Multilayer communication network architecture for wind power farm

Hussain, Shahid; Kim, Young-Chon

doi:10.1109/camad.2014.7033215

Cited by 9 publications

(2 citation statements)

References 10 publications

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“…The proposed charging cost optimization algorithm (CCOA) considered various factors such as driving habits (i.e., arrival and departure times), battery characteristics (i.e., SoC and battery capacity), and real-time electricity market price pattern along with a proper communication network system [12][13][14]. An EV initiates a charging request after being plugged into the charging station.…”

Section: Introductionmentioning

confidence: 99%

A Heuristic Charging Cost Optimization Algorithm for Residential Charging of Electric Vehicles

et al. 2022

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The charging loads of electric vehicles (EVs) at residential premises are controlled through a tariff system based on fixed timing. The conventional tariff system presents the herding issue, such as with many connected EVs, all of them are directed to charge during the same off-peak period, which results in overloading the power grid and high charging costs. Besides, the random nature of EV users restricts them from following fixed charging times. Consequently, the real-time pricing scenarios are natural and can support optimizing the charging load and cost for EV users. This paper aims to develop charging cost optimization algorithm (CCOA) for residential charging of EVs. The proposed CCOA coordinates the charging of EVs by heuristically learning the real-time price pattern and the EV’s information, such as the battery size, current state-of-charge, and arrival & departure times. In contrast to the holistic price, the CCOA determines a threshold price value for each arrival and departure sequence of EVs and accordingly coordinates the charging process with optimizing the cost at each scheduling period. The charging cost is captured at the end of each charging activity and the cumulative cost is calculated until the battery’s desired capacity. Various charging scenarios for individual and aggregated EVs with random arrival sequences of EVs against the real-time price pattern are simulated through MATLAB. The simulation results show that the proposed algorithm outperforms with a low charging cost while avoiding the overloading of the grid compared to the conventional uncoordinated, flat-rate, and time-of-use systems.

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Section: Introductionmentioning

confidence: 99%

A Heuristic Charging Cost Optimization Algorithm for Residential Charging of Electric Vehicles

et al. 2022

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“…Recently, the option of using Faster-than-Nyquist (FTN) signals in DVB-S2X satellite application systems have been actively considered [7][8][9][10][11]. Typically, FTN signals are formed with the use of filtering method.…”

Section: Introductionmentioning

confidence: 99%

A Reduction of Peak-to-Average Power Ratio Based Faster-Than-Nyquist Quadrature Signals for Satellite Communication

et al. 2021

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The increase in the throughput of digital television and radio broadcasting (DVB) channels can be achieved due to application of signals with a compact spectrum and a relatively small peak-to-average power ratio (PAPR). The reason is the usage of traveling wave tubes (TWT) for amplifying and transmitting signals from a satellite repeater in DVB-S2X systems. At the same time, given that the bandwidth allocated for transmission should be used as efficiently as possible, a high reduction rate of out-of-band emissions level is required. The most effective solution in this direction is the transition to spectrum-economic signals, such as optimal Faster-Than-Nyquist (FTN) signals, which can provide a certain reduction rate of the out-of-band emissions level and minimum acceptable PAPR. This article proposes a method for obtaining optimal FTN pulses, which have symmetry in time domain, with specified PAPR and reduction rate of out-of-band emissions for the quadrature phase shift keying (QPSK) and offset quadrature phase shift keying (OQPSK). The possibility of synthesizing signals with OQPSK modulation is presented theoretically for the first time. Optimal FTN signals can provide PAPR reduction by at most 3 dB and outperform known root raised cosine (RRC) pulses. The simulation model adopts an architecture for quadrature generation of optimal FTN signals with OQPSK modulation with blocks for adjustable pre-amplification, clipping, and power amplification. The proposed signals can be used to increase the spectral and energy efficiencies of satellite broadcasting systems, such as DVB-S2/S2X, as well as low-rate return channels of interactive broadcasting systems with a frequency resource shortage.

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Simulation Studies of Reconfigurable Communication Network for Southwest Offshore Wind Farm South Korea

Hussain

Kim

Jan

et al. 2019

2019 2nd International Conference on Communication, Computing and Digital Systems (C-Code)

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Multilayer communication network architecture for wind power farm

Cited by 9 publications

References 10 publications

A Heuristic Charging Cost Optimization Algorithm for Residential Charging of Electric Vehicles

A Heuristic Charging Cost Optimization Algorithm for Residential Charging of Electric Vehicles

A Reduction of Peak-to-Average Power Ratio Based Faster-Than-Nyquist Quadrature Signals for Satellite Communication

Simulation Studies of Reconfigurable Communication Network for Southwest Offshore Wind Farm South Korea

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