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Integrated Planning of Charging Piles and Battery Swapping Stations Considering Spatiotemporal Distribution of Electric Vehicles

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CSEE Journal of Power and Energy systems 2022年第3期11卷 1236-1252页

作者： Liang Zhang Ruyi Huo Guowei Cai Koh Leong Hai Ling Lyu Peng Wang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China Energy Research Institute Nanyang Technological University Singapore School of Electrical and Electronic Engineering Nanyang Technological University Singapore

With the rapid adoption of electric vehicles (EVs), more charging and battery swapping facilities are needed to meet growing demand. However, a single type of charging or swapping facility cannot simultaneously and efficiently satisfy the power supply requirements of diverse vehicle types. In order to solve this problem, a joint planning method of charging piles and charging-battery swapping stations (CBSSs) is proposed in this paper. In this method, the influence of geospatial constraints on the layout scale of charging piles is considered, and the Monte Carlo simulation method is used to predict the spatiotemporal distribution of charging and battery swapping demands of private electric vehicles (PEVs) and the battery swapping demands of taxi electric vehicles (TEVs) respectively. On this basis, the layout scale of charging piles of each functional area is determined during the maximum charging demand period in a day to meet the demands of PEVs for charging convenience. Then, an operating state model of CBSS is established for calculation of the objective function. At the same time, a planning model of CBSSs is established to minimize the annual social comprehensive cost, which takes into account the economy of CBSSs and the battery swapping convenience of EVs. The planning of CBSSs can meet the demands of TEVs and some PEVs for a rapid power supply. Finally, using the urban transportation network of Changchun and IEEE 33-node system as an example, the planning of charging piles and CCBSs in direct charging mode and peak shifting mode are simulated and analyzed. The simulation results show that the proposed method enables PEVs and TEVs to access convenient and rapid power supply, and the planning result of CBSSs in direct charging mode is more economical, while peak shifting mode is more conducive to the safe operation of distribution networks.

关键词： Batteries Planning Charging stations Decision making Costs Electric vehicles Capacity planning

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An Acid Rain–Friendly Nh3 control Strategy to Maximize Benefits Toward Human Health and the Ecosystem

SSRN

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SSRN 2022年

作者： Dong, Zhaoxin Wang, Shuxiao Jiang, Yueqi Xing, Jia Ding, Dian Zheng, Haotian Hao, Jiming State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing100084 China Institute for Atmospheric and Earth System Research/Physics Faculty of Science University of Helsinki Helsinki00014 Finland

Ammonia (NH3) abatement remains controversial in China owing to its effectiveness in reducing PM2.5 pollution and nitrogen deposition but with the potential risk of promoting acid rain formation, necessitating scientific guidance. Here, we propose a novel method for designing an NH3 control strategy to mitigate both air pollution and nitrogen deposition without significantly exacerbating acid rain. This method involves extending the response surface model (RSM) to deposition using a delicately developed polynomial response function of deposition (i.e., dep-RSM). The Yangtze River Delta (YRD) dep-RSM application reveals that 16 out of 41 cities have NH3 control potentials from 15% to 71%. Excellent NH3 control potentials have been noted between April and June (78%–92%). From 2013 to 2017, the effective SO2 and NOx control significantly reduced wet sulfur and oxidized nitrogen deposition, providing considerable NH3 abatement potentials (15%–24%) to further reduce PM2.5 and nitrogen deposition by up to 2% and 9%, respectively, without acid rain exacerbation (the wet neutralization factor was maintained). Additionally, 57% and 73% NH3 emission reduction potentials were obtained under acid rain constraints with 75% and 86% reductions in the other precursors to reduce the average PM2.5 concentration below 25 and 15 µg/m3, and an additional 8408 and 14459 premature deaths could only be avoided at an extra cost of 8.7 and 19.7 billion CNY, respectively. Meanwhile, the N deposition considerably reduced by 10 and 13 kgN/ha·yr. However, the YRD region could still simultaneously obtain substantial amounts of PM2.5 and N deposition mitigation using the strategy proposed herein. The expanded optimization system can be directly adopted by policymakers to implement coordinated control in regions or countries facing the same NH3 control conundrum. © 2022, The Authors. All rights reserved.

关键词： Ammonia

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Symplectic Wigner Distribution in the Linear Canonical Transform Domain: Theory and Application

arXiv

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arXiv 2025年

作者： He, Yangfan Zhang, Zhichao School of Communication and Artificial Intelligence School of Integrated Circuits Nanjing Institute of Technology Nanjing211167 China School of Mathematics and Statistics Nanjing University of Information Science and Technology Nanjing210044 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of Computational Science Application of Hainan Province Hainan Normal University Haikou571158 China Key Laboratory of Numerical Simulation of Sichuan Provincial Universities School of Mathematics and Information Sciences Neijiang Normal University Neijiang641000 China

This paper devotes to combine the chirp basis function transformation and symplectic coordinates transformation to yield a novel Wigner distribution (WD) associated with the linear canonical transform (LCT), named as the symplectic WD in the LCT domain (SWDL). It incorporates the merits of the symplectic WD (SWD) and the WD in the LCT domain (WDL), achieving stronger capability in the linear frequency-modulated (LFM) signal frequency rate feature extraction while maintaining the same level of computational complexity. Some essential properties of the SWDL are derived, including marginal distributions, energy conservations, unique reconstruction, Moyal formula, complex conjugate symmetry, time reversal symmetry, scaling property, time translation property, frequency modulation property, and time translation and frequency modulation property. Heisenberg’s uncertainty principles of the SWDL are formulated, giving rise to three kinds of lower bounds attainable respectively by Gaussian enveloped complex exponential signal, Gaussian signal and Gaussian enveloped chirp signal. The optimal symplectic matrices corresponding to the highest time-frequency resolution are generated by solving the lower bound optimization (minimization) problem. The time-frequency resolution of the SWDL is compared with those of the SWD and WDL to demonstrate its superiority in LFM signals time-frequency energy concentration. A synthesis example is also carried out to verify the feasibility and reliability of the theoretical analysis. Copyright © 2025, The Authors. All rights reserved.

关键词： Wigner-Ville distribution

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Investigation of The Anti-icing Performance of Superhydrophobic Silicone Rubber

Investigation of The Anti-icing Performance of Superhydropho...

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2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022

作者： Liu, Shuming Liu, Shuqi Wang, Qian Zuo, Zhou Wang, Tingting Luo, Bing Liang, Xidong Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Beijing100084 China Csg Electric Power Research Institute Co. Ltd. Guangzhou510663 China The Natl. Eng. Res. Ctr. for Ultra High Voltage Eng. Technol. and Innov. Elec. Equipment Foundation China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

Composite insulators, as an important part of outdoor transmission lines, always suffer from various environmental stress, and the large-scale icing accretion problem is one of the dangerous threats. In this paper, superhydrophobic silicone rubber was prepared by surface coating method, and its anti-icing performance compared with pristine silicone rubber was investigated. The superhydrophobic surface can repel water droplets so that the droplets can be removed easily before freezing. For the sessile droplets, the freezing speed on the pristine silicone rubber is faster than the process on coated silicone rubber. After completing freezing, the deicing force on pristine silicone rubber is bigger than that on coated silicone rubber. In summary, the superhydrophobic silicone rubber showed more excellent performance in inhibiting ice accretion than the pristine silicone rubber, and it is a potential solution to the icing problem in the power system. © 2022 IEEE.

关键词： Electric power transmission

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An Equivalent Modeling Method for Integrated Hydro-Photovoltaic-Wind systems Based on Particle Swarm Optimization and Neural Networks

An Equivalent Modeling Method for Integrated Hydro-Photovolt...

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Intelligent Power and systems (ICIPS), International Conference on

作者： Ying Huang Yuanhong Lu Yanjun Zhao Yufeng Hu Jie Zhang Haiping Guo State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou 510663 China Southern Power Grid Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China

ISBN: (数字)9798331532765

ISBN: (纸本)9798331532772

The fault transient characteristics of power grids have undergone a fundamental transformation as a consequence of the advent of hybrid scale access to power grids by new energy sources. Nevertheless, the existing stand-alone equivalent model is unable to accurately characterise the fault transient characteristics of the hybrid light-water-wind electric field/cluster. Furthermore, the simulation computation of the stand-alone equivalent model is considerable in scale and the simulation efficiency is low. This paper proposes a particle swarm neural network-based clustered equivalent modelling method for a light-water-wind hybrid electric field. Firstly, a transient model of the light-water-wind hybrid electric field is established, and the characteristic influence factors of faults are constructed through theoretical analysis. These include the distance between the light-water-wind hybrid electric field and the point of common coupling (PCC), the input of current limiting measures on the DC side, the light, the water speed, the wind speed, and the reactive power at the outlet. Subsequently, the Euclidean distance is calculated for the set of characteristic influencing factors, and the initial centre of clustering of wind turbines is extracted based on the improved maximum-minimum distance method. Ultimately, the clustering equivalent modelling is accomplished through the utilisation of the aforementioned feature influencing factors and the classification initial centre as the training set. The simulation results show that compared with the single-machine equivalent model, The simulation error has been reduced from the order of magnitude of 10-2 p.u. to the order of magnitude of 10-4 p.u., while the simulation efficiency of this method is has been reduced from the order of magnitude of 10-2 s to the order of magnitude of 10-4 s.

关键词： Adaptation models Reactive power Power measurement Computational modeling Wind speed Robustness Power grids Electric fields Transient analysis Particle swarm optimization

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Capacity and Power Allocation Strategy of Energy Storage Participating in Grid Peak Shaving 5

Capacity and Power Allocation Strategy of Energy Storage Par...

引用

5th IEEE Conference on Energy Internet and Energy system Integration, EI2 2021

作者： Qi, Tengyun Xu, Fei Wu, Qiren Li, Yajing Liu, Jianping Li, He Wang, Yiming Li, Cuiping Li, Junhui China Three Gorges Corporation Beijing China Haidian District Beijing China Co. Ltd Beijing101100 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781665434256

High penetration wind power grid with energy storage system can effectively improve peak load regulation pressure and increase wind power capacity. In this paper, a capacity allocation method of energy storage system under peak load regulation scenario is proposed. The upper model combines the investment cost, operation cost, arbitrage income, environmental income, and wind power grid benefits during the entire life cycle of the energy storage system, with the goal of maximizing the net income during the energy storage life cycle;the lower model optimizes the charging and discharging power of the energy storage system according to each energy storage configuration scheme in the upper modeling, and its objective is to minimize the standard deviation of system net load and waste wind power. Finally, under the conditions of local grid load and wind power data, verified the effectiveness of capacity allocation strategy. © 2021 IEEE

关键词： Economic analysis

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Optimization Study on the control Strategy of DC Line Fault Recovery for Yongren-Funing HVDC

Optimization Study on the Control Strategy of DC Line Fault ...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Yukun Zhu Libin Huang Shuyong Li Yihua Zhu Yantao Song Ren Liu State Key Laboratory of HVDC China Southern Power Grid Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation China Southern Power Grid Electric Power Research Institute Guangzhou China XJ Electric Co Ltd Xuchang China

The ±500kV Yongren-Funing HVDC transmission project is the first HVDC project whose sending and receiving ends are both located in the same province. When DC line fault happened under the condition of inter-communication fault between the pole control systems of the rectifier and inverter stations, the HVDC system cannot be blocked because of the frequent repeating actions of the DC line fault recovery in the inverter station. In order to solve the problem, an optimal control strategy of direct blocking HVDC system was proposed to solve the above issue. The optimization control strategy was verified by RTDS simulation. The simulation results showed that the proposed optimization control strategy of the DC line fault recovery could solve the above problems effectively. The proposed strategy has already been implemented on site permanently, which has great significance for the HVDC/UHVDC transmission projects in operation currently.

关键词： HVDC transmission simulation Capacitors Rectifiers Optimal control system integration Inverters

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The Day-ahead Scenario Generation Method for New Energy Based on an Improved Conditional Generative Diffusion Model

arXiv

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arXiv 2025年

作者： Wang, Changgang Liu, Wei Cao, Yu Liang, Dong Li, Yang Mo, Jingshan Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin132012 China School of Electrical Engineering Northeast Electric Power University Jilin Province Jilin132012 China Jilin Power Supply Company Substation Secondary Maintenance Center Jilin Province Jilin132012 China

In the context of the rising share of new energy generation, accurately generating new energy output scenarios is crucial for day-ahead power system scheduling. Deep learning-based scenario generation methods can address this need, but their black-box nature raises concerns about interpretability. To tackle this issue, this paper introduces a method for day-ahead new energy scenario generation based on an improved conditional generative diffusion model. This method is built on the theoretical framework of Markov chains and variational inference. It first transforms historical data into pure noise through a diffusion process, then uses conditional information to guide the denoising process, ultimately generating scenarios that satisfy the conditional distribution. Additionally, the noise table is improved to a cosine form, enhancing the quality of the generated scenarios. When applied to actual wind and solar output data, the results demonstrate that this method effectively generates new energy output scenarios with good adaptability. © 2025, CC BY-NC-ND.

关键词： Markov chains

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Power Trajectory Preset Strategy for Preventing Stall during Frequency Regulation of DFIG

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Smart Power 2024年第2期52卷 108-114页

作者： Han, Yanhai Zhang, Haosong Yang, Dejian Wang, Xin Sang, Shun Key Laboratory of Modern Power System Simulation Control and New Technology of Green Electric Energy Ministry of Education Northeast Electric Power University Jilin132012 China School of Electrical Engineering Nantong University Jiangsu226019 China

In order to solve the problem of secondary frequency drop and the wind turbine stall of doubly-fed induction generator in the process of stepwise inertia control（SIC），on the basic of the ramp type SIC，this paper establishes a mathematical model of the time in the linear decline phase related to the incremental power in the deceleration phase and the reduced power in the acceleration phase, calculating the maximum duration of the linear decline phase. The calculated maximum duration is used to avoid the wind turbine stall during the power linear decline phase，so as to provide the same frequency support capability as the ramp type SIC，while avoiding the wind turbine stall and reducing the second frequency drop. The simulations on a EMTP-RV platform of different disturbances，wind power penetration，and wind speed conditions are carried out to verify the effectiveness of the proposed method. © 2024 Zhihui Dianli Bianjibu. All rights reserved.

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Dc Fault Ride-Through control for Mmc-Hvdc Grid-Connected Wind Farm Based on Energy Storage system

SSRN

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SSRN 2023年

作者： Sun, Yinfeng Guo, Yuhang Lu, Yuze Lu, Mingzhi Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Shijiazhuang Gaocheng District Electric Supply Company No. 76 Changsheng South Street Gaocheng District Shijiazhuang052160 China

Large wind farms connected to the grid through MMC-HVDC systems can cause overloading of the non-faulty converter station after a DC fault. This short communication proposes a system fault ride-through method by coordinating and controlling the energy storage system, the non-faulty converter station and the wind farm to jointly consume the unbalanced power during the fault. The model is created in the PSCAD simulation platform, and the correctness and effectiveness of the method are verified by simulation. © 2023, The Authors. All rights reserved.

关键词： Energy storage

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