The invention belongs to the technical field of power
electronic systems, and discloses a distributed photovoltaic cluster modeling method and
system based on an improved FCM
algorithm, and the method comprises the steps: measuring the outlet
voltage Vt of a photovoltaic unit, the
voltage VPCC of a PCC point, and the
phase angle difference theta between the two, deducing a calculation formula of an equivalent
electrical distance from the outlet of the photovoltaic unit to the PCC point under a
radiation type structure, and calculating the equivalent
electrical distance between the outlet of the photovoltaic unit and the PCC point; calculating an equivalent
electrical distance under a
chain structure and a
complex network topology structure, and calculating a line impedance equivalent coefficient; measuring an active power P, a reactive power Q and a port
voltage Vt output by the photovoltaic unit, and proposing an index value representing a photovoltaic voltage support function; an equivalent electrical distance, a photovoltaic capacity and a voltage support function are comprehensively considered, and a comprehensive clustering index accurately representing the characteristics of the distributed
photovoltaic power generation system is established; an optimal solution obtained through a particle swarm clustering
algorithm is used as an initial clustering center, an optimal clustering result is calculated through an FCM
algorithm, and an
equivalent model is calculated through parameter equivalence;