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Design, Valuation and Comparison of Demand Response Strategies for Congestion Management
| Content Provider | MDPI |
|---|---|
| Author | Agbonaye, Osaru Keatley, Patrick Huang, Ye Mustafa, Motasem Bani Hewitt, Neil |
| Copyright Year | 2020 |
| Description | Decarbonisation of heat and transport will cause congestion issues in distribution networks. To avoid expensive network investments, demand flexibility is necessary to move loads from peak to off-peak periods. We provide a method and metric for assessing and selecting the optimal demand response strategy for a given network congestion scenario and applied it to a case study network in Coleraine, Northern Ireland. We proposed a Price Approximation/Mean Grouping strategy to deal with the issue of congestions occurring at the lowest-price period in real-time pricing schemes. The Mean Grouping strategy increased the average lowest-price hours from 1.32 to 3.76. We show that a three-cluster tariff is effective in solving medium congestion issues in Northern Ireland and could save consumers an average of £117/year on their heating bill. However, for networks with low headroom suffering from serious congestion issues, a smart control strategy is needed. |
| Starting Page | 6085 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en13226085 |
| Journal | Energies |
| Issue Number | 22 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-11-20 |
| Access Restriction | Open |
| Subject Keyword | Energies Transportation Transportation Science and Technology Tariff Design Congestions in Distribution Networks Reducing Peaks Caused By Dynamic Pricing Heat Pumps and Heat Battery Pv and Battery Social Housing in Northern Ireland |
| Content Type | Text |
| Resource Type | Article |
