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Seeker optimization algorithm:a novel stochastic search algorithm for global numerical optimization

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Journal of Systems Engineering and Electronics 2010年第2期21卷 300-311页

作者： Chaohua Dai weirong chen Yonghua Song Yunfang Zhu School of Electrical Engineering Southwest Jiaotong University Chengdu 610031 R R. China Department of Electronic Engineering Tsinghua University Beijing 100084 R R. China Department of Computer and Communication Engineering E'mei Campus Southwest Jiaotong University E'mei 614202 P. R. China

A novel heuristic search algorithm called seeker op- timization algorithm （SOA） is proposed for the real-parameter optimization. The proposed SOA is based on simulating the act of human searching. In the SOA, search direction is based on empir- ical gradients by evaluating the response to the position changes, while step length is based on uncertainty reasoning by using a simple fuzzy rule. The effectiveness of the SOA is evaluated by using a challenging set of typically complex functions in compari- son to differential evolution （DE） and three modified particle swarm optimization （PSO） algorithms. The simulation results show that the performance of the SOA is superior or comparable to that of the other algorithms.

关键词： swarm intelligence global optimization human searching behaviors seeker optimization algorithm.

Real-time Energy Management Method for Electric-hydrogen Hybrid Energy Storage Microgrids Based on DP-MPC

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 324-336页

作者： Qi Li Xueli Zou Yuchen Pu weirong chen School of Electrical Engineering Southwest Jiaotong UniversityChengdu 611756China

With the increasing presence of intermittent energy resources in microgrids,it is difficult to precisely predict the output of renewable resources and their load *** order to realize the economical operations of the system,an energy management method based on a model predictive control(MPC)and dynamic programming(DP)algorithm is *** method can reasonably distribute the energy of the battery,fuel cell,electrolyzer and external grid,and maximize the output of the distributed power supply while ensuring the power balance and cost optimization of the *** on an ultra-shortterm forecast,the output power of the photovoltaic array and the demand power of the system load are *** offline global optimization of traditional dynamic programming is replaced by the repeated rolling optimization in a limited period of time to obtain power values of each unit in the energy storage *** with the traditional DP,MILP-MPC and the logic based real-time management method,the proposed energy management method is proved to be feasible and effective.

关键词： Electric-hydrogen hybrid energy economic energy management improved dynamic programming microgrid model predictive control

Two-stage Scheduling for Island CPHH IES Considering Plateau Climate

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CSEE Journal of Power and Energy Systems 2024年第4期10卷 1775-1786页

作者： Yuchen Pu Qi Li Yibin Qiu Xueli Zou weirong chen School of Electrical Engineering Southwest Jiaotong UniversityChengdu 611756China

In this paper,an island integrated energy system(IES)combining power,heat and hydrogen(CPHH)is built,and optimal power-heat-hydrogen scheduling is studied under actual plateau meteorological *** the comprehensive demands of residents,an IES including renewable energy sources(RESs),fuel cell,electrolyzer,electric boiler,thermal energy storage device and new energy vehicles is established and *** the first stage of operation,according to the prediction of RESs and demands,day-ahead optimization is carried out which aims to minimize operation cost,while electric vehicles(EVs)are considered as special demand response(DR)*** the second stage of operation,ultra-short-term prediction is implemented to provide prediction data for model predictive control(MPC),realizing real-time *** as a CPHH system,the fuel cell and electrolyzer collaborate to meet various needs of the plateau residential area with high *** addition,the method and IES structure proposed in this paper is compared with other options.

关键词： CPHH feul cell hydrogen island IES scheduling

Fe-B-Y-Nb bulk metallic glasses in relation to clusters

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Science China(Physics,Mechanics & Astronomy) 2008年第4期51卷 421-426页

作者： chenG Xu WANG Qing chen weirong DONG Chuang State Key Laboratory of Materials Modification Dalian University of TechnologyDalian 116024China Department of Mechanical Engineering Dalian UniversityDalian 116622China

Bulk metallic glass formations in the Fe-B-Y-Nb quaternary alloy system were in-vestigated by using the cluster line rule in combination with the minor alloying principle. The Fe-B-Y ternary system was selected as the basic system and the intersections of cluster lines were taken as the basic ternary compositions. The basic compositions were further alloyed with minor amounts of Nb. After 3-5 at.% Nb was added,the basic composition Fe68.6B25.7Y5.7,which was developed from the most densely packed cluster Fe8B3,formed 3 mm bulk metallic glasses. These quaternary bulk metallic glasses (Fe68.6B25.7Y5.7)100-xNbx (x=3-5 at.%) are expressed approximately with a unified simple composition formula: (Fe8B3)1(Y,Nb)1. The (Fe68.6B25.7Y5.7)97Nb3 bulk metallic glass has the largest glass forming ability with the following characteristic parameters Tg=907 K,Tx=1006 K,Tg/Tl=0.644,γ=0.434,and longness t=22 mm. The combination of the cluster line rule and the minor-alloying principle is a promising new route towards the quantitative composition design of multi-component metallic glasses.

关键词： bulk metallic glass Fe-B-Y-Nb alloys cluster composition design

Stability-constrained Two-stage Robust Optimization for Integrated Hydrogen Hybrid Energy System

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CSEE Journal of Power and Energy Systems 2021年第1期7卷 162-171页

作者： Qi Li Yibin Qiu Hanqing Yang Yan Xu weirong chen Peng Wang the School of Electrical Engineering Southwest Jiaotong UniversityChengdu 611756China the School of Electrical and Electronic Engineering Nanyang Technological University639798Singapore

In order to cope with the challenges brought by multiple uncertainties to integrated hydrogen hybrid energy systems,a stability-constrained two-stage robust optimization method considering small disturbance stability and characteristics of dynamic response is proposed in this *** the first operating stage,the charging/discharging state of the battery and the startstop state of the electrolyzer and fuel cell are ***,power constraints for stabilizing ESSs power output is considered between the first and second stage optimization to improve the small disturbance stability of the robust operation ***,the goal of minimizing the operation cost and determine a robust operation operating plan under the worst case is conducting in the second stage *** the small-signal model with time-delay effect,the eigenvalue analysis method is used to find the ESSs power range,and the small-signal stability of obtained robust operation plan can be ***,the effectiveness and superiority of the proposed method are proved by comparing with the traditional static robust optimization *** of uncertain parameters on economy and stability are also investigated in a typical example.

关键词： Eigenvalue analysis integrated hydrogen hybrid energy system robust optimization stability-constrained

Hierarchical distributed control for decentralized battery energy storage system based on consensus algorithm with pinning node

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Protection and Control of Modern Power Systems 2018年第1期3卷 52-60页

作者： Hanqing Yang Shihan Li Qi Li weirong chen School of Electrical Engineering Southwest Jiaotong UniversityPO Box 610031ChengduChina

A decentralized battery energy storage system(DBESS)is used for stabilizing power fluctuation in DC *** state of charge(SoC)among various battery energy storage units(BESU)during operation will reduce batteries’service life.A hierarchical distributed control method is proposed in this paper for SoC balancing and power control according to dispatching center requirement in DBESS.A consensus algorithm with pinning node is employed to allocate power among BESUs in the secondary control whereas in the primary control,the local controller of BESU adjusts output power according to the reference power from secondary *** of BESUs are selected to be pinning node for accepting command from dispatching center while other BESUs as following nodes which exchange output power and SoC information with the adjacent nodes through communication *** calculating reference power of each BESU by adopting consensus algorithm,the power sharing in DBESS is achieved according to their respective SoC of ***,the total output power of DBESS follows the varying requirements of dispatching *** stability of DBESS is also improved because of having no center *** feasibility of the proposed control strategy is validated by simulation results.

关键词： Decentralized battery energy storage system Hierarchical distributed control Consensus algorithm Pinning node

Research on Interpolation Method for Missing Electricity Consumption Data

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Computers, Materials & Continua 2024年第2期78卷 2575-2591页

作者： Junde chen Jiajia Yuan weirong chen Adnan Zeb Md Suzauddola Yaser A.Nanehkaran Department of Electronic Commerce Xiangtan UniversityXiangtan411105China School of Information Engineering Yancheng Teachers UniversityYancheng224000China Department of Information and Electrical Engineering Ningde Normal UniversityNingde352100China College of Engineering Southern University of Science and TechnologyShenzhen518005China School of Informatics Xiamen UniversityXiamen361005China

Missing value is one of the main factors that cause dirty *** high-quality data,there will be no reliable analysis results and precise ***,the data warehouse needs to integrate high-quality data *** the power system,the electricity consumption data of some large users cannot be normally collected resulting in missing data,which affects the calculation of power supply and eventually leads to a large error in the daily power line loss *** the problem of missing electricity consumption data,this study proposes a group method of data handling(GMDH)based data interpolation method in distribution power networks and applies it in the analysis of actually collected electricity ***,the dependent and independent variables are defined from the original data,and the upper and lower limits of missing values are determined according to prior knowledge or existing data *** missing data are randomly interpolated within the upper and lower ***,the GMDH network is established to obtain the optimal complexity model,which is used to predict the missing data to replace the last imputed electricity consumption *** last,this process is implemented iteratively until the missing values do not *** a relatively small noise level(α=0.25),the proposed approach achieves a maximum error of no more than 0.605%.Experimental findings demonstrate the efficacy and feasibility of the proposed approach,which realizes the transformation from incomplete data to complete ***,this proposed data interpolation approach provides a strong basis for the electricity theft diagnosis and metering fault analysis of electricity enterprises.

关键词： Data interpolation GMDH electricity consumption data distribution system

Optimization of Operating Conditions to Maximize PEMFC Performance by Orthogonal Test Method and RSM 36

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Optimization of Operating Conditions to Maximize PEMFC Perfo...

Two-stage distributionally robust optimization-based coordinated scheduling of integrated energy system with electricity-hydrogen hybrid energy storage

第36届中国控制会议

作者： weirong chen Youxian Liu Zhuo Niu Xuexia Zhang School of Electrical Engineering Southwest Jiaotong University

ISBN: (纸本)9781538629185

Optimization of operating parameters on PEMFC to obtain maximum power has a significant role to reduce the costs of this emerging *** this study,the operation parameters of PEMFC are optimized by the orthogonal experiment method and Central composite second order Response Surface Methodology(RSM).Three significant parameters including cathode stoichiometry,anode stoichiometry and control voltage of hydrogen tail gas valve are studied to obtain an optimal cell *** two tests reveal that the effect of air stoichiometric ratio on PEMFC performance is the largest under the high current in the selected range,while the effect of control voltage of hydrogen tail gas valve is the *** the comparison of orthogonal experiment method and RSM,the optimum results show that RSM can be more accurate to predict the maximum power and the optimal values of the operating parameters.

关键词： PEMFC performance optimization orthogonal test RSM

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Protection and Control of Modern Power Systems 2023年第2期8卷 278-291页

作者： Yibin Qiu Qi Li Yuxuan Ai weirong chen Mohamed Benbouzid Shukui Liu Fei Gao School of Electrical Engineering Southwest Jiaotong UniversityChengdu 610031China Institut National des Sciences Appliquées de Rennes 35700 RennesFrance UMR CNRS 6027 IRDL University of Brest29238 BrestFrance Logistics Engineering College Shanghai Maritime UniversityShanghai 201306China chengdu Power Supply Company State Grid Sichuan Electric Power CompanyChengdu 610000China CNRS Institut FEMTO-STUniversitéde Technologie de Belfort-Montbéliard90000 BelfortFrance.

A coordinated scheduling model based on two-stage distributionally robust optimization(TSDRO)is proposed for integrated energy systems(IESs)with electricity-hydrogen hybrid energy *** scheduling problem of the IES is divided into two stages in the TSDRO-based coordinated scheduling *** first stage addresses the day-ahead optimal scheduling problem of the IES under deterministic forecasting information,while the sec-ond stage uses a distributionally robust optimization method to determine the intraday rescheduling problem under high-order uncertainties,building upon the results of the first *** scheduling model also considers col-laboration among the electricity,thermal,and gas networks,focusing on economic operation and carbon *** flexibility of these networks and the energy gradient utilization of hydrogen units during operation are also incor-porated into the *** improve computational efficiency,the nonlinear formulations in the TSDRO-based coordinated scheduling model are properly linearized to obtain a Mixed-Integer Linear Programming *** Column-Constraint Generation(C&CG)algorithm is then employed to decompose the scheduling model into a mas-ter problem and *** the iterative solution of the master problem and subproblems,an efficient analysis of the coordinated scheduling model is ***,the effectiveness of the proposed TSDRO-based coordinated scheduling model is verified through case *** simulation results demonstrate that the proposed TSDRO-based coordinated scheduling model can effectively accomplish the optimal scheduling task while consider-ing the uncertainty and flexibility of the *** with traditional methods,the proposed TSDRO-based coordinated scheduling model can better balance conservativeness and robustness.

关键词： Two-stage distributionally robust optimization Optimal scheduling Integrated energy systems Hydrogen Uncertainty