2017/02/05 by Chengxi Liu, Bin Wang, Liu, Chengxi +7
Computer Science · #Computational Engineering #FOS: Computer and information sciences #Finance #and Science (cs.CE) #cs.CE
paper · pdf · doi:10.48550/arxiv.1702.01464
Revised and Submitted to IEEE Transaction on Power Systems
arxiv created 2017/06/20 · arxiv updated 2017/06/22
This paper proposes an online steady-state voltage stability assessment scheme to evaluate the proximity to voltage collapse at each bus of a load area. Using a non-iterative holomorphic embedding method (HEM) with a proposed physical germ solution, an accurate loading limit at each load bus can be calculated based on online state estimation on the entire load area and a measurement-based equivalent for the external system. The HEM employs a power series to calculate an accurate Power-Voltage (P-V) curve at each load bus and accordingly evaluates the voltage stability margin considering load variations in the next period. An adaptive two-stage Pade approximants method is proposed to improve the convergence of the power series for accurate determination of the nose point on the P-V curve with moderate computational burden. The proposed method is illustrated in detail on a 4-bus test system and then demonstrated on a load area of the Northeast Power Coordinating Council (NPCC) 48-geneartor, 140-bus power system.