Battery Storage Modelling for Enhanced Connection Assessments (BaTSeC)

Project summary

BaTSeC will provide an improved capability for understanding the effect of possible battery storage scenarios by developing a new battery model which combines data analysis techniques with market understanding in three modules

Name Status Project reference number Start date Proposed End date
Battery Storage Modelling for Enhanced Connection Assessments (BaTSeC) Live NIA2_NGESO076 May 2024 Jan 2025

 

Strategy theme Funding mechanism Technology Expenditure
Net zero and the energy system transition NIA_RIIO-2 Energy Storage £310,000
Summary

BaTSeC will provide an improved capability for understanding the effect of possible battery storage scenarios by developing a new battery model which combines data analysis techniques with market understanding in three modules: 

  • Markets module will be trained on historic market data which will output either historic or synthetic pricing signals. The probability of specific market scenarios can be quantified and therefore determine a “reasonable worst case”.     
  • Battery module takes into account battery parameters and behaviours. When producing output for multiple batteries, behaviour will be sampled from a probability distribution to give a realistic representation of coincidence. 
  • Dispatch integration module will convert the battery output into a set of half hourly power flow and link these into the ESO’s dispatch model.  

Benefits

The project will deliver the following benefits: 

  • Improved understanding of battery operating modes and the impact of market conditions. 
  • A model that can be used to support connections assessments, understand reinforcement requirements, and test the impact of policy decisions on sections of network. 
  • A modular model that can be updated as market conditions evolve, or as further functionality is require

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