525.651.81 - Introduction to Electric Power Systems

Electrical and Computer Engineering
Fall 2023


This course introduces and explains fundamentals of electrical power systems design and engineering. Phasors and their application to power systems analysis are reviewed. The concept of the per-unit system is introduced and applied to circuit calculations. Transformers and their application to electrical power transmission and distribution systems will be covered. Transmission line parameters, their calculation, and transmission line modeling are introduced. Steady-state operation of transmission lines is modeled and investigated. Power flow analysis computational techniques are covered. Short-circuit analysis and the method of symmetrical components are introduced. The concept of power system protection and the role of automatic relays will be covered. Primary and secondary distribution systems and substations are introduced. Renewable energy generation and the integration of renewable energy into the modern power grid will be introduced. Prerequisite(s): Course in electrical networks and a course in linear algebra and matrix operations. MATLAB required software. Course Note(s): Matlab is required for this course.


Profile photo of Foad Alvandi.

Foad Alvandi

Course Structure

The minimum pre-requisite for successful completion of this course is a course in electrical networks / AC circuits, and a course in linear algebra and matrix operations.
The course materials are divided into modules which can be accessed by clicking Course Modules on the left menu. A module will have several sections, including the overview, content, readings, discussions, and assignments and pre-recorded lectures. You are encouraged to preview all sections of the module before starting. Most modules run for a period of seven (7) days, exceptions are noted on the Course Outline page. You should regularly check the Calendar and Announcements for assignment due dates.

Course Topics



Course Goals

To gain knowledge of the different functional components of the modern electrical power system, and their inter-relations. To model power system components mathematically, and to apply fundamental electrical network theory principles to the power systems represented by such models. To apply the knowledge gained in this course to analyzing a given power system, evaluate its adequacy, and engineer measures to improve the power system performance.


Course Learning Outcomes (CLOs)


Glover, D. J., Sarma, M.S., & Overbye, T. (2012). Power system analysis and design (5th ed.). Boston, MA: Cengage Learning.

ISBN-13  978-1-111-42577-7

Textbook information for this course is available online through the appropriate bookstore website: For online courses, search the MBS website at http:// ep.jhu.edu/bookstore.


Required Software

MATLAB is a required software for this course.  The homework assignments as well as exams for this course do generally require software assisted calculations in order tof be done in a reasonable time.  You can use excel for some of the problems or use another software that is equivalent to MATLAB to assist you in completing the problems.  MATLAB Total Academic Headcount (TAH) license is now in

effect. This license is provided at no cost to you. Send an email to software@jhu.edu to request your license file/code. Please indicate that you need a standalone file/code. You will need to provide your first and last name, as well as your Hopkins email address. You will receive an email from Mathworks with instructions to create a Mathworks account. The MATLAB software will be available for download from the Mathworks site.


Student Coursework Requirements

It is expected that each module will take approximately 7–10 hours per week to complete. Here is an approximate breakdown: reading the assigned sections of the texts (approximately3–4 hours per week) as well as some outside reading, listening to the audio annotated slide presentations (approximately 2–3 hours per week), and writing assignments (approximately 2–3 hours per week).


This course will consist of two basic student requirements:


  1. Assignments (10% of Final Grade Calculation)


Assignments will be a selection of problems from your textbook, or those put together by me. Please include a cover sheet with your name and assignment identifier. Also include your name and a page number indicator (i.e., page x of y) on each page of your submissions. Each problem should have the problem statement, assumptions, computations, and conclusions/discussion delineated. All Figures and Tables should be captioned and labeled appropriately.


All assignments are due according to the dates in the Calendar.


Late submissions will be reduced by one letter grade for each week late (no exceptions without prior coordination with the instructors).


  1. Each part of question is answered (25%)
  2. Intermediate derivations and calculations are provided (30%)
  3. Answer is technically correct and is clearly indicated (30%)
  4. Answer precision and units are appropriate (15%)





  1. Exams (90% of Final Grade Calculation, combined from 25% for Quizzes, 30% for Midterm and 35% for Final).


There will be four quizzes in this course. Quizzes are posted as follows:
Quiz 1, Module 3.

Quiz 2, Module 5 

Quiz 3, Module 10

Quiz 4, Module 12


The midterm exam will be available on Module 8 and the final exam will be available on the last module of the course.  A typical time period for completion of exam will be about three days, however the exact timing will be announced at the time of the publication of each exam.  You may consult the textbook, lecture videos and other course related resources for completion of each exam.  Discussing exam problems and solutions between students is strictly prohibited.  


The exams are evaluated by the following grading elements:


  1. Each part of question is answered. (25%)
  2. Intermediate derivations and calculations are provided. (30%)
  3. Answer is technically correct and is clearly indicated. (30%)
  4. Answer precision and units are appropriate. (15%)






Grading Policy

Assignments are due according to the dates posted in your Canvas course site. You may check these due dates in the Course Calendar or the Assignments in the corresponding modules. I will post grades one week after assignment due dates.


I generally do not directly grade spelling and grammar. However, egregious violations of the rules of the English language will be noted. Consistently poor performance in either spelling or grammar is taken as an indication of poor written communication ability that may detract from your grade.


A grade of A indicates achievement of consistent excellence and distinction throughout the course—that is, conspicuous excellence in all aspects of assignments and discussion in every week.


A grade of B indicates work that meets all course requirements on a level appropriate for graduate academic work. These criteria apply to both undergraduates and graduate students taking the course.


100–98 = A+

97–94 = A

93–90 = A−

89–87 = B+

86–83 = B

82–80 = B−

79–70 = C

<70 = F


Final grades will be determined by the following weighting:



% of Grade



Quizzes (4)




Final Exam



Academic Policies

Deadlines for Adding, Dropping and Withdrawing from Courses

Students may add a course up to one week after the start of the term for that particular course. Students may drop courses according to the drop deadlines outlined in the EP academic calendar (https://ep.jhu.edu/student-services/academic-calendar/). Between the 6th week of the class and prior to the final withdrawal deadline, a student may withdraw from a course with a W on their academic record. A record of the course will remain on the academic record with a W appearing in the grade column to indicate that the student registered and withdrew from the course.

Academic Misconduct Policy

All students are required to read, know, and comply with the Johns Hopkins University Krieger School of Arts and Sciences (KSAS) / Whiting School of Engineering (WSE) Procedures for Handling Allegations of Misconduct by Full-Time and Part-Time Graduate Students.

This policy prohibits academic misconduct, including but not limited to the following: cheating or facilitating cheating; plagiarism; reuse of assignments; unauthorized collaboration; alteration of graded assignments; and unfair competition. Course materials (old assignments, texts, or examinations, etc.) should not be shared unless authorized by the course instructor. Any questions related to this policy should be directed to EP’s academic integrity officer at ep-academic-integrity@jhu.edu.

Students with Disabilities - Accommodations and Accessibility

Johns Hopkins University values diversity and inclusion. We are committed to providing welcoming, equitable, and accessible educational experiences for all students. Students with disabilities (including those with psychological conditions, medical conditions and temporary disabilities) can request accommodations for this course by providing an Accommodation Letter issued by Student Disability Services (SDS). Please request accommodations for this course as early as possible to provide time for effective communication and arrangements.

For further information or to start the process of requesting accommodations, please contact Student Disability Services at Engineering for Professionals, ep-disability-svcs@jhu.edu.

Student Conduct Code

The fundamental purpose of the JHU regulation of student conduct is to promote and to protect the health, safety, welfare, property, and rights of all members of the University community as well as to promote the orderly operation of the University and to safeguard its property and facilities. As members of the University community, students accept certain responsibilities which support the educational mission and create an environment in which all students are afforded the same opportunity to succeed academically. 

For a full description of the code please visit the following website: https://studentaffairs.jhu.edu/policies-guidelines/student-code/

Classroom Climate

JHU is committed to creating a classroom environment that values the diversity of experiences and perspectives that all students bring. Everyone has the right to be treated with dignity and respect. Fostering an inclusive climate is important. Research and experience show that students who interact with peers who are different from themselves learn new things and experience tangible educational outcomes. At no time in this learning process should someone be singled out or treated unequally on the basis of any seen or unseen part of their identity. 
If you have concerns in this course about harassment, discrimination, or any unequal treatment, or if you seek accommodations or resources, please reach out to the course instructor directly. Reporting will never impact your course grade. You may also share concerns with your program chair, the Assistant Dean for Diversity and Inclusion, or the Office of Institutional Equity. In handling reports, people will protect your privacy as much as possible, but faculty and staff are required to officially report information for some cases (e.g. sexual harassment).

Course Auditing

When a student enrolls in an EP course with “audit” status, the student must reach an understanding with the instructor as to what is required to earn the “audit.” If the student does not meet those expectations, the instructor must notify the EP Registration Team [EP-Registration@exchange.johnshopkins.edu] in order for the student to be retroactively dropped or withdrawn from the course (depending on when the "audit" was requested and in accordance with EP registration deadlines). All lecture content will remain accessible to auditing students, but access to all other course material is left to the discretion of the instructor.