A Collaborative Optimal Allocation Method for Energy Storage Systems Considering Multi-temporal-scale Output Uncertainty of Photovoltaic Power

To address the output uncertainty of large-scale photovoltaic power stations and the practical requirements regarding DC output and frequency stability, this study proposes an energy storage collaborative optimization allocation method that accounts for photovoltaic power output uncertainty across multi-temporal scales. First, the operational characteristics of the optical storage system are modeled. In particular, the very short-term power fluctuations of photovoltaic system, the inertial support capacity of energy storage, and the frequency response characteristics are modeled. Second, to minimize the total annual cost of the photovoltaic-energy storage power station, an energy storage collaborative configuration model is constructed, considering constraints such as investment constraints, DC transmission constraints and frequency stability constraints. Subsequently, the uncertainty of PV output is characterized across multiple temporal scales including medium and long term, short term and very short term. A distributionally robust optimization model for the coordinated configuration of energy storage systems is constructed and solved. Finally, a numerical example is provided to verify the effectiveness of the proposed method and model.