Energy Storage Cluster Planning Method Accelerated by Progressive Hedging Algorithm Considering Uncertainty in Renewable Energy and Load

The high proportion of renewable energy presents numerous new features in the power system, which poses new challenges for the planning and operation of the power system. The energy storage system is an important technology and basic equipment to support the construction of the new power system under the dual carbon goals. Rational configuration of energy storage cluster can effectively improve the operation of the power system. To solve the issue that the current requirements on the energy storage cluster scale of power systems with substantial renewable energy output are too general to provide a suitable energy storage cluster configuration scheme, this paper proposes an energy storage cluster planning method to describe the uncertainty of renewable energy output and load. Considering the characteristics of the system, the proposed method is formulated as a stochastic programming model to plan the energy storage cluster. The progressive hedging algorithm is employed to solve the proposed model. Finally, the modified IEEE RTS79 test system is used to verify the method, and the best RER range is obtained.