This paper designs a novel dynamic tariff scheme for demand response (DR) by considering networks costs through balancing the trade-off between network investment costs and congestion costs.
Implicit contract between the tenants and DSO Enexis: when tenants contract with an energy supplier this implies the coming into existence of a contract with the DSO to which tenants have to pay a network tariff for electricity provision; Enexis charges a dynamic electricity/network tariff; d.
For instance, an optimal reconfiguration-based dynamic tariff (DT) method considering feeder reconfiguration in calculating DT is proposed for congestion management and line loss reduction in distribution networks with high penetration of EVs in [19].
Dynamic tariff policies have become an essential feature of modern electric grid design.
Household flexibility is analyzed, focusing on: (i) the load shift of (smart) appliances, and (ii) the response of the (overall) peak load towards the dynamic tariff.
Market-based methods include the day-ahead dynamic tariff, distribution capacity market, intra-day shadow price and flexibility service market [14].
However, if in a dynamic pricing scenario, data in different granularity is needed over the day (e.g., a stable night tariff and more dynamic tariffs at noon), the multi-resolution approach allows to dynamically adjust the level of granularity of the provided meter data.
In a smart er) grid context, the existence of dynamic tariffs and bidirectional communications will simultaneously allow and require an active role from the end-user concerning electricity management.
Therefore, it is concluded that a simple and transparent design for dynamic tariffs is sufficient and most effective to stimulate (manual) residential demand response.
Using a choice experiment approach, this paper seeks to determine whether disclosing the environmental and system benefits of dynamic tariffs to residential customers can increase adoption.
