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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 475-487页

作者： shida Zhang Shaoyun Ge Hong Liu Guocheng Hou Chengshan Wang School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China

To provide guidance for photovoltaic(PV)system integration in net-zero distribution systems(DSs),this paper proposes an analytical method for delineating the feasible region for PV integration capacities(PVICs),where the impact of battery energy storage system(BESS)flexibility is ***,we introduce distributionally robust chance constraints on network security and energy/carbon net-zero requirements,which form the upper and lower bounds of the feasible ***,the formulation and solution of the feasible region is *** resulting analytical expression is a set of linear inequalities,illustrating that the feasible region is a polyhedron in a high-dimensional space.A procedure is designed to verify and adjust the feasible region,ensuring that it satisfies network loss constraints under alternating current(AC)power *** studies on the 4-bus system,the IEEE 33-bus system,and the IEEE 123-bus system verify the effectiveness of the proposed *** is demonstrated that the proposed method fully captures the spatio-temporal coupling relationship among PVs,loads,and BESSs,while also quantifying the impact of this relationship on the boundaries of the feasible region.

关键词： Net-zero distribution system photovoltaic(PV)integration capacity feasible region battery energy storage system(BESS).

Cooperative decision-making algorithm with efficient convergence for UCAV formation in beyond-visual-range air combat based on multi-agent reinforcement learning

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Chinese Journal of Aeronautics 2024年第8期37卷 311-328页

作者： yaoming ZHOU Fan yANG Chaoyue ZHANG shida LI yongchao WANG School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhou 310027China

Highly intelligent Unmanned Combat Aerial Vehicle(UCAV)formation is expected to bring out strengths in Beyond-Visual-Range(BVR)air *** Multi-Agent Reinforcement Learning(MARL)shows outstanding performance in cooperative decision-making,it is challenging for existing MARL algorithms to quickly converge to an optimal strategy for UCAV formation in BVR air combat where confrontation is complicated and reward is extremely sparse and *** to solve this problem,this paper proposes an Advantage Highlight Multi-Agent Proximal Policy Optimization(AHMAPPO)***,at every step,the AHMAPPO records the degree to which the best formation exceeds the average of formations in parallel environments and carries out additional advantage sampling according to ***,the sampling result is introduced into the updating process of the actor network to improve its optimization ***,the simulation results reveal that compared with some state-of-the-art MARL algorithms,the AHMAPPO can obtain a more excellent strategy utilizing fewer sample episodes in the UCAV formation BVR air combat simulation environment built in this paper,which can reflect the critical features of BVR air *** AHMAPPO can significantly increase the convergence efficiency of the strategy for UCAV formation in BVR air combat,with a maximum increase of 81.5%relative to other algorithms.

关键词： Unmanned combat aerial vehicle(UCAV)formation Decision-making Beyond-visual-range(BVR)air combat Advantage highlight Multi-agent reinforcement learning(MARL)

A novel minority sample fault diagnosis method based on multisource data enhancement

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International Journal of Mechanical System Dynamics 2024年第1期4卷 88-98页

作者： yiming Guo shida Song Jing Huang School of Mechanical Engineering Nanjing University of Science and TechnologyNanjingChina School of Materials Science and Engineering Nanjing University of Science and TechnologyNanjingChina

Effective fault diagnosis has a crucial impact on the safety and cost of complex manufacturing ***,the complex structure of the collected multisource data and scarcity of fault samples make it difficult to accurately identify multiple fault *** address this challenge,this paper proposes a novel deep-learning model for multisource data augmentation and small sample fault *** raw multisource data are first converted into two-dimensional images using the Gramian Angular Field,and a generator is built to transform random noise into images through transposed convolution ***,two discriminators are constructed to evaluate the authenticity of input images and the fault diagnosis *** Vision Transformer network is built to diagnose faults and obtain the classification error for the ***,a global optimization strategy is designed to upgrade parameters in the *** discriminators and generator compete with each other until Nash equilibrium is achieved.A real-world multistep forging machine is adopted to compare and validate the performance of different *** experimental results indicate that the proposed method has multisource data augmentation and minority sample fault diagnosis *** with other state-of-the-art models,the proposed approach has better fault diagnosis accuracy in various scenarios.

关键词： multisource data augmentation minority sample fault diagnosis complex manufacturing system global optimization Vision Transformer

Rank-dependent ppredictableforward performance processes

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Probability, Uncertainty and Quantitative Risk 2024年第2期9卷 181-218页

作者： Bahman Angoshtari shida Duan Department of Mathematics University of MiamiCoral Gables FL 33146USA

Predictable forward performance processes(PFPPs)are stochastic optimal control frameworks for an agent who controls a randomly evolving system but can only prescribe the system dynamics for a short period *** is a common scenario in which a controlling agent frequently re-calibrates her *** introduce a new class of PFPPs based on rank-dependent utility,generalizing existing models that are based on expected utility theory(EUT).We establish existence of rank-dependent PFPPs under a conditionally complete market and exogenous probability distortion functions which are updated *** show that their construction reduces to solving an integral equation that generalizes the integral equation obtained under EUT in previous *** then propose a new approach for solving the integral equation via theory of Volterra *** illustrate our result in the special case of conditionally complete Black-Scholes model.

关键词： Forward performance criteria Rank dependent utility Probability distortion Time consistency Inverse investment problems Volterra integral equations Completely monotonic inverse marginals

Hybrid modeling for carbon monoxide gas-phase catalytic coupling to synthesize dimethyl oxalate process

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Chinese Journal of Chemical Engineering 2024年第6期70卷 234-250页

作者： shida Gao Cuimei Bo Chao Jiang Quanling Zhang Genke yang Jian Chu Ningbo Artificial Intelligence Institute Shanghai Jiao Tong UniversityNingbo 315012China Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Industrial Internet+Safety Production of Hazardous Chemical Ministry of Emergency ManagementNanjing Tech UniversityNanjing 211816China

Ethylene glycol(EG)plays a pivotal role as a primary raw material in the polyester industry,and the syngas-to-EG route has become a significant technical route in *** carbon monoxide(CO)gas-phase catalytic coupling to synthesize dimethyl oxalate(DMO)is a crucial process in the syngas-to-EG route,whereby the composition of the reactor outlet exerts influence on the ultimate quality of the EG product and the energy consumption during the subsequent separation ***,measuring product quality in real time or establishing accurate dynamic mechanism models is *** effectively model the DMO synthesis process,this study proposes a hybrid modeling strategy that integrates process mechanisms and data-driven *** CO gas-phase catalytic coupling mechanism model is developed based on intrinsic kinetics and material balance,while a long short-term memory(LSTM)neural network is employed to predict the macroscopic reaction rate by leveraging temporal relationships derived from archived *** proposed model is trained semi-supervised to accommodate limited-label data scenarios,leveraging historical *** integrating these predictions with the mechanism model,the hybrid modeling approach provides reliable and interpretable forecasts of mass *** investigations unequivocally validate the superiority of the proposed hybrid modeling approach over conventional data-driven models(DDMs)and other hybrid modeling techniques.

关键词： Carbon monoxide Dynamic modeling Hybrid model Reaction kinetics Semi-supervised learning

印度人民党、印度教民族主义与“印度教国家”的构建

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当代世界 2024年第7期 58-63页

作者：王世达中国现代国际关系研究院南亚所

2024年6月,印度执政党印度人民党赢得新一届议会下院(人民院)选举,成功蝉联议会多数席位。现任总理莫迪成为印度历史上第二位三度出任总理的政治人物。印人党与印度教民族主义存在明显的相互促进关系,印人党借助印度教民族主义发展成为... 详细信息

2024年6月,印度执政党印度人民党赢得新一届议会下院(人民院)选举,成功蝉联议会多数席位。现任总理莫迪成为印度历史上第二位三度出任总理的政治人物。印人党与印度教民族主义存在明显的相互促进关系,印人党借助印度教民族主义发展成为印度政坛的关键政治力量,而印度教民族主义大行其道则是印人党胜选根本原因。印人党政府将继续支持印度教民族主义,通过推动修宪、制定和实施《统一民法典》等方式着力构建“印度教国家”,但面临难获修宪所需议会多数支持、国大党等世俗主义政党更强掣肘、南印度“达罗毗荼主义”对抗“北印度中心主义”等因素制约。

关键词：印度印度人民党印度教民族主义国大党

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Detection and Identification of Phytoplasma of Cleome rutidosperma in Areca Palm yellow Leaf Disease Field

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Plant Diseases and Pests 2024年第4期15卷 7-12页

作者： Zhaowei LIN Xiaoqing NIU shida LONG Qinghua TANG Dejie yANG Weiwei SONG Coconut Research Institute of Chinese Academy of Tropical Agricultural Sciences/Hainan Innovation Center of Academician Team Wenchang 571339China

[Objectives]The paper was to detect and identify the phytoplasma of Cleome rutidosperma in areca palm yellow leaf disease(yLD)field in Wenchang City,Hainan Province,China.[Methods]The nested PCR technique was employed to amplify the phytoplasma 16S rDNA of *** samples,followed by sequence ***,this study examined *** in yLD field,collecting symptomatic leaves for phytoplasma detection.[Results]The 16S rDNA sequence of the *** witches'-broom phytoplasma was found to be identical to that of the HNWC5 strain associated with areca palm yellows phytoplasma,leading to the identification of this phytoplasma as belonging to the 16SrII-A *** investigations revealed a higher incidence of *** in areca palm fields,with symptoms of leaf yellows observed in six of these *** PCR(qPCR)analysis confirmed the presence of phytoplasma infection in these instances.[Conclusions]Through the analysis of geographical distribution,sequence alignment,and field occurrence data,a significant correlation has been identified between witches'broom disease and *** is proposed that the former may act as an intermediate host for the areca palm yellows phytoplasma.

关键词： Areca palm yellow leaf disease Phytoplasma Cleome rutidosperma Identification Detection

从反恐优先到地缘政治博弈:美国介入南亚事务新态势及其前景评析

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和平与发展 2024年第3期 154-176,205,206页

作者：杨瑞王世达中国传媒大学外国语言文化学院中国现代国际关系研究院中国现代国际关系研究院南亚所

南亚是中国周边重要地区,该地区的大国势力、战略格局及安全形势对中国的国家主权、边境安全和经济发展具有重要影响。近年来,美国在实施“印太战略”背景下持续调整南亚政策,大幅提升自身在南亚的地缘影响并扩展经济、安全存在,尤其是... 详细信息

南亚是中国周边重要地区,该地区的大国势力、战略格局及安全形势对中国的国家主权、边境安全和经济发展具有重要影响。近年来,美国在实施“印太战略”背景下持续调整南亚政策,大幅提升自身在南亚的地缘影响并扩展经济、安全存在,尤其是将印度视为地区战略的重中之重,深化双边各领域合作,联手态势明显。美国还积极调整对巴基斯坦的政策,利用其新政府上台之机,推动美巴关系触底反弹。美国同时加大对南亚中小国家事务介入,以达到拉拢和控制这些国家的目的。美国上述政策举措对南亚地区的权力结构、安全形势以及中国周边安全和地区战略产生了系列影响,未来美国将在很大程度上延续这些做法,扩大对南亚国家合作及控制力度。但美国持续提升其南亚影响也面临系列因素制约。对此,中国应对美国的南亚战略举措实行差异化应对,并与志同道合及有共同利益的国家合作,更加积极主动地塑造南亚地区的和平与稳定,促进共同繁荣与发展。

关键词：美国印度南亚印太战略地缘政治大国竞争

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南亚三大安全挑战同频共振

Contemporary International Relations 2024年第1期34卷 74-80页

作者： CICIR Task Force Wang shida the Institute of South Asian Studies at CICIR

In 2023, South Asia faced three major security challenges, namely, intensifying US efforts to incorporate South Asia into the “Indo–Pacific” strategy framework, the emergence of India's ambition to dominate South A... 详细信息

关键词：同频共振 India threat

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旋冲钻井技术研究现状与展望

排灌机械工程学报 2024年第5期42卷 497-507页

作者：张诗达朱勇高强苏红江苏大学国家水泵及系统工程技术研究中心江苏镇江212013

随着中国资源勘探开发面向深层、超深层发展以及对应急钻孔救援水平保障能力的更高需求,旋冲钻井技术成为高效钻井领域的研究热点.旋冲钻井技术相较于传统旋转钻井技术,具备硬岩地层钻进效率高、钻压调控灵活、黏滑振动强度低等优势,广... 详细信息

随着中国资源勘探开发面向深层、超深层发展以及对应急钻孔救援水平保障能力的更高需求,旋冲钻井技术成为高效钻井领域的研究热点.旋冲钻井技术相较于传统旋转钻井技术,具备硬岩地层钻进效率高、钻压调控灵活、黏滑振动强度低等优势,广泛应用于深海深地资源勘探开采、应急钻孔救援等领域,具有广阔的应用前景.现阶段,在复杂岩层以及多变工况等条件下,进一步提高旋冲钻进效率、降低成本成为深井、超深井钻井过程中面临的首要任务.文中首先介绍了旋冲钻井技术的基本概念及优势;其次,综述了液动和气动2种冲击器的研制情况及结构特点;再次,讨论了高效破岩机制的研究进展和优化策略;从次,阐述了钻进效率关键影响因素方面的研究成果;最后,基于旋冲钻井技术研究成果和面临的挑战,对其未来研究方向进行了分析和展望.

关键词：旋冲钻井动力方式钻进效率破岩机理高效破岩