Power systems control and dispatch

Course title: Power systems control and dispatch

Code: FEIT09Z019

Number of credits (ECTS): 6

Weekly number of classes: 3+2+0+0

Prerequisite for enrollment of the subject: Taken course: Computer methods for analysis of stationary regimes in power system

Course goals/Competences: Acquiring knowledge on control and dispatching of power systems considering algorithms and practice in contemporary energy management systems. By completing the course, the students will be capable of extending their acquired knowledge of power systems control and dispatch, as well as studying documentation in dispatch centers.

Total available number of classes: 180

Curriculum: Introduction to control and dispatch in power systems: Objectives of control and dispatching, systems for automatic dispatching. State estimation: Introduction on monitoring and state estimation in power systems. Steady state modelling for power systems, quasi-stationary state in power systems. State variables. Measurements. Pseudo-measurements. Redundancy of measurements. Measurement errors: equations. Introduction to optimal state estimation. Least squares state estimation; Characteristics of state estimation based on least squares. Measurements systems configuration. Network observability. General approach: state estimation methods. Bad measurements detection and identification. Optimal power systems control under normal operation conditions: Characteristics of normal operation. Control objectives. Optimization problem formulation as nonlinear programming problem. Karush-Kuhn-Tucker (KKT) conditions for optimal solution. Sensitivity matrices. Simplified KKT method. Control functions in power systems. Formulation of optimization problem – objective function and constraints. Numerical methods for solving optimization problems in control. Gradient method-variables, objective function and constraints. Other numerical methods. Security constrained dispatch in power systems. Power systems control in emergency state: characteristics of emergency state. Control objectives. Control in emergency situation – problem formulation for quasi-state operation. Control in interconnected systems: objectives. Automatic generation control.

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