Abstract
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.
Original language | English |
---|---|
Article number | e6085 |
Pages (from-to) | 1-29 |
Number of pages | 29 |
Journal | Energies |
Volume | 13 |
Issue number | 22 |
DOIs | |
Publication status | Published - 20 Nov 2020 |
Keywords
- 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