Statistical Quantification of Voltage Violations in Distribution Networks Penetrated by Small Wind Turbines and Battery Electric Vehicles

Long, Chao; Farrag, Mohamed Emad; Zhou, Chengke; Hepburn, Donald M.

doi:10.1109/tpwrs.2013.2252472

Cited by 14 publications

(20 citation statements)

References 22 publications

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“…The network weather-mode for a sample trial is determined by using the method proposed in Section 2.1.1. In addition, weather conditions other than normal weather can increase the total consumption level at a node by α %, reduce the output of intermittent DG by β %, increase failure rates of equipment by % ϕ , and reduce PHEV charging and discharging levels respectively by 1 γ % and 2 γ %. The electricity consumption of different sector customers can have different levels.…”

Section: The Proposed Approachmentioning

confidence: 99%

Risk of supply insecurity with weather condition‐based operation of plug in hybrid electric vehicles

Jayaweera

Islam

2014

IET Generation, Transmission & Distribution

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Abstract-Plug in Hybrid Electric Vehicles (PHEVs) can be a strategic source to mitigate risk of supply insecurity in an active distribution network. This paper proposes a new methodology to quantify the risk of supply insecurity with weather condition based operation of PHEVs in an active distribution network. The approach divides operating characteristics of PHEVs into charging, discharging, and null. Operation of PHEVs with change in weather conditions, intermittent characteristics of distributed generation, sector customer demand characteristics, and random outages of components are modelled on MarkovChain Monte Carlo simulation. A set of case studies are performed considering distributed operation of PHEVs as oppose to central operation of conventional units. Results suggest that distributed operation of PHEVs can potentially mitigate risk of supply insecurity of moderately stressed networks. Highly stressed networks, which are operated with PHEVs, need supplementary supports from conventional units to mitigate risk of supply insecurity.

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Section: The Proposed Approachmentioning

confidence: 99%

Risk of supply insecurity with weather condition‐based operation of plug in hybrid electric vehicles

Jayaweera

Islam

2014

IET Generation, Transmission & Distribution

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“…The Weibull distribution function is widely used to statistically describe the wind speed distribution, e.g., [21,22]. The statistical SWT model used in [13] is employed in this work. All wind speed data at a specific time of the day is differentiated into discrete values.…”

Section: Swt Output Power Modellingmentioning

confidence: 99%

“…In addition, calculation using the means of all input variables is carried out considering the corresponding weighting factor. In the sequence, the for the nth half-hour ( ) is obtained by nine simulation-runs and the calculation using Equation (13). The system repeats this process for every time step until it finishes the simulation for the last half-hour of the day.…”

Section: Overall Calculation Proceduresmentioning

confidence: 99%

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Point Estimate Method for Voltage Unbalance Evaluation in Residential Distribution Networks with High Penetration of Small Wind Turbines

et al. 2014

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Abstract:Voltage unbalance (VU) in residential distribution networks (RDNs) is mainly caused by load unbalance in three phases, resulting from network configuration and load-variations. The increasing penetration of distributed generation devices, such as small wind turbines (SWTs), and their uneven distribution over the three phases have introduced difficulties in evaluating possible VU. This paper aims to provide a three-phase probabilistic power flow method, point estimate method to evaluate the VU. This method, considering the randomness of load switching in customers' homes and time-variation in wind speed, is shown to be capable of providing a global picture of a network's VU degree so that it can be used for fast evaluation. Applying the 2m + 1 scheme of the proposed method to a generic UK distribution network shows that a balanced SWT penetration over three phases reduces the VU of a RDN. Greater unbalance in SWT penetration results in higher voltage unbalance factor (VUF), and cause VUF in excess of the UK statutory limit of 1.3%.

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“…Such power turbines have their own characteristics and operation modes. Consequently, several challenges arise concerning their impacts on the power system profile regarding the power quality issues [6,7].…”

Section: Introductionmentioning

confidence: 99%

Power Quality Investigation of Distribution Networks Embedded Wind Turbines

El-Sherif

Fetouh

Shaaban

2016

Journal of Wind Energy

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In recent years a multitude of events have created a new environment for the electric power infrastructure. The presence of smallscale generation near load spots is becoming common especially with the advent of renewable energy sources such as wind power energy. This type of generation is known as distributed generation (DG). The expansion of the distributed generators-(DGs-) based wind energy raises constraints on the distribution networks operation and power quality issues: voltage sag, voltage swell, voltage interruption, harmonic contents, flickering, frequency deviation, unbalance, and so forth. Consequently, the public distribution network conception and connection studies evolve in order to keep the distribution system operating in optimal conditions. In this paper, a comprehensive power quality investigation of a distribution system with embedded wind turbines has been carried out. This investigation is carried out in a comparison aspect between the conventional synchronous generators, as DGs are widely in use at present, and the different wind turbines technologies, which represent the foresightedness of the DGs. The obtained results are discussed with the IEC 61400-21 standard for testing and assessing power quality characteristics of grid-connected wind energy and the IEEE 1547-2003 standard for interconnecting distributed resources with electric power systems.

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Statistical Quantification of Voltage Violations in Distribution Networks Penetrated by Small Wind Turbines and Battery Electric Vehicles

Cited by 14 publications

References 22 publications

Risk of supply insecurity with weather condition‐based operation of plug in hybrid electric vehicles

Risk of supply insecurity with weather condition‐based operation of plug in hybrid electric vehicles

Point Estimate Method for Voltage Unbalance Evaluation in Residential Distribution Networks with High Penetration of Small Wind Turbines

Power Quality Investigation of Distribution Networks Embedded Wind Turbines

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