Power Energy Storage Trading Optimization Software Solution

Battery & Pump Storage Power Trading Optimization Solutions

  • Power storage trading optimization of buying & charging decisions vs discharging & selling
  • Optimal trading strategies to maximize a power storage valuation for investment
  • Optimize reserves vs energy bidding decision in day-ahead and intraday markets
  • Trade automation, scheduling, and intraday and post-trade performance analysis
  • Seamless integration of QR AI Forecaster  for load and price forecasts
Power Energy Storage Trading Optimization Software Solution

Battery & Pump Storage Power Trading Optimization Solutions

  • Power storage trading optimization of buying & charging decisions vs discharging & selling
  • Optimal trading strategies to maximize a power storage valuation for investment
  • Optimize reserves vs energy bidding decision in day-ahead and intraday markets
  • Trade automation, scheduling, and intraday and post-trade performance analysis
  • Seamless integration of QR AI Forecaster  for load and price forecasts
QR Trading Optimizer offers ready-for-use advanced power storage trading optimization solutions for intraday & day-ahead trading. Maximize trading P&L and asset valuation

Challenges

Clients’ profile. Traders, and portfolio & asset managers of battery or pump storage generators belonging to investment firms, utilities and power generating companies.

Target. Create optimal trading strategies that maximize the profit of a storage asset in active trading, or maximize its fair valuation for investment purposes. Optimize the key decision of participating in DA reserve markets versus bidding in DA or intraday energy market. Optimize buy-and-charge power versus discharge-and-sell decisions across a 24 hour window.

A full-featured, ready-for-use cloud trading solution together with a team of experts to create and maintain cutting-edge trading strategies as markets evolve.

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Why QR Power Storage Optimization Solution

The solution maximizes the net profit of the asset by computing the optimal path (timing and quantities) across 4 scenarios: buying power and charging the storage, discharging and selling power in intraday or DA spot market, participating in DA reserve markets. This optimal path maximizes the net profit from operating the asset across each 24 hr forward period. In ISO and RTO markets, the solution computes the bids that have the highest likelihood to achieve the above optimal path, and the resulting expected RTD and MQ for the asset and the spot market price.

The optimal bids and buy-sell schedules are computed at the granularity of the market, 5, 15, 30 or 60 minutes.

This 24/7 automated trading bot runs at each trading period with a runtime of just a few minutes each round.

How it works. The system fetches all necessary data. QR AI Forecaster computes accurate AI forecasts of price, load (demand, supply, etc.), and the stack of bids & offers for energy and reserves. The optimizer uses these forecasts to compute the above optimal path along with the expected cleared RTD of the optimal strategy, and its P&L. The cycle is automated and runs every 10-15 minutes to produce new signals, 24/7.

QR Power Storage Optimization 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 storage trading optimization models in record time and helps you maintain and calibrate them in time.

The model can be configured for battery or pump storage generators. An user-friendly web dashboard allows the configuration of a custom storage optimization model by its technical parameters, and physical characteristics as nonlinear constraints, such as level dependent duration and efficiency rate for charging and discharging or releasing to generate energy. Detailed cash flow modeling capability for the cost per running hour and MW generated, revenue, and gross margin of the asset, which is the optimization objective function. The revenue can be both for participation in the reserve and energy market.

QR Optimizer increases trading P&L, or asset valuation 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.

QR Bidding & Scheduler is seamlessly integrated with the optimizer to allow optimal bid modification, validation and electronic submission to the ISO or power exchange, in intraday and day-ahead trading for energy and reserves.

QR Trading Performance Analysis. Detailed real-time and post-trade trading analysis dashboard compares the gross margin or P&L of the actual versus optimal scenarios: expected clearing dispatch and meter quantity resulting from the bids, and the corresponding generation cost and revenue from sale in the spot market.

QR AI Forecaster is seamlessly integrated to provide forecasts of system demand, spot price, and the offer stack for each forward trading period, while applying adjustments for outages, available capacity, holidays, quantities sold in the ancillary and DA markets.

The model incorporates outages, maintenance, scheduling and bidding from multiple partners jointly owning a plant, and quantities sold in ancillary or day-ahead markets.

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Our Clients Say

The Current President of WEVECA and GM of the co-op ANTECO, Mr. Ludivico Lim said: QuantRisk team worked closely with our trading team to listen to our concerns and the particular complexities of our load contracts and managed to very efficiently enter them in their optimization model. No face to face meeting was required. We did it all via email and phone conferences. We can see in one single trading panel, the optimal load we need to allocate to each bilateral contract, how much to buy from or sell to the market. We are very pleased with the outcome. QuantRisk solutions optimize our energy cost about PHP 473 /MWh, or US$ 10 /MWh, within our current day-ahead nomination practice.
General Manager of an Electric Cooperative

Lets Talk About Your Needs

We look forward to exploring the range of options for your projects. Please write to us and one of our project managers will get back to you at once.
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