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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| ELECTRICAL-ELECTRONICS ENGINEERING (MASTER) (WITH THESIS) (ENGLISH) | |
| Code | EE518 |
| Name | Akıllı Şarj ve Elektrikli Araç Şarj Ağı Optimizasyonu |
| Term | 2026-2027 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MEHMET TÜMAY |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The goal is to design efficient, sustainable, and user-centric charging networks within the framework of load balancing, demand forecasting, pricing strategies, and grid integration.
Course Content
EV Charging Infrastructure Overview Smart charging concept and types: Controlled charging Demand response Time-of-use (ToU) pricing EV charging demand modeling: User behavior Time series forecasting Optimization techniques: Linear programming (LP) Mixed integer programming (MILP) Heuristic methods (GA, PSO, NSGA-II) Load management and grid impacts Distributed energy source integration Integration with energy storage (BESS) V2G and V2H systems Dynamic pricing and economic optimization Charging station site selection and capacity planning Real-time control and data analytics IoT and communication infrastructure Standards and regulations
Course Precondition
Power systems Basic optimization Programming (Python/MATLAB)
Resources
Electric Vehicle Integration into Modern Power Networks – Tan, Wang
Notes
International Energy Agency – EV Outlook Reports IEEE – IEEE Transactions on Smart Grid
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Analyzes smart charging strategies. |
| LO02 | Model and predict EV charging demand. |
| LO03 | Develops optimization models for charging station networks. |
| LO04 | Designs load management systems that take network constraints into account. |
| LO05 | Implements dynamic pricing and demand-side management. |
| LO06 | Analyzes V2G (Vehicle-to-Grid) integration. |
| LO07 | Develops data-driven decision support systems. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Being able to specialize in at least one of the branches that form the foundations of electrical-electronic engineering by increasing the level of knowledge beyond the undergraduate level. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | To comprehend the integrity of all the subjects included in the field of specialization. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Knowing and following the current scientific literature in the field of specialization | |
| PLO04 | Bilgi - Kuramsal, Olgusal | To be able to comprehend the interdisciplinary interaction of the field with other related branches. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to do theoretical and experimental work | |
| PLO06 | Bilgi - Kuramsal, Olgusal | To create a complete scientific text by compiling the information obtained from the research. | |
| PLO07 | Bilgi - Kuramsal, Olgusal | To work on the thesis topic programmatically, following the logical integrity required by the subject within the framework determined by the advisor. | |
| PLO08 | Bilgi - Kuramsal, Olgusal | To search for literature in scientific databases, particularly the ability to correctly and accurately scan databases and evaluate and categorize listed items. | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Knowledge of English at a level that can easily read and understand a scientific text written in English in the field of specialization | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Compile information on his/her expertise in a presentation format and present it understandably and effectively. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Ability to write a computer program in a familiar programming language, generally for a specific purpose, specifically related to the field of expertise. | 5 |
| PLO12 | Bilgi - Kuramsal, Olgusal | Being able to guide and take the initiative in environments that require solving problems related to the field | |
| PLO13 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Ability to communicate with people in an appropriate language | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | To be able to produce projects, policies, and processes in the field of expertise and to evaluate these elements | 5 |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Ability to research new topics based on existing research experience |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to EV charging systems. | Introduction to EV charging systems. | Öğretim Yöntemleri: Anlatım |
| 2 | Smart charging concept | Smart charging concept | Öğretim Yöntemleri: Anlatım |
| 3 | EV user behavior and demand modeling | EV user behavior and demand modeling | Öğretim Yöntemleri: Anlatım |
| 4 | Time series forecasting methods | Time series forecasting methods | Öğretim Yöntemleri: Anlatım |
| 5 | Fundamentals of Optimization | Fundamentals of Optimization | Öğretim Yöntemleri: Anlatım |
| 6 | Linear and mixed integer programming | Linear and mixed integer programming | Öğretim Yöntemleri: Anlatım |
| 7 | Heuristic optimization algorithms | Heuristic optimization algorithms | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Ödev, Proje / Tasarım, Performans Değerlendirmesi |
|
| 9 | Load management and network integration | Load management and network integration | Öğretim Yöntemleri: Anlatım |
| 10 | Integration with energy storage | Integration with energy storage | Öğretim Yöntemleri: Anlatım |
| 11 | V2G systems | V2G systems | Öğretim Yöntemleri: Anlatım |
| 12 | Dynamic pricing | Dynamic pricing | Öğretim Yöntemleri: Anlatım |
| 13 | Charging network planning and site selection | Charging network planning and site selection | Öğretim Yöntemleri: Anlatım |
| 14 | Real-time monitoring and data analytics | Real-time monitoring and data analytics | Öğretim Yöntemleri: Anlatım |
| 15 | Project presentations | Project presentations | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Ölçme Yöntemleri: Ödev, Proje / Tasarım, Performans Değerlendirmesi |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 5 | 15 | 75 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 6 | 3 | 18 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 2 | 2 |
| Final Exam | 1 | 2 | 2 |
| Total Workload (Hour) | 139 | ||
| Total Workload / 25 (h) | 5,56 | ||
| ECTS | 6 ECTS | ||