Keith Moffat

Power Systems Basics

I have given this presentation on power systems basics and wrote this power systems background document for general audiences.

The presentation works its way through the figure below, which gives an overview of power systems research and demonstrates the range of timescales relevant for power systems — over 10 orders of magnitude.

Participation in Government Rulemaking

I participated in the California Public Utility Commission (CPUC) Energy Division's workshop on advanced demand flexibility management and DER compensation on 7.21.22.

I offered the following comment on the CPUC's R2207005 ratesetting proceeding, ‘‘Order Instituting Rulemaking to Advance Demand Flexibility Through Electric Rates,’’ and the corresponding extended comment on R2207005 on 8.15.22.

Similar legislation has been introduced in other states and countries. This legislation is a step towards flexible electric grids and an affordable transition to renewable energy.

UC Berkeley's IEEE Power and Energy Chapter

As the 2021 Program Director I have organized and hosted the Spring and Fall Seminar Series, welcoming leaders in the fields of power systems and power electronics.

Cool power systems resources

Electricity Maps

PG&E's Interconnection Capacity Analysis Map (requires a free account)

The FNET/GridEye Web Display

Map of voltage angles in the Eastern Interconnect:

Video the effect of a generator tripping in Florida on the Eastern Interconnect:

List of Courses taken at UC Berkeley

Fall 2016

EE 137A: Introduction to Electric Power Systems
ME C231A: Experiential Advanced Control Design
EE 221A: Linear System Theory

Spring 2017

EE 137B: Introduction to Electric Power Systems
EE 222: Nonlinear Systems–Analysis, Stability and Control
IEOR 258: Control and Optimization for Power Systems

Fall 2017

CS 289A: Introduction to Machine Learning
EE 290N: Advanced Topics in Electrical Engineering: Networks of Dissipative Systems
IEOR 290: Societal-Scale Cyber-Physical Systems: Machine Learning and the Internet of Things

Spring 2018

EE C291E: Hybrid Systems and Intelligent Control
ME 233: Advanced Control Systems II (Adaptive Control)

Fall 2018

CS 294-112: Deep Reinforcement Learning
EE 227BT: Convex Optimization (relaxations and distributionally-robust optimization)

Spring 2019

EE C227C: Convex Optimization and Approximation (algorithms)
EE 290O: Advanced Topics in Electrical Engineering: Control of Low Inertia Grids
MBA 212: Energy and Environmental Markets

Fall 2019

ELENG 375: Teaching Techniques for Electrical Engineering

Spring 2020

CS294-158: Deep Unsupervised Learning