Smart Inadvertent Islanding Detection employing p-type μPMU for an Active Distribution Network

Soham Dutta, Pradip Kumar Sadhu, M.Jaya Bharata Reddy, Dusmanta Mohanta
  • IET Generation Transmission & Distribution, August 2018, the Institution of Engineering and Technology (the IET)
  • DOI: 10.1049/iet-gtd.2018.5805

Island Detection using Micro PMU, Fortescue transform and Load flow analysis

What is it about?

This study proposes a real-time inadvertent islanding detection by μPMU. The voltage and current phasors obtained from these μPMUs by discrete Fourier transform are further processed by Fortescue transform to compute the angle of sequence components. The absolute angle difference between positive and zero components is used to initiate signal for accomplishing intelligent islanding under islanded condition.

Why is it important?

The results prove the method to be robust, computationally efficient, non-detection zone free and feasible.Most significantly, as measuring equipment and relay are already present in p type μPMU, therefore unlike other detection methods, no extra arrangements are required in this method making it economically viable and easy to implement.



PMUs have already established its useful assets in the stomping ground of transmission grid. With the proliferation of the DGs at full length of the distributed system, rendering it to be no longer quasi-stationary, μPMUs will become indispensable for the sensory as well as protective part of the distribution system. Taking this into account, the paper proposes a method that employs p-type μPMUs for islanding detection. The most significant feature of this technique is the non-requirement of any additional hardware unit. The inbuilt microprocessor in the μPMU can be aptly programmed to execute the required Fortescue transform and the required signal during islanding can be sent using the communication channel of the μPMUs. The algorithm has zero NDZ and is also insensitive to different non-islanding scenarios, fault scenarios as well as other power system operations. Moreover, the algorithm also proposes intelligent islanding and prevents the critical load from being shut down. Further, the μPMUs of the islanded area enhances situational awareness by sending information regarding islanding scenario to other IPPs as well as the utility as a consequence of which after islanding, they are able to cope up any disturbances in the non-islanded area. Thus, from practical implementation point of view, this method proves to be easy, less time consuming and cost efficient. The robustness and feasibility of this method is justified with proper simulation results.

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The following have contributed to this page: Professor Dusmanta Kumar Mohanta, SOHAM DUTTA, and PRADIP KUMAR SADHU