4.7 Article

On the value and potential of demand response in the smart island archipelago

Journal

RENEWABLE ENERGY
Volume 176, Issue -, Pages 153-168

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2021.05.043

Keywords

Smart islands; Demand response; Renewable energy sources; Energy system analysis; Energy flexibility; Integrated energy system

Funding

  1. Young Researchers' Career Development Programme of Croatian Science Foundation - European Union from European Social Fund and Horizon 2020 project INSULAE - Maximising the impact of innovative energy approaches in the EU islands [DOK-01-2018, 824433]
  2. CITIES project [DSF1305-00027B]
  3. Danish Innovationsfonden

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Different demand response models are proposed and often tested on islands that serve as test-beds for new technologies. A novel demand response model based on price differentials on the day-ahead electricity market is proposed in this study, which considers all relevant grid constraints in the distribution system and shows positive results in an archipelago scenario connected to the mainland grid.
Existing studies propose different demand response models and often test them on islands that represent test-beds for new technologies. However, proposed models are often simplified and integrated into energy system models that do not consider the existing limitations of the power grid. This study proposes a novel demand response model based on price differentials on the day-ahead electricity market. The model is implemented in the distribution system that considers all relevant grid constraints. The case study is conducted in an archipelago characterised by a medium-voltage distribution system connected to the mainland grid. The obtained results showed that the implementation of the proposed demand response model caused a 0.13 kV voltage deviation which did not cause voltage issues for the observed distribution system. The breakpoint incentive was achieved for an incentive value of 23% of the day-ahead market, and the demand response was not activated for higher values than the breakpoint incentive. The highest savings amounted to 258.7 V for the scenario with the highest flexibility allowed. The results implicate that implementing the demand response model in the grid would benefit all observed stakeholders in the system. (c) 2021 Elsevier Ltd. All rights reserved.

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