Voltage dependent load models of charging electric vehicles

Sortomme, E.; Negash, Ahlmahz I.; Venkata, S.S.; Kirschen, Daniel S.

doi:10.1109/pesmg.2013.6672752

Cited by 28 publications

(19 citation statements)

References 12 publications

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“…2. The load model parameters are considered based on the experimental studies in [42], [43]. For example, the load in bus 1 is a combination of residential appliances, including coffee maker, LED and tungsten lights, and LCD television, as described in [42].…”

Section: A Basic Results With and Without Lateralsmentioning

confidence: 99%

Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events

Shahsavari

Farajollahi

Mohsenian‐Rad

2019

IEEE Trans. Power Syst.

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There currently exists a mature literature on modeling the aggregate load of a distribution feeder by making use of measurements at its feeder-head at substation. The primary application of such feeder-aggregated load models is in sub-transmission or transmission system analysis. However, there is a growing need in practice also to model each individual load across the feeder. If available, such individual load models have applications in power distribution system analysis, e.g., to better integrate distributed energy resources or to improve power quality and reliability. Motivated by this observation, in this paper, we propose a new method for individual load modeling in power distribution systems. It works by using the measurements only at the feeder-head. It takes an innovative approach to analyzing the load switching events across the distribution feeder itself, instead of or in addition to relying on upstream voltage events that are commonly used in feeder-aggregated load modeling. By tracking the downstream load switching events, the proposed method can make a robust estimation of the ZIP load model parameters for all individual loads. The proposed method is examined on small illustrative test-feeders as well as the IEEE 33-bus test system under various operating scenarios. The adverse impact of errors in measurements and system parameters are also investigated on the performance of the developed load modeling method.Index Terms-Load modeling, distribution system analysis, load switching events, ZIP model, nonlinear parameter estimation. V Voltage phasor measured at feeder-head S, P, Q Power measured at feeder-head V i

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Section: A Basic Results With and Without Lateralsmentioning

confidence: 99%

Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events

Shahsavari

Farajollahi

Mohsenian‐Rad

2019

IEEE Trans. Power Syst.

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“…In addition, the voltage‐dependent characteristics of EV charging were monitored using real EVs. Based on the monitoring results, both α p and α q for the EV charging were assumed to be 1.0 .…”

Section: Methodology For Evaluating Fast Ev Chargeable Hosting Capacimentioning

confidence: 99%

Increasing electric vehicle hosting capacity and equality for fast charging stations using residential photovoltaics in medium‐ and low‐voltage distribution networks

Sugihara

Funaki

2019

IEEJ Transactions Elec Engng

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To achieve broad installation of electric vehicles (EVs), it is important to deploy fast EV charging stations at many points without distribution network reinforcement. This study develops a methodology for evaluating the hosting capacity for fast EV charging loads under medium-and low-voltage (MV and LV) distribution networks with bus-voltage and line-current constraints; hence, the promising combination of fast EV charging and rooftop photovoltaic (PV) generation in distribution networks is analyzed. In particular, on a sunny day, the active power output supplied by rooftop PVs can be used to mitigate the voltage drop problem for end-use residential customers. On a cloudy day, even though the active power output is smaller, the residual inverter capacities of rooftop PVs can be used to generate reactive power from those systems. In addition, in order to evaluate the spatial equalization of the EV hosting capacity at fast charging stations, an equalization factor of the spatial distribution is proposed, which is obtained as a percentage of the EV hosting capacity in the equally maximized case over that in the simply maximized case. The equalization factor can be improved from approximately 33 to 70% using the active and reactive power outputs from residential rooftop PVs.

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“…Based on the Type II, Type III, and Type IV (Voltage <120 V) results reported in Ref. , the values of both αp and αq for EV charging were set to 1.0.…”

Section: Test System Of the LV Distribution Networkmentioning

confidence: 99%

Analyzing the maximum output of residential PV in low‐voltage distribution networks considering voltage‐dependent loads

Sugihara

Funaki

2018

IEEJ Transactions Elec Engng

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Voltage rise is a significant problem in low-voltage distribution networks where individual load characteristics might arise easily. In this paper, we develop a method for evaluating the maximum output of a photovoltaic (PV) system by considering voltagedependent loads in residential low-voltage distribution networks. The influence of voltage-dependent load on the maximum PV output is examined. Furthermore, the impact of electric vehicle charging load on the maximum PV output is analyzed by taking into account its voltage-dependent characteristics.

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Voltage dependent load models of charging electric vehicles

Cited by 28 publications

References 12 publications

Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events

Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events

Increasing electric vehicle hosting capacity and equality for fast charging stations using residential photovoltaics in medium‐ and low‐voltage distribution networks

Analyzing the maximum output of residential PV in low‐voltage distribution networks considering voltage‐dependent loads

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