Hybrid Optimal Power System Recovery and Load Pick-Up With DG Allocation In Electrical Power System
Keywords:
Blackout Recovery; Shortest path; Load pick-up; MCSA technique; Generator Capability Curve; Graph theory; distributed generation (DG)Abstract
The increasing demand for electricity, the expansion of complex power networks, and the
operation of power systems near their capacity have heightened the risk of power outages. Consequently,
control room operators must develop comprehensive restoration plans to minimize recovery time. Key steps
in power system restoration include starting non-black-start units with black-start units and initiating load
pick-up. This process requires identifying the shortest route between nodes to expedite repairs. This
research presents an expert plan employing the Modified Cuckoo Search algorithm (MCSA) to determine
optimal pathways. Additionally, it explores the optimal allocation of distributed generators (DG) to enhance
the system's voltage profile and reduce power losses using particle swarm optimization (PSO). The results
demonstrate that DG significantly reduces losses during recovery. The study prioritizes the restoration of
DGs with strong black start capability, considering network and DG constraints. The effectiveness of the
proposed restoration approach is validated through MATLAB simulations on the IEEE 39-bus system
