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BESS & Pump Storage and Hydro Assets Trading Optimization Solutions

  • Storage trading optimization: charging / pumping-up decisions vs discharging / generating.
  • Optimal storage & hydro asset trading strategies to maximize valuation for investment.
  • Optimal storage & hydro asset trading in intraday and DA trading to maximize the P&L.
  • Trade automation, scheduling, and intraday & post-trade trading performance analysis.
  • Seamless integration of QR AI Forecaster for renewable load and price forecasts.
Contact us to explore a free POC trial.

QR Trading Optimizer offers ready-for-use advanced BESS, pump storage and hydro assets trading optimization solutions for intraday & day-ahead trading. Maximize trading P&L and asset valuation.


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

The accelerated growth of both green energy retailers, and solar and wind generation, and the volatile nature of their outputs, are emphasizing the need for power stabilization through battery and hydro pump storage solutions. Some key challenges are:

  • Integration of optimal trading of storage assets with renewable energy resources to guarantee a smooth and continuous electricity flow in the absence of the renewable generation.
  • Maximize the trading P&L, or the value of a storage asset by determining the high-price periods and the optimal quantities to discharge and generate, versus the low-price periods and the energy quantities to fill/charge the storage, together with their corresponding bid prices.
  • Dynamically tap into storage assets to shave peak load in order to alleviate sudden demand spikes, with the objective to lower energy cost.
  • Optimize Energy Demand Response (EDR) programs by shifting demand to minimize energy costs. Without changing their consumption behavior, consumers are offered the flexibility to reduce their local grid consumption at high price periods, by switching to battery storage.
  • Optimize the key decision to bid the storage in DA energy or reserve market versus the intraday sport market of tomorrow.

Client Profile- Thermal Power Generation

Explore QR Power Storage & Hydro Asset Optimization

Hydro Generation​

Hydro Generation

Bidding & Generation Optimization



Bidding & Trading Optimization

Hydro Pump Storage

Hydro Pump Storage

Bidding & Generation Optimization

QR Trading Optimization Features

  • Intraday & DA optimal bidding & trading strategies in 5-60 mins resolution along with expected clearing dispatch, prices & P&L.
  • New revised optimal trading strategies are executed every 10 mins, 24/7 for intraday trading, and 9:00 for DA.
  • Advanced trading optimization algorithms extract the fullest advantage from arbitrage and market opportunities in volatile electricity markets, and the constraints of your assets, leading to sizable increases in P&L or asset valuation.
  • Trading optimization algorithms for generation assets (thermal, hydro, BESS), and trading or sourcing portfolios.
  • Automated trading with interfaces for trade (bid) submission to electricity market operators and exchanges via API.
  • Real-time & post-trade detailed performance analysis comparing the actual and optimal trading scenarios: dispatch, fuel, costs, revenue and P&L.
Battery and hydro pump storage assets operate and trade in different settings. E.g., the storage can be embedded with solar or wind generation and use part of their generation to refill/charge. Alternatively, the storage asset can be independent from any renewable resource and can only refill/charge by buying and using electricity from the market.
QR Trading Optimization for Hydro and Storage Assets covers all above operational scenarios and uses our price forecasts and all operational constraints of the storage or hydro asset to compute the following outputs:

For every 5 - 60 min trading interval, we compute the MW quantity of fill up/charge and store, versus release/discharge and generate with the objective to maximize the total daily P&L of the storage. This is performed from several perspectives: in current intraday and DA trading, as well as the decision to participate in the DA market versus the spot market of tomorrow.

For every optimal trading decision listed above, we compute the appropriate optimal bidding strategy with the highest likelihood to achieve the expected maximum P&L.

Execution for intraday real-time trading is every 15 minutes, 24/7. For DA trading execution is a few times a day.

Power Storage & hydro Advanced Ecosystem

  • Microservice architecture enables accelerated custom configuration of generation & bidding trading optimization solutions for BESS and hydro assets.
  • API-friendly ecosystem allows flexible integration and data exchange with third party & in-house systems. Functionalities are constantly enhanced and extended to meet clients requirements.
Contact us to explore a free POC trial.

QR Power Storage & hydro asset
Optimization Solution

Hydro Generation Trading Optimization Model

The model incorporates the following parameters and constraints:
  • Nominal dam reservoir capacity.
  • Generation min-max or target quantity for: 5-60 minute intervals, daily and monthly.
  • Nominal generation capacity (MW).
  • Conversion rate of water volume to electricity MWh during generation.
  • Electricity generation ramp rate.
QR Hydro Generation Trading Optimizer

Battery Energy Storage System (BESS) Trading Optimization Model

The model incorporates the following parameters and constraints:
  • State of Charge (SOC): Percentage of the storage nominal capacity that can be actually charged, e.g., 95%.
  • Depth of Discharge (DOD): Percentage of power that can be withdrawn from the battery, e.g., 80%.
  • Daily Depth of Discharge: Maximum amount of energy that can be extracted from the battery in a 24 hours period.
  • Charging and Discharging Rate: The quantity (in Amps) of charge added (resp discharge withdrawn) to or from the battery per unit of time.
  • Number of series (arrays) of cells. Number of parallel arrays. Nominal cell voltage.
  • Cost of charge and discharge per MW.
QR BESS Trading Optimizer

Hydro Pump Storage Trading Optimization Model

The model incorporates the following parameters and constraints:
  • Running state constraints: The asset can operate in just one mode at any trading interval, either release water and generate power, or pump water and fill up the reservoir.
  • Generation min-max or target quantity for: 5-60 minute intervals, daily and monthly.
  • Water pump-up min-max or target quantity for: 5-60 minute intervals, daily and monthly.
  • Reservoir capacity constraints: min, max volume capacity of reservoir.
  • Nominal generation capacity (MW).
  • Nominal pump capacity (MW).
  • Conversion rate of water volume to electricity MWh during generation.
  • Conversion rate of electricity MWh to water volume during pumping.
  • Electricity generation ramp rate.
  • Water pump-up ramp rate.
QR Hydro Generation Trading Optimizer

QR Power Storage & hydro asset Optimization Benefits

  • We offer flexible delivery options:
    • Trading Optimization as a Service where our expert algo-trading team and our cloud platform do everything, and you receive, via API and in web-dashboards, intraday and DA bidding and generating signals every 15 minutes, 24/7.
    • Trading Optimization Software as a Service (SaaS) where we implement QR Bidding Optimizer on a private cloud instance (from us, or you’re choosing), or on-site, and you control the data and the optimization models, with the assistance of our expert algo-trading team.
  • You pay one single annual subscription fee comprising license, maintenance and upgrade releases.
  • QR Optimizer increases trading P&L, or asset valuation, by 20 to 30%. In no case, this solution will cost you anything. It is a source of revenue and can make 10x its cost, as extra profit it generates.
  • Our expert (MSc and PhD) algo-trading optimization team will configure and fine-tunes the best optimization model for your assets and maintain and enhance them in time.
  • QR Bidding & Scheduler  is seamlessly integrated with the optimizer to allow optimal bid modification, validation and electronic submission to the ISO or power exchange, for intraday and day-ahead trading for energy and reserves.
  • QR Trading Performance Analysis provides detailed real-time and post-trade trading analysis dashboard comparing 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.


  • You can always start with a POC Trial where we back-test some of your trades against the optimal scenarios, and deduce how much QR Trading Optimizer can improve your P&L.
  • License what you need. You can license each component separately, depending on your needs, e.g., price forecasting, bidding & trading optimization, back-office settlement & billing or risk management.
  • Two flexible delivery options:
    • Trading Optimization as a Service. Our cloud platform and expert team do everything, and you receive, via API and in web dashboards, the desired outputs, e.g., price forecasts, optimal bidding & trading schedules every 10 minutes, 24/7. No software installation, hardware and IT resources are needed.
    • Software as a Service (SaaS) where we implement the system on a private cloud of your choosing, or on-site, and you control the data and the models.
  • Ready-to use platform. We offer a large number of especially designed algorithms and models for bidding gas, coal and diesel power plants. These can be used on your assets and markets with minor configuration.
  • Cost-effective pricing. Whether you use QR Trading Optimizer as a service or as SaaS, you pay one single annual subscription fee. The fee comprises the license, maintenance and upgrade releases. In no case will this solution cost anything, it can generate profits worth 10x its license cost.
  • P&L enhancement. QR Trading Optimizer considerably improves the trading P&L, or asset valuation.
    • Maximize profit from bidding, generation and selling in a power market or ISO. Maximize profit from bidding into reserve markets versus selling in the spot market.
    • Minimize plants ware and tear.
  • Expert team. In-house trading optimization models require extensive expert resources. Models are sensitive to myriads of constraints in assets & operations. QR Trading Optimizer was created as a universal optimization platform that could be configured for various operations. Our team of mathematician PhD experts closely work with clients to customize and maintain the optimization model that suits their asset portfolio.

Trading Optimization Case Studies & Video Demos

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Let's 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.