Multi-Time-Scale Optimal Scheduling in Active Distribution Network with Voltage Stability Constraints
The uncertainty associated with loads and renewable-energy sources affects active distribution networks in terms of the operation and voltage stability on different time scales. To address this problem, a multi-time-scale voltage stability constrained optimal scheduling framework is proposed, which...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/21/7107 |
| _version_ | 1827678181503533056 |
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| author | Tianhao Song Xiaoqing Han Baifu Zhang |
| author_facet | Tianhao Song Xiaoqing Han Baifu Zhang |
| author_sort | Tianhao Song |
| collection | DOAJ |
| description | The uncertainty associated with loads and renewable-energy sources affects active distribution networks in terms of the operation and voltage stability on different time scales. To address this problem, a multi-time-scale voltage stability constrained optimal scheduling framework is proposed, which includes a day-ahead model with a coarse-grained time resolution and an intra-day model with a fine-grained time resolution. The day-ahead economic-scheduling model maps out a scheme to operate different types of devices with the aim of minimizing the network losses. Following the scheme, the intra-day corrective-adjustment model based on model predictive control is proposed to regulate the flexible devices, such as the energy storage systems and the photovoltaic converters. In particular, the proposed optimal scheduling framework embeds a voltage stability constraint which is constructed by using a novel index, defined based on the Distflow model Jacobian. As the index at each bus is a linear function of the locally measurable power flow variables, the proposed constraint does not introduce additional computational burdens. Simulation results demonstrate the necessity and effectiveness of the proposed multi-time-scale voltage stability constrained optimal scheduling model. The results also show that the variation trend of the proposed index is consistent with that of the commonly used voltage stability index. |
| first_indexed | 2024-03-10T06:03:48Z |
| format | Article |
| id | doaj.art-906a32a934254ff0b4cce326a08c735c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T06:03:48Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-906a32a934254ff0b4cce326a08c735c2023-11-22T20:43:38ZengMDPI AGEnergies1996-10732021-11-011421710710.3390/en14217107Multi-Time-Scale Optimal Scheduling in Active Distribution Network with Voltage Stability ConstraintsTianhao Song0Xiaoqing Han1Baifu Zhang2College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaThe uncertainty associated with loads and renewable-energy sources affects active distribution networks in terms of the operation and voltage stability on different time scales. To address this problem, a multi-time-scale voltage stability constrained optimal scheduling framework is proposed, which includes a day-ahead model with a coarse-grained time resolution and an intra-day model with a fine-grained time resolution. The day-ahead economic-scheduling model maps out a scheme to operate different types of devices with the aim of minimizing the network losses. Following the scheme, the intra-day corrective-adjustment model based on model predictive control is proposed to regulate the flexible devices, such as the energy storage systems and the photovoltaic converters. In particular, the proposed optimal scheduling framework embeds a voltage stability constraint which is constructed by using a novel index, defined based on the Distflow model Jacobian. As the index at each bus is a linear function of the locally measurable power flow variables, the proposed constraint does not introduce additional computational burdens. Simulation results demonstrate the necessity and effectiveness of the proposed multi-time-scale voltage stability constrained optimal scheduling model. The results also show that the variation trend of the proposed index is consistent with that of the commonly used voltage stability index.https://www.mdpi.com/1996-1073/14/21/7107active distribution networkenergy storageoptimal schedulingvoltage stability |
| spellingShingle | Tianhao Song Xiaoqing Han Baifu Zhang Multi-Time-Scale Optimal Scheduling in Active Distribution Network with Voltage Stability Constraints Energies active distribution network energy storage optimal scheduling voltage stability |
| title | Multi-Time-Scale Optimal Scheduling in Active Distribution Network with Voltage Stability Constraints |
| title_full | Multi-Time-Scale Optimal Scheduling in Active Distribution Network with Voltage Stability Constraints |
| title_fullStr | Multi-Time-Scale Optimal Scheduling in Active Distribution Network with Voltage Stability Constraints |
| title_full_unstemmed | Multi-Time-Scale Optimal Scheduling in Active Distribution Network with Voltage Stability Constraints |
| title_short | Multi-Time-Scale Optimal Scheduling in Active Distribution Network with Voltage Stability Constraints |
| title_sort | multi time scale optimal scheduling in active distribution network with voltage stability constraints |
| topic | active distribution network energy storage optimal scheduling voltage stability |
| url | https://www.mdpi.com/1996-1073/14/21/7107 |
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