Distributed Optimization-Based Dynamic Tariff for Congestion Management in Distribution Networks

Dynamic Tariff-Subsidy Method for PV and V2G Congestion Management in Distribution Networks

“…The first option is to calculate DTS rates by a single optimization at the DSO side, which is similar to the DT method [7]. The second option is to calculate the DTS rates by an iteration process with back and forth interactions between the DSO and aggregators, like the distributed DT method [28].…”

“…This section introduces a DTS calculation method by the dual decomposition [30], which is an iterative method. The same idea has been employed for the distributed optimization based DT method in a previous study [28]. In the current study, the model is generalized to allow feed-in power flow and V2G function.…”

Local flexibility markets: Literature review on concepts, models and clearing methods

“…Huang et al [107] further proposed a distributed optimization-based dynamic tariff (DDT) method for congestion management in distribution systems that provided more certainty and transparency compared to the traditional DT method. A day-ahead congestion management method for distribution systems was proposed in [108], in which the DT was employed firstly to resolve the congestion and the re-profiling products (RPs) trading from the LFM were used afterwards to resolve the remaining congestion.…”

ADMM-based market clearing and optimal flexibility bidding of distribution-level flexibility market for day-ahead congestion management of distribution networks

“…In the dynamic tariff (DT)-based methods in [6]- [10], the DSO publishes time-dependent DTs at different locations of the network, which leads to higher final electricity prices (base price plus DTs) at peak hours. As a result, the aggregators or endusers shift power consumption from peak hours to off-peak hours to minimize energy costs, which consequently helps mitigate congestion.…”