Bi-level modelling approach to coordinated operation of wind power plant and PV-storage energy community

Uberization of the energy sector and transition towards decentralized, local production puts energy communities at the forefront of these changes. Very often they are initiators of new, low carbon investments and consequently they are becoming highly relevant market participants. This creates new power system operational challenges. The focus of this paper is on interplay and price driven collaboration between a PV-battery energy community and a wind power plant (WPP). This coordination is cast as a bilevel mixed integer linear programming (MILP) approach, modelling market participation of both entities, peer-to-peer (p2p) trading within energy community and power exchange between the energy community and WPP. The energy community is driven by the lowest energy cost for supplying its consumers, while the objective of a WPP is to maximize its profit. The results indicate that this coordination creates financial benefits for both sides as compared to individual market exposure.