Research of interactive charging strategy for electrical vehicles in smart grids

Han, Hua; Xu, Haiping; Yuan, Zengquan

doi:10.1109/icems.2011.6073711

Cited by 7 publications

(6 citation statements)

References 4 publications

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“…According to the voltage level, that can be classified into residential power users (less than 1/10 kV) and large-scale industrial power users. According to the electricity price, that can be classified into industrial users, agricultural users, commercial users, residential users [23,24]. According to the merchandising locations and channels, that can be classified into direct supply, wholesale, urban and rural users.…”

Section: B Power Users Classificationmentioning

confidence: 99%

Optimized Information Transmission Scheduling Strategy Oriented to Advanced Metering Infrastructure

Tong

Jin²,

2013

JNW

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Advanced metering infrastructure (AMI) is considered to be the first step in constructing smart grid. AMI allows customers to make real-time choices about power utilization and enables power utilities to increase the effectiveness of the regional power grids by managing demand load during peak times and reducing unneeded power generation. These initiatives rely heavily on the prompt information transmission inside AMI. Aiming at the information transmission problem, this paper researches the communication scheduling strategy in AMI at a macroscopic view. First, the information flow of AMI is analyzed, and the power users are classified into several grades by their importance. Then, the defect of conventional information transmission scheduling strategy is analyzed. On this basis, two optimized scheduling strategies are proposed. In the wide area, an optimized scheduling strategy based on user importance and time critical is proposed to guarantee the important power users’ information transmission being handled promptly. In the local area, an optimized scheduling strategy based on device and information importance and time critical is proposed to guarantee the important devices and information in AMI user end system being handled promptly. At last, the two optimized scheduling strategies are simulated. The simulation results show that they can effectively improve the real-time performance and reliability of AMI information transmission

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Section: B Power Users Classificationmentioning

confidence: 99%

Optimized Information Transmission Scheduling Strategy Oriented to Advanced Metering Infrastructure

Tong

Jin²,

2013

JNW

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“…Şarj esnasında pil sıcaklığını takip ederek uygun bir şarj modeli için PSO (Parçacık Sürü Optimizasyonu) algoritmasını kullanan bir yöntem önerilmiştir [1]. Diğer bir çalışmada maliyeti en aza indirmek için şebeke stabil durumunun artırılmasını ve şarj programının optimizasyonu ile pil şarjı sağlayan bir yöntemden bahsedilmektedir [2]. Ayrıca bulanık kontrol için ara değerli bir FFT (Hızlı Fourier dönüşümü) algoritması denenmiştir.…”

Section: Introductionunclassified

Lityum iyon pillerde bulanık kurallara dayalı optimum şarj stratejisi

Kara

Yücedağ

Doğan

2023

Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Bataryalar elektrik enerjisini elektrokimyasal enerjiye dönüştürerek depolayabilen yapılardır. Şarj akımının ayarlanması bataryalarda önemli bir husustur. Yüksek akımla şarj bataryaların kısa sürede şarj olmasını sağlar. Batarya şarj kapasitesi sıcaklığa ve akıma bağlı olarak değişmektedir. Batarya şarj akım değerini ayarlayan birçok çalışma arasında bulanık mantık kullanan çalışmalar da mevcuttur. Bu çalışmada, Lityum İyon pil şarjında bulanık mantığı kullanan bir yöntem önerilmektedir. Pil yüzey sıcaklığını ve ortam sıcaklığını giriş olarak alan ve çıkış akımını belirleyen bulanık bir denetleyici tasarlanmıştır. Panasonic NCR-18650B Lityum İyon pil üzerinde denemeler yapılmış ve sonuçlar bilgisayara ayarlanabilir akım gerilim cihazı ile aktarılmıştır. 5°C, 23°C ve 36°C ortam sıcaklığında test edilen pilin şarj kapasitesinde sırasıyla % 0,2; 2,5; 1,2 oranında kazanç sağlanmıştır.

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“…Deployment of smart cities is envisioned to constitute an ITS based urban development for optimally managing the city's assets while sustaining a green and clean environment for the citizens [20]. Thus, policymakers as well as R&Ds across the globe have joined the smart city development consortium engaged in employing relevant expertise and funds towards the deployment of transport oriented cities (TOSC).…”

Section: Transport Oriented Smart City (Tosc) Architecturementioning

confidence: 99%

Federated Cloud Analytics Frameworks in Next Generation Transport Oriented Smart Cities (TOSCs) - Applications, Challenges and Future Directions

Hussain¹,

Alam²,

Beg³

2018

EAI Endorsed Transactions on Smart Cities

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Electric, plug-in electric and plug-in hybrid electric vehicles (xEVs) are receiving a global attention from automotive industries, vehicle vendors, R&D organizations, power sectors and policymakers in the intelligent transportation era. Penetration of xEV fleet into the contemporary charging infrastructure(s) in the absence of robust integration network imbalances the power grid and potentially jeopardize the execution of emerging distributed generation systems. However, smart grid technologies in collaboration with smart charging management strategies can circumvent such operational disparities, thus enabling a reliable, efficient, consistent and optimal electric energy management in the power system. This work employs the notion of Cloud of Things (CoT) to propose a comprehensive cloud aware Transport Oriented Smart City (TOSC) framework intended to provide intelligent solutions to the contemporary transportation infrastructures in the emerging sustainable smart cities. The proposed work also demonstrates a commercially viable vehicle to cloud (V2C) fleet charging framework for charging management of xEVs through micro grids/ smart grid. The unprecedented data breeding across V2C, cloud to grid (C2G) and grid to vehicle (G2V) bidirectional communication interfaces elucidates the need for computationally efficient analytics. A state-of-the-art Big-Data to Knowledge (B2K) workflow structure is thus proposed for translating the generated data into efficient knowledge for noble decisions and inferences. Finally, the substantial Mobility as a service (MaaS) adoption challenges and data science prospects are outlined along with the emerging technologies that can co-work with the proposed framework to ensure commercial viability and optimal implementation in emerging TOSCs.

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Research of interactive charging strategy for electrical vehicles in smart grids

Cited by 7 publications

References 4 publications

Optimized Information Transmission Scheduling Strategy Oriented to Advanced Metering Infrastructure

Optimized Information Transmission Scheduling Strategy Oriented to Advanced Metering Infrastructure

Lityum iyon pillerde bulanık kurallara dayalı optimum şarj stratejisi

Federated Cloud Analytics Frameworks in Next Generation Transport Oriented Smart Cities (TOSCs) - Applications, Challenges and Future Directions

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