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Full-Text Articles in Entire DC Network
Time-Frequency Analysis Of Partial Discharge Signal Based On Vmd And Wigner-Ville Distribution, Yafei Jia, Yongli Zhu, Liuwang Wang
Time-Frequency Analysis Of Partial Discharge Signal Based On Vmd And Wigner-Ville Distribution, Yafei Jia, Yongli Zhu, Liuwang Wang
Journal of System Simulation
Abstract: To effectively analyze the time-frequency characteristics of partial discharge signals of high voltage electrical equipment, a novel time-frequency analysis method based on variational mode decomposition (VMD) and Wigner-Ville distribution (VMD-WVD) was proposed, which effectively solves the problem of cross term interference in the Wigner-Ville distribution method. The known partial discharge signals were decomposed by VMD and the mode components were extracted. These Wigner-Ville distributions of mode components were computed and the Wigner-Ville of each component signal was added linearly to reconstruct the Wigner-Ville of the original signal. The proposed method was applied to analyze simulation signals and measured partial …
Improved Cpls Algorithm And Its Application In Process Monitoring, Qinghua Li, Pan Feng, Zhonggai Zhao
Improved Cpls Algorithm And Its Application In Process Monitoring, Qinghua Li, Pan Feng, Zhonggai Zhao
Journal of System Simulation
Abstract: Concurrent PLS (CPLS) further extracts information from the residuals of input variables and quality variables drawn by PLS, thus the raw data are projected into five subspaces. The process monitoring based CPLS provides a whole framework for the monitoring of input variables and quality variables. The model for residuals is developed by a deterministic manner while the residuals are inherently stochastic; therefore a probabilistic model is more proper for describing their features. This paper introduces factor analysis (FA) into CPLS, in which FA instead of PCA is used to analyze the residuals to develop the improved CPLS model, and …
Pmlsm Without Position Sensing Control Of Double Forgettingkalman Filter, Zhu Jun, Xiangjun Li, Rongbing Fu, Yuhang Wu, Tian Miao
Pmlsm Without Position Sensing Control Of Double Forgettingkalman Filter, Zhu Jun, Xiangjun Li, Rongbing Fu, Yuhang Wu, Tian Miao
Journal of System Simulation
Abstract: UsingextendedKalmanfilter (EKF) to estimate the position of permanent magnet linear synchronous motor(PMLSM), the model is not accurate, the noise properties areuncertain,and may lead to the problem of filtering divergence.Adouble forgetting Kalman filter (DFKF) method was proposed. Adaptive fading factor on the basisof EKF was introduced to achieve the first forgetting,andthe Sage-Husa adaptive filter algorithm was introduced to realize the second forgetting. The experiments show that DFKF diminishesaccording to the law of sineregardless synchronous speed change or load mutation;the stable error is 0.469% or 0.943% before or after the load mutation; the final error stabilizes near 0.167%;the …
Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu
Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu
Journal of System Simulation
Abstract: Aiming at the difficulty of feature extraction and related generation mechanism analysis for complex Air Defense System of Systems (ADSOS) using traditional data mining method, a novel situation assessment approach based on Force-Sparsed Stacked-Auto Encoding Neural Networks (FS-SAE) is proposed. Combined with big data and complex networks technology, FS-SAE situation assessment model is built. The emergence relations between the capacity indexes of ADSOS are formalized. And then, the formation mechanism and the contribution rate of capacity indexes are studied and the validity of this approach is validated by the simulation data. The experimental results show that formalized presentation …
A Deep Spatio-Temporal Rnns Based Coordinated Operational Action Recognition, Yi Zhuo, Liao Ying, Xiaofeng Hu, Xuehui Du, Zhu Feng
A Deep Spatio-Temporal Rnns Based Coordinated Operational Action Recognition, Yi Zhuo, Liao Ying, Xiaofeng Hu, Xuehui Du, Zhu Feng
Journal of System Simulation
Abstract: To address the issues of large feature space, numerous model parameters and slow training speed in coordinated operation action recognition, a coordinated operational action recognition method based on a deep spatio-temporal recurrent neural network is proposed. In this method, a warped region generation mechanism is introduced to divide the whole battlefield into sub-battlefield. Meanwhile, a hierarchical recurrent neural network is constructed using spatio-temporal graph model, which is applied to the generated sub-battlefield to recognize coordinated operational action. Additionally, the recognized coordinated operational actions of sub-battlefields are merged to find out all coordinated operational actions based on the principle of …
Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen
Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen
Journal of System Simulation
Abstract: In view that forestry fire has the nature of multi-phase and multi-component, a forestry fire spatial diffusion model based on multi-agent algorithm with cellular automata is proposed. A method based on Wang Zhengfei-CA model is employed to approximately simulate the spread of forestry fire. On the basis of the status transition rule determined by CA and using the self-learning and variation methods of multi-agent algorithm, the measured forestry fire pattern is most similar to CA rule-driven evolution model and the CA rule can be automatically optimized. By comparatively analyzing the simulation results of the traditional Rothermel model and the …
Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong
Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong
Journal of System Simulation
Abstract: As the Learning-Oriented network platform aims to share knowledge, its users’ behavior is different from that of other network communities. Based on the Mental Accounting Theory, affecting factors of the users’ behavior is analyzed with Structural Equation Model. The simulation model using social computing method is established. This paper makes the comparative analysis on the NETLOGO simulation platform to explore and summarize the rules of users’ behavior. The final mental accounts including "Gaining Knowledge", "Learning Interest", "Sense of Belonging", and "Time". According to the conclusions and experiments, This paper provides the basis of decision making for the …
A New Image Encryption Algorithm Based On Chaos, Li Lin, Liuyong Kong
A New Image Encryption Algorithm Based On Chaos, Li Lin, Liuyong Kong
Journal of System Simulation
Abstract: In order to increase the security of single chaotic systems, this paper proposesa new image encryption algorithm based on Chen chaotic system, cellular automaton and DNA. The 3-dimension Chen chaotic system is used to generate a pseudo random sequence. The DNA dynamic encoding on plain-text image and cellular automation is completed based on the transformed sequence. The DNA sequence of the plain-text image is divided into blocks, which arethen reorganized. These new groups of the DNA sequence of plain-text are combined with the DNA sequence of cellular automation to carry out the mixed operation with the cipher-text cross diffusion …
Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun
Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun
Journal of System Simulation
Abstract: Aiming at fast computation of the composite scattering of low-fly target and ocean surface, the improvement of conventional multi-path algorithm is implemented, and a new multi-path algorithm is proposed based on the statistics of mirror facets’ slope. New algorithm takes the modulation from gravity into account in comparison with conventional algorithm. The distribution of mirror facets’ slope is counted from a determined ocean surface, and the multi-path coupling is summed with a weight coefficient, which scatters from mirror facets with different slope. Furthermore, the coupling scattering characteristic is obtained from target and ocean surface. Simulation result indicates that the …
Optimizing Control Of Total Heat Supply Based On Machine Learning, Li Qi, Xingqi Hu, Jianmin Zhao
Optimizing Control Of Total Heat Supply Based On Machine Learning, Li Qi, Xingqi Hu, Jianmin Zhao
Journal of System Simulation
Abstract: The central heating system has complex structure, along with the characteristics of hysteresis, strong coupling and nonlinear. Contraposing the problem that the process is difficult to be identified and controlled by the mechanism modeling, an optimal control method of heat source total heat production based on machine learning is proposed. The heat source model of central heating system is established by BP neural network and long short-term memory neural network. Under the premise of meeting the demand of heating quality, with the total energy consumption as the optimization objective, the optimal control sequence of water supply temperature and water …
Integrated Simulation Of Mixed Traffic Flow On Elementary And Middle School Gate’S Road When Students Going To School, Mingbao Pang, Yanan Pei, Zhang Ning
Integrated Simulation Of Mixed Traffic Flow On Elementary And Middle School Gate’S Road When Students Going To School, Mingbao Pang, Yanan Pei, Zhang Ning
Journal of System Simulation
Abstract: Synthesizing the advantages and disadvantages of social force model (SFM) and cellular automaton model (CAM), a simulation model of mixed traffic flow including pedestrian, motor vehicle and non-motorized vehicle on the interference road section of elementary and middle school’s gate when students going to school was established. The traffic flow characteristics after changing the proportion of students going to school by private car and implementing different traffic organization schemes were analyzed. The results of the examples indicate that its organization phenomena can be realized by decreasing the proportion of pupils taking private cars and implementing different measures of traffic …
Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun
Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun
Journal of System Simulation
Abstract: The multi-ports slot plan problem considering dispatching sequence of containers in yard is solved by an integer linear programming model, which minimizes heeling moment. The influences of different dispatching rules on solving the problem are simulated and analyzed through the programming model. Accordingly, a simulation optimization model based on genetic algorithm is constructed in order to enhance the computational efficiency. The simulation optimization model simulates the process of dispatching containers and loading vessel. The feasible solution is constructed through rules sets and inputted into the optimization model. An efficient encoding and decoding solutions are developed in genetic algorithm, …
A 3d Convolution Neural Network For Operational Aggregation Behavior Prediction, Liao Ying, Yi Zhuo, Xiaofeng Hu, Tian Yuan, Jiuyang Tao
A 3d Convolution Neural Network For Operational Aggregation Behavior Prediction, Liao Ying, Yi Zhuo, Xiaofeng Hu, Tian Yuan, Jiuyang Tao
Journal of System Simulation
Abstract: Operational aggregation behavior prediction has encountered the challenges of large feature space, dynamic changes of related combat units and large behavior noise, etc. To address these issues, a operational aggregation behavior prediction method based on a 3D convolution neural network is proposed. In this method, a three-dimension convolution neural network is constructed by introducing the time dimension into the two-dimension convolution so as to recognize the operational aggregation behaviors. After that, a reconfigurable hierarchical long short-term memory (LSTM) network is adopted to analyze the temporal aggregation behavior data of related combat units, with which the key factors of aggregation …
Modeling Of Submarine Torpedo-Launching Simulation, Jinping Wu, Junchao Mao, Wenqiang Ding
Modeling Of Submarine Torpedo-Launching Simulation, Jinping Wu, Junchao Mao, Wenqiang Ding
Journal of System Simulation
Abstract: In order to lay foundation for modeling and simulation of operation problems such as torpedo attacking, torpedo operation application and torpedo operation effectiveness analysis, etc., the model of submarine torpedo-launching is built in the way of qualitative analysis and classical mathematics. As an important composition of submarine torpedo-attacking, torpedo-launching mainly means the course from torpedo out-tube to hitting target or voyage end, which is between the stage of “controlling weapon launching” and “observing attack effectiveness” during the whole torpedo-attacking course. Through analyzing the seven-stage trajectory process of torpedo-launching, the target detecting model and acoustic homing range model of …
Design And Implementation Of Signal Level Mono-Pulse Tracking Radar Simulation System, Chaoxuan Shang, Zhao Yang, Zhuangzhi Han, Han Ning
Design And Implementation Of Signal Level Mono-Pulse Tracking Radar Simulation System, Chaoxuan Shang, Zhao Yang, Zhuangzhi Han, Han Ning
Journal of System Simulation
Abstract: In view of the poor compatibility between the particle size of simulation and tracking feedback control in tracking radar simulation system, a signal level mono-pulse tracking radar simulation system is constructed based on SystemVue simulation platform. Simulation system is layered and simulation framework is built according to the requirements of the simulation system. The key technologies in the process of simulation are analyzed, and the simulation results with distance and angle tracking loop are given. System implementation is of great significance for mono-pulse radar system design, demonstration, equipment development appraisal as well as combat training and …
Parameter Identification For Pmsm Based On Multi-Innovation Approximate Least Absolute Deviation Identification Algorithm, Dinghui Wu, Jianyu Zhang, Yanxia Shen, Zhicheng Ji
Parameter Identification For Pmsm Based On Multi-Innovation Approximate Least Absolute Deviation Identification Algorithm, Dinghui Wu, Jianyu Zhang, Yanxia Shen, Zhicheng Ji
Journal of System Simulation
Abstract: In view of the problem that the results of traditional identification algorithm are not accurate caused by the peak noise signal in the environment, a new algorithm based on the forgetting factor multi-innovation approximate least absolute deviation (MIALAD) identification algorithm is proposed. Combined with the system voltage equation of permanent magnet synchronous motor (PMSM), a discrete identification model is constructed. By using vector control method, the input and output data of the identification model are obtained to identify the rotor resistance and inductance. The simulation results show that this identification algorithm can obtain the accurate parameters of the PMSM …
Interval Fuzzy Modeling Based On Minimizing-Norm On Approximation Error, Xiaoyong Liu, Zhonggang Xiong, Changguo Yan
Interval Fuzzy Modeling Based On Minimizing-Norm On Approximation Error, Xiaoyong Liu, Zhonggang Xiong, Changguo Yan
Journal of System Simulation
Abstract: As the obtained data in many practical applications tend to be uncertain or inaccurate, conventional modeling methods characterized by deterministic model for this type of data have become undesirable. Taking linear programming and TS fuzzy model and some ideas from norm minimization into consideration, a novel method identifying interval fuzzy model (INFUMO) consisting of upper and lower TS fuzzy model (referred to as fU and fL) has been studied. In order to solve INFUMO, optimization problems based on minimizing-norm with respect to approximation error corresponding to fU and fL are constructed. Finally, optimization problems …
Prediction Model Of Particle Size Distribution In Bauxite Continuous Ball Milling Process, Tianyu Ma, Yalin Wang, Kun Shen, Jinping Liu
Prediction Model Of Particle Size Distribution In Bauxite Continuous Ball Milling Process, Tianyu Ma, Yalin Wang, Kun Shen, Jinping Liu
Journal of System Simulation
Abstract: As it is difficult to detect the particle size distribution of ball milling process on line, a prediction model of particle size distribution in bauxite continuous ball-milling process is proposed, which is based on data-driven method and population balance model (PBM) frame. The break-rate model structure of PBM is improved according to the characteristic data of batch grinding test of bauxite. The residual time distribution density function is improved by considering the characteristics of residence time distribution for different particle sizes. The key parameters of the model are optimized by the data of batch-test and continuous ball-milling process using …
Modeling And Simulation Of The Crosstalk On Aircraft Arinc429 Data Bus, Xudong Shi, Ruowen Wang, Jialin Wang, Hongxu Zhao
Modeling And Simulation Of The Crosstalk On Aircraft Arinc429 Data Bus, Xudong Shi, Ruowen Wang, Jialin Wang, Hongxu Zhao
Journal of System Simulation
Abstract: Based on the theory of multi-conductor transmission line, the crosstalk between a single cable and a UTP (unshielded twisted pairs) cable was studied. The MATLAB and CST were employed to do the theoretical calculation and modeling respectively, and the comparison result proved the validity and accuracy of the proposed model. Based on the UTP model, the shielding layer was used to build the STP（shielded twisted-wire pairs） model according to the ARINC429 specification, and the crosstalk which caused by a large voltage transient happening on the adjacent power line on the aircraft was further analyzed. The distance and length of …
Research And Simulation For Military Contests Based On Ahp And Entropy Models, Rusheng Ju, Zhengqiu Zhu, Yunxiu Zeng, Ruixian Wang, Xiaogang Qiu
Research And Simulation For Military Contests Based On Ahp And Entropy Models, Rusheng Ju, Zhengqiu Zhu, Yunxiu Zeng, Ruixian Wang, Xiaogang Qiu
Journal of System Simulation
Abstract: The paper studiesthe comprehensive military contests which are held frequently among military universities. Different from the qualitative analysis methods before, an analytic hierarchy process model is set up to analyze the effects which training programs have on students. A great amount of data is put into the entropy model to analyze the rationality of AHP model. This paper also sets the effect value as the input data of the emulating model to simulate the whole exercise process before contests which can verify the results received from AHP and entropy models. Research findings are helpful for superior leaders to make …
Research On Wind Turbine Test System Based On Jointsimulation, Zhongyue Song, Zhen Dong, Zhang Hao, Zhanqun Shi, Jiaojiao Ma
Research On Wind Turbine Test System Based On Jointsimulation, Zhongyue Song, Zhen Dong, Zhang Hao, Zhanqun Shi, Jiaojiao Ma
Journal of System Simulation
Abstract: As the test equipment of wind turbine can not simulate wind driven exactly and the impact of environmental factors is hard to be taken into account, the simulation results have larger errors. The problem is solved by establishing the virtual test bench in the way of combined simulation. The wind speed modelis optimized by combining the fitting of probability and the combinated wind speed model to drive the wind turbine;and the settings of some relevant contact force parameters are considered,which canmake the simulation results are closer to the actual situation. The credibilityof the system isdemonstrated and the validity …
Design Of Ground Online Flight Simulation System, Changgui Yu, Hongrui Xiong, Tian Kai, Chuntao Li
Design Of Ground Online Flight Simulation System, Changgui Yu, Hongrui Xiong, Tian Kai, Chuntao Li
Journal of System Simulation
Abstract: Aiming at the high cost and the immovable characteristics of the airplane iron bird test-bed and the semi-physical simulation laboratory, a highly integrated and movable system named as ground online flight is introduced. The dynamics and kinematics of unmanned aerial vehicle, sensors model, engines model and related subsystems are established and integrated into a device; the connections of 1553B, RS422, analog signal, discrete signal, pulse signal, PWM signal and so on are implemented. The wind model and the typical system faults are set up to study the robustness of the UAV, and test the UAV strategy which …
Evaluation Of Simulation Credibility Based On Rough Set And Gray Correlation Analysis, Huibo Liu, Yongjie Qian
Evaluation Of Simulation Credibility Based On Rough Set And Gray Correlation Analysis, Huibo Liu, Yongjie Qian
Journal of System Simulation
Abstract: The evaluation of simulation model credibility has always been a hot issue in the simulation field. How to evaluate the credibility of the simulation is the key to the development of the simulation technology. It is of great significance for our country to carry out the credibility evaluation research. In view of the issue, the grey correlation analysis theory and the related principles in rough set theory are analyzed and the simulation credibility evaluation model based on rough set and grey correlation analysis is proposed. The indiscernibility principle in rough set is used to assign the weight distribution of …
An Autonomous Cognitive Model Simulating Basal Ganglia Mechanism, Zongshuai Li, Chen Jing
An Autonomous Cognitive Model Simulating Basal Ganglia Mechanism, Zongshuai Li, Chen Jing
Journal of System Simulation
Abstract: Aiming at autonomous cognition problem, applying the winner-takes-all(WTA) learning mechanism, using cortical-striatal synaptic modification principle in basal ganglia, as well as based on the operant conditioning reflex theory, the basal ganglia autonomous cognitive model is established, which is suitable for the cognitive learning with limited actions. Skinner's pigeons experiment was simulated by applying this bionic learning model, which showes a gradual process of adaptive learning. The simulation results reflect that the proposed cognitive model is effective and can be used in the balance learning for a self-balancing robot. In the premise of unknown robot mathematical model, the purpose of …
Simulation Of Taxi Passenger Travel Mode Considering The Influence Of Online Booking Taxi, Cao Yi, Yanjin Li, Luo Xia
Simulation Of Taxi Passenger Travel Mode Considering The Influence Of Online Booking Taxi, Cao Yi, Yanjin Li, Luo Xia
Journal of System Simulation
Abstract: To reflect a systematic account of the impact online booking taxi and cruise taxi under the condition of information, the travelling mode choice of taxi passengers was researched. The influence factors of travelling mode choice of taxi passengers were analyzed and the time values related to passenger’s own characteristics were evaluated. The functions of waiting time of online booking taxi passengers and cruise taxi passengers were formed by investigating the difference of searching behavior. Through using simulation method, the priority for online booking taxi, cruise taxi and private cars was obtained .The results showed that the online booking …
High Order Numerical Method For System Of Fractional Differential Equations, Luan Xin, Xin Jia, Dalei Song, Weijia Zhao
High Order Numerical Method For System Of Fractional Differential Equations, Luan Xin, Xin Jia, Dalei Song, Weijia Zhao
Journal of System Simulation
Abstract: A spectral deferred correction method for classical ordinary differential equations is extended and reconstructed to solve a system of fractional differential equations (FDES) by accelerating the convergence of lower order schemes. Based on the residual function and the error equation deduced from Volterra integral equations equivalent to the fractional differential equations, a new high order numerical method for a system of FDES is constructed according to the idea of spectral deferred correction. The proposed method allows that one can use a relatively few nodes to obtain the high accuracy numerical solutions of FDES without the penalty of a …
Dynamic Characteristics Research Of Torsional Vibration Generator, Jialin Tian, Du Fan, Yonghao Zhu, Chuanhong Fu
Dynamic Characteristics Research Of Torsional Vibration Generator, Jialin Tian, Du Fan, Yonghao Zhu, Chuanhong Fu
Journal of System Simulation
Abstract: Aiming at poor drill ability and low rate of penetration during the drilling process, a torsional vibration generator is presented. The structure and the operational principle of the torsional vibration generator are analyzed according to the torsional theory. The relationships among the collision frequency,the amount of hydraulic hammer compression, the torque, the inlet pressure, and inlet flow are obtained on the basis of its dynamic model, which is established in light of the actual working condition. Compared with the example calculation, the experimental test verifies the accuracy and reliability of calculation method. The research results show that when the …
Health Warning And Fault Diagnosisof Pulverizing System Based On Syncretic Similarity, Songming Jiao
Health Warning And Fault Diagnosisof Pulverizing System Based On Syncretic Similarity, Songming Jiao
Journal of System Simulation
Abstract: It is an arduous task to know health statusof a pulverizing system in power plant by monitoring these parameters simultaneously and the fault diagnosing process is complicated.An approach based on syncretic similarity is presented which is suitable for industrial system’s health warning and fault diagnosis.The syncretic similarity couples anew type of weighted mahalanobis distance based on principal component analysiswith an improved weighted sine similarity. The approachhas self-learning ability.Central parameterswhich are used to compute similarity can be modified along with the operation process.Simulation resultsshow that the method is suitable for online application because of its high accuracy, fast …
Synthetic Evaluationmethod Based On Grey Evaluation Method And Analytic Hierarchy Model Theory, Xiangyu Sun, Chao Tao, Songyan Wang, Ma Ping
Synthetic Evaluationmethod Based On Grey Evaluation Method And Analytic Hierarchy Model Theory, Xiangyu Sun, Chao Tao, Songyan Wang, Ma Ping
Journal of System Simulation
Abstract: To solve the problems that judging matrix is complex and evaluation information from experts is not always objective in Analytic Hierarchy Process (AHP) method during the unstructured decision making application, a new synthetic evaluationmethod based on grey evaluation method and analytic hierarchy model theory (AHM) isproposed. GroupAHM method is used to judge the relative weight between any two of indexes based on relative weight evaluation information from experts in the relevant research field and grey evaluation method is used to synthesize the index evaluation information from experts. Evaluation result is obtained by mapping synthesizing result of relative property weight …
Modeling And Analysis Of Operation Benefit For Electric Vehicle Battery Swapping Station, Weiqing Sun, Shunfeng Chen, Liu Tong, Xiaodong Wu
Modeling And Analysis Of Operation Benefit For Electric Vehicle Battery Swapping Station, Weiqing Sun, Shunfeng Chen, Liu Tong, Xiaodong Wu
Journal of System Simulation
Abstract: The operators of electric vehicle battery swapping stations (EVBSS) seek the maximization of benefit by optimizing the modeling. The changes of operating parameters such as battery swapping demand could affect EVBSS benefits. A linear programming model for EVBSS maximum benefit is established. Based on the sensitivity analysis, it is found that the EVBSS benefit is mainly affected by operating parameters such as battery swapping price, battery depreciation cost, electricity price, etc. For power grid, the sensitivity parameters of peak load shifting are charging-pile number and battery number. The optimal quantity of EVBSS internal infrastructure investment is analyzed. The establishment …