A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution networks

Habib, Salman; Khan, Muhammad Mansoor; Abbas, Farukh; Numan, Muhammad; Ali, Yaqoob; Tang, Hansong; Yan, Xiaohui

doi:10.1007/s11708-019-0648-5

Cited by 25 publications

(11 citation statements)

References 32 publications

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“…The parameters in a two-area interconnected system for the model are shown in Tables 2-4. Area control error (ACE) subjected to TBC control method was used for FR signal as indicated in (23). The load fluctuations associated with normal systems of the system are captured through a series of random loads which fluctuate within a given range are connected in both areas A and B.…”

Section: Simulations and Resultsmentioning

confidence: 99%

“…The charge/discharge of the EVs to/from grid can be optimized as per the high/low of electricity price [19][20][21]. FR cost reduction has also been found to improve FR revenue through factors such as battery degradation reduction [22,23]. The satisfaction of EV owners should also be ensured through the maintenance of state of charge (SOC) at maximum possible limits [24,25].…”

Section: Introductionmentioning

confidence: 99%

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Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy

et al. 2022

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This paper presents a novel optimal coordinated strategy for frequency regulation (FR) through electric vehicles (EVs) under variable power system operation states (PSOSs). The methodology ensures a secure and economical operation of the power system through the coordination of the frequency regulation, the power of the electric vehicles and generators with multiple optimization objectives. In the normal state of operation of the power system, the battery degradation cost is taken into account and accordingly the minimum FR cost is utilized as an objective. On the other hand, for abnormal operation, the optimization objective considers the minimum frequency restoration duration. Different scenarios have been investigated to validate the proposed method. The simulation results confirm the usefulness and superior performance of the proposed optimized coordinated control strategy.

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Section: Simulations and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy

et al. 2022

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“…Multiple pieces of research have analyzed the effects and risks of EVs charging on electrical grids. In [8], a stochastic model of EVs charging pattern, including various charging power levels and EV penetration factors, was applied to evaluate the performance requirements of a residential distribution network. The results have confirmed the necessity of understanding the charging configuration to sustain the grid's reliability and stability, especially when considering high charging power levels and prominent penetration factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Dynamic Electricity Tariff and Home PV System Incentives on Electric Vehicle Charging Behavior: Study on Potential Grid Implications and Economic Effects for Households

et al. 2022

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The rapid increase of electric vehicles (EVs) would lead to a rise in load demand on power grids but create different potential benefits as well. Those benefits comprise EVs serving as a mobile energy storage system to participate in adjusting the load on the power grids and helping manage renewable energy resources. This paper evaluates the effect of dynamic electricity prices and home photovoltaic (PV) system incentives on users’ EVs charging behavior and potential impacts on grid load and household economy. This has been done by establishing and assessing three different optimized charging configurations and comparing them to an uncontrolled charging strategy. In this study, the charging incentives are applied to a representative sample of 100 households with EVs and PV systems in a metropolitan area. The results show that an optimized charging strategy based on the dynamic electricity tariff can reduce charging costs by 18.5%, while a PV-based optimized strategy can reduce the costs by 33.7%. Moreover, the PV-integrated optimization strategies significantly increase the utilization of PV energy by almost 46% on average, compared to uncontrolled charging. In addition, the simulations of this research have depicted the capability of using home PV systems’ incentives to smoothen the charging profiles and hence significantly reduce the maximum grid load. However, the electricity price optimization strategy increases the aggregated charging peaks, which can only be slightly reduced by peak shaving. Therefore, an identical price signal for all households might be critical. Further analyses have shown that direct charging occurs simultaneously with household electricity assigned to a specific low-voltage grid while PV and price incentive charging configurations shift the charging peaks away from household load peaks.

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“…(2) signal injection strategy [36]; (3) conventional and variants of the droop control [37][38][39][40][41][42][43] and (4) "construct and compensate"-based schemes [37,39,44]. Integrated control schemes refer to hierarchical structures consists of primary, secondary, and tertiary control [45].…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Distributed Voltage Regulation Scheme for Radial Feeder in Islanded Microgrid

Khan

Habib

et al. 2021

Energies

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Even the simplest version of the distribution networks face challenges such as maintaining load voltage and system frequency stability and at the same time minimizing the circulating reactive power in grid-forming nodes. As the consumers at the far end of the radial distribution network face serious voltage fluctuations and deviations once the load varies. Therefore, this paper presents an enhanced distributed control strategy to restore the load voltage magnitude and to realize power-sharing proportionally in islanded microgrids. This proposed study considers the voltage regulation at the load node as opposed to the inverter terminal. At the same time, a supervisory control layer is put on to observe and correct the load voltage and system frequency deviations. This presented method is aimed at replacing paralleled inverter control methods hitherto used. Stability analysis using system-wide methodical small-signal models, the MATLAB/Simulink, and experimental results obtained with conventional and proposed control schemes verify the effectiveness of the proposed methodology.

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A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution networks

Cited by 25 publications

References 32 publications

Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy

Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy

Impact of Dynamic Electricity Tariff and Home PV System Incentives on Electric Vehicle Charging Behavior: Study on Potential Grid Implications and Economic Effects for Households

An Enhanced Distributed Voltage Regulation Scheme for Radial Feeder in Islanded Microgrid

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