Research on the operation decision of wind farm joint shared energy storage based on information gap decision theory

Energy storage can help mitigate the impact of the growing adoption of renewable energy and the high uncertainty of wind power output on the operation of grid-connected systems. Traditional energy storage operation models suffer from low efficiency and limited flexibility due to the involvement of multiple stakeholders. By integrating energy storage with the sharing economy as a new model, it is possible to extend the energy storage capacity and shorten the energy storage investment payback period. In this paper, we introduce a sharing mechanism and propose an information gap decision theory (IGDT)-based bi-level model to coordinate storage resources for multiple -wind farms. IGDT is adapted to describing the power uncertain and analyzed operation risks from risk aversion (RA) and risk speculation (RS). The goal is to fully quantify the impact of uncertain factors on the operation of the system and improve the economic operation of the system. The case simulation is based on data from the Naomao Lake wind power region in Xinjiang region of Northwest China to analysis the simulation result. The results show that compared with no-energy storage and self-equipped energy storage, the shared energy storage mode improves the revenue of wind farm stations by 12 % and 9 % respectively. Additionally, compared to the deterministic model, under the IGDT RA model and RS model, the shared energy storage income increased by 4.8 % and decreased by 14 % respectively. This proposed method can provide recommendations for system operators to develop appropriate power generation and operation plans considering different expected cost objectives and risks.