Embedding quasi-static time series within a genetic algorithm for stochastic optimization: the case of reactive power compensation on distribution systems [PDF]
This paper presents a methodology for the optimal placement and sizing of reactive power compensation devices in a distribution system (DS) with distributed generation.
Bernal-Agustin, J.L. +5 more
core +7 more sources
Implementation of quasi-static time series simulations for analysis of the impact of electric vehicles on the grid [PDF]
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Artjoms Obushevs +9 more
core +4 more sources
The massive interconnection of rooftop solar photovoltaic (PV) generation to the distribution network constitutes a challenge for the operation and planning of distribution network.
Patiño Chitacapa, Cesar Andres
core +3 more sources
Evaluating Distributed PV Curtailment Using Quasi-Static Time-Series Simulations
By strategically curtailing active power and providing reactive power support, photovoltaic (PV) systems with advanced inverters can mitigate voltage and thermal violations in distribution networks. Quasi-static time-series (QSTS) simulations are increasingly being utilized to study the implementation of these inverter functions as alternatives to ...
Joseph A Azzolini +2 more
exaly +3 more sources
This article introduces a novel multirate cosimulation architecture that overcomes previous challenges integrating faster real-time, microseconds-scale, power-hardware-in-the-loop (PHIL) with larger scale but slower, real-time, seconds-scale, quasi-static time-series (QSTS) simulation.
Kumaraguru Prabakar +2 more
exaly +3 more sources
16021606The increasing penetration from intermittent renewable distributed energy resources in distribution grid brings along challenges in grid operation and planning. To evaluate the impact on the grid voltage profile, grid losses, and discrete actions
Wang, Zhenqi +5 more
core +2 more sources
Data-Driven Distribution System Load Modeling for Quasi-Static Time-Series Simulation
This paper presents a data-driven distribution system load modeling methodology targeting quasi-static time-series (QSTS) simulation. The proposed methodology is appropriate for modeling down to the level of the customer transformer, and it has three main features: 1) both load pattern diversity and intra-second load variability are considered, 2) the ...
Xiangqi Zhu, Barry Mather
exaly +2 more sources
Accelerating quasi-static time series simulations with foundation models
Quasi-static time series (QSTS) simulations have great potential for evaluating the grid’s ability to accommodate the large-scale integration of distributed energy resources.
Brunschwiler, Thomas +7 more
core +3 more sources
Shortening Quasi-Static Time-Series Simulations for Cost-Benefit Analysis of Low Voltage Network Operation with Photovoltaic Feed-In [PDF]
Executing quasi-static time-series simulations is time consuming, especially when yearly simulations are required, for example, for cost-benefit analyses of grid operation strategies.
Idlbi, Basem +3 more
core +4 more sources
Predetermined time-step solver for rapid quasi-static time series (QSTS) of distribution systems
Distribution system analysis with high penetrations of distributed energy resources (DER) requires quasi-static time-series (QSTS) analysis to capture the time-varying and time-dependent aspects of the system, but current QSTS algorithms are prohibitively burdensome and computationally intensive. This paper proposes a novel deviation-based algorithm to
Matthew J Reno
exaly +3 more sources

