Reduction of distribution feeders for simplified PV impact studies

Reno, Matthew J.; Coogan, Kyle; Broderick, Robert Joseph; Grijalva, Santiago

doi:10.1109/pvsc.2013.6744944

Cited by 36 publications

(25 citation statements)

References 7 publications

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“…In this paper, we investigate volt-VAR, ESC, and ProDROMOS controls. Volt-var is a common function required by many European and North American grid codes and interconnection standards [37][38][39] included in most DER devices. ESC and ProDROMOS are more sophisticated controllers which calculate the target reactive power of DER and then set a power factor function to produce the reactive power level.…”

Section: Voltage Regulation Methodsmentioning

confidence: 99%

A Comparison of DER Voltage Regulation Technologies Using Real-Time Simulations

et al. 2020

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Grid operators are now considering using distributed energy resources (DERs) to provide distribution voltage regulation rather than installing costly voltage regulation hardware. DER devices include multiple adjustable reactive power control functions, so grid operators have the difficult decision of selecting the best operating mode and settings for the DER. In this work, we develop a novel state estimation-based particle swarm optimization (PSO) for distribution voltage regulation using DER-reactive power setpoints and establish a methodology to validate and compare it against alternative DER control technologies (volt–VAR (VV), extremum seeking control (ESC)) in increasingly higher fidelity environments. Distribution system real-time simulations with virtualized and power hardware-in-the-loop (PHIL)-interfaced DER equipment were run to evaluate the implementations and select the best voltage regulation technique. Each method improved the distribution system voltage profile; VV did not reach the global optimum but the PSO and ESC methods optimized the reactive power contributions of multiple DER devices to approach the optimal solution.

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Section: Voltage Regulation Methodsmentioning

confidence: 99%

A Comparison of DER Voltage Regulation Technologies Using Real-Time Simulations

et al. 2020

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“…Thus, QSTS simulations have been performed at larger time-steps or shorter timehorizons [5]. Minimal research efforts in the literature have been devoted to speeding up the computational time of QSTS simulations [8]- [11].…”

Section: Review Of Qsts Speed Researchmentioning

confidence: 99%

“…One method for increasing the computational speed is to reduce the size of the modeled distribution feeder. A method of reducing the number of buses on large feeders while maintaining the electrical characteristics of the system is proposed in [8] with minimal accuracy error on the preserved buses of interest. The size of the distribution feeder can also be reduced by separating geographical sections of the feeder into subnetwork and solving them in parallel on multicore machines using A-Diakoptics [9].…”

Section: Review Of Qsts Speed Researchmentioning

confidence: 99%

Challenges in reducing the computational time of QSTS simulations for distribution system analysis.

Deboever

Zhang

Reno

et al. 2017

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The rapid increase in penetration of distributed energy resources on the electric power distribution system has created a need for more comprehensive interconnection modelling and impact analysis. Unlike conventional scenario-based studies, quasi-static time-series (QSTS) simulations can realistically model time-dependent voltage controllers and the diversity of potential impacts that can occur at different times of year. However, to accurately model a distribution system with all its controllable devices, a yearlong simulation at 1-second resolution is often required, which could take conventional computers a computational time of 10 to 120 hours when an actual unbalanced distribution feeder is modeled. This computational burden is a clear limitation to the adoption of QSTS simulations in interconnection studies and for determining optimal control solutions for utility operations. Our ongoing research to improve the speed of QSTS simulation has revealed many unique aspects of distribution system modelling and sequential power flow analysis that make fast QSTS a very difficult problem to solve. In this report, the most relevant challenges in reducing the computational time of QSTS simulations are presented: number of power flows to solve, circuit complexity, time dependence between time steps, multiple valid power flow solutions, controllable element interactions, and extensive accurate simulation analysis.

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“…Extraneous elements such as short network branches, secondary networks, and clustered loads have been aggregated to provide a similar voltage profile on a much smaller network. The reduction process is described in [10].…”

Section: Approximations Made To Reduce Computation Timementioning

confidence: 99%

Analysis of PV Advanced Inverter Functions and Setpoints under Time Series Simulation.

Seuss

Reno

Broderick

et al. 2016

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Utilities are increasingly concerned about the potential negative impacts distributed PV may have on the operational integrity of their distribution feeders. Some have proposed novel methods for controlling a PV system's grid-tie inverter to mitigate potential PV-induced problems. This report investigates the effectiveness of several of these PV advanced inverter controls on improving distribution feeder operational metrics. The controls are simulated on a large PV system interconnected at several locations within two realistic distribution feeder models. Due to the time-domain nature of the advanced inverter controls, quasi-static time series simulations are performed under one week of representative variable irradiance and load data for each feeder. A parametric study is performed on each control type to determine how well certain measurable network metrics improve as a function of the control parameters. This methodology is used to determine appropriate advanced inverter settings for each location on the feeder and overall for any interconnection location on the feeder.

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Reduction of distribution feeders for simplified PV impact studies

Cited by 36 publications

References 7 publications

A Comparison of DER Voltage Regulation Technologies Using Real-Time Simulations

A Comparison of DER Voltage Regulation Technologies Using Real-Time Simulations

Challenges in reducing the computational time of QSTS simulations for distribution system analysis.

Analysis of PV Advanced Inverter Functions and Setpoints under Time Series Simulation.

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