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Optimal Configuration of Fault Location Measurement Points in DC Distribution Networks Based on Improved Particle Swarm Optimization Algorithm

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Energy Engineering 2024年第6期121卷 1535-1555页

作者： huanan yu Hangyu Li He Wang Shiqiang Li Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China

The escalating deployment of distributed power sources and random loads in DC distribution networks hasamplified the potential consequences of faults if left uncontrolled. To expedite the process of achieving an optimalconfiguration of measurement points, this paper presents an optimal configuration scheme for fault locationmeasurement points in DC distribution networks based on an improved particle swarm optimization ***, a measurement point distribution optimization model is formulated, leveraging compressive *** model aims to achieve the minimum number of measurement points while attaining the best compressivesensing reconstruction effect. It incorporates constraints from the compressive sensing algorithm and networkwide viewability. Subsequently, the traditional particle swarm algorithm is enhanced by utilizing the Haltonsequence for population initialization, generating uniformly distributed individuals. This enhancement reducesindividual search blindness and overlap probability, thereby promoting population diversity. Furthermore, anadaptive t-distribution perturbation strategy is introduced during the particle update process to enhance the globalsearch capability and search speed. The established model for the optimal configuration of measurement points issolved, and the results demonstrate the efficacy and practicality of the proposed method. The optimal configurationreduces the number of measurement points, enhances localization accuracy, and improves the convergence speedof the algorithm. These findings validate the effectiveness and utility of the proposed approach.

关键词： Optimal allocation improved particle swarm algorithm fault location compressed sensing DC distribution network

Risk-Balanced Routing Strategy for Service Function Chains of Cyber-Physical Power System Considering Cross-Space Cascading Failure

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Energy Engineering 2024年第9期121卷 2525-2542页

作者： He Wang Xingyu Tong huanan yu XiaoHu Jing Bian The Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132000China

Cyber-physical power system(CPPS)has significantly improved the operational efficiency of power ***,cross-space cascading failures may occur due to the coupling characteristics,which poses a great threat to the safety and reliability of CPPS,and there is an acute need to reduce the probability of these *** this end,this paper first proposes a cascading failure index to identify and quantify the importance of different information in the same class of communication *** this basis,a joint improved risk-balanced service function chain routing strategy(SFC-RS)is proposed,which is modeled as a robust optimization problem and solved by column-and-constraint generation(C-CG)*** with the traditional shortest-path routing algorithm,the superiority of SFC-RS is verified in the IEEE 30-bus *** results demonstrate that SFC-RS effectively mitigates the risk associated with information transmission in the network,enhances information transmission accessibility,and effectively limits communication disruption from becoming the cause of cross-space cascading failures.

关键词： Cyber-physical power system service function chain risk balance routing optimization cascading failure

Fabrication of Fe-doped Co-MOF with mesoporous structure for the optimization of supercapacitor performances

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Chinese Chemical Letters 2018年第6期29卷 834-836页

作者： huanan yu Huicong Xia Jianan Zhang Jing He Shiyu Guo Qun Xu College of Materials Science and Engineering Zhengzhou University Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education) Nankai University

The synergy effect between different components has attracted widespread attentions because of improved activity, selectivity and stability than single component. In this paper, we fabricated mesoporous hybrid dual-metal Co and Fe containing metallic organic framework（Co/Fe-MOF）, Fe-MOF,and Co-MOF in the ionic liquid（IL）/supercritical CO2（SC）/surfactant emulsion system, and then studied the electrochemical properties of the three MOFs systematically. Experiment results indicate that, by taking advantages of coexistence of double metal, hybrid bi-metal Co/Fe-MOF exhibits the highest specific capacitance and the best cycling stability, with specific capacitance to 319.5 F/g at 1 A/g, 1.4 and 4 times for single Co-MOF and Fe-MOF, respectively.

关键词： Metallic organic framework Mesoporous structure Synergistic effect Hybrid dual-metal Supercapacitor

Dynamic Economic Scheduling with Self-Adaptive Uncertainty in Distribution Network Based on Deep Reinforcement Learning

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Energy Engineering 2024年第6期121卷 1671-1695页

作者： Guanfu Wang yudie Sun Jinling Li yu Jiang Chunhui Li huanan yu He Wang Shiqiang Li State Grid Liaoning Electric Power Co. Ltd.Liaoyang Power Supply CompanyLiaoyang111000China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Jilin Northeast Electric Power University Science and Technology Development Co. Ltd.Jilin132012China

Traditional optimal scheduling methods are limited to accurate physical models and parameter settings, which aredifficult to adapt to the uncertainty of source and load, and there are problems such as the inability to make dynamicdecisions continuously. This paper proposed a dynamic economic scheduling method for distribution networksbased on deep reinforcement learning. Firstly, the economic scheduling model of the new energy distributionnetwork is established considering the action characteristics of micro-gas turbines, and the dynamic schedulingmodel based on deep reinforcement learning is constructed for the new energy distribution network system with ahigh proportion of new energy, and the Markov decision process of the model is defined. Secondly, Second, for thechanging characteristics of source-load uncertainty, agents are trained interactively with the distributed networkin a data-driven manner. Then, through the proximal policy optimization algorithm, agents adaptively learn thescheduling strategy and realize the dynamic scheduling decision of the new energy distribution network ***, the feasibility and superiority of the proposed method are verified by an improved IEEE 33-node simulationsystem.

关键词： Self-adaptive the uncertainty of sources and load deep reinforcement learning dynamic economic scheduling

Compressed Sensing： Optimized Overcomplete Dictionary for Underwater Acoustic Channel Estimation

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China Communications 2012年第1期9卷 40-48页

作者： yu huanan Guo Shuxu Qian Xiaohua College of Electronic Science and Engineering Jilin UniversityChangchun 130012P.R.China

Compressed Sensing （CS） offers a method to solve the channel estimation problems for an underwater acoustic system, based on the existence of a sparse representation of the treated signal and an overcomplete dictionary with a set of non-orthogonal bases. In this paper, we proposed a new approach to optimize dictionaries by decreasing the average measure of the mutual coherence of the effective dictionary. A fixed link between the average mutual coherence and the CS perforrmnce is indicated by designing three factors： operating bandwidth, the number of pilot subcarriers, and coherence bandwidth. Both the Orthogonal Matching Pursuit （OMP） and the Basis Pursuit De-Noising （BPDN） are compared to the Dantzig Selector （DS） for different Signal Noise Ratio （SNR） and shown to benefit from the newly designed dictionary. Nurnerical sinmlations and experimental data of an OFDM receiver are used to evaluate the proposed method in comparison with the conventional LeastSquare （LS） estirmtor. The results show that the dictionary with a better condition considerably improves the perforrmnce of the channel estimation.

关键词： under water acoustic corrmmnication channel estimation compressed sensing overcom- plete dictionary mutual coherence

Dual-Confined Bead-Like CoSe_(2)@NC@NCNFs Bifunctional Catalyst Boosting Rechargeable Zinc-Air Batteries

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Chinese Journal of Chemistry 2024年第4期42卷 397-405页

作者： Kuixing Ding Jiugang Hu Liming Zhao huanan yu Shan Cai Yi Yang Jun Tan Hongshuai Hou Xiaobo Ji College of Chemistry and Chemical Engineering Central South UniversityChangshaHunan410083 China College of Materials and Chemistry China Jiliang UniversityHangzhouZhejiang310018 China College of Standardization China Jiliang UniversityHangzhouZhejiang310018 China

Rationally developing efficient and durable bifunctional catalysts toward oxygen reduction reaction(ORR)and oxygen evolution reaction(OER)is critical for rechargeable zinc-air batteries(ZABs).Herein,a bead-like CoSe_(2)@NC@NCNFs bifunctional catalyst was designed and fabricated by confining cubic CoSe_(2)nanoparticles to three-dimensional(3D)porous MOFs-derived nitrogen-doped carbon(NC)and one-dimensional(1D)N-doped carbon nanofibers(NCNFs)through a facile encapsulate *** 1D/3D continuous network structure contributes to the improvement of specific surface area and electronic conductivity,while the strong synergistic effect between CoSe_(2)sites and Co-Nx-C sites can effectively enhance electron/mass transfer and reduce the diffusion *** as-constructed CoSe_(2)@NC@NCNFs catalyst exhibits high catalytic activity and stability toward ORR/OER with a high half-wave potential of 0.80 V(***)in ORR and a low overpotential of 280 mV at 10 mA·cm^(−2)in *** encouragingly,the rechargeable ZABs with CoSe_(2)@NC@NCNFs cathode deliver high peak power densities(126.8 mW·cm^(−2)),large specific capacities(763.1 mA·h·g^(−1)),and robust charge-discharge cycling stability over 240 *** study provides a facile strategy for designing efficient bifunctional catalysts for rechargeable energy conversion applications.

关键词： Dual-confined Electrospinning Cobalt selenide Bifunctional catalysts Rechargeable zinc-air batteries

Resistance of Asphalt Mixtures to Heavy Loads Based on icromechanical Three Dimensional DEM Analyses

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Resistance of Asphalt Mixtures to Heavy Loads Based on icrom...

Supercritical CO2 as a Dual template for fabrication of mesoporous cobalt metal-organic framework

ISAP2012重载沥青路面和桥面铺装专题会议

作者： huanan yu Shihui Shen Washington State University Tongji University

＜正＞Heavy traffic loading and large number of load repetitions can cause tremendous damage and premature failure to asphalt pavements that were designed for standard *** there are many ways to assess the adequacy of a mix design to support heavy traffic loads,computational modeling is one of the promising approach because it provides convenience to evaluate the interaction and contribution of individual mixture component to the overall mix *** this paper,a micromechanical three-dimensional discrete element method was used to model the resistance of asphalt mixture to heavy loads.A displacement softening contact

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Supercritical CO2 as a Dual template for fabrication of meso...

基于单向表示字典学习的电能质量扰动识别方法

河南省化学会2016年学术年会

作者： Xin Tong huanan yu Qun Xu College of Materials Science and Engineering Zhengzhou University

MOFs have emerged as an attractive material for a remarkably wide range of potential applications,including gas separation, drug delivery, catalysis, and energy storage. Recently, efforts are being devoted to the use of MOFs as energy materials. Ionic liquids(ILs) and supercritical CO(SC CO), known as unconventional and green solvents, have gained much attention in the synthesis of new materials. We build up a reaction system that contains surfactant, ionic liquid and SC CO, to help the surfactant-directed assemble of porous structure. The system is bi-functional, one function is to create dispersed phase of microemulsions containing SC CO, and the other is to form continuous phase of ionic liquid. During the synthesis of nanospheres, CO takes on a dual function.

关键词： metal-organic framework supercritical CO2 ionic liquid mesopores dual template

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电测与仪表 2023年第4期60卷 133-138页

作者：于华楠于宏昊东北电力大学电气工程学院吉林吉林132012

电能质量扰动识别是电能质量数据分析问题中极其重要的一个部分。目前已经实现的电能质量扰动识别方法普遍存在识别速度较慢,识别准确率仍有较大提升空间等问题。文章提出一种计算简单但能有效识别分类的方法,即基于单向表示字典学习的... 详细信息

电能质量扰动识别是电能质量数据分析问题中极其重要的一个部分。目前已经实现的电能质量扰动识别方法普遍存在识别速度较慢,识别准确率仍有较大提升空间等问题。文章提出一种计算简单但能有效识别分类的方法,即基于单向表示字典学习的电能质量扰动识别方法。对电能质量数据的训练样本进行训练得到与各个类别对应的子字典,提出单向约束以使样本在字典中的表示系数方向可以区分;通过计算测试样本的表示系数方向以及大小来区分所属类别。实验结果表明,所提方法不但识别准确度高于已有的识别方法,而且计算效率也有较大提升。

关键词：电能质量扰动识别单向表示字典学习