Credit-Based Distributed Real-Time Energy Storage Sharing Management
In this paper, energy storage sharing among a group of cooperative households with integrated renewable generations in a grid-connected microgrid is studied. In such a microgrid, a group of households, who are willing to cooperatively operate a shared energy storage via a central coordinator, aims t...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8938754/ |
| _version_ | 1818349471426150400 |
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| author | Hailing Zhu Khmaies Ouahada |
| author_facet | Hailing Zhu Khmaies Ouahada |
| author_sort | Hailing Zhu |
| collection | DOAJ |
| description | In this paper, energy storage sharing among a group of cooperative households with integrated renewable generations in a grid-connected microgrid is studied. In such a microgrid, a group of households, who are willing to cooperatively operate a shared energy storage via a central coordinator, aims to minimize their long term time-averaged costs, by jointly taking into account the operational constraints of the shared energy storage, the stochastic solar power generations and the time-varying load demands from all households, as well as the fluctuating electricity prices. This energy management problem, which comprises storage management and load control, is first formulated as a constrained stochastic programming problem. Based on the Lyapunov optimization theory, a distributed real-time sharing control algorithm is proposed to solve the constrained stochastic programming problem without requiring any statistical knowledge of the stochastic renewable energy generations and the uncertain power loads. The credit-based distributed sharing algorithm, in which each household independently solves a simple convex optimization problem without requiring any statistics of the system, is designed to quickly adapt to the system dynamics while facilitating a fair allocation of the shared energy storage with respect to individual households' energy contributions. The performance of the proposed low-complexity distributed sharing algorithm is evaluated via theoretical analysis. Numerical simulations using a practical system setup are conducted to investigate the effectiveness of the proposed sharing control algorithm in terms of energy cost saving and fairness. The simulation results show that the proposed credit-based distributed sharing algorithm can save power consumption cost by coordinating the use of the shared battery among households in a fair manner while improving the utilization of renewable energy generation. |
| first_indexed | 2024-12-13T18:06:29Z |
| format | Article |
| id | doaj.art-7f99d4c8f3774b92838c601234314619 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T18:06:29Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7f99d4c8f3774b92838c6012343146192022-12-21T23:36:04ZengIEEEIEEE Access2169-35362019-01-01718582118583810.1109/ACCESS.2019.29613898938754Credit-Based Distributed Real-Time Energy Storage Sharing ManagementHailing Zhu0https://orcid.org/0000-0003-4022-6592Khmaies Ouahada1https://orcid.org/0000-0002-8462-5061Department of Electrical and Electronic Engineering Science, University of Johannesburg, Auckland Park, South AfricaDepartment of Electrical and Electronic Engineering Science, University of Johannesburg, Auckland Park, South AfricaIn this paper, energy storage sharing among a group of cooperative households with integrated renewable generations in a grid-connected microgrid is studied. In such a microgrid, a group of households, who are willing to cooperatively operate a shared energy storage via a central coordinator, aims to minimize their long term time-averaged costs, by jointly taking into account the operational constraints of the shared energy storage, the stochastic solar power generations and the time-varying load demands from all households, as well as the fluctuating electricity prices. This energy management problem, which comprises storage management and load control, is first formulated as a constrained stochastic programming problem. Based on the Lyapunov optimization theory, a distributed real-time sharing control algorithm is proposed to solve the constrained stochastic programming problem without requiring any statistical knowledge of the stochastic renewable energy generations and the uncertain power loads. The credit-based distributed sharing algorithm, in which each household independently solves a simple convex optimization problem without requiring any statistics of the system, is designed to quickly adapt to the system dynamics while facilitating a fair allocation of the shared energy storage with respect to individual households' energy contributions. The performance of the proposed low-complexity distributed sharing algorithm is evaluated via theoretical analysis. Numerical simulations using a practical system setup are conducted to investigate the effectiveness of the proposed sharing control algorithm in terms of energy cost saving and fairness. The simulation results show that the proposed credit-based distributed sharing algorithm can save power consumption cost by coordinating the use of the shared battery among households in a fair manner while improving the utilization of renewable energy generation.https://ieeexplore.ieee.org/document/8938754/Energy managementLyapunov optimizationenergy storage sharingsmart grid |
| spellingShingle | Hailing Zhu Khmaies Ouahada Credit-Based Distributed Real-Time Energy Storage Sharing Management IEEE Access Energy management Lyapunov optimization energy storage sharing smart grid |
| title | Credit-Based Distributed Real-Time Energy Storage Sharing Management |
| title_full | Credit-Based Distributed Real-Time Energy Storage Sharing Management |
| title_fullStr | Credit-Based Distributed Real-Time Energy Storage Sharing Management |
| title_full_unstemmed | Credit-Based Distributed Real-Time Energy Storage Sharing Management |
| title_short | Credit-Based Distributed Real-Time Energy Storage Sharing Management |
| title_sort | credit based distributed real time energy storage sharing management |
| topic | Energy management Lyapunov optimization energy storage sharing smart grid |
| url | https://ieeexplore.ieee.org/document/8938754/ |
| work_keys_str_mv | AT hailingzhu creditbaseddistributedrealtimeenergystoragesharingmanagement AT khmaiesouahada creditbaseddistributedrealtimeenergystoragesharingmanagement |