The invention discloses a cooperative scheduling method for a zero-carbon park complementary
energy storage system, and the method comprises the steps: enabling an
electric energy quality index to be explicitly incorporated into an optimization target through multi-source resource dynamic modeling and scene prediction, and building a
strong coupling relation between a physical constraint and a scheduling decision; the hierarchical execution mechanism gives consideration to
global optimization and local quick response, realizes undisturbed switching under abnormal working conditions, forms a prediction-optimization-execution-feedback closed-
loop control system, and can accurately describe physical connection and electrical characteristics of a park
power grid by establishing a power distribution network
equivalent model and acquiring topological parameters, thereby realizing the
optimal control of the park
power grid. And basic
network data is provided for subsequent optimization. By determining the controllable resource set and completing topological mapping, the position and the regulation and control range of each device in the
power grid can be determined, and mistaken sending or conflict of instructions can be avoided. An apparent power upper limit constraint and SOC dynamic model is established, overload operation of equipment can be avoided, the
energy storage charging and discharging capacity can be accurately represented, and the performability of a scheduling scheme is ensured.