Load Forecasting in Smart Grid Power Systems - Course Outline
DAY ONE (6 hour course)
LOAD FORECASTING METHODOLOGIES and DEMAND SIDE MANAGEMENT
1. Introduction:
- Historical Evolution of the Electrical Power Systems
- Performance Requirements: Power System Controls
- Active Power and Reactive Power Control in RENEWABLES and DER
- Regulatory Frameork in North America and Europe: NERC, ENTSO
- Control Operator-ISO, Dispatcher: Reliability, Adequacy, Security limits, Operating States
- Power System Control Actions: Voltage Reduction, Load Shedding
- Abnormal frequency, restoration plans
2. LOAD DEMAND PATTERNS
- Short Term Load Forecasting Models: Operating Time Frame
- Long Term Load Forecasting: Planning Time Frame
- Load Forecast Uncertainty, MAPE Index
- Best business practices
- Weather Normal load forecasting
3. METHODOLOGY for SHORT TERM LOAD FORECAST
ARTIFICIAL INTELLIGENCE
- AI and Artificial Neural Networks- ANN
- AI and ANN Applications in Power Systems:
- Machine Learning
- Autoregressive integrated moving average
- Method (ARIMA) Discuss outliers
- Density‐based clustering techniques
Support vector regression techniques
- MAPE - improved methodology
- Training the algorithm for Short Term Load Forecast and Solar Energy Forecasts
- Volumetric Risk: Weather Response
- Weather Normal Load Database
- Industry methods: ITRON
4. METHODOLOGY for LONG TERM LOAD FORECASTING: ECONOMETRIC MODELS
- Assumptions
- Key Drivers
- Customer Classes and sectors
- Customer Delivery Point Forecast
- Macroeconomics: GDP Forecast, Population Growth
- Conservation and Demand Management Forecast
- Weather Correction Analysis
- Annual Econometric Model
- Monthly Econometric Model
- Methodology for Customer Forecast
5. DEMAND SIDE MANAGEMENT and the PHYSICAL SYSTEM
- Load Frequency Control
- Load Pricing Control
- Load Shedding
6. SMART METER ECOSYSTEM
- Utility data analytics industry ecosystem
- Smart meters and advanced metering infrastructure (AMI)
- Advanced grid controls and sensors
- Accessible energy data for end-use demand response
7. ENERGY STORAGE and DEMAND SIDE MANAGEMENT
- State of the art in energy storage
- Electrical Vehicles: Impact on LOAD Profile and Demand Side Management Programs
8. MARKET ECONOMICS: Examples from Canada, Europe, USA
- Example : Design of an Electricity Market
- Real Time Market
- Economic Dispatch: Constrained and Unconstrained Dispatch
DAY TWO (6 hour course)
SMART GRID
9. INTEGRATION OF SMART GRIDS with a MODERN DISTRIBUTION UTILITY
- Communication Requirements
- Relief to Distribution UtilitiesSystems Interface Architecture
- Impact of Plug-In Electric Vehicle Charging Infrastructure on the LOAD PROFILE
10. SMART GRID STRATEGY
- Automation and Control
- Grid and a Transactive Operation
- Societal Benefits of the Smart Grid
- ADVANCED SMART GRID APPLICATIONS: Components of Smart Enabling Demand Response, storage and DER
TRANSACTIVE ENERGY
11. The Big Picture- Vision 2030
- TRANSACTIVE ENERGY - THE PROSUMER
- P2P Energy Trading
- Distributed Energy Resources and Communication Requirements
- Collaboration between Market Entities and Government Agencies
- Cloud Services for Utilities – NAESB for GREEN BUTTON and ORANGE BUTTON
12. IOT – Internet of Things
- A brief look into Interoperability
- Most utilized IOTs
- IOE- Internet of Everything
- Role of the IED
13. INTERNET OF THINGS WORLD FORUM REFERENCE MODEL
- How it impacts the Conservation and Demand Response Programs-The Power of Virtual Devices
- SMART DEVICES
- THE SMART HOME OF THE FUTURE: Telecom, Energy, Health/ The HOME as an ENTREPRISE
- THE SMART CITY
14. BLOCKCHAIN
- Security Certification ; Vulnerability
- Blockchain Applications in the Power Industry-
- P2P Trading
- Trading Renewable Certificates
COURSE SCHEDULE:
Both days:
Start: 10 a.m. Eastern Time
Finish: 4:30 p.m. Eastern Time
