3 results about "Delay dependent" patented technology

The present application belongs to the technical field of power system, and particularly relates to a time-delay power system stability analysis method and system. The method firstly establishes a load frequency control system model including time delay and nonlinear load disturbance, wherein the nonlinear load disturbance is a nonlinear disturbance taking unknown exogenous load disturbance as current and delayed state variable; then an augmented Lyapunov-Krasovskii functional is constructed, and an analysis method based on time-delay dependent matrix free matrix integral inequality and anti-convex combination inequality is adopted to analyze the stability of the load frequency control system, so as to obtain the stability criterion of the load frequency control system. The present application plays an important role in improving the calculation accuracy and time delay upper limit, and is helpful to expand the stable operation area of the power system.

The invention relates to the field of complex system control, in particular to a collaborative output regulation distributed controller design method for a time-delay complex system. The method comprises the following steps: firstly, establishing a global state space model containing a time delay term, and defining a collaborative output adjustment problem and a performance index; then designing a distributed control law based on an event triggering mechanism, and triggering control updating through a local state error; and solving control parameters by adopting a distributed optimization algorithm, and constructing a time-delay dependent Lyapunov function to carry out stability analysis. The method can effectively reduce the calculation and communication burden, guarantees the stability and cooperation performance of the system under the condition of time delay, and is suitable for distributed control application in the fields of power systems, intelligent manufacturing and the like.

The invention discloses a cluster wind power plant output prediction-oriented dynamic time-delay dependency modeling method, which comprises the following steps of: calculating a dynamic time-delay dependency relationship between wind power plants, constructing a time-delay dependency matrix sequence which changes along with time, and predicting a time-delay dependency matrix of a future time period by using a time-delay dependency matrix prediction model. On the basis, time sequence features are extracted from historical output, space-time features are extracted from meteorological data, cross-modal self-adaptive fusion is carried out on a predicted time-delay dependency matrix and multi-source features, and finally a wind power output predicted value and a confidence interval thereof are obtained based on a mixed density network. The method provided by the invention can effectively capture the coupling relation time-varying characteristics generated along with the change of meteorological conditions between the wind power plants, and improves the precision and stability of output prediction.