A new algorithm for analysis of SVC’s impact on bifurcations, chaos and voltage collapse in power systems

In this paper, a numerical algorithm, based on initial value problem, using local parameterisation continuation technique is proposed for tracing stable and unstable steady state periodic solution branches of power systems. Bifurcation diagrams of steady state solutions are constructed by the application of the proposed algorithm. From the bifurcation diagrams, the existence of various bifurcation points such as, unstable Hopf bifurcation (UHB), stable Hopf bifurcation (SHB), cyclic fold bifurcation (CFB), saddle node bifurcation (SNB) and period doubling bifurcation (PDB) are identified. With the use of tools of nonlinear dynamics, voltage collapse points, and chaotic solutions due to period doublings are unearthed. Simulations have been carried out to analyse the sensitivity of the system with respect to load reactive power and compensating capacitor. The impact of SVC on Hopf bifurcations and occurrence of SNB are investigated. The algorithm is validated by applying it to a standard power system reported in literature and the results obtained are presented.

► Proposes an algorithm based on initial value problem. ► The algorithm uses local parameterization continuation technique. ► Capable of tracing stable and unstable periodic branches of power systems. ► Helps in identifying UHB, SHB, SNB, PDB etc. ► Impact of SVC on HBF, SNB etc are investigated.