Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks
In order to avoid voltage problems derived from the connection of large amounts of renewable-based generation to the electrical distribution system, new advanced tools need to be developed that are able to exploit the presence of Distributed Energy Resources (DER). This paper describes the approach...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/7/2635 |
| _version_ | 1797570910465556480 |
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| author | Micael Simões André G. Madureira |
| author_facet | Micael Simões André G. Madureira |
| author_sort | Micael Simões |
| collection | DOAJ |
| description | In order to avoid voltage problems derived from the connection of large amounts of renewable-based generation to the electrical distribution system, new advanced tools need to be developed that are able to exploit the presence of Distributed Energy Resources (DER). This paper describes the approach proposed for a predictive voltage control algorithm to be used in Low Voltage (LV) distribution networks in order to make use of available flexibilities from domestic consumers via their Home Energy Management System (HEMS) and more traditional resources from the Distribution System Operator (DSO), such as transformers with On-Load Tap Changer (OLTC) and storage devices. The proposed algorithm—the Low Voltage Control (LVC)—is detailed in this paper. The algorithm was tested through simulation using a real Portuguese LV network and real consumption and generation data, in order to evaluate its performance in preparation for a field-trial validation in a Portuguese smart grids pilot. |
| first_indexed | 2024-03-10T20:33:09Z |
| format | Article |
| id | doaj.art-a1951d389d09429197694528e2ee8a05 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T20:33:09Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a1951d389d09429197694528e2ee8a052023-11-19T21:16:40ZengMDPI AGApplied Sciences2076-34172020-04-01107263510.3390/app10072635Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV NetworksMicael Simões0André G. Madureira1INESC TEC—Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, PortugalINESC TEC—Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, PortugalIn order to avoid voltage problems derived from the connection of large amounts of renewable-based generation to the electrical distribution system, new advanced tools need to be developed that are able to exploit the presence of Distributed Energy Resources (DER). This paper describes the approach proposed for a predictive voltage control algorithm to be used in Low Voltage (LV) distribution networks in order to make use of available flexibilities from domestic consumers via their Home Energy Management System (HEMS) and more traditional resources from the Distribution System Operator (DSO), such as transformers with On-Load Tap Changer (OLTC) and storage devices. The proposed algorithm—the Low Voltage Control (LVC)—is detailed in this paper. The algorithm was tested through simulation using a real Portuguese LV network and real consumption and generation data, in order to evaluate its performance in preparation for a field-trial validation in a Portuguese smart grids pilot.https://www.mdpi.com/2076-3417/10/7/2635voltage controlactive managementpredictive managementenergy storagedemand responseLV networks |
| spellingShingle | Micael Simões André G. Madureira Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks Applied Sciences voltage control active management predictive management energy storage demand response LV networks |
| title | Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks |
| title_full | Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks |
| title_fullStr | Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks |
| title_full_unstemmed | Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks |
| title_short | Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks |
| title_sort | predictive voltage control empowering domestic customers with a key role in the active management of lv networks |
| topic | voltage control active management predictive management energy storage demand response LV networks |
| url | https://www.mdpi.com/2076-3417/10/7/2635 |
| work_keys_str_mv | AT micaelsimoes predictivevoltagecontrolempoweringdomesticcustomerswithakeyroleintheactivemanagementoflvnetworks AT andregmadureira predictivevoltagecontrolempoweringdomesticcustomerswithakeyroleintheactivemanagementoflvnetworks |