Distributed congestion management of distribution networks to integrate prosumers energy operation

A distributed congestion management scheme based on iterative distribution locational marginal price (iDLMP) to integrate distributed energy resources into the distribution network has been studied recently. However, this scheme has a requirement on the optimisation formulation for prosumers, i.e. the suboptimisation problem should be a convex one, which in certain cases might face challenges. A typical example is the non‐linear constraints of the energy storage system (ESS), which ensures that charging and discharging of ESS are mutually exclusive. In this study, the authors consider the prosumer as a self‐organising unit to integrate diverse resource flexibilities. Two roles exist in prosumer's energy operation: as a producer and as a consumer, which are also mutually exclusive for one prosumer at one time. When applying the iDLMP method to integrate prosumers energy operation, one meets a similar challenge as before. Thus, they make some reasonable assumptions about the transformer capacity, line capacity, and the price sensitivity parameters to convexify the optimisation problem. With these assumptions, a distributed convex optimisation framework is developed for the prosumers that can handle the non‐convexity issue in the optimisation problem. The numerical results indicate that the proposed method can achieve local energy sharing in the distribution network, respecting the line congestion alleviation.