Power System Operation and Control (ETF EEO EUEES 5970) |
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General information |
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Module title | Power System Operation and Control |
Module code | ETF EEO EUEES 5970 |
Study | ETF-B |
Department | Electric Power Engineering |
Year | 2 |
Semester | 3 |
Module type | Mandatory |
ECTS | 7 |
Hours | 70 |
Lectures | 42 |
Exercises | 14 |
Tutorials | 14 |
Module goal - Knowledge and skill to be achieved by students |
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| The goal of this course is to provide students basic knowledge of operation and control of modern power systems. To reach this goal, characteristics, trends and optimal concepts of power system control will be presented. Specifically, the course will concentrate on ways of optimal operation and control of electric power systems, as well as on realization of regulation inside control loop active power - frequency and reactive power - voltage. <br> The basic information regarding power system security, control of disturbances and actual restructuring of electric power sector will be presented. <br> |
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Syllabus |
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| 1. Electric power system, subsystems of electric power system, mission, elements. <br> Consumers of electric energy, diagrams, static and dynamic characteristics of complex consumer nodes <br> Electric energy sources, types, models, unit input - output curves and operation characteristics. <br> 2. Power system control, energy management system (EMS), time decomposition of activities regarding power system operation. <br> Planning of power system operation, long-term, medium-term and short-term planning functions for power system operation; analytic functions for planning power system operation, load and energy forecast, maintenance scheduling, operation reserves (primary, secondary, tertiary, hot reserve, cold reserve ...) electric power balance sheet. <br> Real-time power system control, supervisory, dispatching and operational control. <br> 3. Optimization of power system operation, optimization models, technical and economical input - output characteristics, objective function and constraints; economic dispatch, definitions, methods of solving economic dispatch. <br> Optimal power flow, models and methods for attaining the optimal power flow. <br> Unit commitment problem, optimal hydrothermal scheduling, methods of solving the unit commitment problems. <br> 4. Introduction to state estimation in power systems, algorithms, detections of bad measurements, parameters estimation. <br> 5. Frequency and active power regulation, primary and secondary frequency regulation, summary of power system characteristics, interconnection power systems, automatic generation control and interchange. <br> Voltage and reactive power regulation, voltage conditions improvement, voltage control on generation unit and transformers, reactive power and energy compensation, primary, secondary and tertiary regulation of voltage and reactive power flow. <br> 6. Power system security, operation regimes, factors affecting power system's security, steady-state contingency analysis, models used for estimation of disturbance effects. <br> 7. Disturbances, classification of disturbances, power system stability, structural characteristics, disturbances control. <br> 8. Structural and organizational forms of modern electric power sector, restructuring and deregulation, system control structure. <br> |
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Literature |
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Didactic methods |
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| Course lessons are taught by the professor in lecture halls, and followed by demonstration and solving of practical examples and mathematical equations/graphs. Additionally, students spend time on tutorials and lab-exercises. They resolve specific problems pertaining to their theses, using available or student-developed software. Goal of these activities is to enable students to get hands-on, practical experience in this area, as well as to gauge students' knowledge through assigned papers and exams (mid-term, as well as final). <br> |
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Exams |
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| During the course students earn points according to the following system: <br> - Attending classes and tutorials: 10 points; a student with more than three absences from lectures and/or tutorials will not be eligible to get these points. <br> - Home assignments, laboratory reports and/or final thesis: maximum of 10 points. <br> - Mid-term and final exams: a student can score up to 20 points on each exam (passing grade is 10 points). <br> During each of the two exams (time assigned is 90 minutes) students will solve simple questions - designed to examine whether students acquired basic theoretical knowledge –multiple choice problems, as well as one open-answer problem. Students who gain less than 20 points during one semester must re-take that course. <br> Students who earn 40 or more points during the semester are eligible for taking a final exam; the exam asks the student to discuss mathematical problems from the mid-term exam and home assignments, as well as to answer to simple questions related to general course topics. <br> A student can score a maximum of 40 points on the final oral exam (passing threshold is 20 points). A student who gets less than this minimum, must take a makeup oral exam. <br> A student who earns 20 points or more, and less than 40 points during the whole semester will have to take a makeup exam. The makeup exam is organized in the following manner: <br> - Written part is structured similarly to mid-term written exam, during which students will have to solve problems in which they failed on their mid-term exams (got less than 10 points). <br> - Oral part of the exam is structured in the same way as the oral part of the final exam. <br> |
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Aditional notes |
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