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Learning-based user association and dynamic resource allocation in multi-connectivity enabled unmanned aerial vehicle networks

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Digital Communications and Networks 2024年第1期10卷 53-62页

作者： Zhipeng Cheng Minghui Liwang Ning Chen Lianfen Huang Nadra Guizani Xiaojiang Du department of Information and Communication engineering Xiamen UniversityXiamen361005China School of electrical and Computer engineering University of Texas at ArlingtonArlingtonTX7619USA department of electrical and Computer engineering Stevens Institute of TechnologyHobokenNJ07030USA

Unmanned Aerial Vehicles(UAvs)as aerial base stations to provide communication services for ground users is a flexible and cost-effective paradigm in B5G.Besides,dynamic resource allocation and multi-connectivity can be adopted to further harness the potentials of UAVs in improving communication capacity,in such situations such that the interference among users becomes a pivotal disincentive requiring effective solutions.To this end,we investigate the Joint UAV-User Association,Channel Allocation,and transmission Power Control(J-UACAPC)problem in a multi-connectivity-enabled UAV network with constrained backhaul links,where each UAV can determine the reusable channels and transmission power to serve the selected ground users.The goal was to mitigate co-channel interference while maximizing long-term system utility.The problem was modeled as a cooperative stochastic game with hybrid discrete-continuous action space.A Multi-Agent Hybrid Deep Reinforcement Learning(MAHDRL)algorithm was proposed to address this problem.Extensive simulation results demonstrated the effectiveness of the proposed algorithm and showed that it has a higher system utility than the baseline methods.

关键词： UAV-user association Multi-connectivity Resource allocation Power control Multi-agent deep reinforcement learning

Stability Analysis of DC Microgrid Clusters Based on Step-by-step System Matrix Building Algorithm

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 900-912页

作者： K.Jithin N.Mayadevi R.Hari Kumar V.P.Mini IEEE the department of electrical engineering College of Engineering Trivandrum APJ Abdul Kalam Technological University (APJAKTU) Senior Member

DC microgrids(DCMGs) are made up of a network of sources and loads that are connected by a number of power electronic converters(PECs). The increase in the number of these PECs instigates major concerns in system stability. While interconnecting the microgrids to form a cluster, the system stability must be ensured. This paper proposes a novel stepby-step system matrix building(SMB) algorithm to update the system matrix of an existing DCMG cluster when a new microgrid is added to the cluster through a distribution line. The stability of the individual DCMGs and the DCMG cluster is analyzed using the eigenvalue method. Further, the particle swarm optimization(PSO) algorithm is used to retune the controller gains if the newly formed cluster is not stable. The simulation of the DCMG cluster is carried out in MATLAB/Simulink environment to test the proposed algorithm. The results are also validated using the OP4510 real-time simulator(RTS).

关键词： Power system stability Stability criteria Microgrids Transfer functions Clustering algorithms Voltage control Eigenvalues and eigenfunctions

Efficient energy harvesting from PV Panel with reinforced hydrophilic nano-materials for eco-buildings

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Energy and Built Environment

Energy and Built Environment 2024年第3期5卷 393-403页

作者： Ahmed Elnozahy Heba Abd-Elbary Farag K.Abo-Elyousr department of electrical engineering Faculty of EngineeringAssiut UniversityAssiut 71516Egypt

The main target of this research is to allow solar PV to contribute economically to an on-grid energy-efficient building where the dust accumulation is a significant factor.Self-cleaning coatings such as hydrophobic or hy-drophilic materials have recently been introduced to reduce dust deposition on building-integrated PV(BIPV)panels.The hydrophilic Nano-coated material is examined as a solution to decrease the impact of the dust on the BIPV panels and harvest more solar energy.An impartial comparison of the BIPV panels performance under natu-ral dust conditions,manual cleaning,and hydrophilic nanomaterial coating is performed.Through an exhaustive and qualitative experimental analysis,the anti-reflection and anti-static properties of the utilized Nano-coated material are examined.The experimental results show that the hydrophilic Nano-coated material significantly improves the gathered maximum output power by 18%compared to the manually wiped panel.The calculated efficiencies of the Nano-coated,manual cleaning,and dusty panels are 11%,9%,and 6%,respectively,which highlights the futureproofing of the Nano-coated solar panel.Compared to the dusty panels,the ecological and economical results show that the BIPV carbon emissions are desirably dropped by 11%while using Nano-coated PV panels and the payback period is reduced to 3.9 years,which is approximately 12.8%faster.

关键词： Hydrophilic Self-cleaning BIPV panels Nano-coating Techno-economic

SmartMicro Grid Energy System Management Based on Optimum Running Cost for Rural Communities in Rwanda

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Energy engineering 2024年第7期121卷 1805-1821页

作者： Fabien Mukundufite Jean Marie Vianney Bikorimana Alexander Kyaruzi Lugatona electrical and Electronic engineering department University of RwandaKigaliRwanda electrical engineering department University of Dar es SalaamDar es SalaamTanzania

The governmental electric utility and the private sector are joining hands to meet the target of electrifying all households by 2024.However,the aforementioned goal is challenged by households that are scattered in remote areas.So far,Solar Home Systems(SHS)have mostly been applied to increase electricity access in rural areas.SHSs have continuous constraints to meet electricity demands and cannot run income-generating activities.The current research presents the feasibility study of electrifying Remera village with the smart microgrid as a case study.The renewable energy resources available in Remera are the key sources of electricity in that village.The generation capacity is estimated based on the load profile.The microgrid configurations are simulated with HOMER,and the genetic algorithm is used to analyze the optimum cost.By analyzing the impact of operation and maintenance costs,the results show that the absence of subsidies increases the levelized cost of electricity(COE)five times greater than the electricity price from the public utility.The microgrid made up of PV,diesel generator,and batteries proved to be the most viable solution and ensured continuous power supply to customers.By considering the subsidies,COE reaches 0.186$/kWh,a competitive price with electricity from public utilities in Rwanda.

关键词： Load demand load profile optimum running cost power demand satisfaction smart meters and smart micro grid

MEMS-actuated terahertz metamaterials driven by phase-transition materials

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Frontiers of Optoelectronics 2024年第2期17卷 23-32页

作者： Zhixiang Huang Weipeng Wu Eric Herrmann Ke Ma Zizwe A.Chase Thomas A.Searles M.Benjamin Jungfleisch Xi Wang department of Materials Science and engineering College of EngineeringUniversity of DelawareNewarkDE 19716USA department of Physics and Astronomy College of Arts and SciencesUniversity of DelawareNewarkDE 19716USA department of electrical and Computer engineering College of EngineeringUniversity of Illinois ChicagoChicagoIL 60607USA

The non-ionizing and penetrative characteristics of terahertz(THz)radiation have recently led to its adoption across a variety of applications.To effectively utilize THz radiation,modulators with precise control are imperative.While most recent THz modulators manipulate the amplitude,frequency,or phase of incident THz radiation,considerably less progress has been made toward THz polarization modulation.Conventional methods for polarization control suffer from high driving voltages,restricted modulation depth,and narrow band capabilities,which hinder device performance and broader applications.Consequently,an ideal THz modulator that offers high modulation depth along with ease of processing and operation is required.In this paper,we propose and realize a THz metamaterial comprised of microelectromechanical systems(MEMS)actuated by the phase-transition material vanadium dioxide(VO_(2)).Simulation and experimental results of the three-dimensional metamaterials show that by leveraging the unique phase-transition attributes of VO_(2),our THz polarization modulator offers notable advancements over existing designs,including broad operation spectrum,high modulation depth,ease of fabrication,ease of operation condition,and continuous modulation capabilities.These enhanced features make the system a viable candidate for a range of THz applications,including telecommunications,imaging,and radar systems.

关键词： Metamaterials MEMS THz VO_(2) Phase-transition material

Communication Resources Allocation for Time Delay Reduction of Frequency Regulation Service in High Renewable Penetrated Power System

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 468-480页

作者： Hongjie He Ning Zhang Chongqing Kang Song Ci Fei Teng Goran Strbac State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China department of electrical and Electronic engineering Imperial College LondonSW72BULondonU.K

The high renewable penetrated power system has severe frequency regulation problems.Distributed resources can provide frequency regulation services but are limited by com-munication time delay.This paper proposes a communication resources allocation model to reduce communication time delay in frequency regulation service.Communication device resources and wireless spectrum resources are allocated to distributed resources when they participate in frequency regulation.We reveal impact of communication resources allocation on time delay reduction and frequency regulation performance.Besides,we study communication resources allocation solution in high renewable energy penetrated power systems.We provide a case study based on the HRP-38 system.Results show communication time delay decreases distributed resources'ability to provide frequency regulation service.On the other hand,allocating more communication resources to distributed resources'communica-tion services improves their frequency regulation performance.For power systems with renewable energy penetration above 70%,required communications resources are about five times as many as 30%renewable energy penetrated power systems to keep frequency performance the same.Index Terms-Communication resources allocation,commun-ication time delay,distributed resource,frequency regulation,high renewable energy penetrated power system.

关键词： Communication resources allocation communication time delay distributed resource frequency regulation high renewable energy penetrated power system

Hierarchical Control Strategy for Load Regulation Based on Stackelberg Game Theory Considering Randomness

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 929-941页

作者： Tingyu Jiang Ping Ju C.Y.Chung Yuzhong Gong College of Energy and electrical engineering Hohai UniversityNanjing 211100China department of electrical engineering City University of Hong KongHong Kong CF624China department of electrical and Computer engineering University of SaskatchewanSaskatoonSK S7N 5A9Canada CSEE IEEE

Demand response has been recognized as a valuable functionality of power systems for mitigating power imbalances.This paper proposes a hierarchical control strategy among the distribution system operator(DSO),load aggregators(LAs),and thermostatically controlled loads(TCLs);the strategy includes a scheduling layer and an executive layer to provide load regulation.In the scheduling layer,the DSO(leader)offers compensation price(CP)strategies,and the LAs(followers)respond to CP strategies with available regulation power(ARP)strategies.Profits of the DSO and LAs are modeled according to their behaviors during the load regulation process.Stackelberg game is adopted to capture interactions among the players and leader and to obtain the optimal strategy for each participant to achieve utility.Moreover,considering inevitable random factors in practice,e.g.,renewable generation and behavior of users,two different stochastic models based on sample average approximation(SAA)and parameter modification are formulated with improved scheduling accuracy.In the executive layer,distributed TCLs are triggered based on strategies determined in the scheduling layer.A self-triggering method that does not violate user privacy is presented,where TCLs receive external signals from the LA and independently determine whether to alter their operation statuses.Numerical simulations are performed on the modified IEEE-24 bus system to verify effectiveness of the proposed strategy.

关键词： Demand response hierarchical control load regulation self-triggering method Stackelberg game

An SDN-Based Algorithm for Caching,Routing,and Load Balancing in ICN

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China Communications 2024年第5期21卷 64-76页

作者： MohammadBagher Tavasoli Hossein Saidi Ali Ghiasian department of electrical and Computer engineering Isfahan University of TechnologyIsfahanIran department of Technology and engineering Shahrekord UniversityShahrekordIran

One of the challenges of Informationcentric Networking(ICN)is finding the optimal location for caching content and processing users’requests.In this paper,we address this challenge by leveraging Software-defined Networking(SDN)for efficient ICN management.To achieve this,we formulate the problem as a mixed-integer nonlinear programming(MINLP)model,incorporating caching,routing,and load balancing decisions.We explore two distinct scenarios to tackle the problem.Firstly,we solve the problem in an offline mode using the GAMS environment,assuming a stable network state to demonstrate the superior performance of the cacheenabled network compared to non-cache networks.Subsequently,we investigate the problem in an online mode where the network state dynamically changes over time.Given the computational complexity associated with MINLP,we propose the software-defined caching,routing,and load balancing(SDCRL)algorithm as an efficient and scalable solution.Our evaluation demonstrates that the SDCRL algorithm significantly reduces computational time while maintaining results that closely resemble those achieved by GAMS.

关键词： in-network caching information-centric network power efficiency routing software-defined networking

Fractional synergetic tracking control for robot manipulator

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Journal of Control and Decision 2024年第1期11卷 139-152页

作者： Asma Saif Raouf Fareh Saif Sinan Maamar Bettayeb department of electrical engineering University of SharjahSharjahUAE department of electrical engineering École de technologie supérieureMontrealCanada CEIES King Abdulaziz UniversityJeddahSaudi Arabia

This work takes advantage of synergetic control theory and fractional calculus to develop and propose fractional synergetic control(FSC)strategy for Four Degrees of Freedom(4-DOF)robot manipulator.The proposed fractional synergetic control is designed to track a joint space as well as workspace desired trajectories.Fractional calculus gives more flexibility in the design since it has a wider stability region.Added to that,as stated in the literature,compared to a similar approach such as sliding mode control,the synergetic control approach converges faster to the equilibrium point,without chattering with a fast response.This paper proposes a new control strategy that takes advantage of fractional calculus and synergetic control theory.This proposed control strategy is tested experimentally on a 4-DOF manipulator to study the performance of the proposed control scheme.The stability of the closed-loop system is proved using the Lyapunov approach.The experimental results have shown that the proposed FSC design has achieved a good tracking performance.

关键词： Synergetic control robust control robot manipulator fractional controller