Planning-Operation Co-Optimization Model of Active Distribution Network With Energy Storage Considering the Lifetime of Batteries
In this paper, a multi-stage planning-operation co-optimization model of an active distribution network (ADN) integrated with energy storage systems (ESSs) is proposed, in which the lifetime of batteries is also considered. By adopting piecewise linearized battery lifetime model and approximate powe...
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doaj-d966583c7bce45418b79ef3b33bb1bc22021-03-29T21:32:28ZengIEEEIEEE Access2169-35362018-01-016598225983210.1109/ACCESS.2018.28751738490648Planning-Operation Co-Optimization Model of Active Distribution Network With Energy Storage Considering the Lifetime of BatteriesXiaofeng Dong0https://orcid.org/0000-0003-4801-7963Zhang Yuying1Jiang Tong2Department of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaDepartment of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaDepartment of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaIn this paper, a multi-stage planning-operation co-optimization model of an active distribution network (ADN) integrated with energy storage systems (ESSs) is proposed, in which the lifetime of batteries is also considered. By adopting piecewise linearized battery lifetime model and approximate power balance constraints based on Kirchhoff's Current Law and Kirchhoff's Voltage Law, the problem is reconstructed as a mixed integer linear programming model. This model considers the bi-directional power flows in the ADN, multi-stage planning logical constraints, and the replacement/addition of feeders/ESS. In addition, the cost of construction, operation, power trading, ESS lifetime loss, and lost load are included in the objective function. Moreover, Benders decomposition is utilized to improve the convergence speed of the model, which becomes difficult to solve due to the complex battery lifetime evaluation. Case studies based on a fictitious 18-node ADN demonstrate the effectiveness of the proposed method, which produces economic planning result considering the battery lifetime for an ADN with ESS.https://ieeexplore.ieee.org/document/8490648/Active distribution networkco-optimizationenergy storage systemsESS lifetime |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaofeng Dong Zhang Yuying Jiang Tong |
spellingShingle |
Xiaofeng Dong Zhang Yuying Jiang Tong Planning-Operation Co-Optimization Model of Active Distribution Network With Energy Storage Considering the Lifetime of Batteries IEEE Access Active distribution network co-optimization energy storage systems ESS lifetime |
author_facet |
Xiaofeng Dong Zhang Yuying Jiang Tong |
author_sort |
Xiaofeng Dong |
title |
Planning-Operation Co-Optimization Model of Active Distribution Network With Energy Storage Considering the Lifetime of Batteries |
title_short |
Planning-Operation Co-Optimization Model of Active Distribution Network With Energy Storage Considering the Lifetime of Batteries |
title_full |
Planning-Operation Co-Optimization Model of Active Distribution Network With Energy Storage Considering the Lifetime of Batteries |
title_fullStr |
Planning-Operation Co-Optimization Model of Active Distribution Network With Energy Storage Considering the Lifetime of Batteries |
title_full_unstemmed |
Planning-Operation Co-Optimization Model of Active Distribution Network With Energy Storage Considering the Lifetime of Batteries |
title_sort |
planning-operation co-optimization model of active distribution network with energy storage considering the lifetime of batteries |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
In this paper, a multi-stage planning-operation co-optimization model of an active distribution network (ADN) integrated with energy storage systems (ESSs) is proposed, in which the lifetime of batteries is also considered. By adopting piecewise linearized battery lifetime model and approximate power balance constraints based on Kirchhoff's Current Law and Kirchhoff's Voltage Law, the problem is reconstructed as a mixed integer linear programming model. This model considers the bi-directional power flows in the ADN, multi-stage planning logical constraints, and the replacement/addition of feeders/ESS. In addition, the cost of construction, operation, power trading, ESS lifetime loss, and lost load are included in the objective function. Moreover, Benders decomposition is utilized to improve the convergence speed of the model, which becomes difficult to solve due to the complex battery lifetime evaluation. Case studies based on a fictitious 18-node ADN demonstrate the effectiveness of the proposed method, which produces economic planning result considering the battery lifetime for an ADN with ESS. |
topic |
Active distribution network co-optimization energy storage systems ESS lifetime |
url |
https://ieeexplore.ieee.org/document/8490648/ |
work_keys_str_mv |
AT xiaofengdong planningoperationcooptimizationmodelofactivedistributionnetworkwithenergystorageconsideringthelifetimeofbatteries AT zhangyuying planningoperationcooptimizationmodelofactivedistributionnetworkwithenergystorageconsideringthelifetimeofbatteries AT jiangtong planningoperationcooptimizationmodelofactivedistributionnetworkwithenergystorageconsideringthelifetimeofbatteries |
_version_ |
1724192808389050368 |