Optimal allocation of PHEV parking lots to minimize distribution system losses

Mazidi, Mohsen; Abbaspour, Ali; Fotuhi‐Firuzabad, Mahmud; Rastegar, Mohamamd

doi:10.1109/ptc.2015.7232618

Cited by 11 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, the power grid is prone to failure if several EVs are charged simultaneously; thus, it is essential to schedule EV charging processes properly [24,25]. With increasing EV penetration and a higher number of DCFC connected to power grids, modifying the existing power grid infrastructure required significant investments [19] and [26]. Therefore, a high number of FCSs is not possible to be provided with the current power grid.…”

Section: B Benefits Of Mcsmentioning

confidence: 99%

A Literature Review on Mobile Charging Station Technology for Electric Vehicles

Afshar,

Macedo,

Mohamed

et al. 2020

Preprint

View full text Add to dashboard Cite

While Electric vehicles (EVs) adoption is accelerating in an unprecedented way, lacking EV charging infrastructure hinders the development of the EV market. To compensate for these shortcomings, Mobile Charging Stations (MCS) could play a prominent role to accelerate EV penetration by providing charging services with no restrictions on the location and time of the charging process. This paper disseminates information on other papers and technical reports on MCS in the literature. It also discusses the benefits of MCS, its challenges, and finally introduces the research gaps in this area.

show abstract

Section: B Benefits Of Mcsmentioning

confidence: 99%

A Literature Review on Mobile Charging Station Technology for Electric Vehicles

Afshar,

Macedo,

Mohamed

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The load impact (increment/decrement) in term of percentage is given by Eq. (40). Likewise, the number of satisfied EVs can be computed according to the total number of arrived EVs and the number of unsatisfied EVs.…”

Section: Problem Formulation and The Proposed Algorithmmentioning

confidence: 99%

“…The open source java libraries jFuzzyLogic with an application programming interface (API) plugins framework developed for Eclipse software is utilized for the decision of each EV [39]. Mostly the parking hours are between 7:00 AM∼7:00 PM [40]. Therefore, the total simulation time T max = P T for scheduling is T = 12 hours, and each time slot is sampled with 15 minutes time interval t. This gives us a total number of time slots as T max = T t = 48.…”

Section: A Simulation Settingmentioning

confidence: 99%

Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot

2019

View full text Add to dashboard Cite

Smart grid is expected to support electric vehicles parking lots with the existing power line infrastructure. In order to support all electric-vehicles (EVs) users to complete their charging needs before leaving the parking lot, the power grid requires that the charging demands of EVs should be within the allowable power limit to avoid the grid overloading. This paper proposes a fuzzy logic inference based algorithm (FLIA) to manage the available power efficiently for EVs in the parking lot. The problem is mathematically formulated and solved by the credibility of the fuzzy inference mechanism to control charging and discharging of the EVs. The key idea is to introduce the fuzzy inference mechanism that evaluates several uncertain input parameters from the electric grid and from EVs to obtain an adequately accurate charging or discharging decision for each of the connected EVs. The proposed scheme is applied to a parking lot with different parking capacities and compared with the conventional-based systems. The simulation results demonstrated the feasibility and effectiveness of the proposed algorithm when dealing with the available power management and satisfying the EV user's requirements. INDEX TERMS Electric vehicles, fast charging stations, fuzzy logic inference, parking lot, power management.

show abstract

“…Once the EVs are accurately modeled, their effects on distribution systems can be analyzed. Some researchers in [30][31][32][33][34] evaluate solutions for power quality problem with EVs. In this work, we model optimal charging and discharging and evaluate the best location for power quality.…”

Section: Introductionmentioning

confidence: 99%

“…Shahnia et al [32] considered voltage profile. Using a genetic algorithm, the proper place for EV parking lots and optimum capacity for each parking were found to reduce the power loss in [33]. In [34], charging coordination is done based on the line flow limits and power loss.…”

Section: Introductionmentioning

confidence: 99%

Resilient Stochastic Control Strategies in Cyber-Physical Microgrids

Khalghani¹

View full text Add to dashboard Cite

Microgrids can locally fulfill the demand and operate isolated from the main grid to sustain critical services even in case of large-scale outages and cascading power failures. Microgrids are the integration of a large number of distributed energy resources in a decentralized way such that the energy supply reliability and resiliency are enhanced against natural disasters, physical and cyber disruptions. This dissertation focuses on three main challenges regarding technologies emerging in microgrids. 1) According to the fast growing number of Electric Vehicles (EV) deployment, their impacts on microgrids resulted from their uncertain behaviors are new concerns for the microgrid operators. These concerns can be EV charging and discharging schedule and locations of EV parking-lots in the system which are considered and solved using stochastic modeling and optimization algorithms based on Artificial Intelligence (AI) techniques. First, charging and discharging scheduling of EVs is minimized using Particle Swarm Optimization (PSO) Algorithm such that the daily load profile is flattened (peak and off-peak shaving) with considering constraints of State-Of-Charging (SoC). Due to the uncertain nature of daily travelling EVs between residential and administrative areas, chronological stochastic modeling is suggested. Furthermore, a multi-objective optimization based on PSO and fuzzification theory is proposed to find the best location of parking lots for these EV aggregators. Two indices, voltage unbalance and power loss, for locating the EV aggregators are considered. During peak hour, these indices can be more critical for a three-phase distribution system. 2) As the penetration of renewable energies, generally, uncertainties, increase in microgrids, a more dynamic and complex system is emerging that makes frequency control of the islanded microgrid more challenging due to stochastic dynamic encumbrances. These stochastic encumbrances can create oscillatory frequency response, which eventually leads to astray controls and instability even under primary and traditional secondary controllers. This dissertation develops AI-based and analytical based secondary control for the islanded microgrids to compensate for the frequency deviation in the presence of intermittent energy resources and uncertain load changes. Two types of artificial I wish to express my deep and sincere gratitude to my supervisor Prof. Jignesh Solanki for his guidance, support and encouragement in entire my Ph.D. program. Prof. Jignesh Solanki was always there to patiently listen and to give valuable advice. I will not forget his great feedback for enhancing my research presentation skills. Besides my supervisor, I cannot begin to express my thanks to Prof. Sarika Khushalani Solanki for participating in lengthy discussions to perfectly align my research and present my accomplishments. She has been very supportive and sympathetic in both my professional and daily lives. Working under these two great professors was a golden opportunity for me to leverage a...

show abstract

Optimal allocation of PHEV parking lots to minimize distribution system losses

Cited by 11 publications

References 8 publications

A Literature Review on Mobile Charging Station Technology for Electric Vehicles

A Literature Review on Mobile Charging Station Technology for Electric Vehicles

Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot

Resilient Stochastic Control Strategies in Cyber-Physical Microgrids

Contact Info

Product

Resources

About