PROJECT TITLE :

Optimal Sizing and Control of Energy Storage in Wind Power-Rich Distribution Networks

ABSTRACT:

This paper presents a designing framework to search out the minimum storage sizes (power and energy) at multiple locations in distribution networks to reduce curtailment from renewable distributed generation (DG), specifically wind farms, while managing congestion and voltages. A two-stage iterative process is adopted during this framework. The first stage uses a multi-amount AC optimal power flow (OPF) across the studied horizon to get initial storage sizes considering hourly wind and load profiles. The second stage adopts a high granularity minute-by-minute control driven by a mono-amount bi-level AC OPF to tune the primary-stage storage sizes in line with the actual curtailment. Congestion and voltages are managed through the optimal management of storage (active and reactive power), on-load faucet changers (OLTCs), DG power issue, and DG curtailment as last resort. The proposed storage designing framework is applied to a true thirty three-kV network from the North West of England over one week. The results highlight that by embedding high granularity management aspects into coming up with, it is potential to more accurately size storage facilities. Moreover, intelligent management of further flexibility (i.e., OLTCs, storage, and DG power factor control) will cause much smaller storage capacities. This, however, depends on the specified level of curtailment.