
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Aggregation of Voltage-Controlled Devices During Distribution Network Reduction

Quasi-steady state time-series (QSTS) simulation of distribution feeders can become computationally burdensome due to many buses and devices, long simulation horizons, and/or high temporal resolution. To reduce this burden, network reduction removes buses and shifts loads/generation to the remaining buses of the circuit to produce a smaller equivalent. However, voltage-controlled devices have traditionally limited network reduction, since their operation depends on the measurement of voltage at their local bus. This work includes the reduction of buses with voltage-controlled devices by replacing the local voltage measurement with an estimate from a fast voltage sensitivity approach, which is integrated directly into a modified QSTS simulation. Comprehensive tests on an unbalanced feeder with real operating data and volt-var controlled inverters show agreement in cumulative reactive power output between the reduced and the original feeder circuits. The maximum voltage error is 0.005 Vp.u., which is nearly identical to the error in a benchmark reduction without smart inverter voltage control. The algorithm convergences for every time step, even when reducing the frequency of which the voltage estimation was updated. While the reduction methodology is demonstrated for inverter volt-var control, since it represents a frequent use case, it can be extended to other voltage-controlled devices.
- University of California, San Diego United States
- Sandia National Laboratories United States
- University of Tennessee at Chattanooga United States
- University of Tennessee at Chattanooga United States
- University of California System United States
smart inverter, voltage sensitivity, quasi-static time-series simulations, Reactive power, network reduction, Impedance, Voltage measurement, voltage estimation, Inverters, Capacitors, Integrated circuit modeling, Distribution system, Voltage control, volt-var control, Interdisciplinary Engineering, Electrical and Electronic Engineering
smart inverter, voltage sensitivity, quasi-static time-series simulations, Reactive power, network reduction, Impedance, Voltage measurement, voltage estimation, Inverters, Capacitors, Integrated circuit modeling, Distribution system, Voltage control, volt-var control, Interdisciplinary Engineering, Electrical and Electronic Engineering
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
