An Intelligent Load Shedding Scheme for the Micro-grid in Shipboard Power System Using Probabilistic Methods

This paper presents a probabilistic approach for integrating the load-shedding scenario in the intelligent Power Management Systems (PMS). PMS plays a crucial role in Shipboard Power Systems (SPS). The core idea of PMS is to integrate all the Distributed Generators (DGs), Energy Storage Devices (ESDs) and flexible loads. It also services all such loads when a fault or maintenance situation occurs, and generation is not available at optimum condition. This is when load shedding appears in the scenario. The proposed method uses the concept of load clustering and the Markov model. This instructs the energy managers to switch between different load clusters and serve crucial loads at the time of power shortage. A statistical modeling approach is taken to outline the crucial and non-crucial loads and to define the clusters. A program that takes the probabilistic approach is developed and defined by Markov models and serves the loads under power shortage without disrupting the crucial loads. A few case studies, which were implemented in a notional SPS are illustrated. Satisfactory results encouraged to describe different reliability indices to validate the proposition.