Optimal fixed charge–rate coordination of plug‐in electric vehicle incorporating capacitor and OLTC switching to minimize power loss and voltage deviation

Rahman, Mir Toufikur; Othman, Mohamadariff; Mokhlis, Hazlie; Muhammad, Munir Azam; Bouchekara, Houssem R. E. H.

doi:10.1002/tee.22652

Cited by 9 publications

(12 citation statements)

References 25 publications

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“…• It is used in several research studies [25]- [27], and thus the performance results of the applied strategies are compared to the published results of other schemes. According to Fig.…”

Section: Tested Network and Evs Datamentioning

confidence: 99%

Proposed Ranked Strategy for Technical and Economical Enhancement of EVs Charging With High Penetration Level

et al. 2022

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Car exhaust is one of the most common causes of ozone hole aggravation, electrical vehicles (EVs) represent a promising solution to avoid this problem. Despite the benefits of EVs, their random charging behavior causes some difficulties regarding the electric network performance, such as increased energy losses and voltage deviations. This paper aims to achieve the proper scheduling of the EVs charging process, avoid its negative impacts on the network, and satisfy the EVs users' requirements. The EVs charging process is formulated as an optimization problem and solved using particle swarm optimization. The optimization problem formulation considers the EV arrival and departure times and the state of charge required by the user. Different strategies such as separated, accumulated, and ranked strategies with continuous or interrupted fixed charging have been applied to solve the uncoordinated EVs charging problem. These strategies are extensively tested on the modified IEEE 31 bus system (499-node network), using the combination of both Open DSS and MATLAB m-files. The simulation results confirm the effectiveness of the proposed accumulated ranked strategy with interrupted fixed charging in improving the overall power system performance. The achieved improvements include minimizing: the peak power consumed, the peak power losses, and the voltage drop. Moreover, the cost of the EVs charging in most of the feeders has been decreased to a satisfying value. A comparison between the proposed strategy and some previously reported strategies has been performed to ensure the technical and economic enhancement of the proposed strategy.INDEX TERMS Charging cost, coordinated charging, electric vehicles (EVs), fixed charging, and multiobjective optimization.

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“…• It is used in several research studies [25]- [27], and thus the performance results of the applied strategies are compared to the published results of other schemes. According to Fig.…”

Section: Tested Network and Evs Datamentioning

confidence: 99%

Proposed Ranked Strategy for Technical and Economical Enhancement of EVs Charging With High Penetration Level

et al. 2022

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“…The ratio of the number of turns can be changed without breaking the circuit. However, because of higher maintenance costs and reduction of life expectancy the daily number of switching operation is limited by a constraint [15].This constraint is defined as Eq. ( 9):…”

Section: Network Constraintsmentioning

confidence: 99%

A Review on Electric Vehicles Charging Strategies Concerning Actors Interests

Sabzi

Vajta

Faghihi

2022

Period. Polytech. Elec. Eng. Comp. Sci.

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Electric vehicles are becoming increasingly popular in societies and an important part of smart grids. Utility companies should be able to provide them with vital energy as they need electric energy instead of fuel, and this is where new challenges emerge in the network. In order to avoid causing utilities to incur additional energy and economic losses, researchers have proposed smart charging as a way to provide adequate energy to vehicles. When developing a charging schedule for a fleet of EVs, special considerations are made on variables such as energy, cost, and EVs milage. In this review paper, the importance of EVs integration into smart grids is studied, and then different methods to develop EVs charging scheduling are investigated. These methods can vary from optimization algorithms to learning-based, and game theory-based approaches. Then, as the considered system consists of three main actors, including EV users, the utility operator, and aggregators, a systematic review is conducted on these actors, and objectives related to each one are analyzed. Finally, research gaps related to the problem are studied. Researchers can use this review to conduct further research on the integration of EVs into smart grids.

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“…There were different proposed methods that can be categorized into analytical methods, numerical programming methods, heuristic methods, and artificial intelligence methods [24]. In this research, the number of capacitors, their corresponding location, and capacitances were taken from [25]. The system was also comprised of five capacitors at bus numbers 4, 14, 16, 20, and 27.…”

Section: Capacitormentioning

confidence: 99%

Optimal Scheduling of Plug-in Electric Vehicle Charging Including Time-of-Use Tariff to Minimize Cost and System Stress

et al. 2019

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Technological advancement, environmental concerns, and social factors have made plug-in electric vehicles (PEVs) popular and attractive vehicles. Such a trend has caused major impacts to electrical distribution systems in terms of efficiency, stability, and reliability. Moreover, excessive power loss, severe voltage deviation, transformer overload, and system blackouts will happen if PEV charging activities are not coordinated well. This paper presents an optimal charging coordination method for a random arrival of PEVs in a residential distribution network with minimum power loss and voltage deviation. The method also incorporates capacitor switching and on-load tap changer adjustment for further improvement of the voltage profile. The meta-heuristic methods, binary particle swarm optimization (BPSO) and binary grey wolf optimization (BGWO), are employed in this paper. The proposed method considers a time-of-use (ToU) electricity tariff such that PEV users will get more benefits. The random PEV arrival is considered based on the driving pattern of four different regions. To demonstrate the effectiveness of the proposed method, comprehensive analysis is conducted using a modified of IEEE 31 bus system with three different PEV penetrations. The results indicate a promising outcome in terms of cost and the distribution system stress minimization.

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Optimal fixed charge–rate coordination of plug‐in electric vehicle incorporating capacitor and OLTC switching to minimize power loss and voltage deviation

Cited by 9 publications

References 25 publications

Proposed Ranked Strategy for Technical and Economical Enhancement of EVs Charging With High Penetration Level

Proposed Ranked Strategy for Technical and Economical Enhancement of EVs Charging With High Penetration Level

A Review on Electric Vehicles Charging Strategies Concerning Actors Interests

Optimal Scheduling of Plug-in Electric Vehicle Charging Including Time-of-Use Tariff to Minimize Cost and System Stress

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