This comprehensive training program aims to support power system professionals in effectively planning and operating power systems that incorporate an increasing penetration of renewable resources and Demand Side Management (DSM) programs. The introduction of renewable generation has significant impacts on both planning and operating criteria, which are thoroughly examined in this course. Additionally, the course covers the new requirements for generation reserve margins.

The discussion also includes distributed generation and smart meter infrastructures, with a focus on commercial and residential programs. Weather volatility and its impact on demand profiles are addressed, presenting weather normalization methodologies and short- and long-term forecasting models. Demand Side Management programs involve a delicate balance between demand, supply, customer choice, and incentives. The course explores various aspects of demand-side management and provides an overview of the broader smart grid roadmaps for customers. The emergence of the Internet of Things (IoT) and the Internet of Everything (IoE) is a transformative development, particularly through the Power of Agile Virtual Devices. The course showcases how these new devices bring innovative analytics and approaches to Demand Side Management.

Course Objectives:

By completing this training course, participants will be able to:

§ Set Power System Planning Objectives

§ Gain knowledge about Load Forecasting Methodologies

§ Identify Factors affecting Load Forecasting

§ Have a good understanding of different kinds of Short Term and Long-Term Planning

§ Examine the principle of Energy supply & demand forecasting with a National and Regional perspectives

§ Assess the market conditions that affect power and energy generation, transmission and distribution

§ Understand the critical role of energy demand forecasting in the market

Who Should Attend?

This course is intended for members of utility personnel (Public & Private) Power System Sectors, Analysts, Consultants, and Others interested in learning about Energy Forecasting from qualified Experts. Those who are working as a Senior Managers & Engineers responsible for Energy Supply, Managers of Generation Plants, Transmission Operating Staff, Forecasting and Planning Engineers, Regulatory/Energy Professionals from Government Ministries as well as Power and Energy Companies

Course Outlines:

Bulk Electricity System

Generation System
Transmission System
North American Electricity Reliability Council (NERC)
STANDARDS and REQUIREMENTS

Energy Markets

Real-Time Market
Day-Ahead Market
Bilateral Contracts

Terms and Structures of Renewable Contracts
FIT in Tariffs in Canada

Physical versus Financial Transactions

Generator Offers into Market
Dispatchable Loads

Load Forecasting Methodology

Weather Forecasts
Simulation, Optimization, Sensitivity Analysis
Forecasting Methodologies and statistical techniques,
Neural-Net modeling, End-Use modeling, Metrix ND & LT)
Weather Normalization and Probability Distribution Tools

Load Demand Patterns

Short Term Load Forecasting Models: Operating Time Frame
Long Term Load Forecasting Models: Planning Time Frame
Weather Normal load forecasting

Volumetric Risk

Weather Response
Weather Derivatives
How can data be used for decision making?
What data will be needed in the future?
What data should be collected (and analyzed) now?

Long Term Planning

Reliability Criteria
Generation Reserve Margin
Loss of Load Probability
Loss of Load Expectation
Variable generation and their impact on the LOLP, LOLE
Capacity Planning

Renewable Generation
Demand Management
Case Study

Short Term Planning

Day Ahead
Real-Time
Secure Islanding of Power Plants
Operating Reserves in a System with Renewable Generation

System Controls for Power Quality for Demand

Power Electronics

Static VAR Compensators
Voltage and VAR Control
Smart Inverters

Demand Side Management and the Physical System

Load Frequency Control
Load Pricing Control & Load Shedding

Demand Side Management

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