Dynamic Volt/VAR Optimization

  • Volt-VAR optimization are one of the fundamental power system functions for maintaining voltage profiles and reducing losses, yet being challenged by complex two-way power flow with DERs (e.g. closing a cap bank will increase losses under reverse power flow).
  • Existing solutions, including local automatic device controls and centralized rules-based engines, can fail to optimize with DERs.
  • Delivers improved voltage profile, loss minimization, and conservative voltage reduction for greater efficiencies in the network, while minimizing equipment operations and asset stress.
  • Flexible towards new optimization objectives, such as hosting capacity.
  • Enables new customer-engagement models where customer-owned assets (e.g. solar, storage) can provide grid support.
  • Model-based system for maximum accuracy and adapts to real time network topology, even under complex two-way power flow.
  • Highly modular and lightweight, “one-feeder-at-a-time”, yet scalable for full enterprise integration.
  • Future-proof to dispatch smart inverters and energy storage systems for grid support, whether above-the-meter or behind-the-meter.
  • Inputs include the 3Φ AC unbalanced electrical model of the network, with real time network topology, field measurements (e.g. SCADA, AMI), and available volt-VAR devices (e.g. LTC, voltage regulators, capacitor banks, and DERs including smart inverters and energy storage systems).
  • Flexible configuration of existing and new objectives and constraints (e.g. hosting capacity, load/generation balance, contracts to dispatch customer owned equipment).
  • GridOS performs powerful distribution system state estimation (DSSE) and multi-objective optimization algorithms for theoretically optimal dispatch of volt-VAR devices.