Course ID
|
1052081 [ LM-28 and LM-30 ]
|
Lecturer(s)
| Prof. Alberto Geri
|
Office
|
Dipartimento di Ingegneria Astronautica, Elettrica ed Energetica Sezione di Ingegneria Elettrotecnica
Via delle Sette Sale n°12/B, 1st floor room 48
Phone (+39) 06 4458.5.540 FAX (+39) 06 4883235 email: alberto.geri@uniroma1.it
|
Office hours
|
| WEEKDAY |
TIME
|
| Wednesday |
from 15:00 to 17:00 |
| Thursday |
from 15:00 to 17:00 |
Please email me if you want an appointment outside of office hours, with the reason well explained.
I can be reached for questions by electronic mail too.
|
Credits |
9 ECTS (equivalent to 90 hours of face-to-face instruction and 135 hours of individual study).
|
Course meeting times |
| PERIOD |
WEEKDAY |
TIME
|
CLASSROOM
|
24 sep 2018 - 21 dec 2018
|
Monday |
10:00 - 13:00 |
6 |
|
Thursday
|
10:00 - 13:00 |
12 |
| |
Friday |
14:00 - 16:00 |
12 |
|
Course description
|
The course introduces students to the new multi-disciplinary field of smart grids, approaching the theme from the distribution system operator (DSO) point of view.
This course starts with an introduction to the broad subject of power distribution networks. It will initially focus on the analysis of existing distribution systems and their operation and protection.
The second part of the course will concentrate on the introducing the fundamental concepts and components of smart grids, as well as on their contribution on including renewables integration, plug-in hybrid electrical vehicle (PHEV) penetrations, demand side management, and greenhouse gas (GHG) emissions reductions.
In the third part of the course, few case studies are presented: these cases are related to the most advanced pilot projects developed by some Italian utilities, in order to implement advanced smart grid technologies in their distribution networks.
Lectures will present much of the foundation of the course. Textbooks provide the basic concepts, vocabulary, and important details on which lecture material will be based. A few topics covered in the lectures may not be covered in the textbooks and vice versa. Most of the lectures time will be spent examining the specific topics and or examples that provide a meaningful context with the concepts presented in the textbooks. Assignments will be given at the end of some classes.
|
Textbooks |
|
Prerequisites |
Students must have attended the courses on the "Electrical Power Systems" and on the "Dynamics of Electrical Machines"; possibly, they even should have passed the corresponding exams.
Basic concepts on power systems and electrical machines are essential to understand the topics proposed in this course.
|
Course goals
|
This course has three main objectives:
- to analyse the structure of typical power systems and, in particular, of existing electrical distribution grids as well as their basic operation conditions;
- to present the student a vision of how smart grids will transform the current electricity grids to reliable and sustainable modern energy systems;
- to show the progression state of studies and achievements on smart grid technologies in Italy by analyzing pilot projects implemented on existing distribution networks.
|
Course outcome
|
Upon completion of this course students will be able to:
- understand the architecture of existing electrical power systems and their basic operation conditions;
- develop appropriate models for electrical distribution systems;
- perform distribution grid studies (power flow, short circuit etc.) by writing/using simple computer programs;
- understand protection and automation of existing distribution networks;
- understand the concepts of smart grid and microgrid, in comparison with conventional distribution grid, and identify their opportunities and barriers;
- understand renewable energy systems and storage systems as well as their grid integration;
- understand the integration of electrical vehicles with rechargeable batteries into distribution networks.
|
Grading
|
20% homework problems
|
|
grading G1 (from 0 up to 30 points)
|
80% in-class exams
|
30% midterm exam
|
grading G2 (from 0 up to 30 points) |
|
50% final exam
|
grading G3 (from 0 up to 30 points) |
Final Grade = round(0.2 * G1 + 0.3 * G2 + 0.5 * G3)
|
Grading scale
|
In Italy, for ordinary exams, universities use a 30-point scale that can be devidet into failing (0 to 17) and passed (18 to 30 cum laude) grades.
| ITALIAN GRADES |
ETCS GRADE
|
ETCS DESCRIPTION |
US GRADE
|
US DESCRIPTION
|
30-30 cum laude
|
A
|
Excellent |
A+ |
Excellent |
28-29
|
A |
Excellent |
A
|
Excellent |
26-27
|
A
|
Excellent |
A- |
Excellent |
24-25
|
B
|
Very good
|
B+
|
Good
|
23
|
B
|
Very good
|
B
|
Good
|
22
|
B
|
Very good
|
B-
|
Good
|
21
|
C
|
Good
|
C+
|
Satisfactory
|
| 20 |
C |
Good |
C |
Satisfactory |
| 19 |
C |
Good |
C- |
Satisfactory |
| 18 |
D |
Satisfactory |
D |
Barely passing
|
| 14-17 |
Fx
|
Fail |
E |
Fail |
| 0-16 |
F
|
Fail |
F |
Fail |
|
Homeworks
|
Homeworks, which will be assigned approximately on bi- or three-weekly basis (except during the week of the midterm exam), are expected to be sent to instructor in PDF format by email attachments. When students submitt files electronically, not later than one week from the assignment, they must use the following naming convention:
SMGD_HW??_YourLastName.pdf
where: double question mark, ??, must be replaced by the progression number of homework assignment; for example, suppose that the student last name is Simpson, for homework assignment number 2, he should name his file as "SMGD_HW02_Simpson.pdf".
Late homeworks, in general, will be graded to zero, unless there are legitimate reasons: should a student anticipate that he or she cannot turn in the assignment on time, then he or she must inform the instructor BEFORE the assignment's due date.
Although, one ore more homeworks will be graded to zero, due to the non-compliance with deadlines, all assignments must be mandatory submitted before all-in-one exams (as scheduled in Exams scheduling), otherwise, student will not be admitted to the test.
|
Exams
|
There will be a midterm exam and a final one in this class, they will
be
given
in a
lecture
period. If a student, for any reason, does not give the midterm/final exam, or want to improve the grade obtained, he or she can give the all-in-one exam during the
time
scheduled
by
the
university
(see Exams scheduling).
The exam is passed if the final grade (taking in to account all assignments as in Grading) exceeds 18 (see Grading scale); otherwise, the student will have to give the all-in-one exam again.
The
in-class exams are closed-book and closed-notes. In addition, during
the exams, all electronic devices must turned off, as
well as everything, except a calculator and the stationery material (pens, pencils, erasers etc.), must be removed
from desk.
|
Exams scheduling
|
| SESSION |
START |
END
|
EXAM DAY
|
TIME AND CLASSROOM
|
I outstanding
|
15.10.2018
|
10.11.2018 |
27.10.2018 |
Time: 10:00 - 13:00 Classroom: 38
|
I and II
|
07.01.2019 |
23.02.2019 |
16.01.2019
|
Time: 09:00 - 12:00 Classroom: 38
|
|
|
|
13.02.2019 |
Time: 09:00 - 12:00 Classroom: 38
|
| II outstanding |
11.03.2019
|
13.04.2019
|
23.03.2019
|
Time: 10:00 - 13:00 Classroom: 40
|
III and IV
|
03.06.2019
|
31.07.2019
|
19.06.2019 |
Time: 09:00 - 12:00 Classroom: 41 |
|
|
|
17.07.2019 |
Time: 09:00 - 12:00 Classroom: 38 |
V
|
02.09.2019 |
21.09.2019 |
18.09.2019 |
Time: 09:00 - 12:00 Classroom: ?? |
|
Attendance and expectations
|
It is expected that students will spend twelve to fifteen hours on average per week, outside of class, on this course to review the class material, and work on homeworks, which will be assigned approximately on bi- or three-weekly basis, except during the week of the midterm exam.
It is also expect students have read over lecture materials ahead of class so that class time is used efficiently to explain concepts. It is preferred that students submit their questions by email, but if they come to office hours then they must have prepared questions.
Attendance is expected but not required. However, if a student chose to come to class, he must be prompt and he has to be seated in class before the beginning of the lecture.
Cell phones and other electronic devices are to be silenced. No text messaging during class or exams.
|
Academic honesty
|
Each student must exclusively turn in own work. In particular, students are not allowed to ask anyone but instructor for help with their homeworks or programming assignments. However, they are free to discuss the topics and concepts of the course with their classmates, as long as they do not discuss the specifics of any assignment. Students are expected to make an honest, independent attempt to solve and turn in their answers to each homework question. Any violation of this policy could result in failure of the course.
|
Assessment feedback
|
Students will receive feedback on all graded assessments (i.e., homeworks and in-class exams) by corresponding grade tables posted on the web page: Exams.
In particular, feedback on all graded assessments related to homeworks, midterm and final exams will be published before the first scheduled all-in-one exam.
Verbalization calendars of passed exams will be also posted on the same web page: Exams.
Students will be punctually informed on all available updates (grade tables and verbalization calendars) by posted notices on the web page: Notice board.
|
Last minute information
|
Urgent communications, such as variations of time or classroom of lectures or exams, or any other information about course or students, will be immediately posted on the web page: Notice board.
|
Calendar
|
LEC#: DATE@TIME
|
TOPICS
|
REFERENCE |
01: 24.09.18@10-13
|
Course introduction
|
SMGR_LC01
|
02: 27.09.18@10-13
|
Electric system structure |
SMGR_LC02 |
03: 28.09.18@14-16
|
Numerical applications: voltage reg. and p.f. correction
| In Lear. Mat. |
| 04: 01.10.18@10-13
|
Electric system operation |
SMGR_LC03 |
| 05: 04.10.18@10-13
|
Why will we need a smarter grid? |
SMGR_LC04 |
| 06: 05.10.18@14-16
|
HV and MV OHL and PCL: line models and their behavior
| Notes
|
| 07: 08.10.18@10-13
|
Design of MV distribution lines: theory and examples
|
Notes |
| 08: 11.10.18@10-13 | Numerical applications: feeder fed at one end
| Notes |
09: 12.10.18@14-16
|
Numerical applications: feeder and several lateral branches
|
Notes |
10: 15.10.18@10-13
|
Numerical applications: feeder fed at both ends (rings) | Notes |
11: 18.10.18@10-13
|
Per-unit method: theory and examples
|
In Lear. Mat. |
| 12: 19.10.18@14-16
|
Numerical applications: per-unit method
|
In Lear. Mat. |
| 13: 22.10.18@10-13
|
Power-flow studies: theory and examples
|
In Lear. Mat. |
14: 25.10.18@10-13
|
Lecture not given (due to illness)
|
|
15: 26.10:18@14-16
|
Lecture not given (due to illness) |
|
16: 29.19.18@10-13
|
Classes suspended because of weather alert
|
|
17: 02.11.18@14-16
|
Numerical applications: power-flow studies by matpower |
SMGR-NA03 | | 18: 05.11.18@10-13 | Numerical applications: power-flow studies by matpower | SMGR-NA03 |
19: 09.11.18@10-13
|
Short-circuit studies: theory and examples
|
[1] Ch. 04 |
20: 10.11.18@14-16
|
Numerical application: symmetrical three-phase short circuit |
[1] Ch. 04 |
21: 12.11.18@10-13
|
Solution of first homework: discussion and comments
|
SMGR-HW01 |
22: 15.11.18@10-13
|
Lecture cancelled (classroom used for the state exam)
|
|
23: 16.11.18@14-16
|
Solution of second homework: discussion and comments |
SMGR-HW02 |
24: 19.11.18@10-13
|
In-class midterm exam
|
|
| 25: 20.11.18@16-19 | Solution of midterm exam: discussion and comments | Notes |
| 26: 22.11.18@10-13 | Sequence components: theory and examples | [1]Ch.4+Notes |
27: 23.11.18@14-16
|
Sequence components: theory and examples |
[1]Ch.4+Notes |
| 28: 26.11.18@10-13
|
Numerical application: unsymmetrical faults |
Notes |
| 29: 27.11.18@16-19 | Lecture not given (due to an institutional commitment) | |
| 30: 29.11.18@10-13
|
Numerical application: unsymmetrical faults |
Notes |
| 31: 30.11.18@14-16
|
Numerical application: unsymmetrical faults
|
Notes |
| 32: 03.12.18@10-13
|
Protection of distribution systems: theory and examples | [1] Ch. 05
| | 33: 04.12.18@16-19 | Protection of distribution systems: theory and examples
| [1] Ch. 05 | | 34: 06.12.18@10-13
|
Protection of distribution systems: numerical applications | Notes |
| 35: 07.12.18@14-16
|
Protection of distribution systems: numerical applications |
Notes |
| 36: 10.12.18@10-13 | Case study: e-distribuzione - operation of distribution grids | SMGR_NC05 | | 37: 11.11.18@16-19 | Real time data for smart grids
| SMGR_NC10 |
| 38: 13.12.18@10-13
|
Storage systems in electric power systems
| SMGR_NC09 |
| 39: 14.12.18@14-16
|
Solution of third homework: discussion and comments | SMGR-HW03 |
| 40: 17.12.18@10-13
|
Case study: ASM Terni - demand response
|
SMGR_NC07 |
| 41: 18.11.18@16-19 | Case study: e-distribuzione - storage systems in MV grids
Solution of fourth homework: discussion and comments | SMGR_NC06
SMGR-HW04
|
| 42: 20.12.18@10-13
|
Case study: TDE Terni - cyber security |
SMGR_NC08 |
| 43: 21.12.18@14-16
|
In-class final exam |
|
| | | | | | | |
|
Tutoring activity
| There are no official tutoring activities.
A small tutoring activity is carried out by Prof. Maccioni on a voluntary basis only.
|
Download course materials
|
Powerpoint slides, handouts, lesson notes and any other type of teaching material (such as typical examples of homework and exams with their solutions) can be downloaded directly from this web page, by clicking on corresponding links, or from the links on the web page: Learning materials.
|
Master degree thesis
|
Several themes for master degree theses are available concerning, power systems, smart- and micro-grids, two of them are:
- Analysis of the static and dynamic stability of the Italian network in the presence of renewable energy sources only.
- Smart meters and energy managers: a possible coupling under the control of the DSO for grid operation in the future smart world.
- Optimal operation of a micro-grid integrated within a MV public distribution network under normal or abnormal operation conditions
- Exploration of a Scalable Holomorphic Embedding Method Formulation for Distribution System Analysis Applications
- Micro- and smart grids resilience improvement
|
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