Real-Time Model Predictive Control of Battery Energy Storage Active and Reactive Power to Support the Distribution Network Operation

This paper proposes a model predictive control technique to optimally dispatch of battery energy storage systems (BESS) installed on the medium voltage distribution network to manage the violations in addition to enhancing the power quality and stability. A two-phase strategy is developed to manage the BESS inverter power on the four active/reactive power quadrants. A multiobjective function is formulated in order to optimize the system voltage, power factor and line losses. The uncertainties associated with demand and generation forecasting are considered in the proposed strategy by introducing a real-time operational phase. The network, BESS, and inverter technical constraints are considered, and the proposed strategy is validated by simulating different scenarios on an 11 kV, 53-node distribution network located in Northern Ireland.