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intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner Mongolia, China

APPLIED ENERGY 2013年 109卷 239-253页

作者： Dong, Yao Wang, Jianzhou Jiang, He Shi, Xiaomeng Lanzhou Univ Sch Math & Stat Lanzhou 730000 Peoples R China Florida State Univ Dept Stat Tallahassee FL 32310 USA

The exploration of wind energy has become one of the most significant aims for countries all around the world. This is due to its low impact on the environment and its sustainable development. Therefore, it is very important to develop an effective and scientific way to evaluate wind resource potential and so that suitable wind turbines can be chosen. In this study, the 4-times daily wind speed data for the past 63 years in Huitengxile of Inner Mongolia in China was collected first to do mutation tests using Sliding T-test and Sliding F-test. The test results indicated that the wind speeds exhibited a significant change in the mean value and a big variation in variance. Secondly, in order to improve the assessment accuracy, three intelligent optimization algorithms were applied to estimate Weibull's parameters, including Particle Swarm optimization (PSO), Differential Evolution (DE) and Genetic Algorithm (GA). Finally, some new criteria, such as matching index, turbine cost index and the integrated matching index, were proposed in order to choose the most fitting wind turbine in accordance with the local environment and economic cost. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Mutation test intelligent optimization algorithms Wind resource assessment Selection suitable wind turbine

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Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search

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SOFT COMPUTING 2015年第9期19卷 2605-2617页

作者： Jiang, Yunzhi Tsai, Pohsiang Hao, Zhifeng Cao, Longbing Jiangxi Agr Univ Sch Software Nanchang Peoples R China S China Univ Technol Sch Comp Sci & Engn Guangzhou Guangdong Peoples R China Natl Formosa Univ Dept Comp Sci & Informat Engn Huwei Taiwan Univ Technol Sydney Adv Analyt Inst Ctr Quantum Computat & Intelligent Syst Sydney Ultimo Australia

Image segmentation techniques have been widely applied in many fields such as pattern recognition and feature extraction. For the primate visual attention model, the perceptual organization is an important process to automatically extract the desirable features. In this article, we propose a new method called an automatic multilevel thresholding algorithm using the stratified sampling and Tabu Search (AMTSSTS) by imitating the primate visual perceptual behaviors. In the AMTSSTS algorithm, a gray image is treated as a population with the gray values of pixels as the individuals. First, the image is evenly divided into several strata (blocks), and a sample is drawn from each stratum. Second, a Tabu Search-based optimization is applied to each sample to maximize the ratio between mean and variance for each sample. The threshold number and threshold values are preliminarily determined based on the optimized samples, and are further optimized by a deterministic method which includes a new local criterion function with property of local continuity of an image. Results of extensive simulations on Berkeley datasets indicate that AMTSST Scan obtain more effective, efficient and smooth segmentation, and can be applied to complex and real-time environments.

关键词： Image segmentation Multilevel thresholding intelligent optimization algorithms Stratified sampling Tabu Search

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A review of control strategies for automatic generation control in power systems with renewable energy

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PROGRESS IN ENERGY 2024年第2期6卷 022001-022001页

作者： Kuang, Ming Tian, Youwen Liu, Qingyu Zhao, Meng Wu, Xin Shenyang Agr Univ Coll Informat & Elect Engn Shenyang Peoples R China Chinese Acad Sci Shenyang Inst Comp Technol Co Ltd CAS Shenyang Peoples R China

This review presents a state-of-the-art literature review of automatic generation control (AGC) control strategies for power systems containing renewable energy sources. The incorporation of renewable energy into the power system has a large impact on the stability, reliability, economy and security of the power system. To mitigate these effects, it is important to choose a suitable control strategy for AGC. However, there is a limited amount of literature available on the review of AGC in renewable energy power systems, so a review of AGC control strategies for renewable energy-containing power systems is necessary. The investigation of this paper focuses on all kinds of different AGC control strategies for renewable energy-containing power systems, such as proportional integral derivative control, fuzzy control, artificial neural network control, etc, and compares and considers these different control methods, while this paper summarises the power system models with/without renewable energy. In addition, this paper summarises and discusses the application of intelligent optimization algorithms and energy storage systems to control strategies. The problems and future research directions of the current research on power systems with renewable energy sources are also discussed.

关键词： automatic generation control renewable energy power systems control strategies intelligent optimization algorithms

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A flexible multi-objective task allocation method for major marine emergencies

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OCEAN ENGINEERING 2024年 297卷

作者： Guo, Yu Mao, Jiahui Zhang, Haidong Li, Jichao Yang, Qingqing Yang, Kewei Natl Univ Def Technol Coll Syst Engn Changsha Peoples R China

The boom in the maritime economy has led to an increase in the frequency of major marine emergencies, and it is critical for decision-makers to develop a well-planned task-allocation scheme. Compared to ordinary marine emergencies, major marine emergencies (MME) are characterized by multiple tasks, evolving scenarios, and difficulties in terms of adjustment. This paper introduces flexibility theory into marine emergency decisionmaking by proposing a novel framework called the two-phase flexible task-allocation scheme generation (TFTASG). We first developed a multi-objective programming model of the TFTASG in two phases: three objectives of responding to MME within a critical time and the maximization of the subject's enthusiasm and task completion efficiency were designed in the first phase, and different objectives are formulated according to different task types;the objective of flexibility maximization was constructed in the second phase. Then, to solve the combinatorial explosion problem and generate timely solutions, the improved differential evolution algorithm was proposed according to the characteristics of the TFTASG. Finally, a real-world case was carried out to demonstrate the effectiveness of our model. The results show that our proposed flexible task-allocation scheme can achieve fast adjustment at low cost and that the TFTASG can provide decision-makers with scientific decision support.

关键词： Maritime emergencies Task allocation Multi -objective programming Flexibility intelligent optimization algorithms

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Construction Method of Overlay Network for Cyber-Physical System 23

Construction Method of Overlay Network for Cyber-Physical Sy...

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23rd Asia-Pacific Network Operations and Management Symposium (APNOMS)

作者： Deng, Liangliang Chen, Yubing Zhang, Lichen Guangdong Univ Technol Fac Comp Sci & Technol Guangzhou Peoples R China Guangdong Univ Technol Sch Electromech Engn Guangzhou Peoples R China

ISBN: (数字)9784885523397

ISBN: (纸本)9784885523397

The real-time requirements of network communication in cyber-physical systems are high, and the network topology is complex, which makes the communication efficiency in the system low in real-time. However, the traditional routing algorithm has been unable to adapt to the increasingly complex intelligent communication network in today's society. In order to improve the network communication efficiency of the cyber-physical system, a cyber-physical fusion system overlay network construction method based on an improved variable neighborhood search algorithm is proposed. Reduce the communication time overhead of cyber-physical systems. In the network node selection method of the cyber physical system, the neighborhood structure and the dithering method of the variable neighborhood search algorithm are optimized. The objective function is used to further optimize the selection strategy of the covering node set. Finally, the network time cost, communication delay and algorithm stability of the proposed method are analyzed on a large number of random discrete node sets. The experimental results show that the optimized variable domain search algorithm can effectively reduce the network delay and time overhead, and improve the communication efficiency of the cyber-physical system.

关键词： Cyber-physical systems overlay networks realtime communication intelligent optimization algorithms

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Optimal Energy Storage Configuration Method For Wave Energy Power Generation System 3

Optimal Energy Storage Configuration Method For Wave Energy ...

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3rd International Conference on Energy and Electrical Power Systems (ICEEPS)

作者： Wang, Lixin Li, Ye Yang, Shuai Chen, Yating He, Wenbin Ma, Xiaoting Inner Mongolia Power Grp Hohhot Peoples R China Inner Mongolia Elect Power Econ & Technol Res Ins Hohhot Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The rapid and random changes in wave characteristics make it difficult to meet the requirements for secure and stable operation of the power grid, resulting in low wave energy utilization. The inherent advantage of energy storage can address the grid connection and improve wave energy consumption, hence proposing an energy storage optimization configuration method for wave energy generation system. The goal is to minimize the construction and operational costs of the wave energy storage system by taking into account constraints such as the state of charge of the energy storage, energy storage power, and the grid operating conditions. An energy storage configuration optimization model is established. The Whale optimization Algorithm and Genetic Algorithm are applied to solve the inner and outer layer models, optimizing the system's daily operation strategy, energy storage access points, and capacity to increase wave energy utilization while minimizing system costs. Simulation results show that in the IEEE 33-node system, the proposed method can address the energy storage layout, and capacity configuration issues in wave energy power generation system(WEPGS), verifying the effectiveness and feasibility of the proposed method.

关键词： Energy storage system Wave energy Optimal configuration intelligent optimization algorithms

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Review of Power Network Planning Research Status

Review of Power Network Planning Research Status

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IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)

作者： Xue Lei Wang Li-bin Li Chunhui Li Qiang Shanxi Elect power Corp Econ & Tech Inst State Gr Taiyuan Peoples R China Taiyuan Univ Technol Taiyuan Peoples R China

ISBN: (纸本)9781479969890

Primary mission and basic principle of power network planning is introduced in detail. Mathematical model of power network planning and related constraints are summarized. Several methods based on mathematical optimization, heuristic algorithm, as well as the intelligent optimization algorithms, such as genetic algorithm are illustrated separately, the characteristics and problems of algorithms are analyzed. The defects, which appear while the above heuristic algorithms are applied to nonlinear combination optimization problem, e.g., power network planning, are analyzed. Finally, the problems to be deeply studied are pointed out.

关键词： Power Network Planning Smart grid Heuristic algorithm intelligent optimization algorithms

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Soft Computing Techniques Applied to Distribution Network Reconfiguration: A Survey of the State-of-the-Art 8

Soft Computing Techniques Applied to Distribution Network Re...

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8th International Conference on Computational Intelligence and Communication Networks (CICN)

作者： Srivastava, Ishan Bhat, S. S. VNIT Elect Engn Dept Nagpur Maharashtra India

ISBN: (纸本)9781509011445

Network reconfiguration is the process of altering the topological structure of distribution feeders to achieve more reliable and economic operation of distribution network. Distribution Network Reconfiguration (DNR) is a multi-objective, combinatorial, non-differentiable constrained optimization problem. This strategy nowadays is very frequently used by distribution engineers to meet various objectives like loss minimization and power quality enhancement. This paper describes the various possible objectives and constraints of radial network reconfiguration. This paper also presents a comprehensive review of various strategies of network reconfiguration which are mainly based on heuristic methods and intelligent optimization algorithm.

关键词： Feeder Reconfiguration Combinatorial Heuristic Methods intelligent optimization algorithms Soft computing techniques

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Improved Wolf Pack Algorithm with Differential Evolution for Global Numerical optimization 10

Improved Wolf Pack Algorithm with Differential Evolution for...

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10th International Conference on Advanced Computational Intelligence (ICACI)

作者： Chen, Xiayang Tang, Chaojing Zhang, Lei Liu, Yi Natl Univ Def Technol Coll Elect Sci Changsha Hunan Peoples R China

ISBN: (纸本)9781538643624

Wolf Pack Algorithm (WPA) is a new optimal algorithm with outstanding performance, but there is still room for improvement of its convergence Aiming at speeding up the convergence of the WPA, a novel hybrid optimal algorithm based on Wolf Pack Algorithm and Differential Evolution (DE) is proposed, which named WPADE for short. Differential Evolution is introduced into the process of the wolves updating to replace the random updating. Four standard benchmark functions are applied to verify the effects of these improvements. Our experiments shows that the performance of WPADE is better than the basic WPA and other evolution algorithm or swarm intelligence optimal algorithm, such as GA, DE, PSO, and ABS.

关键词： Wolf Pack Algorithm Differential Evolution swarm intelligence intelligent optimization algorithms metaheuristic algorithms

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Enhanced Seagull optimization Algorithm for Photovoltaic Cell Parameter Estimating 41

Enhanced Seagull Optimization Algorithm for Photovoltaic Cel...

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第41届中国控制会议

作者： Hongyin Wei Kailin Xu Jianming Zhang Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control TechnologyZhejiang University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,an enhanced seagull optimization algorithm based on a double group evolutionary mechanism(DSOA) is proposed for photovoltaic(PV) cell parameter *** the DSOA,a double group search strategy and time-based mutation strategy are added to the population renewal mechanism of the conventional *** performance of DSOA on standard benchmark functions is surprising;it was good at accuracy and exploitation,also convergence *** with SOA and the other two classical intelligent optimization algorithms,the performance of DSOA is comprehensively *** is adopted to estimate PV cell *** simulation results demonstrate that estimated currents of circuit model based on DSOA have high similarity to the measured value of the photovoltaic cell.

关键词： Photovoltaic(PV) parameter estimating seagull optimization algorithm intelligent optimization algorithms

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