This invention discloses a joint scheduling
optimization system and method for
energy storage and
frequency regulation markets, considering the electrochemical-aging
coupling characteristics of
energy storage, and relates to the field of
energy storage. The method simplifies the calculation formula for
terminal voltage by ignoring the effect of
capacitance in the
equivalent circuit, and linearizes the relationship between the open-circuit
voltage and
state of charge, as well as the
internal resistance characteristics of the energy storage
system, thereby effectively reducing
model complexity. Simultaneously, it utilizes sequential convex
programming techniques to successively approximate the non-convex
optimization problem, significantly improving solution efficiency and computational accuracy. This method not only accurately characterizes the dynamic behavior of energy storage systems under different scenarios but also provides a more operational optimization scheme for practical
engineering applications. Furthermore, by linearizing the power constraints, the
scalability and adaptability of the model are further enhanced, making it more suitable for the actual needs of multi-
scenario joint scheduling.