Longitudinal power transmission system (LPS) being common in developing countries, they frequently encounter instabilities due to loss of power and voltage stability during summer months, particularly during afternoon periods diversity when they are subjected to heavy loading, the load density being non-uniform, the reactive demand being also high. During normal steady state operation, the security being low, these longitudinal lines often pressed to wheel heavy real power to industrial load centres. At times, these lines are used to transport higher magnitude of power beyond normal operating limit fixed terminal reactive support for some period of time, mostly some of the lines are required to feed power to an adjoining sub-grid which might be in deficit of desired real power source. This paper presents an approach using QV, PV or nose curves for determining proximity to collapse so that operators can take timely preventive measures to avoid losing the system. In this paper two methods are used. One is predictor and parameterization method and another is corrector method.
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