State Estimation for DG penetrated Adaptive Distribution System during Disaster

Real time monitoring and control of distribution system which is highly complex, is a challenge especially during catastrophic events. These events cause drastic changes in the system due to cascading failures, generator outage, blackouts and many more. This paper proposes state estimation of the system in order to control key parameters at several nodes by creating situational awareness for real time monitoring and control of the system for efficient functioning of adaptive distribution system. The proposed paper also consists of State estimation design phases which was further used for mathematical modelling of the system during and after disaster. Now, adaptive distribution system was realized using Distributed Generation (DG) sizing and siting. IEEE 30 Bus network has been considered for implementation and also for justification of the proposed work. The paper is intended to ensure a distribution system with adaptive capability in order to suit extreme weather events.

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