Development and Validation of a New Oscillatory Component Load Model For Real-Time Estimation of Dynamic Load Model Parameters

Paidi, E. S. N. Raju; Nechifor, Alexandru; Albu, Mihaela; Yu, James; Terzija, Vladimir

doi:10.1109/tpwrd.2019.2918059

Cited by 21 publications

(7 citation statements)

References 28 publications

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“…Therefore, it is essential to study the harmonic characteristics of converters and the dynamic characteristics of loads, and analysis of possible power quality problems and quantified indicators, and control strategies are the key directions in the future (Shu et al, 2021). A new oscillatory component load model was derived from a second-order differential equation in (Paidi et al, 2020), which consisted of static, exponential recovery, and damped oscillatory components and was used in real-time parameter estimation of the dynamic load model. 5) Though the research on power systems uncertainty is a hot topic, related techniques are not mature for DCNG where a bottom-up structure is close to the demand side with RES.…”

Section: Discussion Of the Future Directionmentioning

confidence: 99%

Review of Control Strategies for DC Nano-Grid

2021

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As an emerging energy management technology, the DC nano-grid coordinates renewable energy sources output through demand-side management which would provide more options and flexibility for the dispatch of smart buildings and communities with high reliability and efficiency. In this context, this article has analyzed the structure and components of the DC nano-grid. The role and components in DC nano-grid are reviewed in this article. Then the crucial control technologies for the DC nano-grid in recent years are investigated from two aspects: local control and coordinated control, which contains control schemes such as voltage/current control technology, power-sharing technology and cooperative control technology. Different control strategies at various levels are compared and their application scenarios, advantages and disadvantages are also analyzed. The current research progress and challenges are summarized at the end of this article.

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Section: Discussion Of the Future Directionmentioning

confidence: 99%

Review of Control Strategies for DC Nano-Grid

2021

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“…For instance, this is the case of power electronics interfaced loads, whose P r component includes an exponential and a damped oscillatory part. To address this issue, one can resort to the OCLM and VFLM [31], [32]. The former models a second-order response, while the latter can describe responses of any order through vector fitting (VF)-an algorithm that approximates a measured or calculated frequency domain response with a rational transfer function G(s) 1 .…”

Section: B Dynamic Load Modelsmentioning

confidence: 99%

Definition of Static and Dynamic Load Models for Grid Studies of Electric Vehicles Connected to Fast Charging Stations

Giudice¹,

Brambilla²,

Bizzarri³

et al. 2023

Preprint

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The growing deployment of electric mobility calls for power system analyses to investigate to what extent the simultaneous charging of electric vehicles leads to degraded network operation and to validate the efficiency of countermeasures. To reduce complexity and CPU time, a common approach while performing these analyses consists in replacing electric vehicles and their charging stations with constant PQ loads. However, this approach is inaccurate, as the power absorbed by these elements actually depends not only on voltage but also on the state of charge, charging method, cathode chemistry of the battery pack, and converter controls in the electric vehicle and charging station.By considering all these aspects, this article develops a novel static load model and a vector fitting-based dynamic load model for electric vehicles connected to fast charging stations. These computationally efficient representations can replace the standard constant PQ load model of electric vehicles to assess more accurately their impact in static and dynamic grid studies. Simulation results of the IEEE14 system modified by adding fleets of electric vehicles prove the accuracy of the proposed models and highlight the shortcomings of the standard electric vehicle representation as a constant PQ load in some cases.

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“…63 At distinction, a relentless current load (I) model of work unit conferred on. 64 In, 65 static charge model has developed the rapid charge of the work unit through associated alternative current (AC) -direct current (DC) rectifier in addition to DC-DC device to check the stability of the network. Table 2.…”

Section: Ev Integration Impacts On Grid Stabilitymentioning

confidence: 99%

Review of electric vehicle (EV) charging using renewable solar photovoltaic (PV) nano grid

Satheesh Kumar,

Ashok Kumar,

Senthilrani

2023

Energy & Environment

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This review article gives a comprehensive review of existing research on renewable solar photovoltaic (PV) nanogrid, which is described from small-scale power system with a single domain for reliability, control, and power quality (PQ) for electric vehicle (EV) charging. A primary feeder on the Microgrid is connected to a nanogrid test bed that includes PV as power source, a battery energy storage system (BESS), smart-inverter multiple and EV charging stations (EVCS). The control algorithms are graded on four metrics: (1) voltage profiles, (2) renewable penetration, (3) PV curtailed and (4) net power flows. To investigate the local power quality, a steady-state power flow model of the nano-grid is created. The control algorithms successfully employ the battery to shift the nano-grid peak load while limiting the nano-grid demand to set level. Furthermore, an increasing emphasis is being placed on commonly used strategies for addressing the characteristics of each renewable system. This review paper characterizes the dynamic operation of 4 distinct BESS control algorithms for solar EV charging nanogrid: (1) peak load shifting, (2) reduce peak period impact, (3) cap demand, and (4) photovoltaic capture. These control modes are executed and analyzed on real-world nano-grid site, and optimal BESS control modes are assessed in terms of (1) solar electric vehicle charging, (2) power quality, (3) grid net demand, (4) photovoltaic curtailment, and (5) solar penetration. Finally, the problems highlight research gaps, and discussions on future trends are critical for enhancing the general technology of the renewable solar photovoltaic nano-grid for EV charging.

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Development and Validation of a New Oscillatory Component Load Model For Real-Time Estimation of Dynamic Load Model Parameters

Cited by 21 publications

References 28 publications

Review of Control Strategies for DC Nano-Grid

Review of Control Strategies for DC Nano-Grid

Definition of Static and Dynamic Load Models for Grid Studies of Electric Vehicles Connected to Fast Charging Stations

Review of electric vehicle (EV) charging using renewable solar photovoltaic (PV) nano grid

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