Sgmp Trans
Helwan University

كلية الهندسة بحلوان - جامعة حلوان

برنامج ماجستير العلوم في هندسة الشبكات الكهربية الذكية

M.Sc Program in Electrical Smart Grid Engineering

Program Structure​

  • The program structure is designed to suit students with different backgrounds (Electrical Power Engineering, Electronics and Communication Engineering or Computer Engineering) and meets the requirements of different career paths in the field of Smart Grid.
  • Total Credit Hours of the M.Sc Program: 48 Cr.Hrs.
    • Student will study 4 compulsory courses in the preparatory stage (12 Cr.Hrs.)
    • Student will study 6 elective courses in the master stage (18 Cr.Hrs): Student should select 3 courses from Group I and 3 other Courses from Group II.
    • Student will conduct a research thesis equivalent to 18 Cr.Hrs in the field of Electrical Smart Grid Engineering.

Program Courses​

StageCourse TitleCredit Hours
Preparatory Stage
(4 Compulsory Courses)
Introduction to Smart Grid
مقدمة في الشبكات الذكية
3 Cr.Hrs.
Discrete Mathematics and Optimization
الرياضيات الرقمية والحلول المثلى
3 Cr.Hrs.
Measurements and Signal Processing
القياسات ومعالجة الإشارات
3 Cr.Hrs.
Communication Technologies
تكنولوجيات الاتصالات
3 Cr.Hrs.
Master Stage
Group I Courses

(Student will select 3
Courses from this Group)
Renewable and Distributed Generation
الطاقة المتجددة والتوليد الموزع
3 Cr.Hrs.
Advanced Distribution and Substation Automation
أتمتة المحطات الفرعية والتوزيع الكهربي المتقدم
3 Cr.Hrs.
Demand Response
الإستجابة للطلب الكهربي
3 Cr.Hrs.
Adaptive Protection Systems in Smart Grid
أنظمة الحماية المتوائمة فى الشبكات الذكية
3 Cr.Hrs.
Microgrid and Virtual Power Plant
الشبكات المصغرة ومحطات الطاقة الافتراضية
3 Cr.Hrs.
Smart Grid Planning and Operation
تخطيط وتشغيل الشبكات الذكية
3 Cr.Hrs.
Power Control in Smart Grid
التحكم فى القوى الكهربية للشبكات الذكية
3 Cr.Hrs.
Electric Vehicles Integration into Smart Grid
إدماج المركبات الكهربية فى الشبكات الذكية
3 Cr.Hrs.
Master Stage
Group II Courses

(Student will select 3
Courses from this Group)
Simulation and Hardware Tools
المحاكاة وأدوات الهاردوير
3 Cr.Hrs.
Smart Building and Internet of Things (IoT)
المنشأت الذكية وانترنت الأشياء
3 Cr.Hrs.
Advanced Metering Infrastructure
البنية التحتية لنظم القياسات المتقدمة
3 Cr.Hrs.
Cyber Security and Data Privacy
أمن شبكات المعلومات وخصوصية البيانات
3 Cr.Hrs.
ICT Infrastructure in Smart Grid
البنية التحتية لتكنولوجيا المعلومات والاتصالات في الشبكات الذكية
3 Cr.Hrs.
Cloud Computing and Big Data Analysis
الحوسبة السحابية وتحليل البيانات الكبيرة
3 Cr.Hrs.
Condition Monitoring and Asset Management in Smart Grid
مراقبة الحالة وإدارة الأصول في الشبكات الذكية
3 Cr.Hrs.
Selected Topics
موضوعات مختارة
3 Cr.Hrs.

Courses Description

Preparatory Stage (Compulsory Courses)

Course Title: Introduction to Smart Grid

Credit Hours: 3 Cr.Hrs.

Course Description
The transformation from centralized to distributed energy resources brings new challenges for metering, pricing, communication, and distribution. Basically, we will see a power system enhanced with information technology. This course aims to provide  an introduction to the key mechanism of the smart grid such as: Energy generation, Energy distribution networks, communication technologies, Energy sustainability, Smart microgrids, Smart metering and home automation, E-mobility, and information technologies used in smart grid.

Course Title: Discrete Mathematics and Optimization

Credit Hours: 3 Cr.Hrs.

Course Description
This course provides the basics of optimization methods applied to smart grid design and operation. Graph theory, linear programming, non-linear unconstrained and constrained optimization, Combinatorial optimization, and Stochastic Programming.

Course Title: Measurements and Signal Processing

Credit Hours: 3 Cr.Hrs.

Course Description
This course provides the basic fundamentals to understand the main aspects of common electrical measurements in Smart Grids, the characteristics of used sensors, signal conditioning circuits, and noise and coherent interference mitigation. In addition, it discusses the basics on digital signal processing applied to Smart Grids measurements.

Course Title: Communication Technologies

Credit Hours: 3 Cr.Hrs.

Course Description
This course focuses on the principles of telecommunications, the protocols and the standards of the main wired and wireless communication technologies. It then discusses the role of communication networks in smart grids, the main applications and the requirements.

Master Stage (Group I Elective Courses)​

Course Title: Renewable and Distributed Generation

Credit Hours: 3 Cr.Hrs.

Course Description
Introduction to renewable and distributed generation Solar Energy (solar spectrum, solar radiation measurements, concentrating solar power (CSP) technologies, Photovoltaic cells). Wind Energy, Biomass Energy Fuel cells and Stirlling Engine Energy. Applications of Distribution Generation (DG). Power quality in distributed generation, Design of DG systems.

Course Title: Advanced Distribution and Substation Automation

Credit Hours: 3 Cr.Hrs.

Course Description
This course explains the differences and requirements of distribution system in smart grid as well as the control and protection schemes in distribution substation. Moreover, it covers the advanced techniques of substation automation systems and explains the main components and operation of distribution management system.

Course Title: Demand Response

Credit Hours: 3 Cr.Hrs.

Course Description
This course aims to allow students to be able to understand and apply demand response techniques and load scheduling for efficient and economic operation of smart grid using communication infrastructure.

Course Title: Adaptive Protection Systems in Smart Grid

Credit Hours: 3 Cr.Hrs.

Course Description
This course provides profound information about the digital power system protection and modern applications in smart grid system. The Synchronized measurement technology, infrastructure of wide area measurements are addressed. The course also covers the architecture and applications of a WAMPAC system and developing many protection techniques based on WAMs.

Course Title: Microgrid and Virtual Power Plant

Credit Hours: 3 Cr.Hrs.

Course Description
This course provides the students with a working knowledge of fundamentals, design, analysis, and development of Micro-grid and virtual power plant. The course also offers simulation and control of micro-grid and virtual power plant.

Course Title: Smart Grid Planning and Operation

Credit Hours: 3 Cr.Hrs.

Course Description
This course aims to cover a generic framework for planning and operation of smart grid that handles newly emerged challenges and cope with specified targets of societies and future electricity demand. The course sails among introducing basic SG operational elements, enhancing operational functional objectives, optimizing operational performance, maintaining system safety and integrity, and lastly, ensuring system operability.

Course Title: Power Control in Smart Grid

Credit Hours: 3 Cr.Hrs.

Course Description
This course provides the basic fundamentals to understand the main aspects of active and reactive power control in the modern electric power systems/smart grids. At the end of the course, students are able to understand the main technical problems related to converter control techniques, active and reactive power control of Grid-Connected PV and wind energy conversion systems, and harmonic filters.

Course Title: Electric Vehicles Integration into Smart Grid

Credit Hours: 3 Cr.Hrs.

Course Description
This course aims to cover the recent advancements in charging strategies and charging coordination for Plug-in Electric Vehicles (PEVs) in smart grids and addresses different V2G optimization techniques and approaches and the associated advantages and challenges of PEV.

Master Stage (Group II Elective Courses)​

Course Title: Simulation and Hardware Tools

Credit Hours: 3 Cr.Hrs.

Course Description
This course introduces the operation fundamentals of the different hardware tools used in control of smart grid systems and the main technical issues relevant to the selection between these tools. It also introduces the most common simulation tools used to evaluate the performance of the smart grid systems. By the end of this course, the student should recognize the practical software and hardware requirements for the accurate simulation and implementation of smart grid systems.

Course Title: Smart building and Internet of Things (IoT)

Credit Hours: 3 Cr.Hrs.

Course Description
The Internet of things technologies are helping the properties owners and managers to enable systems that deliver more accurate and useful information for improving operations and provide the best experience for tenants. This course focuses on the interaction between technology, energy, people and nature in the context of smart buildings. Moreover, it describes the novel technologies and procedures available for this environment.

Course Title: Advanced Metering Infrastructure

Credit Hours: 3 Cr.Hrs.

Course Description
This course is designed to provide the students with direct experience in the design, implementation, and operation of the advanced metering infrastructure (AMI). The course will elucidate the basic architecture and technology of the AMI as an integral part of the smart grid system. Topics include fundamental concept and components of the AMI and smart meters, technologies and topologies of AMI, AMI communication infrastructure, information transport methods, and cyber security related aspects to AMI systems.

Course Title: Cyber Security and Data Privacy

Credit Hours: 3 Cr.Hrs.

Course Description
This course aims to cover the recent advancements in smart grid security and data privacy. Discuss common security techniques, protocols and tools to protect smart grid networks.

Course Title: ICT Infrastructure in Smart Grid

Credit Hours: 3 Cr.Hrs.

Course Description
This course aims to cover the various approaches, protocols, standards and novel techniques for data communications and networking infrastructures in smart grid and the employing of machine intelligence concepts and algorithms in smart grids communications for enhanced networking operations and sustained quality of service (QoS) levels.

Course Title: Cloud Computing and Big Data Analysis

Credit Hours: 3 Cr.Hrs.

Course Description
This course provides a working knowledge of fundamentals, design and development of Cloud Computing. In addition, an appreciation of the challenges of managing vast quantities of structured and unstructured big data, and how organizations are trying to leverage big data stores via analytics for strategic decision-making are gained, with practical experience to solve problems across a range of smart grid application.

Course Title: Condition Monitoring and Asset Management in Smart Grid

Credit Hours: 3 Cr.Hrs.

Course Description
This course aims to cover the techniques and standards of asset management in smart grid and to ensure minimum life cycle costs of assets while achieving maximum energy production and system reliability. The course offers the basics of reliability and economic analysis and their application in smart grid context.

Course Title: Selected Topics

Credit Hours: 3 Cr.Hrs.

Course Description
This course is designed to explore and cover the recent selected topics appear in the field of smart grid and its related technologies.

تواصل معنا

ادارة البرامج الجديدة – المبنى الاداري بكلية الهندسة بحلوان – جامعة حلوان
    رقم 1 شارع مصطفى فهمي، حلوان

+20 100 537 2591
+20 112 374 5077
sgmp@h-eng.helwan.edu.eg