An approach for local net-load ramp rate control using integrated energy storage based on least square error minimization technique

Abstract

This paper proposes an error minimization technique based active power management solution for net-load ramp rate control using integrated energy storage systems in a power distribution system. The proposed approach locally control the net-load ramp rate with an intention to minimize the timing imbalance of load peak and Photo-Voltaic (PV) generation at the distributed PV farms. The cumulative effect of such control with multiple energy storage is the overall reduction in the risk of over-generation in conventional generation units due to Behind-The-Meter (BTM) distributed PV farms. Methodology is applied on 4000 nodes non-aggregated model of distribution feeder in North Carolina. Results showed successful co-ordination between net-load control and other required applications. Energy storage system sizing trade-off is also discussed.