The paper describes the experience of a successful online implementation of the Dissipating Energy Flow method for locating the source of oscillations in the Oscillation Source Locating (OSL) application. The OSL is a key component of the online oscillation management at ISO New England and in operation since September 2017. The paper includes analysis of 1000+ actual oscillatory events processed by the OSL demonstrating the efficiency of the process in locating the source of oscillations.

The article describes the evaluation of the Complex Dissipating Energy Flow (CDEF) method's efficiency in locating the source of oscillation for 250+ simulated cases in 240-bus WECC system and 300+ actual oscillatory events in ISO New England power system. The paper proposes the CDEF implementation in the frequency domain and proposes a formalized Dissipating Energy pattern recognition (DR-PR) process significantly increasing the source locating capability even with limited system observability by PMU. The paper also discusses the efficiency of the CDEF in phasor domain for identifying the source of forced oscillation caused by Invertor Based Resource and using the electromagnetic type modeling.

This letter devises Neural Dynamic Equivalence (NeuDyE), which explores physics-aware machine learning and neural-ordinary-differential-equations (ODE-Net) to discover a dynamic equivalence of external power grids while preserving its dynamic behaviors after disturbances. The contributions are threefold: 1) an ODE-Net-enabled NeuDyE formulation to enable a continuous-time, data-driven dynamic equivalence of power systems; 2) a physics-informed NeuDyE learning method (PI-NeuDyE) to actively control the closed-loop accuracy of NeuDyE without an additional verification module; 3) a physics-guided NeuDyE (PG-NeuDyE) to enhance the method's applicability even in the absence of analytical physics models. Extensive case studies in the NPCC system validate the efficacy of NeuDyE, and, in particular, its capability under various contingencies.

The Complex Dissipating Energy Flow (CDEF) method for locating sources of forced oscillations (FOs) has a solid theoretical foundation and has shown very good performance applied to low-frequency oscillations (LFOs) associated with synchronous generators. The CDEF method is successfully applied in ISO New England and uses phasor measurement unit (PMU) data. However, traditional PMU measurements may be inaccurate within the frequency range of subsynchronous oscillations (SSOs) associated with inverter-based resources (IBRs). In this paper, we present an extension of the CDEF method for locating the source of SSO, which we call SSO-CDEF. The SSO-CDEF is based on point-on-wave (POW) measurements and explicitly accounts the contribution of sub- and super-synchronous oscillations. The effectiveness of the method is demonstrated in IEEE 14-bus model with grid following and grid forming inverters and using EMT simulation results as synthetic POW measurements.

Maintaining reliable operation of the bulk power system is a fundamental aspect of grid operation, and focuses on ensuring the system can withstand sudden disturbances or unanticipated failures of system elements such that instability, uncontrolled separation, or cascading failures will not occur. Phasor measurement units (PMUs) provide the capability for enhanced real-time monitoring and control room solutions as well as improved power system analysis in the planning horizon. With over 1,700 PMUs deployed in the North American grid, numerous PMU-based applications have been developed. This paper summarizes synchrophasor-based applications and presents utility synchrophasor experience.