Active distribution network physics-information fusion control method for a hybrid system model

An active distribution network physics-information fusion control method for a hybrid system model, comprising,

• an initialization time being a starting time Time=t, predicting power output and load of a feeder intermittent distributed power supply within a control time period T;
• calculating a feeder exchange power deviation variation ΔP(t) during the control time period, selecting a power distribution mode:
• if being a fixed distribution coefficient, generating a distribution coefficient matrix W, and establishing a hybrid system model for feeder power coordinated control;
• if being a rolling distribution coefficient, an exchange power P(t) of the control region at time t being obtained, generating a distribution coefficient matrix W(t), and establishing the hybrid system model of the said feeder power coordinated control;
• confirming a control objective function min J, converting it into a MIQP problem and solving thereof, then obtaining a full period control quantity;
• selecting a first control quantity P of the optimized control sequence, sending the first control quantity P to the control device, and judging whether the current time is end time, Time=end?, if so, it ends;
• if not, performing an optimal control on a subsequent time period, Time=t+Δt, recalculating the feeder exchange power deviation variation ΔP(t) in the control time period, until the end time, Time=end?, is met.