Power Systems Supervision and Control

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The teaching methodologies, that promote active and collaborative learning, follow a temporal sequence that
enables students to acquire theoretical concepts, solve a set of exercises and carry out practical case studies. In
order to analyze some complex engineering problems dedicated software is introduced to the students.
The continuous evaluation implies the completion of 2 tests during the semester (TE1 and TE2). The final grade
(NF) is computed as: NF = 0.5 TE1+0.5 TE2, the minimum grade for theoretical component as well as for the
practical component is 4 points, in each partial assessment. The evaluation by final exam (FE) has a written
assessment that replaces the partial tests. In this case, the final grade is given on the basis of the examination
alone, NF = FE. Approbation in the curricular unit is obtained if NF >= 9.5 points (scale 0-20).

Objectives: To understand and explain the SCADA/EMS/DMS; To understand and explain the automatic generation
control and carry out a small-signal analysis of a multi-area system; To understand and to explain dynamic
mechanisms behind angle stability problems in electric power systems (EPS); To understand the weighted leastsquares
state estimation method of an EPS; To understand the main issues related to the integration of alternative
sources of energy into the electric power grid
Generics skills: Ability to perform technological decisions and judgments associated with the knowledge acquired;
Developing a professional attitude in her/his relation to work; Developing self-knowledge acquisition habits
Specific skills: To understand the main functions and issues involved in different activities associated with EPS
supervision and control; To design, conduct experiments and solve practical real-world issues in EPS control and
operation.

1. Supervision, control and protection of a Power System
2. Control Centres: Supervisory Control and Data Acquisition (SCADA); Energy Management Systems (EMS);
Distribution Management Systems (DMS)
3. Load forecast
4. Electric Power Systems State Estimation: Introduction to State Estimation in Power Systems; Weighted Least-
Squares Estimation; State Estimation of an AC Network; Fast Decoupled State Estimation Methods; State
Estimation by Orthogonal Decomposition; Network Observability and Pseudo-measurements, Detection and
Identification of Bad Measurements
5. Electric Power Systems Stability: State Transition Diagram; Steady-state and Transient Stability; Multimachine
Time Domain Solution by Numerical Integration; Classic Model and Detailed Model of the electric power network
components; Techniques to Improve the Transient Stability of an EPS; Voltage Stability; Frequency Stability
6. Integration of Renewable Energy in Electric Power Systems.

NAO