Dispatch Optimization of Energy Communities for Collective Provision of Network Congestion Management

Nowadays the installation of distributed energy resources (DERs) is very popular all over the world. DERs bring partial independence from the external grid, fewer interruptions in the electric supply, economic benefits, improvement of the electrical energy quality and the green energy to the systems of the prosumers. However, they also bring network congestions and increase the complexity of the energy management especially when the renewable DERs with their inconstant generation profiles are used. One of the possible solutions for these problems for the prosumers is to organize and join an energy community. Energy community members can both exchange electrical energy to maintain energy balance and sell excess energy to the operator. There are two basic energy management strategies for the community members: collective and individual. This paper focuses on determining the most beneficial one by simulating an energy community with different levels of cooperation and assessing multiple parameters.