaic output. Secondly, an optimal planning model of DES considering parameterized characteristics is established, which is essentially a mixed integer non-linear optimization problem. Then, the model is converted to a mixed-integer second-order cone programming model, which can be solved efficiently by available commercial software. Finally, case studies on the modified IEEE 33-node system and IEEE 123-node system verify the efficiency of the proposed method, and the effects of DES planning are validated by two evaluation indexes. |
topic |
distributed energy storage (DES) active distribution networks (ADNs) optimal planning mixed-integer second-order cone programming (MISOCP) |
url |
https://www.mdpi.com/2076-3417/9/8/1643 |
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