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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Main Authors: Xiaofeng Dong, Zhang Yuying, Jiang Tong
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8490648/
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spelling 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
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