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24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024

作者： Bracale, Antonio Caramia, Pierluigi De Falco, Pasquale Micco, Simona Di Minutillo, Mariagiovanna University of Napoli Parthenope Dept. of Engineering Naples Italy University of Salerno Dept. of Industrial Engineering Fisciano Italy

ISBN: (纸本)9798350355185

Hydrogen refueling stations that produce hydrogen on-site from renewable sources are an interesting solution to guarantee green hydrogen with zero CO2 emissions. The main limit in developing these stations is the hydrogen production cost, which depends on the plant size (hydrogen production capacity) and on the availability of renewable energy sources. In this study, a techno-economic evaluation of an on-site Hydrogen Refueling Station (HRS) based on a grid-connected photovoltaic (PV) plant integrated with an electrolysis unit is performed. In particular, an optimization problem based on an economic objective function that includes installation and operation costs is formulated in order to choose the size of the HRS components that minimize the unitary cost of hydrogen production through the plant's lifetime. © 2024 IEEE.

关键词： Hydrogen refueling stations optimization algorithm photovoltaic systems renewable sources

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Research on Comprehensive Evaluation Method of New Energy Consumption Capability and Design of Simulation Computing Architecture 3rd

Research on Comprehensive Evaluation Method of New Energy Co...

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3rd International Symposium on New Energy and Electrical Technology (ISNEET)

作者： Geng, Hongbin Zhang, Yingjie Wei, Yanfei Mao, Chenxu Xing, Zhitong State Grid Dezhou Power Supply Co Dezhou 253000 Shandong Peoples R China

ISBN: (纸本)9789819905553;9789819905539;9789819905522

With the construction of a new power system and the implementation of China's clean energy strategic goals, the installed capacity of domestic new energy has grown rapidly. This will lead to the increasingly prominent problem of new energy consumption in regional power grids. Therefore, it is urgent to carry out a comprehensive assessment of the new energy consumption capacity in combination with the actual characteristics of the regional power grid, and to establish a simulation computing architecture. To this end, this paper firstly affects the key factors of new energy power generation and consumption capacity, and establishes optimization objectives and constraints. On this basis, this paper proposes a simulation computing architecture design scheme, and finally carries out a comprehensive analysis of the factors affecting the cost of new energy consumption in combination with a certain regional power grid. The numerical example verifies the effectiveness of the scheme, and can provide a basis for the evaluation and optimization of the new energy consumption capacity under the new situation.

关键词： New energy consumption capacity Comprehensive evaluation optimization algorithm Simulation modeling Cost estimation

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Optimizing Distributed Generation Resources for Power Grid Quality Improvement Using Hybrid optimization Technique

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2023年

作者： Thanasingh, Sengolrajan Sasikumar, A. N. Mahendran, K. Saranya, R. Kongunadu Coll Engn & Technol Autonomous Dept Elect & Elect Engn Tiruchirappalli Tamil Nadu India Panimalar Engn Coll Dept Comp Sci & Engn Chennai Tamil Nadu India Saveetha Engn Coll Dept Elect & Commun Engn Chennai Tamil Nadu India Rajalakshmi Inst Technol Dept Artificial Intelligence & Data Sci Chennai Tamil Nadu India Kongunadu Coll Engn & Technol Autonomous Dept Elect & Elect Engn Trichy 621215 Tamil Nadu India

Distributed generation (DG) integration is a critical requirement in modern distribution networks to enhance power grid quality. An essential aspect of this endeavor involves strategically placing and sizing various DG resources optimally. The primary objective of this study is to determine an efficient approach for allocating Photovoltaic (PV) and Wind Turbine resources to minimize overall power losses within the grid. To achieve this goal, we introduce a novel hybrid optimization technique that combines Particle Swarm optimization (PSO) with Genetic algorithms (GAs). Furthermore, we explore the influence of factors such as variations in PV daily consumption, load profile fluctuations, penetration levels, and changing climatic conditions on the optimization process across two comprehensive case studies presented in this research. Our modeling results reveal that the hybrid PSO-GA approach outperforms traditional PSO in terms of integration speed, power loss reduction, and enhancements to grid quality, including voltage and frequency profiles. Additionally, this study highlights the dynamic impact of load curve fluctuations and climate changes on the optimal location and capacity of DG resources, leading to a substantial reduction in grid power losses.

关键词： wind turbines solar PV optimization algorithm genetic algorithm and optimum placement of RES

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DSGWO: An improved grey wolf optimizer with diversity enhanced strategy based on group-stage competition and balance mechanisms

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KNOWLEDGE-BASED SYSTEMS 2022年 250卷

作者： Jiang, Jianhua Zhao, Ziying Liu, Yutong Li, Weihua Wang, Huan Jilin Univ Finance & Econ Jilin Prov Key Lab Fintech Changchun 130117 Peoples R China Jilin Agr Univ Res Ctr Corpus Applicat Changchun 130118 Peoples R China Auckland Univ Technol Sch Engn Comp & Math Sci 55 Wellesley St E Auckland 1010 New Zealand

Grey wolf optimizer (GWO) is a popular algorithm in the field of meta-heuristics with fast convergence speed and strong exploitation ability for solving different types of optimization problems. However, there are two problems presented in the optimization process of GWO. Problem (1): GWO algorithm uses three leading wolves to direct the population for search, resulting in poor population diversity. Problem (2): Individuals selected in the optimization process of GWO have the current optimal fitness value, resulting in poor global search capabilities of the algorithm, and the population may tend to converge prematurely and fall into local optimum. In order to solve the above problems, this paper proposes the Diversity enhanced Strategy based Grey Wolf Optimizer (DSGWO), which combines two mechanisms to improve the performance of the GWO algorithm, including the group-stage competition mechanism and the exploration-exploitation balance mechanism. The experimental results are evaluated by using IEEE CEC 2014 benchmark functions and two engineering problems. The Wilcoxon rank-sum test is also conducted to measure the performance of DSGWO. The results demonstrate that the DSGWO algorithm can efficiently obtain the optimal solution of the dataset used in this paper, preserve more population diversity, and enhance the global search capability. In addition, through the application of two engineering problems, it is verified that DSGWO is suitable for solving engineering design problems. (C) 2022 Elsevier B.V. All rights reserved.

关键词： optimization algorithm Grey wolf optimizer GWO Continuous optimization problem

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Phased Array Scattering-Cross-Section Reduction Based on Hybrid Scattering Cancellation Technique 17

Phased Array Scattering-Cross-Section Reduction Based on Hyb...

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17th European Conference on Antennas and Propagation (EuCAP)

作者： Li, Peng-Fa Qu, Shi-Wei Univ Elect Sci & Technol China Sch Elect Sci & Engn Chengdu Peoples R China

ISBN: (纸本)9788831299077

A novel hybrid scattering cancellation approach to reduce scattering cross section (SCS) of phased arrays is proposed in this paper, which not only makes use of cancellations between antenna mode and structural mode scattering fields, but also achieves cancellation of scattering field from different array elements. An 8 x 8 planar microstrip phased array is constructed to validate the concept. By optimizing element loads utilizing particle swarm optimization algorithm, the proposed phased array realizes very impressive SCS reductions of 8.3 dB and 20 dB with respect to its conventional counterpart and the equal-sized metallic plate, respectively, with a balanced radiation performance.

关键词： phased array optimization algorithm scattering cancellation techniques scattering cross section reduction

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Optimal Operation of the NACA0012-IK30 Airfoil

Optimal Operation of the NACA0012-IK30 Airfoil

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AIAA Aviation Forum

作者： Carnacho, Emanuel A. R. Silva, Andrd R. R. Marques, Flavio D. UBI Aerosp Sci Dept Covilha Portugal EESC USP Dept Mech Engn Sao Paulo SP Brazil

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

The kinematics of oscillating airfoils are crucial to understanding subjects such as rotor dynamics and bio-inspired flows. Unsteady airfoils have been studied extensively, but there is an overall lack of knowledge regarding newer and more complex kinematics. The present paper builds upon previous studies of the NACA0012-IK30 airfoil by implementing a gradient-based method that searches for a leading-edge pitching amplitude that maximizes propulsive power. All of this is done numerically by solving the Reynolds-Averaged Navier-Stokes equations coupled with the Intermittency Transition model. Results indicate that for higher reduced frequencies, higher leading-edge pitching amplitudes are required to maximize the mean propulsive power. Additionally, propulsive power is achieved with near-optimal propulsive efficiency, which is a common limitation of traditional flapping airfoils.

关键词： 4 Digit Airfoils Flapping Frequency Propulsive Efficiency Reynolds Averaged Navier Stokes Rotor Dynamics Lift Coefficient optimization algorithm Power Coefficient Aerodynamic Characteristics ANSYS

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Free-Form Deformation of Parametric CAD Geometry via B-Spline Transformations

Free-Form Deformation of Parametric CAD Geometry via B-Splin...

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AIAA Aviation Forum

作者： Gomez, Marlena C. Galbraith, Marshall C. Haimes, Robert MIT Comp Sci & Engn Cambridge MA 02139 USA MIT Dept Aeronaut & Astronaut Cambridge MA 02139 USA

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

This paper presents a method for local shape modification using free-form deformation to morph parametric geometry. The goal is analysis driven shape design which combines CAD-like parametric solid model geometry construction with free-form-like local deformation. A free-form deformation box is created and the geometry inside the box is deformed, where any analytic geometry inside the box which is not by default defined by a B-spline is converted to a B-spline. The free-form deformation is then used to move the surface B-spline control point net. This allows for the generation of smooth geometry, while keeping the number of degrees of freedom manageable for the optimizer. This method is demonstrated using optimization with the objective function minimizing the L-2-norm difference between a morphed and target shape. The set-up for a generalized geometric input is also presented, along with the computed sensitivity calculations which are necessary for shape design driven by analysis.

关键词： Gaussian Quadrature NACA 0012 Computational Fluid Dynamics Shape optimization OpenMDAO Design optimization Aspect Ratio Computing Finite Difference Scheme optimization algorithm

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Two-stage fuzzy object grasping controller for a humanoid robot with proximal policy optimization

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年 125卷

作者： Kuo, Ping-Huan Chen, Kuan-Lin Natl Chung Cheng Univ Dept Mech Engn Chiayi 62102 Taiwan Natl Chung Cheng Univ Adv Inst Mfg High Tech Innovat AIM HI Chiayi 62102 Taiwan Natl Pingtung Univ Dept Intelligent Robot Pingtung 900392 Taiwan

As science and technology have developed, an increasing amount of research on humanoid robots has been conducted. In this paper, a method based on deep reinforcement learning, optimization algorithms, and fuzzy logic for self-guided learning in humanoid robots is proposed. The method primarily relies on proximal policy optimization. The proposed model enables the humanoid robot to determine the optimal action on the basis of environmental feedback. A task was divided into two steps to train the optimal model for each step of the task;these models were then integrated. This division of the task was completed to prevent bias towards a single step. The performance of numerous optimization algorithms was evaluated, and the artificial bee colony algorithm was found to be the most successful algorithm for determining the optimal combination of parameters for the task. Deep reinforcement learning was demonstrated to be an effective method for enabling the humanoid robot to learn how to grasp objects and place them in target areas. The proposed learning method also combines optimization algorithms with fuzzy logic theory to further improve performance. The feasibility of the proposed method was validated through experiments.

关键词： Humanoid robot Intelligent control PPO Fuzzy logic optimization algorithm ABC

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Figure Correction of a Quartz Sub-Mirror for a Transmissive Diffractive Segmented Telescope by Reactive Ion Figuring

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IEEE PHOTONICS TECHNOLOGY LETTERS 2022年第21期34卷 1143-1146页

作者： Luo, Qian Li, Zhiwei Wu, Xiang Shao, Junming Fan, Bin Wu, Shibin Du, Junfeng Chinese Acad Sci Inst Opt & Elect Chengdu 610209 Peoples R China

A quartz sub-mirror was figure-corrected in a parallel removal process for the first time. An Reactive Ion Figuring (RIF) process with a simple and universal masking method was demonstrated, and the 350-mm quartz sub-mirror was figure-corrected from the initial figure error of similar to 23 nm RMS to the final figure error of similar to 8 nm RMS in total effective figuring time of similar to 52 minutes after 4 iterations, which exhibited the actual potential of RIF on the figure-correction of quartz optical elements and the possibility on applying RIF to meet the requirement of mass production for sub-mirrors of transmissive diffractive segmented telescopes.

关键词： Reactive ion figuring transmissive diffractive lens figure correction semiconductor industry removal function optimization algorithm

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An Indirect Impedance Eduction Process for Liners with Arbitrarily Complex Geometry

An Indirect Impedance Eduction Process for Liners with Arbit...

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AIAA Aviation Forum

作者： Cerizza, Davide Casalinot, Damiano Dassault Syst SIMULIA SIMULIA R&D Fluids Sci & Technol Waltham MA 02451 USA Dassault Syst Deutschland GmbH SIMULIA R&D Fluids Sci & Technol D-70563 Stuttgart Germany

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

Complex aero-engine liner geometries that extend the capabilities of standard 1- or 2degree-of-freedom liners became very popular in recent years. The challenge when trying to characterize these devices in terms of an equivalent impedance is that the classical in-situ method to educe impedance from measured pressure fluctuations cannot be employed straightforwardly. The current study proposes an impedance eduction method based on a combined usage of a 3D scale-resolving flow simulation of a limited portion of the liner with a 2D frequency-domain FEM acoustic calculation in which the liner is replaced by an equivalent impedance boundary condition. Both simulations setups are generated by a fully automatic workflow based on specific user settings. The FEM calculations are driven by an optimization algorithm that changes the value of wall impedance until acoustic properties of the reference 3D solution are matched.

关键词： Finite Element Method Acoustic Propagation Frequency Domain Aircraft Engines optimization algorithm Flow Conditions Boundary Layer Thickness Velocity Profiles Large Eddy Simulation Grazing Flow Impedance Tube

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