Active output adjustment method of power system based on transient stability constraints

Abstract

The invention discloses a power system active output adjustment method based on transient stability constraints. The current power system operating conditions are checked for expected fault sets. When the power system is transiently unstable, a number of Including the scheduling set of the adjustment amount of the generator participating in the scheduling, and using the particle swarm algorithm to update each scheduling set; using the objective function adding the quadratic penalty item to calculate the current fitness value of each scheduling set; judging whether the current fitness value is less than Its previous fitness value: if it is less than, use the scheduling set corresponding to the current fitness value to update the scheduling set containing the optimal adjustment amount of the generators participating in the scheduling; otherwise, do not update; use all the optimal adjustments including the generators participating in the scheduling The minimum value in the scheduling set of the quantity updates the active output scheduling set; when the update times of the active output scheduling set is equal to the set update times, the optimal adjustment amount of the participating generators in the last updated active output scheduling set is output.

Description

technical field [0001] The invention relates to the field of power system dispatching, in particular to a power system active output adjustment method based on transient stability constraints. Background technique [0002] At present, most of the power system transient stability preventive control problems based on active output adjustment methods use the optimal power flow method with transient stability constraints, and start with the objective function, constraint conditions, control variables, and solving techniques to solve the transient state of the power system. A lot of beneficial discussions have been made on stability prevention control methods and strategies; however, the optimal power flow model inevitably has the following problems due to the addition of transient stability constraints. First, the complexity of the model will vary with different forms of transient stability constraints. Second, there are many methods to solve the model, each with its own advanta...

AI Technical Summary

Problems solved by technology

[0002] At present, most of the power system transient stability preventive control problems based on active output adjustment methods use the optimal power flow method with transient stability constraints, and start with the objective function, constraint conditions, control variables, and solving techniques to solve the transient state of the power system. A lot of beneficial discussions have been made on stability prevention control methods and strategies; however, the optimal power flow model inevitably has the following problems due to the addition of transient stability constraints. First, the complexity of the model will vary with different forms of transient stability constraints. Second, there are many methods to solve the model, each with its own advantages and disadvantages; some methods use the sensitivity function of energy margin as the transient stability constraint, and use multi-objective optimization technology to solve; some methods use the generator rotor The swing differential equation and the stability limit of the relative swing angle of the generator rotor are used as the constraints of equality and inequality respectively, combined with modern interior point theory to solve them; however, these methods need to be calibrated through repeated time-domain simulation calculations Whether the untested optimization result satisfies the transient stability constraint conditions, the calculation amount is large and the solution speed is relatively slow, and it is impossible to quickly obtain the adjustment strategy of the active power output of the generator; therefore, some scholars propose to use the trajectory sensitivity method to solve For the optimal power flow problem under certain conditions, although the calculation speed of the trajectory sensitivity method is fast, due to the linearization of the complex nonlinear transient stability constraints, the uncertainty of the value of the transient stability criterion will have a great impact on the optimization results, and it is difficult to obtain Accurate Generator Active Output Adjustment Strategy

Images