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A Cloud-edge Cooperative Dispatching Method for Distribution Networks Considering Photovoltaic Generation Uncertainty

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Journal of Modern power Systems and Clean Energy 2021年第5期9卷 1111-1120页

作者： Lu Shen Xiaobo Dou Huan Long Chen Li Ji Zhou Kang Chen School of Electrical Engineering Southeast UniversityNanjing 210096China State Grid National Electric power Dispatching and communication Center Nanjing 210024China State Grid Suzhou power Supply company Suzhou 215000China

With the increasing penetration of renewable energy generation,uncertainty and randomness pose great challenges for optimal dispatching in distribution *** propose a cloud-edge cooperative dispatching(CECD)method to exploit the new opportunities offered by Internet of Things(IoT)*** alleviate the huge pressure on the modeling and computing of large-scale distribution system,the method deploys edge nodes in small-scale transformer areas in which robust optimization subproblem models are introduced to address the photovoltaic(PV)*** the limited communication and computing capabilities of the edge nodes,the cloud center in the distribution automation system(DAS)establishes a utility grid master problem model that enforces the consistency between the solution at each edge node with the utility grid based on the alternating direction method of multipliers(ADMM).Furthermore,the voltage constraint derived from the linear power flow equations is adopted for enhancing the operation security of the distribution *** perform a cloud-edge system simulation of the proposed CECD method and demonstrate a dispatching *** case study is carried out on a modified 33-node system to verify the remarkable performance of the proposed model and method.

关键词： Cloud-edge cooperative dispatching method transformer areas uncertainty alternating direction method of multipliers(ADMM)

Classification for Glass Bottles Based on Improved Selective Search Algorithm

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Computers, Materials & Continua 2020年第7期64卷 233-251页

作者： Shuqiang Guo Baohai Yue Manyang Gao Xinxin Zhou Bo Wang School of Computer Science Northeast Electric Power UniversityJilin132000China Information and communication company State Grid Tianjin Electric Power CompanyTianjin300000China Graduate School of Science and Engineering Iwate UniversityMorioka020-8550Japan

The recycling of glass bottles can reduce the consumption of resources and contribute to environmental *** present,the classification of recycled glass bottles is difficult due to the many differences in specifications and *** paper proposes a classification algorithm for glass bottles that is divided into two stages,namely the extraction of candidate regions and the classification of *** the candidate region extraction stage,aiming at the problem of the large time overhead caused by the use of the SIFT(scale-invariant feature transform)descriptor in SS(selective search),an improved feature of HLSN(Haar-like based on SPP-Net)is *** integral graph is introduced to accelerate the process of forming an HBSN vector,which overcomes the problem of repeated texture feature calculation in overlapping regions by *** the classification stage,the improved SS algorithm is used to extract target *** target regions are merged using a non-maximum suppression algorithm according to the classification scores of the respective regions,and the merged regions are classified using the trained *** demonstrate that,compared with the original SS,the improved SS algorithm increases the calculation speed by 13.8%,and its classification accuracy is 89.4%.Additionally,the classification algorithm for glass bottles has a certain resistance to noise.

关键词： Classification of glass bottle HBSN feature improved selective search algorithm LightGBM

Iterative Interference Cancellation for Non-orthogonal Multiple Access System

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Chinese Journal of Electronics 2020年第3期29卷 540-546页

作者： CHEN Min YANG Yongqin School of Information and communication Engineering Hainan University State Key Laboratory of Marine Resource utilization in South China Sea

Non-orthogonal multiple access(NOMA)makes multiple users to overload the same wireless resources by utilizing the superposition coding principle,so that it can improve the system capacity and spectral efficiency. Various NOMA schemes are proposed, including the power-domain NOMA(PD-NOMA). Most of them are using Successive interference cancellation(SIC) for detection, which limits the promised performance gain brought by NOMA due to the error propagation. An Iterative SIC and parallel interference cancellation(ISP)method is proposed for the PD-NOMA system. The MaxLog-MAP(MLM) algorithm(MAP is short for Maximum a posteriori) and SIC are used for performance *** results show that the Bit error rate(BER)performance of ISP is much better than that of SIC,and is close to that of MLM. It can perform even better than MLM at low signal to noise ratio for the user with lower power allocation. The ISP can obtain the promised performance gain brought by NOMA.

关键词： Non-orthogonal multiple access Successive interference cancellation(SIC) Iterative SIC and parallel interference cancellation Max-Log-MAP

A quantitative analysis model of grid cyber physical systems

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Global Energy Interconnection 2018年第5期1卷 618-626页

作者： Li Huang Yun Liang Feng Huang Dayang Wang Global Energy Interconnection Research Institute Co. Ltd. State Grid Laboratory of Electric power communication Network technology State Grid Jiangsu Electric power company

Conventional power systems are being developed into grid cyber physical systems(GCPS) with widespread application of communication, computer, and control technologies. In this article, we propose a quantitative analysis method for a GCPS. Based on this, we discuss the relationship between cyberspace and physical space, especially the computational similarity within the GCPS both in undirected and directed bipartite networks. We then propose a model for evaluating the fusion of the three most important factors: information, communication, and security. We then present the concept of the fusion evaluation cubic for the GCPS quantitative analysis model. Through these models, we can determine whether a more realistic state of the GCPS can be found by enhancing the fusion between cyberspace and physical space. Finally, we conclude that the degree of fusion between the two spaces is very important, not only considering the performance of the whole business process, but also considering security.

关键词： Cyber physical systems Quantitative analysis algorithm Bipartite network Smart grid

Dynamic Stability Improvement of Decentralized Wind Farms by Effective Distribution Static Compensator

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Journal of Modern power Systems and Clean Energy 2021年第3期9卷 516-525页

作者： Muhammad Naveed Naz Saqif Imtiaz Muhammad Kamran Liaquat Bhatti Waseem Qaiser Awan Muhammad Siddique Ashfaq Riaz Department of Electrical Engineering NFC Institute of Engineering&TechnologyMultanPakistan Multan Electric power company MultanPakistan

Dynamic instability of decentralized wind energy farms is a major issue to deliver continuous green energy to electricity *** instability is caused by variations of voltage and frequency parameters due to intermittencies in wind ***,droop control and inverter-based schemes have been proposed to regulate the voltage by balancing reactive power,while inertial control,digital mapping tech-nique of proportional-integral-differential(PID)controller and efficiency control strategy have been developed to regulate the *** this paper,voltage stability is improved by a new joint strategy of distribution static compensator(DSTATCOM)six-pulse controller based reactive power management among decentralized wind turbines and controlled charging of capacitor *** frequency stability is ensured by a joint coordinated utilization of capacitor bank and distributed wind power turbines dispatching through a new DSTATCOM six-pulse controller *** both strategies,power grid is contributed as a backup source with less *** new joint strategies for voltage and frequency stabilities will enhance the stable active power delivery to end users.A system test case is developed to verify the proposed joint *** test results of the proposed new schemes are proved to be effective in terms of stability improvement of voltage,frequency and active power generation.

关键词： Dynamic instability decentralized wind energy farms voltage instability frequency instability distribution static compensator(DSTATCOM) reactive power management in-termittency

A QoS-Aware Packet Scheduling Mechanism in Cognitive Radio Networks for Smart Grid Applications

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China communications 2016年第2期13卷 68-78页

作者： XU Siya WEI Lei LIU Zhu GUO Shaoyong QIU Xuesong MENG Luoming State Key Laboratory of Network and Switching technology Beijing University of Posts and TelecommunicationsBeijing 100876China Information&Telecommunication branch of Nanjing power Supply company of State Grid Jiangsu Electric power company Nanjing 210008China State Grid Information&Telecommunication Co. Ltd.Beijing 100031China

Cognitive radio sensor network is applied to facilitate network monitoring and management, and achieves high spectrum efficiencies in smart grid. However, the conventional traffic scheduling mechanisms are hard to provide guaranteed quality of service for the secondary users. It is because that they ignore the influence of diverse transition requirements in heterogeneous traffi c. Therefore, a novel Qo S-aware packet scheduling mechanism is proposed to improve transmission quality for secondary users. In this mechanism, a Qo S-based prioritization model is established to address data classification firstly. And then, channel quality and the effect of channel switch are integrated into priority-based packet scheduling mechanism. At last, the simulation is implemented with MATLAB and OPNET. The results show that the proposed scheduling mechanism improves the transmission quality of high-priority secondary users and increase the whole system utilization by 10%.

关键词： smart grid cognitive radio sensornetworks (CRSN) quality of service (QoS) scheduling mechanism

Load-Balancing and QoS Based Dynamic Resource Allocation Method for Smart Gird Fiber-Wireless Networks

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Chinese Journal of Electronics 2019年第6期28卷 1234-1243页

作者： XU Siya LI Peng QI Feng GUO Shaoyong ZHOU Guiping DENG Wei LI Yueyue State Key Laboratory of Networking and Switching technology Beijing University of Posts and Telecommunications Shenyang Electric power Supply company State Grid Liaoning Electric Power Company Co.LTd. Beijing Guodiantong Network Technical Co.LTd.

Real-time network resource allocation based on virtualization technology is an important method to solve the solidification problem of Fiber-wireless(Fi-Wi) access networks. To increase the resource utilization and meet the specific QoS requirements of smart gird communication services, a Load-balancing and QoS based dynamic resource allocation method(LbQ-DR) is proposed with three sub-mechanisms. A time-window based substrate network resource update mechanism is designed to describe the realtime resource consumption of substrate networks, which can balance the accuracy of resource status and the complexity of the allocation algorithm.A QoS-based Virtual network request(VNR) sorting mechanism is presented to precisely calculate the priority of VNRs and reasonably sort the incoming services.A load-balancing based resource allocation mechanism is designed to avoid unbalanced resource ***, the channel interference is considered in the cost of embedding and a collision domain mechanism is introduced to decrease interference. Simulation results demonstrate that the proposed method can provide heterogeneous smart grid businesses with differentiated service, improve the utilization and economic benefits of the network and make the network more balanced.

关键词： Load-balancing Quality of Service(QoS) Smart grid communication networks Fiber-wireless(Fi-Wi) networks Resource allocation

Situation Awareness and Sensitivity Analysis for Absorption of Grid-connected Renewable Energy power Generation Integrating Robust Optimization and Radial Basis Function Neural Network

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Journal of Modern power Systems and Clean Energy 2023年第6期11卷 1795-1803页

作者： Ziqi Zhang Zhong Chen Qi Zhao Yi Wang Jiang Tian School of Electrical Engineering Southeast UniversityNanjingChina Suzhou power Supply branch of the State Grid Jiangsu Electric power company SuzhouChina NARI Group Corporation Ltd. (State Grid Electric Power Research Institute Ltd.)NanjingChina

The significance of situation awareness(SA) in power systems has increased to enhance the utilization of gridconnected renewable energy power generation(REPG). This paper proposes a real-time calculation architecture based on the integration of robust optimization(RO) and artificial intelligence. First, the time-series simulation of the REPG consumption capacity is carried out under the current grid operating conditions. RO is employed in this simulation, given the randomness of the REPG output and the grid load. Then, the radial basis function neural network(RBFNN) is trained with the results under different parameters using the artificial fish swarm algorithm(AFSA), enabling the neural network(NN) to be the replacement for the time-series simulation model. The trained NN can quickly perceive the REPG absorption situation within the predefined grid structure and period. Moreover, the Sobol' method is adopted to conduct the global sensitivity analysis for different parameters based on the input-output samples obtained by the trained NN. Finally, the simulation experiments based on the modified IEEE 14-bus system prove the real-time performance and accuracy of the proposed SA architecture.

关键词： Renewable energy radial basis function neural network robust optimization sensitivity analysis situation awareness

Multi-environment BSA-seq using large F3 populations is able to achieve reliable QTL mapping with high power and resolution: An experimental demonstration in rice

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The Crop Journal 2024年第2期12卷 549-557页

作者： Yan Zheng Ei Ei Khine Khin Mar Thi Ei Ei Nyein Likun Huang Lihui Lin Xiaofang Xie Min Htay Wai Lin Khin Than Oo Myat Myat Moe San San Aye Weiren Wu College of Life Sciences Fujian Agriculture and Forestry UniversityFuzhou 350002FujianChina Fujian Provincial Key Laboratory of Crop Breeding by Design Fujian Agriculture and Forestry UniversityFuzhou 350002FujianChina Key Laboratory of Genetics Breeding and Multiple Utilization of CropsMinistry of EducationFujian Agriculture and Forestry UniversityFuzhou 350002FujianChina Department of Botany Mawlamyine UniversityMon StateMawlamyineMyanmar Department of Botany Dagon UniversityNorth DagonYangonMyanmar

Bulked-segregant analysis by deep sequencing(BSA-seq) is a widely used method for mapping QTL(quantitative trait loci) due to its simplicity, speed, cost-effectiveness, and efficiency. However, the ability of BSA-seq to detect QTL is often limited by inappropriate experimental designs, as evidenced by numerous practical studies. Most BSA-seq studies have utilized small to medium-sized populations, with F2populations being the most common choice. Nevertheless, theoretical studies have shown that using a large population with an appropriate pool size can significantly enhance the power and resolution of QTL detection in BSA-seq, with F_(3)populations offering notable advantages over F2populations. To provide an experimental demonstration, we tested the power of BSA-seq to identify QTL controlling days from sowing to heading(DTH) in a 7200-plant rice F_(3)population in two environments, with a pool size of approximately 500. Each experiment identified 34 QTL, an order of magnitude greater than reported in most BSA-seq experiments, of which 23 were detected in both experiments, with 17 of these located near41 previously reported QTL and eight cloned genes known to control DTH in rice. These results indicate that QTL mapping by BSA-seq in large F_(3)populations and multi-environment experiments can achieve high power, resolution, and reliability.

关键词： BSA-seq QTL mapping Large F3 population Multi-environment experiment Cross-validation