Interference and power management algorithm for D2D communications underlay 5G cellular network

Abstract The present study sought to address the scheduling of the grid-connected hybrid energy resources under uncertainty of renewable sources, and load in the residential sector. After introducing hybrid resources, scheduling model was implemented through a power management algorithm in an attempt to optimize resource cost, emissions, and energy not supplied (ENS). The stated problem consists of two decision-making layers with different weight coefficients based on the prioritization of each objective function. The proposed algorithm is selected for energy optimal management based on technical constraints of the dispatchable and non-dispatchable resources, uncertainty parameters and day ahead real time pricing (RTP). Furthermore, the impact of demand response programs (DRP) on the given algorithm was investigated using load shedding and load shifting techniques. Finally, the results obtained led to the optimization of the functions in all decision-making layers with different modes of operation.

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A Novel Energy-Efficient Power Allocation for D2D Communications Underlaying Cellular Network

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) ◽

10.1109/wcsp.2019.8927988 ◽

2019 ◽

Author(s):

Ruilu Chen ◽

Fengfeng Shi ◽

Chunming Zhao

Keyword(s):

Power Allocation ◽

Energy Efficient ◽

Cellular Network ◽

D2d Communications ◽

Efficient Power

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Power management algorithm for a conservative power theory battery storage based multi‐functional three phase grid connected PV inverter

International Transactions on Electrical Energy Systems ◽

10.1002/2050-7038.12605 ◽

2020 ◽

Vol 30 (11) ◽

Author(s):

Venkata Subrahmanya Raghavendra Var Oruganti ◽

Venkata Samba Sesha Siva Sarma Dhanikonda ◽

Ali Mortezaei ◽

Tiago Davi Curi Busarello ◽

Marcelo Godoy Simões

Keyword(s):

Power Management ◽

Battery Storage ◽

Power Theory ◽

Management Algorithm ◽

Pv Inverter ◽

Three Phase ◽

Conservative Power Theory ◽

Conservative Power

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Fuzzy logic based power management strategy using topographic data for an electric vehicle with a battery-ultracapacitor energy storage

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ◽

10.1108/compel-11-2013-0388 ◽

2015 ◽

Vol 34 (1) ◽

pp. 173-188 ◽

Cited By ~ 20

Author(s):

Marek Michalczuk ◽

Bartlomiej Ufnalski ◽

Lech M. Grzesiak

Keyword(s):

Energy Source ◽

Fuzzy Logic ◽

Energy Storage ◽

Electric Vehicle ◽

Power Management ◽

Management Strategy ◽

Content Type ◽

Hybrid Energy ◽

Management Algorithm ◽

Power Management Strategy

Purpose – The purpose of this paper is to provide high-efficiency and high-power hybrid energy source for an urban electric vehicle. A power management strategy based on fuzzy logic has been introduced for battery-ultracapacitor (UC) energy storage. Design/methodology/approach – The paper describes the design and construction of on-board hybrid source. The proposed energy storage system consists of battery, UCs and two DC/DC interleaved converters interfacing both storages. A fuzzy-logic controller (FLC) for the hybrid energy source is developed and discussed. Control structure has been tested using a non-mobile experimental setup. Findings – The hybrid energy storage ensures high-power ability. Flexibility and robustness offered by the FLC give an easy accessible method to provide a power management algorithm extended with additional input information from road infrastructure or other vehicles. In the presented research, it was examined that using information related to the topography of the road in the control structure helps to improve hybrid storage performance. Research limitations/implications – The proposed control algorithm is about to be validated also in an experimental car. Originality/value – Exploratory studies have been provided to investigate the benefits of energy storage hybridization for electric vehicle. Simulation and experimental results confirm that the combination of lithium batteries and UCs improves performance and reliability of the energy source. To reduce power impulses drawn from the battery, power management algorithm takes into consideration information on slope of a terrain.

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