Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks
Capacity challenges are becoming more frequent phenomena in residential distribution networks with new forms of loads, distributed renewable energy resources (RES) and price-responsive applications. Different types of demand response programs have been introduced to tackle these challenges through i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/2/318 |
| _version_ | 1798000034538586112 |
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| author | Niyam Haque Anuradha Tomar Phuong Nguyen Guus Pemen |
| author_facet | Niyam Haque Anuradha Tomar Phuong Nguyen Guus Pemen |
| author_sort | Niyam Haque |
| collection | DOAJ |
| description | Capacity challenges are becoming more frequent phenomena in residential distribution networks with new forms of loads, distributed renewable energy resources (RES) and price-responsive applications. Different types of demand response programs have been introduced to tackle these challenges through iterative changes in price and/or contractual participations based on incentives. In this research, a dynamic network tariff-based demand response program is proposed to address congestion problems in low-voltage (LV) networks. The formulation takes advantage of the scalable architecture of the agent-based systems that allows local decision making with limited communication. Energy consumption schedules are developed on a day-ahead basis depending on the expected cost of overloading for a number of probable scenarios. The performance of the proposed approach has been tested through simulations in the unbalanced IEEE European LV test feeder. Simulation results reveal up to 82% reduction in congestion on a monthly basis, while maintaining the quality of supply in the network. |
| first_indexed | 2024-04-11T11:13:50Z |
| format | Article |
| id | doaj.art-388cd171052f4adb8bc2c5d655ff91f3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T11:13:50Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-388cd171052f4adb8bc2c5d655ff91f32022-12-22T04:27:19ZengMDPI AGEnergies1996-10732020-01-0113231810.3390/en13020318en13020318Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution NetworksNiyam Haque0Anuradha Tomar1Phuong Nguyen2Guus Pemen3Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The NetherlandsDepartment of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The NetherlandsDepartment of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The NetherlandsDepartment of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The NetherlandsCapacity challenges are becoming more frequent phenomena in residential distribution networks with new forms of loads, distributed renewable energy resources (RES) and price-responsive applications. Different types of demand response programs have been introduced to tackle these challenges through iterative changes in price and/or contractual participations based on incentives. In this research, a dynamic network tariff-based demand response program is proposed to address congestion problems in low-voltage (LV) networks. The formulation takes advantage of the scalable architecture of the agent-based systems that allows local decision making with limited communication. Energy consumption schedules are developed on a day-ahead basis depending on the expected cost of overloading for a number of probable scenarios. The performance of the proposed approach has been tested through simulations in the unbalanced IEEE European LV test feeder. Simulation results reveal up to 82% reduction in congestion on a monthly basis, while maintaining the quality of supply in the network.https://www.mdpi.com/1996-1073/13/2/318congestion managementdynamic tariffagent-based distribution networksdemand response |
| spellingShingle | Niyam Haque Anuradha Tomar Phuong Nguyen Guus Pemen Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks Energies congestion management dynamic tariff agent-based distribution networks demand response |
| title | Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks |
| title_full | Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks |
| title_fullStr | Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks |
| title_full_unstemmed | Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks |
| title_short | Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks |
| title_sort | dynamic tariff for day ahead congestion management in agent based lv distribution networks |
| topic | congestion management dynamic tariff agent-based distribution networks demand response |
| url | https://www.mdpi.com/1996-1073/13/2/318 |
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