Abstract: Effective feature set-based high impedance fault (HIF) detection is provided. Systems, methods and devices described herein present a systematic design of power feature extraction for HIF detection and classification. For example, power features associated with HIF events are extracted according to when a fault happens, how long it lasts, and the magnitude of the fault. Complementary power expert information is also integrated into feature pools. In another aspect, a ranking procedure is deployed in a feature pool for balancing information gain and complexity in order to avoid over-fitting of features. In aspects described herein, a logic-based HIF detector implements HIF feature extraction. To determine when an HIF occurs, the HIF detector calculates different quantities, such as active power and reactive power, based on a voltage and current time series, and uses the derivative of these quantities to tell when there is a potential change due to HIF.

Abstract: Effective feature set-based high impedance fault (HIF) detection is provided. Systems, methods and devices described herein present a systematic design of power feature extraction for HIF detection and classification. For example, power features associated with HIF events are extracted according to when a fault happens, how long it lasts, and the magnitude of the fault. Complementary power expert information is also integrated into feature pools. In another aspect, a ranking procedure is deployed in a feature pool for balancing information gain and complexity in order to avoid over-fitting of features. In aspects described herein, a logic-based HIF detector implements HIF feature extraction. To determine when an HIF occurs, the HIF detector calculates different quantities, such as active power and reactive power, based on a voltage and current time series, and uses the derivative of these quantities to tell when there is a potential change due to HIF.

Abstract: According to an aspect of the invention a method is provided comprising: providing a model for a predetermined location within an electrical power system having therein distributed resources (DR), the model based on known system conditions, the model indicative of first sensed characteristics of the electrical power system at the predetermined location; sensing at the predetermined location characteristics of the electrical power system corresponding to at least some of the first sensed characteristics; determining a status of the electrical power system network indicative of an islanding event in dependence upon sensing and other than in dependence upon other sensed data sensed remotely from the predetermined location; and, controlling a distributed resource in dependence upon the status.

Abstract: According to an aspect of the invention a method is provided comprising: providing a model for a predetermined location within an electrical power system having therein distributed resources (DR), the model based on known system conditions, the model indicative of first sensed characteristics of the electrical power system at the predetermined location; sensing at the predetermined location characteristics of the electrical power system corresponding to at least some of the first sensed characteristics; determining a status of the electrical power system network indicative of an islanding event in dependence upon sensing and other than in dependence upon other sensed data sensed remotely from the predetermined location; and, controlling a distributed resource in dependence upon the status