Research Of Decenritralized Coordinated Optimal Excitation Control Based On Nonlinear Programming

One of the most typical great systems is electrical power system. The great system has a general characteristic, all of them have so many control point or control component.From the feedback signal of controllers, whatever electrical system general controller, PSS or optimal excitation controller etc new controller, which is developing in near twenty years, and all of them belongs to decenritralized control. No doubt, when we design controller, that point we wish to get. By all appearances, for all controllers which is designed parting by local model, that is so difficulty to considering coordinated. If we design control law of control component, consider across-the-board, synthesize design, make parting controller not only for them control object or local system, which control effect is optimal, also they can coordinated work, it also can ensure the system achieve the optimization under the chosen objective function. On the nonlinear programming, there are some full mature methods such as modern interior point method. They are widely applied in the various programming and get massive achievements.This paper proposes a research for decenritralized coordinated optimal excitation control of an n-generator power system based on modern interior point nonlinear programming. The optimal control problem is transformed into nonlinear programming one. Modern interior point nonlinear programming method is applied to solve the nonlinear programming problem. The quadratic performance index of control system is chosen for actuality needs as the objective function. The state equations of control system are converted into numerical equivalent algebraic equations set by using the implicit trapezoidal method, and are involved in equality constrains set. The control quantity limits are used to be inequality constrains. The dynamic optimization problem is transformed as the static optimization one and the ideal to solve the nonlinear optimal control problem by using modern interior point nonlinear programming method is developed. For nonlinear control systems, the ideal is applicable universally. It also can ensure the system achieve the optimization under the chosen objective function.For the power system excitation control system, based on modern interior point nonlinear programming method, an optimal power system excitation control design scheme is deduced. The results of simulation show that the scheme can coordinate the dynamic and the static performances of the n-generator power system effectively, and make it have a good output performance.