Real-Time Active-Reactive Optimal Power Flow with Flexible Operation of Battery Storage Systems
In this paper, a multi-phase multi-time-scale real-time dynamic active-reactive optimal power flow (RT-DAR-OPF) framework is developed to optimally deal with spontaneous changes in wind power in distribution networks (DNs) with battery storage systems (BSSs). The most challenging issue hereby is tha...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/7/1697 |
| _version_ | 1827719368260190208 |
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| author | Erfan Mohagheghi Mansour Alramlawi Aouss Gabash Frede Blaabjerg Pu Li |
| author_facet | Erfan Mohagheghi Mansour Alramlawi Aouss Gabash Frede Blaabjerg Pu Li |
| author_sort | Erfan Mohagheghi |
| collection | DOAJ |
| description | In this paper, a multi-phase multi-time-scale real-time dynamic active-reactive optimal power flow (RT-DAR-OPF) framework is developed to optimally deal with spontaneous changes in wind power in distribution networks (DNs) with battery storage systems (BSSs). The most challenging issue hereby is that a large-scale ‘dynamic’ (i.e., with differential/difference equations rather than only algebraic equations) mixed-integer nonlinear programming (MINLP) problem has to be solved in real time. Moreover, considering the active-reactive power capabilities of BSSs with flexible operation strategies, as well as minimizing the expended life costs of BSSs further increases the complexity of the problem. To solve this problem, in the first phase, we implement simultaneous optimization of a huge number of mixed-integer decision variables to compute optimal operations of BSSs on a day-to-day basis. In the second phase, based on the forecasted wind power values for short prediction horizons, wind power scenarios are generated to describe uncertain wind power with non-Gaussian distribution. Then, MINLP AR-OPF problems corresponding to the scenarios are solved and reconciled in advance of each prediction horizon. In the third phase, based on the measured actual values of wind power, one of the solutions is selected, modified, and realized to the network for very short intervals. The applicability of the proposed RT-DAR-OPF is demonstrated using a medium-voltage DN. |
| first_indexed | 2024-03-10T20:42:13Z |
| format | Article |
| id | doaj.art-a19dc198470a4193b855dc92d6a7e676 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T20:42:13Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a19dc198470a4193b855dc92d6a7e6762023-11-19T20:38:19ZengMDPI AGEnergies1996-10732020-04-01137169710.3390/en13071697Real-Time Active-Reactive Optimal Power Flow with Flexible Operation of Battery Storage SystemsErfan Mohagheghi0Mansour Alramlawi1Aouss Gabash2Frede Blaabjerg3Pu Li4Department of Process Optimization, Institute of Automation and Systems Engineering, Ilmenau University of Technology, 98693 Ilmenau, GermanyDepartment of Process Optimization, Institute of Automation and Systems Engineering, Ilmenau University of Technology, 98693 Ilmenau, GermanyDepartment of Automation Engineering, Institute of Automation and Systems Engineering, Ilmenau University of Technology, 98693 Ilmenau, GermanyDepartment of Energy Technology, Aalborg University, 9220 Aalborg, DenmarkDepartment of Process Optimization, Institute of Automation and Systems Engineering, Ilmenau University of Technology, 98693 Ilmenau, GermanyIn this paper, a multi-phase multi-time-scale real-time dynamic active-reactive optimal power flow (RT-DAR-OPF) framework is developed to optimally deal with spontaneous changes in wind power in distribution networks (DNs) with battery storage systems (BSSs). The most challenging issue hereby is that a large-scale ‘dynamic’ (i.e., with differential/difference equations rather than only algebraic equations) mixed-integer nonlinear programming (MINLP) problem has to be solved in real time. Moreover, considering the active-reactive power capabilities of BSSs with flexible operation strategies, as well as minimizing the expended life costs of BSSs further increases the complexity of the problem. To solve this problem, in the first phase, we implement simultaneous optimization of a huge number of mixed-integer decision variables to compute optimal operations of BSSs on a day-to-day basis. In the second phase, based on the forecasted wind power values for short prediction horizons, wind power scenarios are generated to describe uncertain wind power with non-Gaussian distribution. Then, MINLP AR-OPF problems corresponding to the scenarios are solved and reconciled in advance of each prediction horizon. In the third phase, based on the measured actual values of wind power, one of the solutions is selected, modified, and realized to the network for very short intervals. The applicability of the proposed RT-DAR-OPF is demonstrated using a medium-voltage DN.https://www.mdpi.com/1996-1073/13/7/1697real-time dynamic active-reactive optimal power flow (RT-DAR-OPF)feasibilityMINLPbattery storage systems (BSSs)intermittent wind power |
| spellingShingle | Erfan Mohagheghi Mansour Alramlawi Aouss Gabash Frede Blaabjerg Pu Li Real-Time Active-Reactive Optimal Power Flow with Flexible Operation of Battery Storage Systems Energies real-time dynamic active-reactive optimal power flow (RT-DAR-OPF) feasibility MINLP battery storage systems (BSSs) intermittent wind power |
| title | Real-Time Active-Reactive Optimal Power Flow with Flexible Operation of Battery Storage Systems |
| title_full | Real-Time Active-Reactive Optimal Power Flow with Flexible Operation of Battery Storage Systems |
| title_fullStr | Real-Time Active-Reactive Optimal Power Flow with Flexible Operation of Battery Storage Systems |
| title_full_unstemmed | Real-Time Active-Reactive Optimal Power Flow with Flexible Operation of Battery Storage Systems |
| title_short | Real-Time Active-Reactive Optimal Power Flow with Flexible Operation of Battery Storage Systems |
| title_sort | real time active reactive optimal power flow with flexible operation of battery storage systems |
| topic | real-time dynamic active-reactive optimal power flow (RT-DAR-OPF) feasibility MINLP battery storage systems (BSSs) intermittent wind power |
| url | https://www.mdpi.com/1996-1073/13/7/1697 |
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