This course is one in a series of several courses developed to address the evolving forces that will alter the fundamental operating characteristics of the electric grid, transforming it from a one-way central supply structure to one that has bidirectional power flows resulting from distributed energy resources (DER). Large numbers of self-generating consumers will alter the design requirements for the electric distribution system. New analytics techniques will be required to analyze, plan and operate the new grid. This 3-day course focuses on applications of big data analytics on smart electric power distribution systems and the use of Large Scale (Big) Data Analytical methods and their application to electric distribution system analysis and design. The basics of big data analytics and the electric power distribution system will be introduced. Four data-driven applications in electric power distribution systems will be studied closely. These include:
The course is intended for anyone interested in understanding how predictive analytics can be applied to electric power distribution systems. Students will include utility engineers and technicians, business & strategy staff, regulatory compliance staff, legal staff, and possibly regulators. Previous technical training is helpful but not necessary.
Topic 1: Brief Introduction of Data-Driven Analytics in Smart Electric Power Distribution Systems
Topic 2: Singular Value Decomposition (SVD)
Topic 3: Data-driven Application One: Distribution System Topology Identification
Topic 4 Data-driven Application Two: Electricity Theft Detection
Topic 5 Data-driven Application Three: Evaluating the effectiveness of CVR
Topic 6: Demand Response Forecast
Delegates who attend and complete the course would be issued a Certificate of Completion by Camaval International.
For further enquires kindly contactCourse Coordinator via email email@example.com