Dynamic tariff method for congestion management in distribution networks

This thesis puts forward a congestion management way for distribution networks considering electric vehicles (EVs) and heat pumps (HPs). Congestion caused by large-scale integration of EVs and HPs in distribution networks can be alleviated by using dynamic tariff (DT). A bi-level optimization model for distribution system operator (DSO) and load serving entities (LSEs) is established. In the upper model, DSO calculates the DT using the minimum operation cost as the objective function, which includes line distribution constraint that takes into account network losses and voltage constraints. In the lower model, LSEs use the minimum purchase cost as the objective function. Based on the basic price and DT, LSEs will re-develop the load plan and transfer part of the loads to the non-blocking period to reduce the obstruction of the distribution network and alleviate the operation pressure of the power grid and ensure the security operation of the grid. The proposed model is applied to the IEEE 33-bus distribution grid and the effectiveness of the advanced DT method is examined by three case studies.