| 1. |
- Gliniewicz, Vincent, et al.
(författare)
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Economic Impact Assessment of using Congestion Management Methods to enable increased Wind Power Integration on Gotland, Sweden
- 2016
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Konferensbidrag (refereegranskat)abstract
- Congestion management methods are useful regulatory mechanisms to prevent transmission capacity problems.This paper intends to assess whether congestion management can be cost-efficiently used to postpone or even avoid network capacity reinforcements while increasing the hosting capacity of wind power on the island of Gotland in Sweden. Two methods,re-dispatch and market splitting, are studied in detail and applied to the Gotland case. A simplified electricity market model using historical data from Gotland was designed to perform the simulations. These methods pass on the cost of lack of transmission capacity to different actors in the electricity market (mainly grid owner for re-dispatch and consumers and producers for market splitting). Simulations indicate however that both methods could be employed to raise the installed production capacity of wind power on Gotland by at least 26 MW above the stated limit of 195 MW without negatively impacting the income of any actor. Moreover, market splitting efficiently reflects the transmission problems on the energy price of Gotland, thus giving economic incentive for flexible power consumption to alleviate the problems.
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| 2. |
- Ryckebusch, Gaëlle, 1990-, et al.
(författare)
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Analysis of demand-response participation strategies for congestion management in an island distribution network
- 2015
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Ingår i: 23rd International Conference on Electricity Distribution. - : Cired. ; , s. 1-5
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Konferensbidrag (refereegranskat)abstract
- A novel approach compared to traditional grid expansion consists of using flexibility from demand-response resources to manage anticipated congestions. However, such an approach presents challenges as it requires both technical and economic considerations. This paper proposes and analyses two market-based strategies applied to detached houses for day-ahead congestion management. The strategies are implemented in an Ancillary Service Toolbox environment developed in previous work, and is applied to a real use case on Gotland, Sweden. The first strategy involves using a dynamic network tariff while the second uses spot price optimization. Simulations are performed for seasonal worst-case congestion scenarios while satisfying comfort and economic constraints of the DR participants.Results show that while congestions are managed with a feasible number of participants, their savings are negligible for both strategies. The savings are 0.2-4.6 EUR/participant for the dynamic network tariff compared to 0-2.2 EUR/participant for the spot price optimization strategy. Moreover, results show that using a dynamic network tariff strategy implies a DSO cost in the range of 200-10200 EUR.
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