EE7074 ADVANCED TOPICS IN POWER SYSTEM STATE ESTIMATION
| Course Code: | 5677074 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Electrical and Electronics Engineering |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Prof.Dr. MURAT GÖL |
| Offered Semester: | Fall Semesters. |
Course Objectives
Course objective 1: Students will comprehend contemporary problems and challenges in power system state estimation (PSSE) due to changing equipment and needs of the system operators.
Student Learning Outcomes:
Learn the challenges in PSSE in modern era Learn the reasons of the need for advanced PSSE techniques
Course objective 2: Students will be able to apply advanced PSSE techniques.
Student Learning Outcomes:
Learn robust PSSE methods Learn hybrid PSSE methods Learn power system dynamic state estimation methods Learn distributed PSSE methods
Course objective 4: Students will be able to improve measurement configuration for improved PSSE performance.
Student Learning Outcomes:
Learn measurement placement methods for conventional measurements Learn measurement placement methods for PMUs Learn PMU placement methods for state estimation robustness
Course Content
Application of estimation theory in power system real time monitoring. Definitions of robustness, breakdown points, outliers, leverage points, and their physical reflections in practical systems. Mestimatiors for power system state estimation. Least absolute value estimator. Cyber security concept in power systems. Phasor Measurement Units (PMUs). Hybrid power system state estimation. Distributed state estimation for power systems. Definitions of dynamic states of power systems. Dynamic power system state estimation. Observability restoration in power systems. Optimal measurement placement in power systems.