EEE 598 Demand Response and Renewables Integration
Instructor: Prof. Anna Scaglione, ECE
This course aim is introducing how power, economic and
information/computations flows support our current energy
infrastructure and highlight the path towards new models to increase
the penetration of renewable power and lower the need for fossil fuels.
Prerequisites: The course is self-contained but it would be helpful to
have background on Fourier Transforms and Linear Systems and
Probability and Statistics. No prior knowledge on power systems is
required.
Syllabus
 Preliminaries
o Overview of the course
 Demand for power
 Options for power generation and delivery
 Electrical Power Transmission and Distribution Systems
o Review of basic systems theory
 Linear systems, solutions of ODEs in the Fourier and
Laplace domain
 Lumped models for Circuits
o Principles of electrical power transfer

Voltage, Current and transmission lines
 Two ports models
o AC signals complex representation/phasors
o Power flow equations
o Congestion constraints
 Energy Management Systems Models
o Data: Monitoring of electrical power systems

SCADA, WAMS, AMI networks and HEMS
 State estimation
o Optimization and control: Optimal Power Flow
 AC and DC models
 Renewable Generation
o Models and forecasting techniques
 Solar Power
 Wind Power
 Forecasting of random processes
 Solar forecasting
 Wind forecasting
 Open problems
 Demand response modeling
o Aggregate demand models
o Controllable demand models
o Electric storage
 Energy Market and Demand Response
o Economic Dispatch of Electrical Power, Unit Commitment
 The Whole Sale Market of Electricity
 Day ahead, real time
 Ancillary services
o Demand Response programs
 Load control models via direct control
 Load control models via dynamic pricing

Discussion on open problems