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A comparative study on grid resource utilization rate between China Southern Power Grid and National Grid Plc of UK

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Protection and Control of Modern Power Systems 2018年第1期3卷 286-293页

作者： Long Zhou Di Zhang Weijie Wu Manman Zhu Hanyu Yang Canbing Li Ge Li Fei Li Mingjian Cui information Center Guangdong Power Grid Company LimitedGuangzhou 528000China College of Electrical and information Engineering Hunan UniversityChangsha 410082China Planning and Research Center Guangdong Power Grid Company LimitedGuangzhou 528000China Department of Electrical Engineering Southern Methodist UniversityDallas 75275USA

Grid resource utilization rate plays a key role in power grid *** the proportion of population and the area in China Southern Power Grid(CSG)and National Grid Plc of UK(NG)are nearly,grid resources utilization of CSG is lower than that of *** this paper,the utilization of human resources and equipment resources of CSG and NG have been *** is discovered that there is a large gap between these two *** results show that the utilization in CSG is about 20%to 50%of that in *** it is estimated that if the equipment resources utilization of CSG increases to the level of NG in 2012,the coal consumption and thus CO2 emissions would be reduced by 17 million tons and 21 million tons,*** China is a developing country and Britain is a mature developed country,it is to some extent reasonable that grid resources utilization of CSG is lower than that of *** benefits of improving equipment resources utilization are illustrated in detail,which provided the reference for developing the grid resource utilization in China.

关键词： Electrical equipment Human resources Power grid enterprises Energy saving

A V2V Emergent Message Dissemination Scheme for 6G-Oriented Vehicular Networks

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Chinese Journal of Electronics 2023年第6期32卷 1179-1191页

作者： CHEN Chen WANG Chenyu CONG Li XIAO Ming PEI Qingqi School of Telecommunication Engineering Xidian University The State Grid Jilin Province Electric Power company limited information Communication company KTH Royal Institute of technology

To ensure traffic safety and improve traffic efficiency, vehicular networks come up with multiple types of messages for safety and efficiency applications. In sixth-generation(6G) systems, these messages should be timely and error-free disseminated through vehicle-to-vehicle(V2V) communication to ensure traffic safety and efficiency. V2V supports direct communication between two vehicle user equipments, regardless of whether a base station is involved. We propose a packet delivery ratio(PDR)-based message dissemination scheme(PDR-MD) between V2V in 6G-oriented vehicular networks to select relay vehicles when broadcasting emergent messages. This scheme grasps the balance between vehicle distance and PDR so as to reduce transmission delay while ensuring reliable PDR. We compared the PDR-MD scheme with other probabilistic broadcasting schemes. The experimental results show that the PDRMD protocol can maintain close to 95% and above PDR in transmitting emergent messages, and the transfer rate stays below 40%.

关键词： 6G mobile communication Protocols Urban areas Vehicular ad hoc networks Broadcasting Probabilistic logic Safety

Bi-level Energy Trading Model Incorporating Large-scale Biogas Plant and Demand Response Aggregator

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Journal of Modern Power Systems and Clean Energy 2023年第2期11卷 567-578页

作者： Hanyu Yang Canbing Li Ruanming Huang Feng Wang Lili Hao Qiuwei Wu Long Zhou College of Electrical Engineering and Control science Nanjing Tech UniversityNanjingChina School of Electronic information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Economic and Technological Research Institute of Shanghai Electric Power company ShanghaiChina College of Electrical and information Engineering Hunan UniversityChangsha 410082China Tsinghua-Berkeley Shenzhen Institute Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China information Center of guangdong Power Grid company limited Guangzhou 528000China

Increasing intermittent renewable energy sources(RESs)intensifies the imbalance between demand and generation,entailing the diversification of the deployment of electrical energy storage systems(ESSs).A large-scale biogas plant(LBP)installed with heating devices and biogas energy storage(BES)usually exhibits a storage-like characteristic of accommodating an increasing penetration level of RES in rural areas,which is addressed in this *** utilizing the temperature-sensitive characteristic of anaerobic digestion that enables the LBP to exhibit a storage-like characteristic,this paper proposes a bi-level energy trading model incorporating LBP and demand response aggregator(DRA)*** this model,social welfare is maximized at the upper level while the profit of DRA is maximized at the lower *** with cases only with DRA,the results show that the proposed model with the LBP improves the on-site accommodation capacity of photovoltaic(PV)generation up to 6.3%,18.1%,and 18.9%at 30%,40%,and 50%PV penetration levels,respectively,with a better economic *** nonlinear bi-level problem is finally recast by a single-level mathematical program with equilibrium constraints(MPEC)using Karush-Kuhn-Tucker(KKT)conditions and solved by the Cplex *** effectiveness of the proposed model is validated using a 33-bus test system and a sensitivity analysis is provided for analyzing what parameter influences the accommodation capacity most.

关键词： Biomass energy renewable energy resource energy trading demand response distribution system

Building a Cloud-Based Energy Storage System through Digital Transformation of Distributed Backup Battery in Mobile Base Stations

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China Communications 2020年第4期17卷 42-50页

作者： Song Ci Yanglin Zhou Yuan Xu Xingjian Diao Junwei Wang Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Shanghai Institute of Microsyst&information technology CASShanghai 200050China Guangzhou Power Supply Bureau Guangdong Power Grid Co.LtdGuangzhou 510620China Department of Computer science University of PittsburghPA15260USA China Tower company limited Guangzhou518000China School of information science&technology ShanghaiTech UniversityShanghai 200210China University of Chinese Academy of sciences Beijing100039China

Battery energy storage systems(ESS) have been widely used in mobile base stations(BS) as the main backup power source. Due to the large number of base stations, massive distributed ESSs have largely stayed in idle and very difficult to achieve high asset utilization. In recent years, the fast-paced development of digital energy storage(DES) technology has revolutionized the traditional operation and maintenance of ESSs by transforming them into digital assets, further enabling battery energy storage services, raising up a new way to achieve a much higher utilization of such kind of largely idle ESS resources. In this paper, the disruptive DES technology will be introduced and its application under the context of mobile BSs will be studied, and then a cloud-based energy storage(CES) platform is proposed based on a large scale distributed DESs to provide a new cyber-enabled energy storage service to the local utility company. A real-world case study shows the effectiveness and efficiency of the CES platform.

关键词： digital energy storage dynamic reconfigurable battery network energy digitization software-defined battery system cloud energy storage

Lattice-based autonomous path proxy re-encryption in the standard model

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science China(information sciences) 2023年第10期66卷 184-195页

作者： Wenli XIE Jian WENG Yao TONG Xiaojian LIANG Lisha YAO Feixiang ZHAO College of Cyber Security Jinan University Guangzhou Fongwell Data limited company

Autonomous path proxy re-encryption(AP-PRE) is a type of PRE that implements control on the delegation path in a multi-hop PRE. AP-PRE forces the proxy to perform the transformation along a predefined path without revealing the underlying plaintext. There are several applications of AP-PRE,including electronic medical systems, data sharing, and email systems. However, as far as we know, the existing AP-PRE scheme is provably secure in the random oracle model under the classical number-theoretic assumption, which might be vulnerable to quantum computers. Therefore, it raises the intriguing question of how to construct a quantum-resistant AP-PRE scheme. In this study, we proposed an AP-PRE scheme based on the widely accepted quantum-resistant learning with errors(LWE) assumptions. Our scheme supports the polynomial length of the delegation path. Furthermore, our scheme is proved to be selective-path CPA(sCPA) secure in the standard model under LWE assumptions.

关键词： autonomous path proxy re-encryption proxy re-encryption lattice-based cryptography learning with errors controlled delegation

1-Pbps orbital angular momentum fibre-optic transmission

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Light(science & Applications) 2022年第8期11卷 1823-1833页

作者： Junyi Liu Jingxing Zhang Jie Liu Zhenrui Lin Zhenhua Li Zhongzheng Lin Junwei Zhang Cong Huang Shuqi Mo Lei Shen Shuqing Lin Yujie Chen Ran Gao Lei Zhang Xiaobo Lan Xinlun Cai Zhaohui Li Siyuan Yu State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information TechnologySun Yat-Sen UniversityGuangzhou510006China Yangtze Optical Fibre and Cable Joint Stock limited company State Key Laboratory of Optical Fibre and Cable Manufacture TechnologyNo.9 Guanggu AvenueWuhanHubeiChina School of information and Electronics Beijing Institute of TechnologyBeijing100081China

Space-division multiplexing(SDM),as a main candidate for future ultra-high capacity fibre-optic communications,needs to address limitations to its scalability imposed by computation-intensive multi-input multi-output(MIMO)digital signal processing(DSP)required to eliminate the crosstalk caused by optical coupling between multiplexed spatial *** exploiting the unique propagation characteristics of orbital angular momentum(OAM)modes in ring core fibres(RCFs),a system that combines SDM and C+L band dense wavelength-division multiplexing(DWDM)in a 34 km 7-core RCF is demonstrated to transport a total of 24960 channels with a raw(net)capacity of 1.223(1.02)Peta-bit s−1(Pbps)and a spectral efficiency of 156.8(130.7)bit s−1 Hz−*** for such a high channel count,the system only uses fixed-size 4×4 MIMO DSP modules with no more than 25 time-domain *** ultra-low MIMO complexity is enabled by the simultaneous weak coupling among fibre cores and amongst non-degenerate OAM mode groups within each core that have a fixed number of 4 *** results take the capacity of OAM-based fibre-optic communications links over the 1 Pbps milestone for the first *** also simultaneously represent the lowest MIMO complexity and the 2nd smallest fibre cladding diameter amongst reported few-mode multicore-fibre(FM-MCF)SDM systems of>1 Pbps *** believe these results represent a major step forward in SDM transmission,as they manifest the significant potentials for further up-scaling the capacity per optical fibre whilst keeping MIMO processing to an ultra-low complexity level and in a modularly expandable fashion.

关键词： fibre momentum coupling

A preliminary study on the acoustic properties of seafloor sediment in the southern U-boundary of the South China Sea

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Journal of Oceanology and Limnology 2023年第2期41卷 687-693页

作者： Zhengyu HOU Danling TANG Yao XIAO Jingqiang WANG Bo ZHANG Xiaoming CUI Peng HAO School of Ocean Engineering and technology Sun Yat-sen University&Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 519000China Southern Marine science and Engineering guangdong Laboratory(Guangzhou) South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 511458China Key Laboratory of Marine Geology and Metallogeny First Institute of OceanographyMinistry of Natural Resources(MNR)Qingdao 266061China Beijing information science&technology University Beijing 100192China Naval Research Institute Tianjin 300000China Engineering technology Branch company of CNOOC Energy technology&Services limited CNOOC Experimental CenterTianjin 300000China State Key Laboratory of Acoustics Institute of AcousticsChinese Academy of SciencesBeijing 100190China

The acoustic properties of seafloor sediment are essential parameters in the exploration of marine resources,ocean scientific research and ocean *** sediment samples were collected at the southern U-boundary of the South China Sea(SCS),and the acoustic and physical properties were measured in the *** correlation between physical and sound speed ratio(SSR)was discussed,and SSR-physical property empirical regressions in the Sunda Shelf were established for the first *** with the northern continental shelf of SCS,the Sunda Shelf are mainly silty and sand sediment,and the SSR ranges from 0.9949 to 1.0944,which has higher SSR than the northern continental shelf,implies that the Sunda Shelf is a high SSR *** the same kind of sediment has different physical properties,the single physical parameter of sediment cannot fully represent the acoustic properties of sediment,therefore,the multiple parameter prediction model should develop in the future to improve the prediction precision.

关键词： acoustic properties seafloor sediment South China Sea(SCS) U-boundary

Energy-Efficient Multi-Trip Routing for Municipal Solid Waste Collection by Contribution-Based Adaptive Particle Swarm Optimization

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Complex System Modeling and Simulation 2023年第3期3卷 202-219页

作者： Xiaoning Shen Hongli Pan Zhongpei Ge Wenyan Chen Liyan Song Shuo Wang Collaborative Innovation Center of Atmospheric Environment and Equipment technology and also with the Jiangsu Key Laboratory of Big Data Analysis TechnologySchool of AutomationNanjing University of Information Science and TechnologyNanjing 210044China School of Automation Nanjing University of Information Science and TechnologyNanjing 210044China guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation the Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China School of Computer science University of BirminghamBirminghamB152TTUK

Waste collection is an important part of waste management *** costs and carbon emissions can be greatly reduced by proper vehicle ***,each vehicle can work again after achieving its capacity limit and unloading the *** this,an energy-efficient multi-trip vehicle routing model is established for municipal solid waste collection,which incorporates practical factors like the limited capacity,maximum working hours,and multiple trips of each *** both economy and environment,fixed costs,fuel costs,and carbon emission costs are minimized *** solve the formulated model effectively,contribution-based adaptive particle swarm optimization is *** strategies named greedy learning,multi-operator learning,exploring learning,and exploiting learning are specifically designed with their own searching *** assessing the contribution of each learning strategy during the process of evolution,an appropriate one is selected and assigned to each individual adaptively to improve the searching efficiency of the ***,an improved local search operator is performed on the trips with the largest number of waste sites so that both the exploiting ability and the convergence accuracy of the algorithm are *** of the proposed algorithm is tested on ten waste collection instances,which include one real-world case derived from the Green Ring company of Jiangbei New District,Nanjing,China,and nine synthetic instances with increasing scales generated from the commonly-used capacitated vehicle routing problem benchmark *** with five state-of-the-art algorithms show that the proposed algorithm can obtain a solution with a higher accuracy for the constructed model.

关键词： municipal solid waste collection energy conservation multi-trip contribution particle swarm optimization

An enhanced semi-supervised learning method with self-supervised and adaptive threshold for fault detection and classification in urban power grids

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Energy and AI

Energy and AI 2024年第3期17卷 65-79页

作者： Jiahao Zhang Lan Cheng Zhile Yang Qinge Xiao Sohail Khan Rui Liang Xinyu Wu Yuanjun Guo Taiyuan University of technology TaiyuanShanxiChina Shenzhen Institute of Advanced technology Chinese Academy of SciencesShenzhenGuangdongChina guangdong Institute of Carbon Neutrality(Shaoguan) ShaoguanGuangdongChina Sino-Pak Center for Artificial Intelligence Pak-Austria Fachhochschule–Institute of Applied Sciences and TechnologyHaripurKhyber PakhtunkhwaPakistan Chengxi company State Grid Tianjin Electric Power CompanyTianjinChina

With the rapid development of urban power grids and the large-scale integration of renewable energy, traditional power grid fault diagnosis techniques struggle to address the complexities of diagnosing faults in intricate power grid systems. Although artificial intelligence technologies offer new solutions for power grid fault diagnosis, the difficulty in acquiring labeled grid data limits the development of AI technologies in this area. In response to these challenges, this study proposes a semi-supervised learning framework with self-supervised and adaptive threshold (SAT-SSL) for fault detection and classification in power grids. Compared to other methods, our method reduces the dependence on labeling data while maintaining high recognition accuracy. First, we utilize frequency domain analysis on power grid data to filter abnormal events, then classify and label these events based on visual features, to creating a power grid dataset. Subsequently, we employ the Yule–Walker algorithm extract features from the power grid data. Then we construct a semi-supervised learning framework, incorporating self-supervised loss and dynamic threshold to enhance information extraction capabilities and adaptability across different scenarios of the model. Finally, the power grid dataset along with two benchmark datasets are used to validate the model’s functionality. The results indicate that our model achieves a low error rate across various scenarios and different amounts of labels. In power grid dataset, When retaining just 5% of the labels, the error rate is only 6.15%, which proves that this method can achieve accurate grid fault detection and classification with a limited amount of labeled data.

关键词： Power grid fault detection Semi-supervised learning Data driven Deep learning Smart grid