Can you recommend battery storage software and controls for integrating storage dispatch with market bidding?

Yes — if your goal is to integrate battery dispatch with market bidding, you generally want a software stack that combines:

1. Battery EMS / controls for real-time dispatch and safety
2. Optimization / bidding software for day-ahead and real-time market participation
3. SCADA / telemetry / forecasting to keep bidding and dispatch aligned
4. Settlement and analytics to reconcile performance and revenue

Common solution categories

1) Battery EMS / plant controls

These handle low-level control, site constraints, SOC limits, charge/discharge commands, and communication with the BMS/inverters.

Examples:

• Schneider Electric EcoStruxure Microgrid Advisor / Microgrid Operation
• Fluence Nispera / Fluence Mosaic
• Wärtsilä GEMS
• SMA ennexOS
• Power Factors
• Tesla Autobidder for Tesla-integrated systems
• FlexGen HybridOS
• Stem Athena
• Dynapower / ABB / Hitachi Energy controls depending on integration partner

2) Market bidding / optimization platforms

These forecast prices, optimize bids, and schedule charge/discharge based on market rules and asset constraints.

Examples:

• Tesla Autobidder — strong for merchant batteries in some markets
• Fluence Mosaic
• Engie / originator-managed bidding platforms
• REsurety or analytics platforms for revenue optimization in some contexts
• Auction/revenue optimization modules from EMS vendors
• Custom optimization built on Python/Julia + market APIs

3) SCADA and integrations

For utility-scale projects, you often need:

• OSI PI
• Ignition
• AVEVA / Wonderware
• Seltec / ETAP / proprietary gateway layers

These help bridge market signals, telemetry, and controls.

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What to look for in the software

Must-have capabilities

• Automated bid submission
• Price forecasting
• Constraint-aware optimization
• Sub-hourly dispatch support
• SOC management
• Degradation-aware optimization
• Compliance with ISO/RTO market protocols
• Fast telemetry and command latency handling
• Fail-safe fallback modes

Important market-specific features

Depending on your market, the platform should support:

• Day-ahead and real-time markets
• Ancillary services participation
• Capacity market bidding
• Frequency regulation
• Co-optimization of energy and ancillary services
• Node-specific pricing / congestion management

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Typical architecture

A practical setup often looks like this:

Market data + forecasts → Bid optimizer → EMS / dispatch controller → BESS / PCS / BMS
and in parallel: Telemetry + metering → performance monitoring + settlement

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Vendor selection guidance

If you want an integrated turnkey approach

Look at:

• Fluence
• Wärtsilä
• Tesla Autobidder (especially in Tesla ecosystems)
• FlexGen
• Stem for specific commercial/industrial use cases

If you want more open architecture / vendor-neutral control

Look at:

• Schneider Electric
• ABB / Hitachi Energy
• Power Factors
• Custom optimization layered over SCADA/EMS

If you want to build your own bidding engine

Use:

• Forecasting: Python, PyTorch, XGBoost, statsmodels
• Optimization: Pyomo, Gurobi, CPLEX
• Integration: REST APIs, MQTT, OPC UA, ICCP, market gateway APIs
• Controls: SCADA + EMS with secure command layer

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My practical recommendation

If you’re buying for a utility-scale or front-of-meter project, shortlist vendors based on:

• Does it already integrate with your inverter/PCS/BMS stack?
• Does it support the specific ISO/RTO or bilateral market you’re in?
• Can it optimize across energy + ancillary services + degradation?
• What is the latency from bid update to dispatch execution?
• Can you audit bid logic and override it manually?
• Does it provide revenue/settlement reporting?

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If you want, I can narrow this down

If you tell me:

1. Country/market you’re in
2. Project size and whether it’s front-of-meter or behind-the-meter
3. Whether you need day-ahead, real-time, ancillary services, or all three
4. Your battery/inverter vendor

…I can give you a much more specific shortlist of software options and an architecture recommendation.