Islanding Detection Parameters for Integrated Distributed Generation

Background: The growth of renewable energy sources is increasing in the world to meet the energy consumption demand. The major problem after the integration of renewable sources is islanding. The islanding is not safe for equipment and customers. As per Distributed Generation (DG) interconnection standards, it should be detected within 2 seconds. Objective: This paper presents the review of various islanding detection methods for increasing the stability of islanded DG. This will help future researchers in selecting the best islanding detection method with zero NDZ. Methods: The islanding detection methods are classified as local and remote techniques. The local techniques are again classified as active, passive and hybrid methods. Results: Each method is presented with their islanding detection time, power quality issues, Non- Detection Zone (NDZ), advantages and disadvantages. Conclusion: The fuzzy based artificial intelligence with Particle Swarm Optimization (PSO) passive methods have reduced the NDZ to zero and increases the stability of DG without degrading the power quality as active and passive methods.