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Optimizing wind farm layout for enhanced electricity extraction using a new hybrid PSO-ANN method

Global Energy Interconnection 2024年第3期7卷 254-269页

作者： Mariam El Jaadi Touria Haidi Abdelaziz Belfqih Mounia Farah Atar Dialmy LAGES Laboratory Hassania School of Public Works(EHTP)Casablanca 20230Morocco LESE Laboratory National School of Electricity and Mechanics(ENSEM)Casablanca 20100Morocco LAGCET Laboratory Hassania School of Public Works(EHTP)Casablanca 20230Morocco

With the growing need for renewable energy,wind farms are playing an important role in generating clean power from wind *** best wind turbine architecture in a wind farm has a major influence on the energy extraction *** paper describes a unique strategy for optimizing wind turbine locations on a wind farm that combines the capabilities of particle swarm optimization(PSO)and artificial neural networks(ANNs).The PSO method was used to explore the solution space and develop preliminary turbine layouts,and the ANN model was used to fine-tune the placements based on the predicted energy *** proposed hybrid technique seeks to increase energy output while considering site-specific wind patterns and topographical *** efficacy and superiority of the hybrid PSO-ANN methodology are proved through comprehensive simulations and comparisons with existing approaches,giving exciting prospects for developing more efficient and sustainable wind *** integration of ANNs and PSO in our methodology is of paramount importance because it leverages the complementary strengths of both ***,this novel methodology harnesses historical data through ANNs to identify optimal turbine positions that align with the wind speed and direction and enhance energy extraction efficiency.A notable increase in power generation is observed across various *** percentage increase in the power generation ranged from approximately 7.7%to 11.1%.Owing to its versatility and adaptability to site-specific conditions,the hybrid model offers promising prospects for advancing the field of wind farm layout optimization and contributing to a greener and more sustainable energy future.

关键词： Layout optimization Turbine placement Wind energy Hybrid optimization Particle swarm optimization Artificial neural networks Renewable energy Energy efficiency

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Optimal scheduling of a township integrated-energy system using the adjustable heat-electricity ratio model

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Global Energy Interconnection 2024年第1期7卷 48-60页

作者： Quan Chen Jingyi Wang Min Cang Xiaomeng Zhai Xi Cheng Shuang Wu Dongwei Li Economic and Technology Research Institute of State Grid Jiangsu Electric Power Co. LtdNanjing210008P.R.China Power Construction Technical and Economic Consulting Center of China electricity Council Beijing100053P.R.China

With the expansion and implementation of rural revitalization strategies,there is a constant need for new energy sources for the construction of new ***,integrated energy systems with the interconnection and interaction of multiple energy sources are developing *** energy,a renewable green energy source with low pollution and wide distribution,has significant application potential in integrated energy *** the application of biomass energy in townships,this study established an integrated biomass energy system and proposed a model to optimize its *** economic cost and highest clean energy utilization rate were considered as the objective *** addition,a plan was suggested to adjust the heat-electricity ratio based on the characteristics of the combined heat and power of the ***,a simulation analysis conducted for a town in China was discussed,demonstrating that the construction of a township integrated-energy system and the use of biomass can significantly reduce operating costs and improve the energy utilization ***,by adjusting the heat-electricity ratio,the economic cost was further reduced by 6.70%,whereas the clean energy utilization rate was increased by 5.14%.

关键词： Biomass energy Integrated-energy system Afterburning device Heat-electricity ratio Operation optimization

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Proactive Resilience Enhancement of Power Systems with Link Transmission Model-based Dynamic Traffic Assignment Among Electric Vehicles

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1320-1330页

作者： Haoyuan Yan Tianyang Zhao Zhanglei Guan Energy electricity Research Center Jinan UniversityGuangzhou 510632China Energy Research Institute Nanyang Technological UniversitySingapore IEEE

The rapid development of electric vehicles(EVs)is strengthening the bi-directional interactions between electric power networks(EPNs)and transportation networks(TNs)while providing opportunities to enhance the resilience of power systems towards extreme *** quantify the temporal and spatial flexibility of EVs for charging and discharging,a novel dynamic traffic assignment(DTA)problem is *** DTA problem is based on a link transmission model(LTM)with extended charging links,depicting the interaction between EVs and power *** models the charging rates as continuous variables by an energy boundary *** consider the evacuation requirements of TNs and the uncertainties of traffic conditions,the DTA problem is extended to a two-stage distributionally robust *** is further incorporated into a two-stage distributionally robust unit commitment problem to balance the enhancement of EPNs and the performance of *** problem is reformulated into a mixed-integer linear programming problem and solved by off-the-shelf commercial *** studies are performed on two test *** effectiveness is verified by the numerical results,e.g.,reducing the load shedding amount without increasing the unmet traffic demand.

关键词： Coupled transportation and power network link transmission model resilience enhancement

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Peer-to-Peer Trading in Distribution Systems with the Utility's Operation

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 629-638页

作者： Xuanyi Xiao Feng Wang Mohammad Shahidehpour Yujia Zhai Quan Zhou Department of Electrical and Information Engineering Hunan UniversityChangshaChina Robert W.Galvin Center for electricity Innovation Ilinois Institute of TechnologyChicagoIL60616USA

To realize a liberalized peer-to-peer (P2P) electricity market in distribution systems with network security, this paper develops a general framework for P2P trading in distribution systems with the utility's operation. The model is formulated as a bi-level programming. The utility's operation is an upper level problem, where a calculation method of network usage charges for P2P trading is also proposed. Peers' P2P trading is a lower level problem. An iterative algorithm based on analytical target cascading (ATC) is proposed to solve the model, where the interactions between utility and peers are presented. Numerical results on the IEEE 33-bus system demonstrate that the proposed method realizes a liberalized P2P market and ensures network security in distribution systems.

关键词： Distribution system peer-to-peer trading electricitymarket distributed energyresources(DERs) analytical target cascading(ATC)

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Microstructure evolution of Ti_(48)Zr_(27)Cu_(6)Nb_(5)Be_(14)amorphous alloy after semi-solid isothermal treatment

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China Foundry 2024年第3期21卷 287-294页

作者： Xin-hua Huang Jing-wen Pu Yong-xin Luo Yue-jun Ouyang School of Material Electricity and Intelligent ManufacturingHuaihua UniversityHuaihua 330031HunanChina Hunan Renewable Aluminum Innovation Research Center Huaihua UniversityHuaihua 330031HunanChina

The as-cast amorphous Ti_(48)Zr_(27)Cu_(6)Nb_(5)Be_(14)composites,comprising in situ formedβ-Ti ductile crystalline precipitates,were prepared by water cooled copper mold suction ***,the semi-solid composites were obtained after the as-cast composites were treated by semi-solid isothermal *** microstructure evolution and kinetics of the composites were *** show that the microstructures of both the as-cast and semi-solid composites comprise ofβ-Ti crystal phases and amorphous matrix *** and after treatment,the crystals evolve from fine granular or fine dendritic crystals to coarse *** the treatment temperature increasing or the time prolonging,the average crystal size gradually increases and the surface morphology of the crystals gradually becomes *** studying the microstructural evolution and dynamics during the isothermal treatment process,it is found that the final morphology ofβ-Ti crystals is influenced by the isothermal treatment temperature and time(t),and theβ-Ti evolution rate increases with an increase in treatment *** addition,a linear relationship was observed between the size of cubicβ-Ti crystals(D^(3))and t;the growth kinetics factor K is 3.8μm^(3)·s^(-1).As the K value closes to 4μm^(3)·s^(-1),it is inferred the morphology evolution ofβ-Ti crystals is a coarsening behavior controlled by the diffusion of solute elements.

关键词： Ti_(48)Zr_(27)Cu_(6)Nb_(5)Be_(14) amorphous matrix composites semi-solid as-cast microstructure

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An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 577-591页

作者： Qing Zhu Linlin Gu Huijie Lin electricity Technology Branch Nari Technology Co.Ltd.Nanjing211106China NARI-TECH Nanjing Control Systems Co. Ltd.Nanjing211106China

With the rapid development of electric power systems,load estimation plays an important role in system operation and ***,load estimation techniques contain traditional,time series,regression analysis-based,and machine learning-based *** the machine learning-based method can lead to better performance,in this paper,a deep learning-based load estimation algorithm using image fingerprint and attention mechanism is ***,an image fingerprint construction is proposed for training *** the data preprocessing,the training data matrix is constructed by the cyclic shift and cubic spline ***,the linear mapping and the gray-color transformation method are proposed to form the color image ***,a convolutional neural network(CNN)combined with an attentionmechanism is proposed for training performance *** last,an experiment is carried out to evaluate the estimation *** with the support vector machine method,CNN method and long short-term memory method,the proposed algorithm has the best load estimation performance.

关键词： Load estimation deep learning attention mechanism image fingerprint construction

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Investigations of the mechanical response of dummy HTPB propellant grain under ultrahigh acceleration overload conditions using onboard flight-test measurements

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Defence Technology（防务技术） 2024年第2期32卷 473-484页

作者： Yiming Zhang Ningfei Wang Weihua Ma Ran Wang Long Bai Yi Wu School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China Beijing System Design Institute of Electro-mechanic Engineering Beijing 100854China Xi'an Changfeng Research Institute of Mechanism and electricity Xi'an 710065China

In this paper,to study the mechanical responses of a solid propellant subjected to ultrahigh acceleration overload during the gun-launch process,specifically designed projectile flight tests with an onboard measurement system were *** projectiles containing dummy HTPB propellant grains were successfully recovered after the flight tests with an ultrahigh acceleration overload value of 8100 *** onboard-measured time-resolved axial displacement,contact stress and overload values were successfully obtained and *** compression tests of the dummy HTPB propellant used in the gunlaunched tests were carried out at low and intermediate strain rates to characterize the propellant's dynamic properties.A linear viscoelastic constitutive model was employed and applied in finite-element simulations of the projectile-launching *** the launch process,the dummy propellant grain exhibited large deformation due to the high acceleration overload,possibly leading to friction between the motor case and propellant *** calculated contact stress showed good agreement with the experimental results,though discrepancies in the overall displacement of the dummy propellant grain were *** dynamic mechanical response process of the dummy propellant grain was analysed in *** results can be used to estimate the structural integrity of the analysed dummy propellant grain during the gun-launch process.

关键词： Gun-launched flight test Dummy HTPB propellant Onboard measurements Utrahigh overload Mechanical response

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Equitable Total Coloring of Fibonacci Graphs

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Journal of Mathematical Research with Applications 2024年第2期44卷 143-151页

作者： Yong LI Chunling TONG Senyuan SU Yanan SU School of Information Science and electricity Engineering Shandong Jiaotong University Department of Mathematics Simon Fraser University

The equitable total coloring of a graph G is a total coloring such that the numbers of elements in any two colors differ by at most one. The smallest number of colors needed for an equitable total coloring is called the equitable total chromatic number. This paper contributes to the equitable total coloring of Fibonacci graphs F?,n. We determine the equitable total chromatic numbers of F?,nfor ? = 3, 4, 5 and propose a conjecture on that for ? >= 6.

关键词： Fibonacci graph equitable total coloring equitable total chromatic number

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An Exergy Analysis Model for the Optimal Operation of Integrated Heat-and-electricity-Based Energy Systems

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Protection and Control of Modern Power Systems 2024年第1期9卷 1-18页

作者： Jianrun Chen Haoyong Chen Zipeng Liang Xiaodong Zheng Dongliang Xiao Yirui Li Huaguang Yan South China University of Technology China School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China Department of Electrical Engineering Hong Kong Polytechnic UniversityHong Kong SARChina Department of Electric Power South China University of TechnologyGuangzhouChina electricity Using and Efficiency Department China Electric Power Research Institute

Exergy analysis is a unified approach to evaluating the quantity and quality of energy in integrated energy systems(IESs).However,exergy analysis models have been relatively underexplored for IES operation in energy transmission *** study addresses this gap by developing an input-benefit exergy model and an exergy loss calculation model for each link within heat-and-electricity-based IESs(HE-IESs),encompassing the transmission ***,an exergy-based unified optimal operation model for HE-IESs is introduced by minimizing the total exergy loss of the *** addition,the effect of load rate on the energy efficiency of energy conversion equipment is *** applying piecewise linearization to the non-convex terms in the objective function and the equality constraints,the proposed optimization model is accurately and efficiently analyzed as a mixed-integer second-order cone pro-gramming *** case study results demonstrate that the proposed model reduces equipment-related ex-ergy loss,with approximately 3.2 times the heat net-work-related exergy ***,the average deviation gaps of the overall system's exergy loss and equipment's output exergy power between the proposed and the existing models reach 12.94%and 27.83%,*** maximum relative error of the solution results with the proposed linearization method remains below 1.2%,satisfying the requirements of practical application.

关键词： unified linearization satisfying

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Gated Neural Network-Based Unsteady Aerodynamic Modeling for Large Angles of Attack

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Transactions of Nanjing University of Aeronautics and Astronautics 2024年第4期41卷 432-443页

作者： DENG Yongtao CHENG Shixin MI Baigang Beijing Institute of Space Mechanics&electricity Beijing 100094P.R.China Yangzhou Collaborative Innovation Research Institute CO. LTDAVICYangzhou 110066P.R.China School of Aeronautics Northwestern Polytechnical UniversityXi’an 710072P.R.China

Modeling of unsteady aerodynamic loads at high angles of attack using a small amount of experimental or simulation data to construct predictive models for unknown states can greatly improve the efficiency of aircraft unsteady aerodynamic design and flight dynamics *** this paper,aiming at the problems of poor generalization of traditional aerodynamic models and intelligent models,an intelligent aerodynamic modeling method based on gated neural units is *** time memory characteristics of the gated neural unit is fully utilized,thus the nonlinear flow field characterization ability of the learning and training process is enhanced,and the generalization ability of the whole prediction model is *** prediction and verification of the model are carried out under the maneuvering flight condition of NACA0015 *** results show that the model has good *** the interpolation prediction,the maximum prediction error of the lift and drag coefficients and the moment coefficient does not exceed 10%,which can basically represent the variation characteristics of the entire flow *** the construction of extrapolation models,the training model based on the strong nonlinear data has good accuracy for weak nonlinear ***,the error is larger,even exceeding 20%,which indicates that the extrapolation and generalization capabilities need to be further optimized by integrating physical *** with the conventional state space equation model,the proposed method can improve the extrapolation accuracy and efficiency by 78%and 60%,respectively,which demonstrates the applied potential of this method in aerodynamic modeling.

关键词： large angle of attack unsteady aerodynamic modeling gated neural networks generalization ability

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