Market Monitor for co-located Batteries (MMb)

Overview

Market Monitor for Generators with Co-located BESS extends the basic Market Monitor by incorporating battery telemetry and control intelligence. When curtailment cannot be solved by DCM, it can often be monetized by charging a battery with otherwise-lost energy.

This solution not only quantifies revenue losses from curtailment, but also provides predictive charge/discharge guidance to help generators with co-located storage assets prepare for day-ahead market bidding. It enables charging when prices are high but curtailment is still present (i.e., “free energy”) and discharging during market opportunities, effectively turning a lost opportunity into value.

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Required Inputs

Real-Time Input Attributes

For the generator

Attribute	Description	Required?	Example
active_power	Generator's injected power (in MW)	Yes	43.2
available_active_power	Generator's available power (in MW)	Yes	58.7

For the BESS

Attribute	Description	Required?	Example
active_power	Battery’s real-time injected or absorbed power (in MW)	Yes	-5.3
reactive_power	Real-time reactive power from battery (in MVAR)	Yes	1.2
state_of_charge	Battery state of charge (0–100%)	Yes	78.4

Metadata Requirements

For the generator

Metadata	Description	Required?	Example
technology_type	Wind, Solar, Hydro, etc	Yes	"wind"
installed_power	Size of the power plant in MW	Yes	222

For the bus

Metadata	Description	Required?	Example
node_id	Key of the node in the market where the generator is located	Yes	"BR5LKT4"
nominal_voltage	Substation voltage	Yes	120

For the BESS

Attribute	Description	Required?	Example
capacity	BESS size (in MW)	Yes	43.2
charge_speed	How many MW can charge per hour (in MWh)	Yes	7.7
discharge_speed	How many MW can discharge per hour (in MWh)	Yes	6.2
cycles_per_market	How many full charge and discharge cycles can do per day / market window	Yes	3
market_init	At wich hour of the day the market starts	Yes	9 (meaining 9am)

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Features

• All features of Market Monitor for Generators

• State of charge (SOC) prediction over 48 hours

• Two-day charge/discharge recommendation to inform day-ahead bidding

• Real-time and historical battery usage visualization

• Simulated dispatch of charging behavior under curtailment scenarios

• Opportunity analysis: when to charge or discharge based on nodal pricing and plant curtailment

• API-ready SOC and curtailment forecast data

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Control Capabilities

Monitoring-only. However, it supports manual operator action or day-ahead bid planning based on charge/discharge recommendations.

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Operating Constraints

• Forecasting models assume consistent curtailment trends

• Battery recommendations do not include degradation cost modeling (yet)

• Assumes generator and battery are co-located and metered independently

• Market bid submission logic is out of scope

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Deployment Notes

• No hardware or local installation required

• Generator and battery must both expose real-time telemetry

• Works with Splight’s existing telemetry connectors

• Can evolve into a fully automated battery control solution if needed

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Support

Contact your Implementation Manager or email [email protected] for telemetry setup, integration support, or forecasting details.

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Watch this video walkthrough

Video coming soon

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