The Impact of Behind-the-Meter Heterogeneous Distributed Energy Resources on Distribution Grids

Paudyal, Priti; Ding, Fei; Ghosh, Shibani; Baggu, Murali; Symko-Davies, Martha; Bilby, Chris; Hannegan, Bryan

doi:10.1109/pvsc45281.2020.9300626

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…Distribution grids with high penetration of grid-edge/behind-themeter technologies [37], [38], e.g., electric vehicles, residential solar panels, or demand response, can experience large, fast-ramping variations in power demand at the different buses. These rapid changes in loading are out of the distribution system operator's control and can lead to network perturbations, e.g., over/under-voltage, line congestion, etc.…”

Section: B Real-time Network Reconfigurationmentioning

confidence: 99%

Second-Order Online Nonconvex Optimization

Lesage‐Landry

Taylor

Shames

2021

IEEE Trans. Automat. Contr.

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We present the online Newton's method, a single-step second-order method for online nonconvex optimization. We analyze its performance and obtain a dynamic regret bound that is linear in the cumulative variation between round optima. We show that if the variation between round optima is limited, the method leads to a constant regret bound. In the general case, the online Newton's method outperforms online convex optimization algorithms for convex functions and performs similarly to a specialized algorithm for strongly convex functions. We simulate the performance of the online Newton's method on a nonlinear, nonconvex moving target localization example and find that it outperforms a first-order approach.

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Section: B Real-time Network Reconfigurationmentioning

confidence: 99%

Second-Order Online Nonconvex Optimization

Lesage‐Landry

Taylor

Shames

2021

IEEE Trans. Automat. Contr.

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“…The PV and BESS are modeled using the standard PV system and storage objects available in OpenDSS. The PV panel is sized such that the total annual generation matches 120% of the total annual load consumption at the same residential location [44]. Additionally, the PV inverter kVA rating is assumed to be 110% of its kW rating.…”

Section: Distribution Feeder Modelingmentioning

confidence: 99%

Peak Demand Management and Voltage Regulation Using Coordinated Virtual Power Plant Controls

Padullaparti,

Pratt,

Mendoza

et al. 2023

IEEE Access

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The aggregation of distributed energy resources (DERs) enables them to provide various grid services as a virtual power plant (VPP). Utilities use enterprise control solutions, such as advanced distribution management systems (ADMS) and distributed energy resource management systems (DERMS), to efficiently integrate DERs and realize the benefits of a VPP. These control solutions can complement each other to offer additional benefits. This paper evaluates the coordinated operation of an ADMS and a DERMS that collectively implements a VPP to provide peak demand reduction and voltage regulation through the simulation of an actual distribution feeder. A commercial ADMS reduces the peak demand through conservation voltage reduction (CVR). A prototype DERMS dispatches residential battery energy storage systems (BESS) based on real-time optimal power flow to provide additional peak demand reduction. The

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“…A large portion of the feeder is modeled in OpenDSS. The load and PV profiles are generated using the AMI data recorded in the field for the feeder modeling as detailed in [18].…”

Section: Co-simulationmentioning

confidence: 99%

“…Increasing its value accelerates convergence and could result in oscillations and instability, and reducing its value decelerates convergence and could achieve poor performance. The recommended value of gradient step size in the coordinator can be found in [18], and it can be slightly increased/decreased with the step of 10 −4 based on the performance.…”

Section: Implement Dermsmentioning

confidence: 99%

Voltage Regulation Performance Evaluation of Distributed Energy Resource Management via Advanced Hardware-in-the-Loop Simulation

et al. 2021

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This paper evaluates the performance of coordinated control across advanced distribution management systems (ADMS), distributed energy resources (DERs), and distributed energy resource management systems (DERMS) using an advanced hardware-in-the-loop (HIL) platform. This platform provides a realistic laboratory testing environment, including accurate dynamic modeling of a real-world distribution system from a utility partner, real controllers (ADMS and DERMS), physical power hardware (DERs), and standard communications protocols. One grid service—voltage regulation—is evaluated to show the performance of the coordinated grid automation system. The testing results demonstrate that the coordinated DERMS and ADMS system can effectively regulate system voltages within target operation limits using DERs. The realistic laboratory HIL testing results give utilities confidence in adopting the grid automation systems to manage DERs to achieve system-level control and operation objectives (e.g., voltage regulation). This helps utilities mitigate potential risks (e.g., instability) prior to field deployment.

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The Impact of Behind-the-Meter Heterogeneous Distributed Energy Resources on Distribution Grids

Abstract: This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. U.S. Department of Energy (DOE) reports produced after 1991 and a growing number of pre-1991 documents are available free via www.OSTI.gov.

Cited by 5 publications

References 8 publications

Second-Order Online Nonconvex Optimization

Second-Order Online Nonconvex Optimization

Peak Demand Management and Voltage Regulation Using Coordinated Virtual Power Plant Controls

Voltage Regulation Performance Evaluation of Distributed Energy Resource Management via Advanced Hardware-in-the-Loop Simulation

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