This course is relevant for postgraduate students of Power Engineering and final year undergraduate students of Electrical Engineering. After completion of this course, a student will be aware of the various aspects and tools used in operation and planning of power systems.
Pre-requisites: Power flow analysis, basics of optimization, linear algebra, convexity
This course shall be tentatively covered in the following 7 modules:
- Introduction and linkages between various operational, control and planning problems in power systems
- Mathematical optimization techniques - basics of calculus, global and local optima, convexity, classical first-order gradient technique, second-order gradient approach - Newton's approach, Linear Programming (LP) - upper bound dual LP, Interior point method, Gomory's cutting plane method for all integer LP, Benders decomposition - dynamic dual problem for mixed-integer linear and nonlinear programming problem
- Economic Dispatch - LP application
- Optimal power flow - LP application, Interior point application, second-order conic programming
- Day Ahead Unit commitment - dynamic programming
- Automatic generation and voltage control
- Power system planning in the presence of renewable energy resources - Benders decomposition application
Postgraduate students of Power Engineering and final year undergraduate students of Electrical Engineering
Outcomes of this Course
After completion of this course, a student will be aware of the various aspects and tools used in operation and planning of power systems.