Transactive Energy Management of PV-Based EV Integrated Parking Lots

Asaad, Mohammad; Zamora, Ramon; Lie, Tek Tjing

doi:10.1109/jsyst.2020.3043327

Cited by 27 publications

(10 citation statements)

References 29 publications

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“…Article [13] has presented a multi-objective optimization framework to demonstrate a conflict between the cost and emission minimization of EV charging. Authors in [14] have proposed a transactive energy management system for EV parking lots equipped with rooftop PV systems to balance the charging demand of EVs with supply. In this paper, the distribution of the arrival and departure time, and SoC of EVs have been assumed to be normally distributed.…”

Section: B Background and Related Workmentioning

confidence: 99%

“…Sh2: In the charging scheduling of EVs, the benefits of EV users, DSO and governments have not been considered simultaneously [10], [11], [14]- [16].…”

Section: Research Gapsmentioning

confidence: 99%

“…Sh4: Only the active power of EVs has been managed and the reactive power exchange between EVs and the network has not been considered [10]- [14].…”

Section: Research Gapsmentioning

confidence: 99%

“…According to (14), the SoC of EVs at each time step should be lower than SOC U and upper than SOC L , respectively.…”

Section: B Evs and Parking Lots Constraintsmentioning

confidence: 99%

See 3 more Smart Citations

Overarching Sustainable Energy Management of PV Integrated EV Parking Lots in Reconfigurable Microgrids Using Generative Adversarial Networks

Madahi

Kamrani

Nafisi

2022

IEEE Trans. Intell. Transport. Syst.

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In recent years, environmental issues have motivated the wide usage of electric vehicles (EVs) due to their zero tailpipe emission. However, this trend can pose severe challenges to power systems, such as decreasing equipment lifetime. Moreover, the CO 2 emission of EVs is closer to that of internal combustion engine vehicles in some cases due to the carbon footprint of EV charging. Modeling the uncertain nature of EV users' behavior is another obstacle due to the complex dynamics of these uncertainties. To overcome these problems, an overarching day-ahead smart charging method is proposed in this paper from the perspective of distribution system operators (DSOs), EV users, and governments simultaneously. The aim of the proposed method is to minimize the operating cost of microgrids, the degradation cost of EV batteries, and emission cost by scheduling the active and reactive power of EV parking lots integrated with photovoltaic (PV) systems as well as finding the optimum network configuration. Previous model-based methods cannot appropriately model uncertainties in EV users' behavior because of some statistical assumptions. Nevertheless, this paper employs data-driven methods based on generative adversarial networks (GAN) to represent these uncertainties. The performance of the proposed method is evaluated by implementing it on a real reconfigurable microgrid. The results show that using the proposed method, the DSO and emission costs can reduce by 11.96% and 3.37% compared to the uncoordinated charging of EVs, respectively. Furthermore, the share of sustainable energy in EV charging increases by 9% using the proposed method.

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Section: B Background and Related Workmentioning

confidence: 99%

“…Sh2: In the charging scheduling of EVs, the benefits of EV users, DSO and governments have not been considered simultaneously [10], [11], [14]- [16].…”

Section: Research Gapsmentioning

confidence: 99%

“…Sh4: Only the active power of EVs has been managed and the reactive power exchange between EVs and the network has not been considered [10]- [14].…”

Section: Research Gapsmentioning

confidence: 99%

“…According to (14), the SoC of EVs at each time step should be lower than SOC U and upper than SOC L , respectively.…”

Section: B Evs and Parking Lots Constraintsmentioning

confidence: 99%

See 2 more Smart Citations

Overarching Sustainable Energy Management of PV Integrated EV Parking Lots in Reconfigurable Microgrids Using Generative Adversarial Networks

Madahi

Kamrani

Nafisi

2022

IEEE Trans. Intell. Transport. Syst.

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show abstract

“…Masood Et al. [15] present a transactive energy framework for aggregated EV charging in the local market to reduce the system peak load. Besides the peak load, the optimal operation needs to be considered to ensure that the DSO benefits.…”

Section: Introductionmentioning

confidence: 99%

Distributed Electric Vehicle Charging Scheduling with Transactive Energy Management

Chen

2021

Energies

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A distributed electric vehicle (EV) charging scheduling strategy with transactive energy (TE) management is presented in this paper to deal with technical issues in distribution network operation and discuss the economic benefits of EV charging. At an individual EV level, EV owners propose bids to actively participate in the distribution system operation. At the node level, an electric vehicle aggregator (EVA) optimally allocates the available charging power to meet EV charging requirements and cost benefits. At the distribution network level, a distribution system operator (DSO) integrates an electricity price market clearing mechanism with the optimal power flow (OPF) technique to ensure the reliability of the distribution network. Moreover, a distributed algorithm is discussed for solving the EV charging problem with transactive energy management (TEM). The clearing electricity price is achieved through a negotiation process between the DSO and EVAs using the alternating direction method of multipliers (ADMM). The presented EV charging scheduling with TEM is tested on a modified IEEE 33-bus distribution network scenario with 230 EV charging loads. The simulation results demonstrate the effectiveness of the TE-based EV charging scheduling system.

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DNN‐Based EV Scheduling Learning for Transactive Control Framework

Kahraman,

Yang

2024

Microgrids

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Transactive Energy Management of PV-Based EV Integrated Parking Lots

Cited by 27 publications

References 29 publications

Overarching Sustainable Energy Management of PV Integrated EV Parking Lots in Reconfigurable Microgrids Using Generative Adversarial Networks

Overarching Sustainable Energy Management of PV Integrated EV Parking Lots in Reconfigurable Microgrids Using Generative Adversarial Networks

Distributed Electric Vehicle Charging Scheduling with Transactive Energy Management

DNN‐Based EV Scheduling Learning for Transactive Control Framework

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