Reactive power compensation using electric vehicles considering drivers’ reasons

Su, Su; Hu, Yong; Wang, Shidan; Wang, Wei; Ota, Yutaka; Yamashita, Koji; Xia, Mingchao; Nie, Xiaobo; Chen, Lijiang; Mao, Xia

doi:10.1049/iet-gtd.2017.1114

Cited by 18 publications

(6 citation statements)

References 36 publications

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“…A percentage of maximum load capacity, usually up to 5%, was reserved for regulation control through the governor. In case of interconnected IMGs and microgrids, tie-line bias control [24] was employed. This meant that the area control error, ACE, IMGO = ∆P t + B.∆f, and ACE = ∆P t was considered in the load frequency control.…”

Section: Interconnected Industrial Microgrid and Microgridmentioning

confidence: 99%

“…Two levels of frequency regulations are usually attained: primary and secondary regulation. Primary regulation utilizes the generator's governor reaction to fluctuations in the rotor speed to apprehend the frequency fluctuations [24]. The restoration is done in secondary regulation, where the automatic generation control brings the frequency to nominal levels.…”

Section: Introductionmentioning

confidence: 99%

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V2G Strategy for Primary Frequency Control of an Industrial Microgrid Considering the Charging Station Operator

et al. 2020

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Electric vehicles (EVs) have been receiving greater attention as a tool for frequency control due to their fast regulation capability. The proliferation of EVs for primary frequency regulation is hampered by the need to simultaneously maintain industrial microgrids dispatch and EV state of charge levels. The current research aims to examine the operative and dominating role of the charging station operator, along with a vehicle to grid strategy; where, indeterminate tasks are executed in the microgrid without the EVs charging/discharging statistics. The role of the charging station operator in regulation is the assignment of the job inside the primary frequency control capacity of electric vehicles. Real-time rectification of programmed vehicle to grid (V2G) power ensures electric vehicles’ state of charge at the desired levels. The proposed V2G strategy for primary frequency control is validated through the application of a two-area interconnected industrial micro-grid and another microgrids with renewable resources. Regulation specifications are communicated to electric vehicles and charging station operators through an electric vehicle aggregator in the proposed strategy. At the charging station operator, V2G power at the present time is utilized for frequency regulation capacity calculation. Subsequently, the V2G power is dispatched in light of the charging demand and the frequency regulation. Furthermore, V2G control strategies for distribution of regulation requirement to individual EVs are also developed. In summary, the article presents a novel primary frequency control through V2G strategy in an industrial microgrid, involving effective coordination of the charging station operator, EV aggregator, and EV operator.

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Section: Interconnected Industrial Microgrid and Microgridmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

V2G Strategy for Primary Frequency Control of an Industrial Microgrid Considering the Charging Station Operator

et al. 2020

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“…The population density in Chinese metropolis is very large . The scarcity of the private parking spaces makes most EV users to charge their EVs in public areas such as office sites during the daytime . Therefore, the real‐life data of this office site are applied to test the performance of the proposed RMEMS.…”

Section: Case Studymentioning

confidence: 99%

“…With an increase in the amount of EVs integrated into electric energy distribution systems, EV charging will give a negative impact on the original characteristics of electric energy consumption of load point . Due to the randomness of EV users’ travel and charging behaviors, EV charging shows stochastic nature both spatially and temporally, which will aggravate the degree of imbalance of electric energy consumption on three phases and increase the peak–valley difference of load curve in the electric energy distribution system.…”

Section: Introductionmentioning

confidence: 99%

A Real‐Time Multilevel Energy Management Strategy for Electric Vehicle Charging in a Smart Electric Energy Distribution System

He³

et al. 2019

Energy Tech

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The randomness of electric vehicle (EV) charging has negative impacts on three‐phase imbalance and peak–valley difference in electric energy distribution systems. Traditional EV charging strategies have shortcomings: the performance of three‐phase imbalance mitigation may be limited if the grid‐connected EVs are extremely imbalanced on three phases; in addition, the comprehensive regulation of peak–valley difference and three‐phase imbalance is not developed, and the three‐phase imbalance of reactive power is ignored. Therefore, a real‐time multilevel energy management strategy (RMEMS) for EV charging is proposed. A tri‐level optimization model (TOM) is designed as the central system. In upper‐level optimization, the three‐phase selection (TPS) of EVs is optimized to balance active or reactive power consumption on three phases. Based on the results from upper‐level optimization, the charging active power is regulated in middle‐level optimization to reduce the peak–valley difference on each phase. In lower‐level optimization, the reactive power compensated by EV chargers is optimized based on the results from upper‐level and middle‐level optimization to balance the reactive power on three phases. Case studies show that the proposed RMEMS performs well for balancing active and reactive power consumption on three phases, and the peak–valley differences of active power consumption on each phase are all mitigated.

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“…The development of electric vehicles (EVs) with larger batteries will increase both EV chargers and the instances of connecting to the grid for charging [1]. Such an expansion as envisaged in the upcoming years is expected to entail significant problems in the distribution system.…”

Section: Introductionmentioning

confidence: 99%

Start‐up circuit for an electric vehicle fast charger using SSICL technique and a slow estimator

Tashakor

Arabsalmanabadi

Ghanbari

et al. 2020

IET Generation, Transmission & Distribution

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Reactive power compensation using electric vehicles considering drivers’ reasons

Cited by 18 publications

References 36 publications

V2G Strategy for Primary Frequency Control of an Industrial Microgrid Considering the Charging Station Operator

V2G Strategy for Primary Frequency Control of an Industrial Microgrid Considering the Charging Station Operator

A Real‐Time Multilevel Energy Management Strategy for Electric Vehicle Charging in a Smart Electric Energy Distribution System

Start‐up circuit for an electric vehicle fast charger using SSICL technique and a slow estimator

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