Suggested Smart Adaptive Load Shedding of an Islanded Microgrid Containing Renewable Resources

In recent years, long-duration outages which have happened globally have challenged the reliability of typical recovery methods and system frequency protections that are used in order to prevent these outages. In order to handle this problem and improve the performance of methods such as under-frequency load shedding to maintain system frequency, there is a need to revise existing methods fundamentally to perform accurate and fast load shedding to prevent through outage of power system. Adaptive methods, due to their tolerance and flexibility against complicated non-linear systems and also high reliability, can be appropriate options for handling this problem. This paper presents an adaptive load shedding algorithm by applying modifications in adaptive load shedding methods and combining it with metaheuristic Imperialist Competitive Algorithm (ICA). The presented algorithm improves the reliability of older methods and decreases the probability of system collapse by decreasing the convergence time of previous algorithm and improving the system frequency drop. Besides, in order to verify and prove the advantages of the presented method comparing to previous methods, these methods are simulated in PSCAD/EMTDC connected to MATLAB and are compared to each other.