New intelligent controlled islanding scheme in large interconnected Power Systems


This study presents a brand new intelligent controlled islanding scheme based on wide space measurement systems information to avoid the wide area blackout. 3 offline, on-line and real-time components are applied to resolve three problems including where and when to implement islanding and what to try to to after separation. New security-based criteria are used to determine the initial stable coherent groups. The boundaries of islands are obtained adaptively considering different operating points by using the weighted time varying graph structure of the network. To reach additional stable islands, reactive power is taken into account by using a self-tuned online fuzzy factor in graph weights. The number of necessary islands with their locations is determined in on-line part by monitoring the dominant inter-area oscillations between the initial groups (IGs). Then, the network is split into islands with the objective of minimum power flow disruption. To detect the unavoidable islanding cases correctly, a replacement parallel adaptive neuro-fuzzy inference system (ANFIS) structure is intended. In an exceedingly parallel structure, for each of two adjacent IGs a definite ANFIS is additionally applied to think about variable stability margins between groups. Simulation results ensure that the blackout can be avoided in a giant power grid by using the proposed technique.

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