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Dual temperature parameter control of PEMFC stack based on improved differential evolution algorithm

RENEWABLE ENERGY 2025年 241卷

作者： Chen, Xi Feng, Wentao You, Shuhuai Hu, Yukang Wan, Yixin Zhao, Bin Hunan Inst Sci & Technol Sch Energy & Elect Engn Yueyang 414006 Peoples R China Hunan Inst Sci & Technol Coll Mech Engn Yueyang 414006 Peoples R China Changsha Univ Sci & Technol Sch Elect & Informat Engn Changsha 410000 Peoples R China Hunan Zhongding Thermal Technol Co LTD Yueyang 414006 Peoples R China First High Sch Yueyang Yueyang 414006 Peoples R China

Temperature is a vital parameter that impacts the capability and lifespan of proton exchange membrane fuel cell (PEMFC). Proper temperature control can effectively prevent membrane dehydration or catalyst activity degradation, thereby enhancing the performance of PEMFC. In this paper, a temperature management system model based on dual proportional integral differential (PID) controllers is established to accurately control the temperature of the cooling water and stack. An improved differential evolution algorithm (IDE) is designed to adjust the mutation factor, crossover factor and search range. The parameters of the dual IDE-PID controllers are synchronously optimized to maintain a temperature difference of approximately 5 K between the inlet cooling water and stack. The performance of IDE-PID controller is compared with other control strategies. The results show that the overshoot of IDE-PID controller in controlling the stack temperature is lowered by 83 %, 77 %, and 75 % compared to the Fuzzy-PID, GA (genetic algorithm)-PID and PSO (particle swarm optimization)-PID, respectively. The temperature fluctuations of stack can be controlled below 0.15 K. Meanwhile, IDE-PID controller has a stable control effect at different pressures, relative humidities and air excess ratios. The system is able to make rapid adjustments in the event of sudden external disturbances.

关键词： PEMFC Temperature control Dual PID controllers improved differential evolution algorithm

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Cluster voltage control method for “Whole County” distributed photovoltaics based on improved differential evolution algorithm

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Frontiers in Energy 2023年第6期17卷 782-795页

作者： Jing ZHANG Tonghe WANG Jiongcong CHEN Zhuoying LIAO Jie SHU School of Energy Science and Engineering University of Science and Technology of ChinaHefei 230026China Guangzhou Institute of Energy Conversion Chinese Academy of SciencesGuangzhou 510640China Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering Changzhou 213001China

China is vigorously promoting the “whole county promotion” of distributed photovoltaics (DPVs). However, the high penetration rate of DPVs has brought problems such as voltage violation and power quality degradation to the distribution network, seriously affecting the safety and reliability of the power system. The traditional centralized control method of the distribution network has the problem of low efficiency, which is not practical enough in engineering practice. To address the problems, this paper proposes a cluster voltage control method for distributed photovoltaic grid-connected distribution network. First, it partitions the distribution network into clusters, and different clusters exchange terminal voltage information through a “virtual slack bus.” Then, in each cluster, based on the control strategy of “reactive power compensation first, active power curtailment later,” it employs an improved differential evolution (IDE) algorithm based on Cauchy disturbance to control the voltage. Simulation results in two different distribution systems show that the proposed method not only greatly improves the operational efficiency of the algorithm but also effectively controls the voltage of the distribution network, and maximizes the consumption capacity of DPVs based on qualified voltage.

关键词： distributed photovoltaics(DPVs) cluster partitioning improved differential evolution algorithm voltage control consumption capacity of distributed photovoltaics

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improved differential evolution algorithm FOR SOLVING MULTI-PERSON NONCOOPERATIVE GAME

JOURNAL OF NONLINEAR FUNCTIONAL ANALYSIS

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JOURNAL OF NONLINEAR FUNCTIONAL ANALYSIS 2022年 2022卷

作者： Li, Huimin Xiang, Shuwen Huang, Shiguo Jia, Wensheng Yang, Yanlong Guizhou Univ Coll Math & Stat Guiyang 550025 Peoples R China Guiyang Univ Coll Math & Informat Sci Guiyang 550005 Peoples R China Zhengzhou Univ Light Ind Dept Math & Informat Sci Zhengzhou 450002 Peoples R China

In this paper, the nonzero sum multi-person noncooperative game is considered, and this game can be viewed as a global optimization problem. For solving this problem, an improved differential evolution algorithm is proposed. Our algorithm combines multi-strategy differential operators and crossover operators with a random walk. First, the population is initialized by a set of good points. Second, the single mutation mode is replaced by a multi-mode. Meanwhile, a random walk mechanism is introduced in the crossover process of the differential evolution algorithm. The convergence of the improved algorithm is then proved by using an infinite product method. Finally, the proposed algorithm is illustrated via some numerical examples, and the experimental results show that the proposed new algorithm can solve the multi-person game.

关键词： Global optimization problem improved differential evolution algorithm Multi-person noncooperative game Nash equilibrium

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COLREGs-compliant unmanned surface vehicles collision avoidance based on improved differential evolution algorithm

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EXPERT SYSTEMS WITH APPLICATIONS 2024年第PartB期237卷

作者： Xiao, Zhongming Lu, Xinzhu Ning, Jun Liu, Dapei Dalian Maritime Univ Nav Coll Dalian 116026 Peoples R China Univ Lisbon Inst Super Tecn Naval Architecture & Ocean Engn P-1049001 Lisbon Portugal

Unmanned surface vessel (USV) has a wide range of applications in oceanographic research, resource development, environment detection, and security rescue due to its advantages of maneuverability, flexibility, fast response, and intelligence. The ability of USVs to autonomously and effectively avoid obstacles in highly dynamic and uncertain marine environments is a prerequisite for the successful completion of their tasks. Therefore, in this article, a USV collision avoidance based on International Regulations for Preventing Collisions at Sea and the Collision Risk Model with the improved differential evolution algorithm (CRI-DE) has been considered. Based on the International Regulations for Preventing Collisions at Sea (COLREGs) and common practices of seafarers, an improved ship collision risk model is proposed. Specifically, the model is innovatively combined with the differential evolution algorithm (DE) as a constraint condition to further realize path planning in complex situations. Moreover, chaotic multi-population parallel optimization, parameter adaptive adjustment strategy, and the construction of fitness function based on individual path points are added to the DE. In this way, the ability to escape from local optima and enrich population diversity can be guaranteed. Finally, experiments based on the proposed CRI-DE are conducted and the results indicate the efficiency and effectiveness of the proposed method.

关键词： Multi-ship collision avoidance improved differential evolution algorithm Collision risk model Path planning

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Modeling the interaction between a new four-bar subsoiling mechanism and red soil using the improved differential evolution algorithm and DEM

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COMPUTERS AND ELECTRONICS IN AGRICULTURE 2023年第1期208卷

作者： Zhang, Lei Zhai, Yibin Wu, Chuanyu Huang, Shouzhi Zhang, Zhien Zhejiang Sci Tech Univ Sch Mech Engn Hangzhou 310018 Peoples R China Key Lab Transplanting Equipment & Technol Zhejiang Hangzhou 310018 Peoples R China

Because of the poor subsoiling effects and high tillage resistances of small subsoiling machines when used on red soil in southern China, a new subsoiling mechanism based on functional bionics and an optimization method that employed an improved differential evolution (IDE) algorithm are proposed in this paper. The tillage performance was improved by causing the subsoiler to mimic the digging motion of a mole forefoot. The path synthesis of the subsoiling mechanism was solved by the IDE, and the tillage performance of the four-bar bionic subsoiling mechanism was evaluated by the discrete element method. First, the digging trajectory of the mole forefoot was mapped as the desired subsoiling trajectory. An optimization model for the path synthesis was established to minimize the position error between the desired subsoiling trajectory and the coupler curve of the mechanism;it was solved by the differential evolution algorithm with improvements in the mutation and crossover operations. It was found that the IDE could more rapidly search for a more accurate solution. The optimization results were used to design a bionic subsoiling mechanism that could mimic the digging trajectory of a mole forefoot. Second, the microscopic contact parameters among the soil particles were calibrated by soil accumulation and direct shear tests. In addition, a discrete element soil model was established that included dual coupling of variable contact models for the tillage layer and the plow pan. The tillage processes of an existing common subsoiling mechanism (CSM), the bionic subsoiling mechanism equipped with a common subsoiler (BSM&CS), and the bionic subsoiling mechanism equipped with a bionic subsoiler (BSM&BS) were analyzed by a joint ADAMS and EDEM simulation. The simulation results were analyzed according to established evaluation indexes for tillage performance. The comprehensive soil disturbance performance of the BSM&CS improved by 257.03% and its drag reduced by 10.87% from th

关键词： Functional bionics improved differential evolution algorithm Subsoiling mechanism DEM Soil model

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FRACTIONAL ACTIVE DISTURBANCE REJECTION CONTROLLER BASED ON improved differential evolution algorithm 17

FRACTIONAL ACTIVE DISTURBANCE REJECTION CONTROLLER BASED ON ...

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ASME International Design Engineering Technical Conferences / 41st Annual Computers and Information in Engineering Conference (IDETC-CIE) / 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)

作者： Liang, Henghui Yu, Wei Chen, Rui Luo, Ying Foshan Univ Sch Mechatron Engn & Automat Foshan 528000 Guangdong Peoples R China Huazhong Univ Sci & Technol Sch Mech Sci & Engn Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9780791885437

Although the active disturbance rejection controller can obtain good control performance without relying on specific model information, it targets integer-order systems. Fractional-order characteristics are commonly existed in practical systems. For fractional-order systems, it is more targeted to use the order information of the fractional-order model to design the active disturbance rejection controller, so as to obtain better control performance. A fractional active disturbance rejection controller composed of FOESO and FOPID (IDE-FOPID-FOESO) is proposed in this paper. The fractional-order extended state observer (FOESO) is designed based on the order information and the nonlinear state error feedback is replaced by the fractional-order PID controller(FOPID) whose parameters are obtained by the improved differential evolution algorithm (IDE). For IDE algorithm, the basis vector is randomly selected from the optimal individual population in the mutation strategy, and the scaling factor and cross-probability factor are adaptively adjusted according to the information of the successfully mutated individual in the search process to improve the exploration and mining capabilities of the algorithm. The simulation results show that the IDE algorithm can obtain the better parameters of FOPID faster compared with traditional DE algorithm and the IDE-FOPID-FOESO controller can be better applied to fractional-order systems with better control performance.

关键词： Fractional active disturbance rejection controller Fractional-order extended state observer improved differential evolution algorithm Fractional-order PID controller

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Investigation of Energy-Saving Strategy for Parallel Variable Frequency Pump System Based on improved differential evolution algorithm

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ENERGIES 2022年第15期15卷 5360页

作者： Qin, Xuecong Luo, Yin Chen, Shengyuan Chen, Yunfei Han, Yuejiang Jiangsu Univ Res Ctr Fluid Machinery Engn & Technol Zhenjiang 212013 Jiangsu Peoples R China Wenling Fangyuan Test Co Ltd Wenling 317522 Peoples R China

This paper presents an energy-saving strategy that was applied to a parallel variable frequency pump system of a water circulation pumping station. Firstly, the mathematical model of shaft power consumption for the parallel pump system was established using quadratic polynomial fitting, with some constraints configured according to the system's water supply demands. Then, the algorithm program was designed with the goal of minimizing the energy consumption through the application of an improved differential evolution algorithm. Additionally, the energy consumption model and constraints were integrated and simplified in order to adapt to the algorithm calculation. In the end, the algorithm was implemented according to the pump design parameters and supply targets of the pumping station. Meanwhile, a comparison was done between the differential evolution (DE) algorithm and the genetic algorithm (GA). Furthermore, an experimental test was conducted in an aluminum company in order to verify the applicability of the energy-saving algorithm in practice. The results demonstrated the feasibility of using the improved differential evolution algorithm in order to achieve a minimum energy consumption operation strategy;the results consequently manifested the superiority of the differential evolution algorithm in both computing time and optimal solution aspects.

关键词： parallel variable frequency pump system energy-saving operation power consumption model improved differential evolution algorithm

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An improved differential evolution algorithm for solving a distributed assembly flexible job shop scheduling problem

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MEMETIC COMPUTING 2019年第4期11卷 335-355页

作者： Wu, Xiuli Liu, Xiajing Zhao, Ning Univ Sci & Technol Beijing Dept Logist Engn Sch Mech Engn Room 514B Beijing 100083 Peoples R China

The single-factory manufacturing is gradually transiting to the multi-factory collaborative production with the globalization. The decentralization of resources and the heterogeneity of the production modes make it difficult to solve this kind of problem. Therefore, the distributed assembly flexible job shop scheduling problem (DAFJSP) is studied. DAFJSP can be decomposed into several flexible job shop scheduling problems and several single machine factory scheduling problems. To begin with, a mixed integer linear programming model for the DAFJSP is formulated to minimize the earliness/tardiness and the total cost simultaneously. Then, an improved differential evolution simulated annealing algorithm (IDESAA) is proposed. The balanced scheduling algorithm is designed to trade off the two objectives. Two crossover and mutation operators are designed. Due to its strong robustness, simulated annealing is integrated to local search the best Pareto solutions. The greedy idea combined with the Non-Dominated Sorted selection is employed to select the offspring. Finally, comprehensive experiments are conducted and the results show that the proposed algorithm can solve DAFJSP effectively and efficiently.

关键词： Distributed assembly flexible job shop scheduling problem improved differential evolution algorithm Balanced algorithm Earliness/tardiness Cost

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Non-intrusive Load Monitoring Method Based on improved differential evolution algorithm 11

Non-intrusive Load Monitoring Method Based on Improved Diffe...

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11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

作者： Lu, Chunguang Ma, Lvbin Xu, Tao Ding, Guofeng Wu, Chenghuan Jiang, Xuedong State Grid Zhejiang Elect Power Res Inst Hangzhou 310014 Peoples R China Zhejiang Huayun Informat Technol Co Ltd Hangzhou 310012 Peoples R China State Grid Ningbo Elect Power Co Ningbo 315000 Peoples R China Zhejiang Univ Hangzhou 310027 Peoples R China

ISBN: (纸本)9781728121659

Non-intrusive load monitoring is an efficient way to identify the load and get the details of the user's power consumption information. This paper proposes a new non-intrusive load monitoring method based on improved differential evolution algorithm. Firstly, the advantages of non-intrusive load monitoring are briefly introduced. Secondly, the detailed procedure of load identification of household appliances by improved differential evolution algorithm is described. At last, an experimental platform is established to test the effectiveness of the proposed non-intrusive load monitoring method. By introducing the signal-to-noise ratio and load identification rate, the performance of improved differential evolution algorithm is studied.

关键词： Household appliances Non-intrusive load monitoring improved differential evolution algorithm Signal-to-noise ratio Load identification rate

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An improved differential evolution algorithm for Solving a Distributed Flexible Job Shop Scheduling Problem 14

An Improved Differential Evolution Algorithm for Solving a D...

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14th IEEE International Conference on Automation Science and Engineering (IEEE CASE)

作者： Wu Xiuli Liu Xiajing Univ Sci & Technol Beijing Dept Logist Engn Beijing Peoples R China

ISBN: (纸本)9781538635933

The single-factory manufacturing is gradually transiting to the multi-factory collaborative production under the globalization. How to schedule the collaborative production among multiple factories effectively is extremely urgent. The distributed flexible job shop scheduling problem (DFJSP) is studied. To begin with, a DFJSP mixed integer linear programming model is formulated to minimize the makespan. Then, an improved differential evolution simulated annealing algorithm (IDESAA) is proposed. Two crossover and mutation operators are designed. Simulated annealing is integrated to local search the best solution(s). The tournament selection is employed to select the offspring. Finally, the numerical experiments are conducted and the results show that the proposed algorithm can solve the DFJSP effectively and efficiently.

关键词： Distributed Flexible Job Shop Scheduling Problem Multi-factory improved differential evolution algorithm simulated annealing

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