Event Schedule
Tuesday, June 13 2023
PLEXOS Fundamentals Track
PLEXOS Integrated Planning Horizons & Chronology
PLEXOS offers the capability to integrate and simulate different planning horizons as follows: Long Term Planning (10-50+ years), Reliability & System Adequacy (1-5 years), Medium Term Schedule (1-10 years), Short Term Schedule (1 day - 1 year). In this session, there will be a detailed overview of the model settings, chronologies, phases & results for each planning horizon.
Trainers
PLEXOS Advanced Track
Markets, Financial Contracts & Bid-Based Modeling
The de-regulation of the energy markets and the technological breakthroughs in the energy transition bring many more stakeholders in the energy markets. Many companies have moved to a deregulated market structure where different players can freely participate in the markets. PLEXOS provides options to model and simulate the energy market behavior and offers the functionality to maximize the company's portfolio profits, or provide a market clearing engine as well as balancing optimization approach to the market operators.
Trainers
Aurora Track
Aurora on PLEXOS Cloud & "What's New in Aurora 15"
Aurora on PLEXOS Cloud offers a unifying platform that supports Aurora simulations in the PLEXOS Cloud. This platform offers the ability to migrate Aurora data into the PLEXOS format for use in PLEXOS simulations such as nodal analysis, transmission expansion, hydro studies, etc. The PLEXOS Cloud provides client's with fexibility, scalability, advanced visualization & advanced reporting capabilities. In this session, the features & functionality of "Aurora on PLEXOS Cloud" will be presented and discussed.
Trainer
PLEXOS Fundamentals Track
PLEXOS Modeling Uncertainty for Renewables & Batteries
The increased penetration of Renewables brings uncertainties into the system. Often, batteries (BESS) or other energy storage systems are required to guarantee uninterrupted supply from these types for intermittent resources. In this session, we will have practical examples using Monte Carlo sampling and Stochastic optimization to apply uncertainty to the simulation.
Trainers
PLEXOS Advanced Track
PLEXOS Balancing Markets
This training will discuss the PLEXOS options available to model ancillary services, regulation and reserve and market design. It will cover Markets, Contracts, Reserves and Bid-based modeling.
Key Takeaways include:
- Ancillary services, regulation and reserve products
- Co-optimization of energy and ancillary services
- Renewable energy, H2 storage and distributed energy resources provision of ancillary services, regulation and reserve products
- How to link Day-ahead to Balancing-Mechanism runs in PLEXOS
- Setting up generator bids and offers in PLEXOS in the Balancing Market(s)
- Energy Balancing
Trainers
Aurora Fundamentals Track
"Getting Started" using Aurora
In this session, participants will setup a project file, manage data, run a simulation, and review results.
Trainers
Aurora Advanced Track
Aurora Modeling Resource Adequacy & Reliability
With the addition of Renewable energy into the system, the Resource Adequacy & System Reliability are essential metrics in modeling system expansion & operation. In this session, we will walk through the options available to meet and report Resource Adequacy & Reliability requirements using Aurora.
Trainers
PLEXOS Track
What's New in PLEXOS Cloud and BI Analytics
PLEXOS Cloud is powerful cloud-based solution designed to extend the value of PLEXOS desktop with scalable compute, powerful visualizations, a native Excel integration for data editing and analysis, and flexible BI dashboards. Together PLEXOS and PLEXOS Cloud can provide new insights into your model results. In this session, members from Energy Exemplar's product team will provide an overview of the capabilities of PLEXOS Cloud and attendees can get hands on with the tool to analyze simulation output.
Trainers
Aurora Fundamentals Track
Modeling Resources in Aurora
This session is designed to build on the "Getting Started" exercise. We will focus on modeling resources such as Commitment, Must Run, Renewables, Batteries, Hydro, Conservation, Load Control, PPA Contracts, Sale Contracts. Participants will build working examples of resource types and review of corresponding results.
Trainers
Aurora Advanced Track
Aurora Modeling Batteries, Renewables & Uncertainty
In this session, you will learn to model batteries, renewable resources and batteries plus renewables. There will be detailed examples of the options available to model uncertainty in renewable resources. We will also review the results using different types of uncertainty applied to renewable resources.
Trainers
PLEXOS Fundamentals Track
RTC Renewables, Storage, PPA/Energy Import
With increased Renewables in the system, companies need to provide Round-the-Clock (RTC) uninterrupted power in keeping with contractual obligations. Companies need to assess and mitigate the risk of PPA contracts or other types of contracts to meet load. In this session, there will be detailed examples of meeting RTC with different types of contracts. In addition, the corresponding risk associated with each contract type will be reviewed.
Trainers
PLEXOS Advanced Track
PLEXOS Gas, Power2X, Hydrogen Modeling
PLEXOS offers functionality to capture the different commodities and their infrastructure and processes in a single modeling approach. In this session, detailed examples of modeling Gas and Hydrogen systems in both long-term planning and short-term operations conditions.
Trainers
Aurora Fundamentals Track
Aurora Long-term Capacity Expansion & Constraints
This session is will provide an overview of the Long-Term Capacity Expansion logic, settings and results. We will review the options and setup for the standard Constraint types available in Aurora. Participants will build working examples of selected constraint types and review of corresponding results.
Trainers
Aurora Advanced Track
Aurora Portfolio Analysis & Optimization
Aurora can perform portfolio optimization using a risk-reward framework and a linear optimization model. Use this capability to lay out the mathematical framework under which the optimization operates. The goal of the optimization is to calculate a user-defined number of optimal portfolios. Portfolios with the highest reward and lowest risk, given the constraints of the portfolio and its acquirable resources, are reported on an efficient frontier format.
Trainers
PLEXOS Track
Modeling Energy Scenarios with PLEXOS Cloud
This presentation will discuss market analytic uses cases using Energy Exemplar nodal and zonal datasets and energy market scenarios to examine Renewable Energy growth, Congestion Analysis and Market Scenarios. The presentation will appeal to market analysts who are modeling scenario impacts on zonal and nodal markets using PLEXOS Cloud and BI Analytics.
Trainer
