This comprehensive training program is designed to support power system professionals in effectively planning and operating power systems that incorporate an increasing penetration of Demand Side Management (DSM) Programs and renewable resources. The integration of renewable generation significantly influences both planning and operational considerations, which are thoroughly examined. The course also addresses the new requirements for generation reserve margins.

Distributed generation and smart meter infrastructures are discussed in the context of commercial and residential programs, taking into account the various impacts and opportunities they present. The course covers weather volatility and its effects on the demand profile, presenting methodologies for weather normalization and forecasting models for both short and long terms.

Demand Side Management programs require a delicate balance between demand, supply, and customer preferences and incentives. The course explores the multifaceted aspects of demand-side management, as well as the broader smart grid roadmaps for customers. Participants will gain a comprehensive understanding of the various components involved in effective demand-side management and the larger strategies for building smarter grids.a

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
Utilize the various methodologies and technologies to meet the challenges of energy demand forecasting

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

Energy Asset Programs: Integrate technical and financial elements under a single contract agreement
Utility Service Agreement
Customer Benefits
Data Management and Analytics for Utilities
Big Data: How can Data be used for Decision Making?
Dispatchable Loads

Characteristics of Wind and Solar Power Generation

Short Term variability of a Photovoltaic Plant

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