ELECTRICAL-ELECTRONICS ENGINEERING (MASTER) (WITH THESIS) (ENGLISH)
Qualification Awarded	Program Süresi	Toplam Kredi (AKTS)	Öğretim Şekli	Yeterliliğin Düzeyi ve Öğrenme Alanı
Master's ( Second Cycle) Degree	2	120	FULL TIME	TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 7 QF-EHEA:Second Cycle TR-NQF-HE, ISCED (1997-2013):

Ders Genel Tanıtım Bilgileri

Course Code:

3026002038

Ders İsmi:

Energy Systems Optimizations

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Labs	Credit	ECTS
3	0	0	3	6

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Other Recommended Topics for the Course:

Type of course:

Department Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. Çağatay ULUIŞIK

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	Provide the students with the necessary knowledge and skill to optimization of energy systems for different configurations.
Course Content:	Basic concepts of optimization, Methods of optimizing energy systems, Objective function ( thermodynamic, economic, thermoeconomy),Optimization methods, Linear Programming, Non-linear programming, Simplex method, Application of optimization on energy conversion plants

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Knows the concepts of optimization problem
2) Energy systems can turn their problems into optimization problems
3) Solve optimization problems
2 - Skills
Cognitive - Practical
1) Can use computer to solve optimisation problems
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Basic concepts of optimization	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
2)	Workable and Optimum Concept	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
3)	Optimization Concept and Objects (Objective Function, Constraint, etc.)	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
4)	One-Dimensional Unconstrained Optimization	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
5)	One-Dimensional Constrained Optimization	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
6)	Multi-Dimensional Constrained Optimization	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
7)	Linear and Non-Linear Equation Solutions	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
8)	Midterm exam
9)	Optimization in Energy Systems	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
10)	Optimization in Energy Systems	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
11)	Application of energy systems optimization problems	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
12)	Linear Programming	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
13)	Linear Programming and Graphics Solution	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
14)	Economic optimization application on energy conversion systems	Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015. Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018. Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021. Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.
15)	Final exam

Sources

Course Notes / Textbooks:

Convex Optimization of Power Systems, 1st Edition, Joshua Adam Taylor, Cambridge University Press, 2015.
Fundamentals of Power System Economics, 2nd Edition, Daniel S. Kirschen, Goran StrBac, WILEY, 2018.
Mathematical Programming for Power System Operation: Fom Theory to Applications in Python, 1st Edition, WILEY-IEEE Press, 2021.
Power System Optimization Modelling in GAMS, 1st Edition, Alireza Soroudi, Springer, 2017.

References:

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3	4
Program Outcomes
1) It aims to conduct scientific research in the field of Electrical and Electronics Engineering that can compete with the competitive world, to obtain valid results by using advanced engineering principles and tools, and to provide high expertise skills.
2) Understand current issues in the practice of Electrical and Electronics Engineering; investigate the impact of engineering solutions in global, economic, environmental, societal and ethical contexts, including political, health, safety, manufacturability and sustainability; and make high quality technical decisions by providing innovative and state-of-the-art approaches to solving complex technical problems.
3) The ability to develop and carry out appropriate projects, to analyse and interpret data and to use informed decision-making skills to draw conclusions, to acquire new knowledge as needed, to fill in missing information and to apply it, using appropriate learning strategies.
4) To be able to construct, formulate and model Electrical and Electronics Engineering problems, to develop effective methods to solve problems, to divide and evaluate the problem into sub-problems, to use innovative and systematic methods in solution.
5) Develop new and/or original ideas, tools, programmes, simulations and products.
6) Developing analytical thinking skills and conducting experimental laboratory studies, developing the ability to solve and interpret complex situations encountered.
7) To work with others from different cultural and interdisciplinary backgrounds and to add value to joint projects.
8) To be prone to group work and to gain the ability to work in a team and individually.
9) Electrical and Electronics Engineering Master of Science (with thesis) programme aims to conduct research, development, software, design and interdisciplinary studies in sub-speciality areas such as communication technologies, signal and image processing, computer systems, energy and electrical power systems.
10) To enable each student to work in sub-speciality programmes appropriate to his/her individual interest and educational background with faculty members who are well-equipped in their fields and to help him/her to accumulate knowledge in these areas of expertise.
11) To enable students to make original contributions to the literature through a research-based, two-year full-time education beyond their undergraduate degree; to equip them with the depth and breadth of knowledge and relevant skills required to succeed in today's engineering world.
12) To gain the ability to solve current engineering problems and the ability to apply computation, analysis, mathematical modelling and simulation methods appropriate for this purpose. In addition, to gain the ability to read, understand and integrate engineering research literature into an existing problem.
13) To develop skills to lead the design and implementation of systems analysis and advanced technological solutions with remarkable competence.
14) To transform theoretical knowledge and resources into applications or products with the most up-to-date software and advanced hardware-based programmes. To use the results effectively.
15) Awareness of the necessity of lifelong learning; to gain the ability to access information, to follow developments in science and technology and to gain the ability to constantly renew themselves.
16) To gain awareness of professional and ethical responsibility.
17) Gaining the ability to publish and present in scientific journals and conferences.

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	It aims to conduct scientific research in the field of Electrical and Electronics Engineering that can compete with the competitive world, to obtain valid results by using advanced engineering principles and tools, and to provide high expertise skills.
2)	Understand current issues in the practice of Electrical and Electronics Engineering; investigate the impact of engineering solutions in global, economic, environmental, societal and ethical contexts, including political, health, safety, manufacturability and sustainability; and make high quality technical decisions by providing innovative and state-of-the-art approaches to solving complex technical problems.
3)	The ability to develop and carry out appropriate projects, to analyse and interpret data and to use informed decision-making skills to draw conclusions, to acquire new knowledge as needed, to fill in missing information and to apply it, using appropriate learning strategies.
4)	To be able to construct, formulate and model Electrical and Electronics Engineering problems, to develop effective methods to solve problems, to divide and evaluate the problem into sub-problems, to use innovative and systematic methods in solution.
5)	Develop new and/or original ideas, tools, programmes, simulations and products.
6)	Developing analytical thinking skills and conducting experimental laboratory studies, developing the ability to solve and interpret complex situations encountered.
7)	To work with others from different cultural and interdisciplinary backgrounds and to add value to joint projects.
8)	To be prone to group work and to gain the ability to work in a team and individually.
9)	Electrical and Electronics Engineering Master of Science (with thesis) programme aims to conduct research, development, software, design and interdisciplinary studies in sub-speciality areas such as communication technologies, signal and image processing, computer systems, energy and electrical power systems.
10)	To enable each student to work in sub-speciality programmes appropriate to his/her individual interest and educational background with faculty members who are well-equipped in their fields and to help him/her to accumulate knowledge in these areas of expertise.
11)	To enable students to make original contributions to the literature through a research-based, two-year full-time education beyond their undergraduate degree; to equip them with the depth and breadth of knowledge and relevant skills required to succeed in today's engineering world.
12)	To gain the ability to solve current engineering problems and the ability to apply computation, analysis, mathematical modelling and simulation methods appropriate for this purpose. In addition, to gain the ability to read, understand and integrate engineering research literature into an existing problem.
13)	To develop skills to lead the design and implementation of systems analysis and advanced technological solutions with remarkable competence.
14)	To transform theoretical knowledge and resources into applications or products with the most up-to-date software and advanced hardware-based programmes. To use the results effectively.
15)	Awareness of the necessity of lifelong learning; to gain the ability to access information, to follow developments in science and technology and to gain the ability to constantly renew themselves.
16)	To gain awareness of professional and ethical responsibility.
17)	Gaining the ability to publish and present in scientific journals and conferences.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Alan Çalışması
Bireysel çalışma ve ödevi
Homework

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Bireysel Proje

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 30
Midterms	1	% 30
Semester Final Exam	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	4	56
Project	1	30	30
Homework Assignments	3	15	45
Midterms	1	2	2
Final	1	2	2
Total Workload			177