Calculation of optimal load margin based on improved continuation power flow model

X Dong, C Wang, Z Yun, X Han, J Liang, Y Wang… - International Journal of …, 2018 - Elsevier
X Dong, C Wang, Z Yun, X Han, J Liang, Y Wang, P Zhao
International Journal of Electrical Power & Energy Systems, 2018Elsevier
This study proposed an improved continuation power flow (CPF) model to calculate the load
margin for voltage stability. A self-adjusting step-size controlling scheme of CPF, which is
based on the iterations in the corrector and the reactive power reserve of generator buses, is
presented. The load margin here is defined either by encountering the saddle node
bifurcation (SNB) or the limit-induced bifurcation (LIB). To confirm the LIB, a rapid approach
is proposed to calculate the sensitivity of voltage magnitude to reactive power injection …
Abstract
This study proposed an improved continuation power flow (CPF) model to calculate the load margin for voltage stability. A self-adjusting step-size controlling scheme of CPF, which is based on the iterations in the corrector and the reactive power reserve of generator buses, is presented. The load margin here is defined either by encountering the saddle node bifurcation (SNB) or the limit-induced bifurcation (LIB). To confirm the LIB, a rapid approach is proposed to calculate the sensitivity of voltage magnitude to reactive power injection change for load buses. Because CPF with distributed slack bus (DSB) could generate different load margin results corresponding to various allocations of imbalanced power, optimization techniques should be adopted in the search for maximizing the load margin. Therefore, the improved CPF is integrated with an evolutionary mechanism-based particle swarm optimization (PSO) method via coordinate transformation. Furthermore, parallel processing is deployed in the programming for high-performance computing. The case studies for the IEEE 5-bus and IEEE 14-bus test systems demonstrate the efficiency of the proposed approaches.
Elsevier
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