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Impact of EV load uncertainty on optimal planning for electric vehicle charging station

Science China(Technological Sciences) 2021年第11期64卷 2469-2476页

作者： LONG YiLin LI Yong WANG YaHui CAO YiJia JIANG Lin ZHOU YiCheng DENG YouYue NAKANISHI Yosuke College of electrical and Information Engineering Hunan UniversityChangsha 410082China Department of electrical Engineering and Electronics University of LiverpoolLiverpool L693BXUK Graduate School of Environment and Energy Engineering Waseda UniversityTokyo 169-8050Japan

With the development of electric vehicles(EV), there is a huge demand for electric vehicle charging stations(EVCS). The utilization of renewable energy sources(RES) in EVCS can not only decrease the energy fluctuation by participating in peakload reduction of the grid, but also reduce the pollution to the environment by cutting down the use of fossil fuels. In this paper,the optimal planning for grid-connected EVCS with RES is studied by considering EV load uncertainty. Nine scenarios are set based on a different characteristic of EV load to reveal the impact of EV load on net present cost(NPC) and to express the relationship between the optimal capacity and energy flow. Moreover, since electricity price also plays an important role in EVCS planning, an economic comparison between different cases with different electricity prices for peak-valley-flat period is carried out. The results reveal the economic benefits of applying RES in EVCS, and demonstrate that EV load with different characteristics would influence the capacity of each device(PV, battery, converter) in the EVCS optimal planning.

关键词： electric vehicle charging station renewable energy optimal planning load uncertainty

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Modelling of electric vehicle charging station and controlled by fuzzy logic controller with different modes of operation

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Journal of Control and Decision 2023年第1期10卷 26-39页

作者： S.C.Vijay Kumar K.Karunanithi S.P.Raja S.Ramesh P.Chandrasekar R.Obulupathy vel tech rangarajan dr.sagunthala r&d institute of science and technology chennaitamil naduindia school of computer science and engineering vellore institute of technologyvelloretamil naduindia

The main objective of implementing charging stations is to ensure the good charging to theelectric vehicles by using a solar PV array which is interconnected to the battery energy storagesystems. The charging station regulates the supply voltage and frequency without the use of amechanical speed governor. It also assures that energy gained from grid or by the DG set willhave the unity power factor (UPF) when the load is nonlinear. Besides this, the Point of CommonCoupling (PCC) voltage is synchronised with the grid/generator voltage in order to providecontinuous charging. In order to increase the optimal efficiency of the charging stations, thecharging stations will perform the active/reactive power transfer from the vehicle to grid, vehicleto house and vehicle to vehicle (V2V) power transfer. The operational experiment of the chargingstation is simulated and verified by using MATLAB/SIMULINK.

关键词： electric vehicle charging station solar photo-voltaic generation energy transfer diesel-generator set fuzzy logic controller total harmonic distortion

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Location and Capacity Determination Method of electric vehicle charging station Based on Simulated Annealing Immune Particle Swarm Optimization

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Energy Engineering 2023年第2期120卷 367-384页

作者： Jiulong Sun Yanbo Che Ting Yang Jian Zhang Yibin Cai Key Laboratory of Smart Grid of Education Ministry Tianjin UniversityTianjin300072China Tianjin electric Power Company State GridTianjin300010China

As the number of electric vehicles(EVs)continues to grow and the demand for charging infrastructure is also increasing,how to improve the charging infrastructure has become a bottleneck restricting the development of *** other words,reasonably planning the location and capacity of charging stations is important for development of the EV industry and the safe and stable operation of the power *** the construction and maintenance of the charging station,the distribution network loss of the charging station,and the economic loss on the user side of the EV,this paper takes the node and capacity of charging station planning as control variables and the minimum cost of system comprehensive planning as objective function,and thus proposes a location and capacity planning model for the EV charging *** on the problems of low efficiency and insufficient global optimization ability of the current algorithm,the simulated annealing immune particle swarm optimization algorithm(SA-IPSO)is adopted in this *** simulated annealing algorithm is used in the global update of the particle swarm optimization(PSO),and the immune mechanism is introduced to participate in the iterative update of the particles,so as to improve the speed and efficiency of *** diagram is used to divide service area of the charging station,and a joint solution process of Voronoi diagram and SA-IPSO is *** example analysis,the results show that the optimal solution corresponding to the optimisation method proposed in this paper has a low overall cost,while the average charging waiting time is only 1.8 min and the charging pile utilisation rate is 75.5%.The simulation comparison verifies that the improved algorithm improves the operational efficiency by 18.1%and basically does not fall into local convergence.

关键词： electric vehicle charging station location selection and capacity configuration loss of distribution system simulated annealing immune particle swarm optimization Voronoi diagram

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Fault Diagnosis of electric vehicle charging station Based on Empirical Wavelet Transform and Entropy

Fault Diagnosis of Electric Vehicle Charging Station Based o...

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第40届中国控制会议

作者： Rui Zhao Jinxing Lin Hui Gao Liangliang Chen College of Automation & College of Artificial Intelligence Nanjing University of Posts and Telecommunications NARI Technology CO. Ltd

Considering the influence of non-Gaussian noise in electric vehicle charging stations on converter fault signals,in order to detect fault types accurately,a method of fault detection of inverter was proposed,which combines empirical wavelet transform（EWT） and cyclic entropy（CCE） First of all,the model of electric vehicle charging station and analysis of the open circuit fault of IGBT components are ***,the improved EWT method is used to decompose the original signal,and the modes obtained from decomposition were *** more,considering the problem of the degradation of EWT’s decomposition performance of non-Gaussian noise,the reconstructed signal was mapped to the cyclic entropy spectrum by cyclic entropy,and the fault feature values of various types of open-circuit faults were ***,the simulation experiment results show that this fault diagnosis method is suitable for inverter fault detection in a non-Gaussian noise environment,which has good accuracy and practicability.

关键词： electric vehicle charging station fault diagnosis non-Gaussian noise empirical wavelet transform cyclic correntropy

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Optimal Simultaneous Allocation of electric vehicle charging stations and Capacitors in Radial Distribution Network Considering Reliability

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Journal of Modern Power Systems and Clean Energy 2024年第5期12卷 1584-1595页

作者： B.Vinod Kumar Aneesa Farhan M A the Department of electrical and Electronic Engineering National Institute of Technology TiruchirappalliTamilnaduIndia

The popularity of electric vehicles(EVs)has sparked a greater awareness of carbon emissions and climate *** mobility expansion and EV adoption have led to an increased infrastructure for electric vehicle charging stations(EVCSs),impacting radial distribution networks(RDNs).To reduce the impact of voltage drop,the increased power loss(PL),lower system interruption costs,and proper allocation and positioning of the EVCSs and capacitors are *** paper focuses on the allocation of EVCS and capacitor installations in RDN by maximizing net present value(NPV),considering the reduction in energy losses and interruption *** a part of the analysis considering reliability,several compensation coefficients are used to evaluate failure rates and pinpoint those that will improve *** locate the best nodes for EVCSs and capacitors,the hybrid of grey wolf optimization(GWO)and particle swarm optimization(PSO)(HGWO_PSO)and the hybrid of PSO and Cuckoo search(CS)(HPSO_CS)algorithms are proposed,forming a combination of GWO,PSO,and CS *** impact of EVCSs on NPV is also investigated in this *** effectiveness of the proposed optimization algorithms is validated on an IEEE 33-bus RDN.

关键词： electric vehicle charging station optimization radial distribution network vehicle-to-grid loss reduction reliability

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