Abstract
Real-time state estimation using a digital twin can overcome the lack of in-field measurements inside an electric feeder to optimize grid services provided by distributed energy resources (DERs). Optimal reactive power control of DERs can be used to mitigate distribution system voltage violations caused by increased penetrations of photovoltaic (PV) systems. In this work, a new technology called the Programmable Distribution Resource Open Management Optimization System (ProDROMOS) issued optimized DER reactive power setpoints based-on results from a particle swarm optimization (PSO) algorithm wrapped around OpenDSS time-series feeder simulations. This paper demonstrates the use of the ProDROMOS in a RT simulated environment using a power hardware-in-the-loop PV inverter and in a field demonstration, using a 678 kW PV system in Grafton (MA, USA). The primary contribution of the work is demonstrating a RT digital twin effectively provides state estimation pseudo-measurements that can be used to optimize DER operations for distribution voltage regulation.
Highlights
With the rapid price reductions in clean energy generation over the last several years, renewable energy installations continue to increase in number [1,2]
power hardware-in-the-loop (PHIL) in combination with digital twins has been proposed in the past, but not with the intent of co-simulating a RT distribution model to help manage case scenario for the distributed energy resources (DERs) operating without control was obtained and compared with the particle swarm optimization (PSO) optimal power flow (OPF) results
These results demonstrate that the developed PHIL platform digital twin and the field measurements for the active and reactive power at the point of common coupling (PCC) of for the NG distribution feeder provides an adequate representation of the distribution the PV
Summary
With the rapid price reductions in clean energy generation over the last several years, renewable energy installations continue to increase in number [1,2]. A dearth of distribution telemetry prevents the use of state estimationbased DER setpoint optimization for distribution voltage regulation because the system is not observable [42] To get around this issue, industry typically employs pseudomeasurements to help fill in any gaps present in the information collection process [43]. Intelligent power systems include the collection and monitoring of performance data used to understand operating conditions and prevent system failures in the power grid [67] Due to their connectivity, data management and accessibility, digital twins have incorporated the concept of Internet of Things (IoT), enabling more advanced services [68,69].
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