DR and DER Dispatch Optimization
Solutions
- Real-time intraday & day-ahead DR & DER portfolio allocation optimization
- Optimize generation revenue by including DER resources
- Minimize energy procurement cost by dynamically adjusting for DR and DER
- Trade automation, scheduling, and intraday & post-trade performance analysis
- Seamless integration of QR AI Forecaster for load and price forecasting
DR and DER Dispatch Optimization Solutions
- Real-time intraday & day-ahead DR & DER portfolio allocation optimization
- Optimize generation revenue by including DER resources
- Minimize energy procurement cost by dynamically adjusting for DR and DER
- Trade automation, scheduling, and intraday & post-trade performance analysis
- Seamless integration of QR AI Forecaster for load and price forecasting
Minimize energy cost while enhancing supply side and grid stability by optimizing DR & DER resources and assets
Challenges
Clients’ profile. Utilities, electric cooperatives, munis and energy retail marketers operating in a smart grid ecosystem face an increasingly complex power procurement portfolio composed of physical PPA and bilateral contracts, callable contracts, generation, Demand Response (DR) and Distributed Energy Resources (DER), with or without a buy-sell possibility in real-time intraday and day-ahead (5-60 minutes) spot markets.
Target. Minimize total energy procurement cost by dynamically adjusting, for every period, buying across bilateral procurement contracts, DR and DER resources, along with a possible buy-sell in the spot market if any, while meeting demand, contractual and regulatory constraints.
Implement real-time 24/7 automation and centralization in a web-platform allowing multiple traders to login and control the management of energy sourcing, demand, SCADA, contractual constraints, DR and DER resources; and the electronic scheduling of dispatch and buy-sell orders to bilateral suppliers, DER and a spot market if any.
A fully-featured, ready-for-use, standalone cloud solution that can be easily integrated with in-house ETRMs and ISOs via flexible APIs.
Why QR DR & DER Optimizer Solution
QR DR & DER Optimizer solutions compute optimal 5-60 minutes dispatch scenarios:
The objective of QR DER optimization is to identify the optimal dispatch of solar, biomass, natural gas, hydrogen and wind turbine assets that minimize the energy procurement costs of stable and quality power for consumers, utilities and retail marketers.
The objective of QR DR optimization is to minimize energy procurement costs of utilities and retailers and their consumers’ energy rates, within a smart grid environment. Complex pricing contracts can be incorporated, e.g., Time-Of-Use (TOU), critical peak, variable peak or real-time pricing.
QR DR & DER Optimizer Benefits & Features
We offer flexible delivery options:
Optimization Service where our expert team and platform do everything and you receive, via API and electronic means, intraday and DA bidding signals every 10 minutes, 24/7.
Software as a Service (SaaS) where we implement QR Bidding Optimizer on a private cloud of your choosing, or on-site, and you control the data and the optimization models.
You pay one single annual subscription fee comprising license, maintenance and upgrade releases.
Our expert (MSc and PhD) optimization team configures, fine-tunes and deploys your optimization models in record time and helps you maintain and calibrate them in time.
QR Optimizer increases trading P&L, or lowers energy costs by 20 to 30%. In no case it will cost you anything. It is a source of revenue and can make 10x its cost, as extra profit it generates.
A user-friendly web dashboard allows the configuration of detailed complex cost formulas for each bilateral procurement contract, DR and DER resources in the portfolio, the revenue from sales in the spot market, and the net portfolio’s cost which is the optimization objective function to minimize.
QR AI Forecaster provides forecasts of demand, DR and DER generation, and the spot price for every forward trading period.
Nonlinear constraints such as level-dependent generation, ramp rates, discharge rate, heat rate, and spot price are part of the architecture of the optimizer.
The model incorporates outages, the bids of multiple partners jointly owning a plant, know-bids of other plants in the offer stack, and quantities sold in ancillary or day-ahead markets.
The model incorporates outages, maintenance, scheduling and bidding of multiple partners jointly owning an asset, and quantities sold in ancillary or day-ahead markets.
QR Trading performance analysis. Detailed real-time forecast and post-trade analysis dashboard: expected clearing dispatch, DR & DER load quantities, bilateral procurement cost, revenue from sale in the spot market, and gross margin or P&L. Actual versus optimal scenarios are computed and compared automatically per bilateral contract nodes and trading period. In one glance, traders and management can compare the different dispatch scenarios.
All output data of optimization, e.g., simulations and forecasts of demand and variable resources, optimal nominations, expected dispatch and detailed P&L are available via API for real-time integration with your internal systems.
Our Clients Say
Lets Talk About Your Needs
Our Contact Details:
