Probabilistic load flow with correlated wind power sources using a frequency and duration method

Zhu, Jinzhou; Zhang, Yan

doi:10.1049/iet-gtd.2018.6530

Cited by 13 publications

(10 citation statements)

References 35 publications

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“…Using the Monte Carlo method [25], the initial charge and discharge time, driving distance, and SOC at the end of the EV are sampled, the charge and discharge power of each time period is simulated, and the total charge and discharge power curve of each time period is obtained. The daily load of charging and discharging electric vehicles for low-voltage industrial and commercial and low-voltage residents is shown in Figure 5a low-voltage residents and Figure 5 blow-voltage industrial and commercial vehicles: As can be seen from Figure 5, in the case of considering V2G, electric private cars in the two periods 08:00-13:00 and 18:00-23:00 [26], according to the remaining battery power and user participation to the grid discharge, after the end of discharge for reasonable charging, in low-voltage residential areas, the reasonable charge and discharge of electric vehicles effectively played a role in peak shaving and valley filling. Additionally, in low-voltage industrial and commercial areas most of the electric vehicles were parked in this area during the day and drove away at night.…”

Section: Simulation Results Analysismentioning

confidence: 99%

An Assessment Method for the Impact of Electric Vehicle Participation in V2G on the Voltage Quality of the Distribution Network

Chen

et al. 2022

Energies

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In order to further evaluate the impact of vehicle-to-grid (V2G) on the distribution network, this paper studies a method to assess the influence of electric vehicles participating in charge and discharge on the voltage quality of the distribution network. First, considering the state of charge of the EV, the participation of the owner and other factors, the charging and discharging model is built. Then, the probabilistic power flow calculation based on Latin hypercube sampling is used to obtain the probability distribution of the voltage amplitude of the charge and discharge load connected to the distribution network, and finally the evaluation index is established to quantify and calculate the voltage quality of the distribution network participating in the V2G process of electric vehicles. Simulation results show that the evaluation method has the advantage of fast calculation speed while ensuring known accuracy, introduces the probability distribution of expected value and variance quantification of voltage amplitude, more intuitively understands the degree of influence on voltage quality before and after V2G, and can effectively assess the impact of electric vehicles accessing the distribution network in V2G mode on the power quality of low-voltage residential areas and industrial and commercial areas, and this evaluation method can provide useful reference for the formulation of future V2G control strategies and the planning of future urban power grids.

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Section: Simulation Results Analysismentioning

confidence: 99%

An Assessment Method for the Impact of Electric Vehicle Participation in V2G on the Voltage Quality of the Distribution Network

Chen

et al. 2022

Energies

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“…Researchers have proposed several techniques to handle ambiguity associated with random variables in power systems [25] , [26] , [27] , [28] , [29] . Prediction of load demand and RES power generation introduce uncertainty in power system operation.…”

Section: Introductionmentioning

confidence: 99%

“…Prediction of load demand and RES power generation introduce uncertainty in power system operation. Researchers have investigated different approaches for modeling and resolving the power system problems probabilistically [ 25 , 26 ]. Authors in [26] have proposed a probabilistic approach for solving optimum power flow in presence of WP uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Assessment of effective reactive power reserve in power system networks under uncertainty applying coronavirus herd immunity optimizer (CHIO) for operation simulation

Rani

Malakar

2023

Electric Power Systems Research

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“…The impact of load on the system can be analyzed by stochastic power flow calculation [20]. Most existing studies use a probabilistic power flow to evaluate the voltage quality problems caused by the grid connection of photovoltaic and wind power sources [21,22]; however, there are few studies of the impact of the charging load on the voltage quality of the distribution network.…”

Section: Introductionmentioning

confidence: 99%

Probability Evaluation of Excess Voltage in a Distribution Network with Uneven Charging Electric Vehicle Load

Chen

Zhang

Pei

2021

J. Electr. Eng. Technol.

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Traditional deterministic power flow analysis does not take into account the randomness of the charging load due to electric vehicles. In order to accurately assess the impact of charging load on the voltage quality of a distribution network, we present a method of evaluating the probability of excessive voltage in a distribution network with an uneven charging electric vehicle load, based on Latin hypercube sampling. First, we establish a probability model of uneven charging load of an electric vehicle, and construct a sample matrix for the uneven charging scenario using Latin hypercube sampling. The dynamic probability distribution of the voltage across the nodes is obtained using a probabilistic power flow calculation and non-parametric kernel density estimation to realize a probability assessment of the voltage quality of the distribution network. Finally, a simulation analysis using an IEEE 30-node system shows that the proposed method is accurate and effective.

show abstract

Probabilistic load flow with correlated wind power sources using a frequency and duration method

Cited by 13 publications

References 35 publications

An Assessment Method for the Impact of Electric Vehicle Participation in V2G on the Voltage Quality of the Distribution Network

An Assessment Method for the Impact of Electric Vehicle Participation in V2G on the Voltage Quality of the Distribution Network

Assessment of effective reactive power reserve in power system networks under uncertainty applying coronavirus herd immunity optimizer (CHIO) for operation simulation

Probability Evaluation of Excess Voltage in a Distribution Network with Uneven Charging Electric Vehicle Load

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