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Multi-objective microgrid optimal dispatching based on improved bird swarm algorithm

Global Energy Interconnection 2022年第2期5卷 154-167页

作者： Xiaoyan Ma Yunfei Mu Yu Zhang Chenxi Zang shurong li Xinyang Jiang Meng Cui Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072P.R.China Global Energy Interconnection Development and Cooperation Organization Beijing 100031P.R.China Xiamen University Xiamen 361102P.R.China State Grid Xiongan New Area Electric Power Supply Company Baoding 071700P.R.China State Grid Baoding Electric Power Supply Company Baoding 071000P.R.China

Multi-objective optimal dispatching schemes with intelligent algorithms are recognized as effective measures to promote the economics and environmental friendliness of microgrid ***,the low accuracy and poor convergence of these algorithms have been challenging for system *** bird swarm algorithm(BSA),a new bio-heuristic cluster intelligent algorithm,can potentially address these challenges;however,its computational iterative process may fall into a local optimum and result in premature convergence when optimizing small portions of multi-extremum *** analyze the impact of a multi-objective economic-environmental dispatching of a microgrid and overcome the aforementioned problems of the BSA,a self-adaptive levy flight strategy-based BSA(LF-BSA)was *** can solve the dispatching problems of microgrid and enhance its dispatching convergence accuracy,stability,and speed,thereby improving its optimization *** typical test functions were used to compare the LF-BSA with three commonly accepted algorithms to verify its ***,a typical summer-time daily microgrid scenario under grid-connected operational conditions was *** results proved the feasibility of the proposed LF-BSA,effectiveness of the multi-objective optimization,and necessity of using renewable energy and energy storage in microgrid dispatching optimization.

关键词： Microgrid Operation optimization Bird swarm algorithm Levy flight strategy Self-adaptive

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In situ Injectable Tetra-PEG Hydrogel Bioadhesive for Sutureless Repair of Gastrointestinal Perforation

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Chinese Journal of Chemistry 2023年第23期41卷 3339-3348页

作者： shurong li Yiwen Xian Gang He Luyuan Chen Zhihui Chen Yonglong Hong Chong Zhang Decheng Wu Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical EngineeringSouthern University of Science and TechnologyNo.1088 Xueyuan AvenueNanshan DistrictShenzhenGuangdong518055 China These authors contribute equally. Stomatology Center Shenzhen HospitalSouthern Medical UniversityNo.1333 New RoadBaoan DistrictShenzhenGuangdong518101 China

Hydrogel bioadhesives represent promising and efficient alternatives to sutures or staples for gastrointestinal(GI)perforation ***,several concerns remain for the existing bioadhesives including slow and/or weak adhesive,poor mechanical strength,low biocompatibility,and poor biodegradability,which largely limit their clinical application in GI perforation *** this work,we introduce an in situ injectable Tetra-PEG hydrogel bioadhesive(SS)composed of tetra-armed poly(ethylene glycol)amine(Tetra-PEG-NH2)and tetra-armed poly(ethylene glycol)succinimidyl succinate(Tetra-PEG-SS)for the sutureless repair of GI *** SS hydrogel exhibits rapid gelation behavior and high burst pressure and is capable of providing instant robust adhesion and fluid-tight sealing in the ex vivo porcine intestinal and gastric ***,the succinyl ester linkers in the SS hydrogel endow the bioadhesive with suitable in vivo degradability to match the new GI tissue *** in vivo evaluation in the rat GI injured model further demonstrates the successful sutureless sealing and repair of the intestine and stomach by the SS hydrogel with the advantages of neglectable postsurgical adhesion,suppressed inflammation,and enhanced ***,our results support potential clinical applications of the SS bioadhesive for the high-efficient repair of GI perforation.

关键词： Gastrointestinal perforation Bioadhesives Gels Biological activity Sutureless repair Regenerative wound healing

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A series of heterometallic 3d-4f polyoxometalates as single-molecule magnets

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Chinese Chemical Letters 2023年第3期34卷 438-441页

作者： shurong li Zhenzhang Weng linpeng Jiang Rongjia Wei Haifeng Su Lasheng Long Lansun Zheng Xiangjian Kong Collaborative Innovation Center of Chemistry for Energy Materials State Key Laboratory of Physical Chemistry of Solid Surfaces and Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China College of Chemistry and Materials Science Jinan UniversityGuangzhou 510632China

Three sandwich-like[Ln_(2)Fe_(2)(B-α-FeW_9O_(34))_(2)]^(10-) clusters(Ln_(2)Fe_(4),Ln=Dy(1),Ho(2),and Y(3)) were obtained by reacting Na_9[B-α-SbW_9O_(33)],Ln_(2)O_(3),FeCl_(3)·6H_(2)O and KH_(2)PO_(4).The[B-α-FeW_9O_(34)]^(11-) units were formed via the in situ conversion of lacunary polyoxometalates(POM)[B-α-SbW_9O_(33)]^(9-)and the Ln^(3+)ions were generated from the slow dissolution of Ln_(2)O_(3),both of which play important roles in the synthesis of Ln_(2)Fe_(4).Ln_(2)Fe_(4) is the first 3d-4f cluster assembled from d-metal heteroatom-containing *** Dy_(2)Fe_(4) cluster exhibits single-molecule magnet properties with an 80 K energy barrier in an optimal DC *** voltammetry tests and controlled-potential coulometry experiments show that the polyoxometalate Fe heteroatom in clusters 1-3 is also electrochemically active.

关键词： Polyoxometalates 3d-4f Cluster Lanthanide Single-molecule magnet

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WU-RITT'S METHOD FOR NONliNEAR CONTROL SYSTEMS

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Systems Science and Mathematical Sciences 1994年第3期7卷 223-228页

作者： li shurong (Institute of Systems Science, Academia Sinica, Beijing 100080, China) 中科院系统科学所北京

ＷＵ－ＲＩＴＴ＇ＳＭＥＴＨＯＤＦＯＲＮＯＮＬＩＮＥＡＲＣＯＮＴＲＯＬＳＹＳＴＥＭＳ￥ＬＩＳｈｕｒｏｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎｇ１０００８０，Ｃ... 详细信息

ＷＵ－ＲＩＴＴ＇ＳＭＥＴＨＯＤＦＯＲＮＯＮＬＩＮＥＡＲＣＯＮＴＲＯＬＳＹＳＴＥＭＳ￥ＬＩＳｈｕｒｏｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎｇ１０００８０，Ｃｈｉｎａ）Ａｂｓｔｒａｃｔ：Ｔｈｉ...

关键词： Differential algebra Wu-Ritt’s zero-decomposition theorem projection theorem elimination nonlinear control systems.

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A novel multimodal prediction model based on DNA methylation biomarkers and low-dose computed tomography images for identifying early-stage lung cancer

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Chinese Journal of Cancer Research 2023年第5期35卷 511-525页

作者： Jing Zhang Haohua Yao Chunliu Lai Xue Sun Xiujuan Yang shurong li Yubiao Guo Junhang Luo Zhihua Wen Kejing Tang Division of Pulmonary and Critical Care Medicine the First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510080China Department of Urology Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510080China Department of Respiratory and Critical Care Medicine the Fourth People’s Hospital of ShenyangShenyang 110031China Department of Pharmacy Zhujiang HospitalSouthern Medical UniversityGuangzhou 510280China Department of Radiology the First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510080China Department of Urology the First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510080China Department of Pharmacy the First Affiliated Hospital of Sun Yat-Sen UniversityGuangzhou 510080China

Objective:DNA methylation alterations are early events in carcinogenesis and immune signalling in lung *** study aimed to develop a model based on short stature homeobox 2 gene (SHOX2)/prostaglandin E receptor 4gene (PTGER4) DNA methylation in plasma,appearance subtype of pulmonary nodules (PNs) and low-dose computed tomography (LDCT) images to distinguish early-stage lung ***:We developed a multimodal prediction model with a training set of 257 *** performance of the multimodal prediction model was further validated in an independent validation set of 42 *** addition,we explored the association between SHOX2/PTGER4 DNA methylation and driver gene mutations in lung cancer based on data from The Cancer Genome Atlas (TCGA) ***:There were significant differences between the early-stage lung cancers and benign groups in the methylation *** area under a receiver operator characteristic curve (AUC) of SHOX2 in patients with solid nodules,mixed ground-glass opacity nodules and pure ground-glass opacity nodules were 0.693,0.497 and 0.864,respectively,while the AUCs of PTGER4 were 0.559,0.739 and 0.619,*** the highest AUC of0.894,the novel multimodal prediction model outperformed the Mayo Clinic model (0.519) and LDCT-based deep learning model (0.842) in the independent validation *** analysis demonstrated that patients with SHOX2/PTGER4 DNA hypermethylation were enriched in TP53 ***:The present multimodal prediction model could more efficiently distinguish early-stage lung cancer from benign PNs.A prognostic index based on DNA methylation and lung cancer driver gene alterations may separate the patients into groups with good or poor prognosis.

关键词： Pulmonary nodules susceptible loci serum tumor biomarkers polygenic risk score diagnosis

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Newton-conjugate gradient (CG) augmented Lagrangian method for path constrained dynamic process optimization

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控制理论与应用（英文版） 2012年第2期10卷 223-228页

作者： Qiang ZHANG, shurong li, Yang LEI, Xiaodong ZHANG College of Information and Control Engineering, China University of Petroleum (East China), Qingdao Shandong 266555, China College of Information and Control Engineering China University of Petroleum (East China) Qingdao Shandong China

In this paper, a Newton-conjugate gradient （CG） augmented Lagrangian method is proposed for solving the path constrained dynamic process optimization problems. The path constraints are simplified as a single final time constraint by using a novel constraint aggregation function. Then, a control vector parameterization （CVP） approach is applied to convert the constraints simplified dynamic optimization problem into a nonlinear programming （NLP） problem with inequality constraints. By constructing an augmented Lagrangian function, the inequality constraints are introduced into the augmented objective function, and a box constrained NLP problem is generated. Then, a linear search Newton-CG approach, also known as truncated Newton （TN） approach, is applied to solve the problem. By constructing the Hamiltonian functions of objective and constraint functions, two adjoint systems are generated to calculate the gradients which are needed in the process of NLP solution. Simulation examlales demonstrate the effectiveness of the algorithm.

关键词： Dynamic process optimization Constraint aggregation Augmented Lagrangian Newton-CG approach Adjoint formulation

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Dynamic Output Feedback Based Robust Controller Design for Selective Catalytic Reduction Systems

Dynamic Output Feedback Based Robust Controller Design for S...

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第31届中国过程控制会议（CPCC2020）

作者： WANG Baigeng li shurong Automation school Beijing University of Posts and Telecommunications

Selective catalytic reduction(SCR) is an effective way to deal with the flue gas at the outlet of coal-fired boiler. The working process of SCR systems is to use the ammonia(NH3) adsorbed on the catalyst to react with nitrogen oxide(NOx) to generate nitrogen and water. This paper presents an observer based dynamic output feedback control for SCR systems. Since NH3 coverage ratio cannot be measured directly, a reduced order observer is designed first. And then it is proved that the error of observer tends to 0 by using Lyapunov function. Furthermore, the dynamic equation of the composite system including the observer state is obtained. Finally, the controller is designed to adjust the rate of NH3 injection in order to satisfy the industrial demand.

关键词： Selective catalytic reduction Dynamic output feedback Reduced order observer Robust control Lyapunov function

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A quantum krill herd algorithm based chance constrained programming for surfactant flooding

A quantum krill herd algorithm based chance constrained prog...

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第32届中国控制与决策会议

作者： Zhe liu shurong li Automation School Beijing University of Posts and Telecommunications

This paper presents a chance constrained programming（CCP） based on quantum krill herd algorithm（QKH）to solve an engineering optimization for surfactant flooding in oil ***,an optimal control model describing surfactant flooding mechanism is *** this model,the fluctuant oil price is the uncertainty needs to be addressed,the injection concentration of surfactant is the control variable and the net present value is the objective *** chance constrained programming（CCP） is adopted to transform the uncertain model into a deterministic nonlinear programming *** a quantum krill herd algorithm（QKH） is presented to solve the *** with the standard krill herd algorithm（KH）,QKH has a superior global searching ability and computational efficiency owing to the quantum *** last,an actual optimization model for surfactant flooding is solved by the proposed method and the optimal injection strategy is obtained.

关键词： Quantum krill herd algorithm Chance constrained programming Surfactant flooding

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Speed Control of Brushed DC Motor Based on LADRC and ADRC

Speed Control of Brushed DC Motor Based on LADRC and ADRC

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第35届中国过程控制会议

作者： Minghao liao shurong li College of Artificial Intelligence Beijing University of Posts and Telecommunications

This paper presents a comprehensive study on the application of Active Disturbance Rejection Control(ADRC) and linear ADRC(LADRC) techniques for the control of brushed direct current(DC) motors. The objective is to enhance the performance of these motors in terms of speed regulation and disturbance rejection. The paper demonstrates how these advanced control strategies can effectively cope with uncertainties inherent in brushed DC motors, resulting in improved precision and stability. Comparative analysis with traditional control methods highlights the superiority of ADRC and LADRC in achieving faster response times and higher robustness against external disturbances and parameter variations. Theoretical discussions are substantiated with experimental results, showcasing the practical benefits and feasibility of implementing ADRC and LADRC in real-world motor control applications. This study contributes to the field of electrical engineering by providing insights into the potential of ADRC and LADRC for enhancing the performance of brushed DC motors, which are widely used in various industrial and automotive applications.

关键词： ADRC LADRC Brushed DC Robustness

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Modelling A Class of DPS by CNN-IENN and Application to Surfactant Flooding

Modelling A Class of DPS by CNN-IENN and Application to Surf...

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第32届中国过程控制会议(CPCC2021)

作者： Guanlin li shurong li Zhe liu College of Artificial Intelligence Beijing University of Posts and Telecommunications

Surfactant flooding(SF),a class of crucial tertiary recovery technology,is essentially a complex distributed parameter system(DPS) with a series of high dimensional partial differential equations(PDEs).It has considerable computational complexity to solve the first principle model ***,a data-driven neural network model based on convolutional and improved Elman neural network(CNN-IENN) is designed in this study,which has the following features:(i) we independently create a CNN to extract water saturation characteristics,which has a stable and efficient receptive field,(ii) adding a self-feedback weight to the acceptor layer is designed to enhance the capacity of ENN with the aid of a smaller scale of neurons,and(iii) a framework integrates the IENN within the CNN is proposed to improve the modelling in terms of accuracy,precision,and recall *** final output is water saturation of multiple reservoir grids,which can be captured based on the given surfactant injection scheme and the proposed data-driven ***,a real-life case study of SF is taken in this *** superiorities of the proposed modelling method in accuracy,precision,and recall rates are verified compared with two widely-recognized methods.

关键词： Distributed Parameter System Surfactant flooding Convolutional Neural Network Elman Neural Network

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