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Dynamic economic evaluation of hundred megawatt-scale electrochemical energy storage for auxiliary peak shaving

Protection and Control of Modern Power systems 2023年第3期8卷 252-269页

作者： Junhui Li Gang Mu Jiahui Zhang Cuiping Li Gangui Yan Haotian Zhang Guohang Chen Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China State Grid Zhejiang Pinghu City Electric Power Supply Company.LTD. Pinghu 314200Zhejiang ProvinceChina.

With the rapid development of wind power,the pressure on peak regulation of the power grid is ***-chemical energy storage is used on a large scale because of its high efficiency and good peak shaving and valley fill-ing *** economic benefit evaluation of participating in power system auxiliary services has become the focus of attention since the development of grid-connected hundred megawatt-scale electrochemical energy storage systems(ESS).Based on the relationship between power and capacity in the process of peak shaving and valley filling,a dynamic economic benefit evaluation model of peak shaving assisted by hundred megawatt-scale electrochemi-cal ESS considering the equivalent life of the battery is *** model considers the investment cost of energy storage,power efficiency,and operation and maintenance costs,and analyzes the dynamic economic benefits of dif-ferent energy storage technologies participating in the whole life cycle of the power ***,according to the cur-rent ESS market environment,the auxiliary service compensation price,peak-valley price difference and energy stor-age cost unit price required to make the energy storage technology achieve the balance of payments are calculated,and the economic balance points of different energy storage types are ***,based on the measured data of different provincial power grids,the economies of six energy storage types applied to three provincial power grids are compared and analyzed,and the rationality and effectiveness of the relevant models proposed are *** work has theoretical guiding significance for the economic benefit evaluation of hundred megawatt-scale electro-chemical energy *** 1 A proportional relationship between grid filling power and capacity demand is *** is used to determine the energy storage configuration for auxiliary peak shaving.2 A dynamic economic evaluation model considering energy storage investment and mai

关键词： auxiliary valley electrochemical

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Multi-Robot Path Planning in Narrow Warehouse Environments with Fast Feasibility Heuristics 41

Multi-Robot Path Planning in Narrow Warehouse Environments w...

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第41届中国控制会议

作者： Jiaxi Huo Ronghao Zheng Senlin Zhang Meiqin Liu College of Electrical Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Zhejiang University Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we present a novel method for solving the multi-robot path planning problem in narrow warehouse *** may have to be operated in close proximity to each other in narrow lanes between pod clusters,which challenges robot-robot collision *** motivates us to consider an efficient algorithm to generate collision-free robot paths in narrow warehouse *** algorithm builds a two-stage scheme based on integer programming:(i) multirobot path planning under one-way constraints;and(ii) fast feasibility *** developed algorithm has two advantages:(i) the proposed scheme successfully avoids the situation where the robots collide in narrow lanes;and(ii) by using the fast feasibility heuristics which replaces the integer programming solver's built-in feasibility heuristics,the feasibility heuristics' running time can be effectively reduced while producing better initial feasible solutions for the integer programming model solving *** with the existing optimal,sub-optimal,and polynomial-complexity algorithms,our developed algorithm can leverage the advantage of integer programming to effectively reach a balance between running time and optimality in narrow warehouse *** point is demonstrated in the simulations.

关键词： Path planning Multi-robot or multi-agent systems Collision avoidance Logistics

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Formation and growth of nanophase iron particles on the surface of Mercury revealed by experimental study

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Acta Geochimica 2024年第4期43卷 774-784页

作者： Ronghua Pang Yang Li Chen Li Pengfei Zhang Zhuang Guo Sizhe Zhao Han Yu Li Wang Chenxi Zhu Shuangyu Wang Kairui Tai Qinwei Zhang Yuanyun Wen Rui Li Center for Lunar and Planetary Sciences Institute of GeochemistryChinese Academy of SciencesGuiyangChina University of Chinese Academy of Sciences BeijingChina Center for Excellence in Comparative Planetology Chinese Academy of SciencesHefeiChina Institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijingChina State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacaoChina Faculty of Metallurgical and Energy Engineering Kunming University of Science and TechnologyKunmingChina State Key Laboratory of High Performance Ceramics and Superfi ne Microstructures Shanghai Institute of CeramicsChinese Academy of SciencesShanghaiChina Laboratory for Space Environment and Physical Sciences Harbin Institute of TechnologyHarbinChina Research Center for Planetary Science College of Earth ScienceChengdu University of TechnologyChengduChina Key Laboratory of Planetary Sciences Purple Mountain ObservatoryChinese Academy of SciencesNanjingChina

Space weathering is a primary factor in altering the composition and spectral characteristics of surface materials on airless ***,current research on space weathering focuses mainly on the Moon and certain types of *** particular,the impacts of meteoroids and micrometeoroids,radiation from solar wind/solar flares/cosmic rays,and thermal fatigue due to temperature variations are being *** weathering produces various transformation products such as melted glass,amorphous layers,iron particles,vesicles,and solar wind *** in turn lead to soil maturation,changes in visible and near-infrared reflectance spectra(weakening of characteristic absorption peaks,decreased reflectance,increased near-infrared slope),and alterations in magnetism(related to small iron particles),collectively termed the“lunar model”of space weathering *** to the Moon and asteroids,Mercury has unique spatial environmental characteristics,including more intense meteoroid impacts and solar thermal radiation,as well as a weaker particle radiation environment due to the global distribution of its magnetic ***,the lunar model of space weathering may not apply to *** studies have extensively explored the eff ects of micrometeoroid ***,this work focuses on the eff ects of solar-wind particle radiation in global magnetic-field distribution and on the weathering transformation of surface materials on Mercury under prolonged intense solar *** the utilization of highvalence state,heavy ion implantation,and vacuum heating simulation experiments,this paper primarily investigates the weathering transformation characteristics of the major mineral components such as anorthite,pyroxene,and olivine on Mercury’s surface and compares them to the weathering transformation model of the *** experimental results indicate that ion implantation at room temperature is insufficient to generate np-Fe^(0)directly but

关键词： Mercury Space weathering Np-Fe^(0) Solar thermal radiation Solar wind

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Reinforcement Learning Based Short Time Scale Operation of Wind-Solar-Thermal Coupling Generation system Considering Nonconvex Ramping Constraint 49

Reinforcement Learning Based Short Time Scale Operation of W...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Zou, Yao Wang, Qianggang Gu, Yi Xia, Qinqin Chi, Yuan Chang, Yiming Chongqing University State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing400044 China State Grid Liaoning Electric Power Company Limited Shenyang110000 China

ISBN: (纸本)9798350331820

This paper proposes a reinforcement learning (RL) based short time scale economic operation approach for wind-solar-thermal coupling generation system (WSTCGS) considering the non-convex ramping constraints of thermal power unit (TPU) with deep peak regulation (DPR) capability. The WSTCGS operation is modeled as a Markov decision process (MDP) with an agent controlling the power sources in the WSTCGS. The proposed approach utilizes Soft Actor-Critic (SAC) algorithm to train the RL agent for achieving economic power sources scheduling in WSTCGS. The established RL framework considers the non-convex ladder type ramping constraints of TPUs, short-term forecasts of RES and load to accurately formulate the WSTCGS stochastic economic operation in a short time scale. The simulation results based on a real-world WSTCGS test system demonstrate that the proposed RL framework can effectively schedules TPUs to provides basic load, tracks net load fluctuations, and achieves high RES utilization in short time scale. © 2023 IEEE.

关键词： Reinforcement learning

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The“gene”of reversible phase transformation of phase change materials:Octahedral motif

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Nano Research 2022年第2期15卷 765-772页

作者： Zhitang Song Ruobing Wang Yuan Xue Sannian Song State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Micro-System and Information TechnologyChinese Academy of SciencesShanghai 200050China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

Nonvolatile phase change random access memory(PCRAM)is regarded as one of promising candidates for next-generation memory in the era of Big *** phase transition mechanism of phase change materials is the key scientific issue to be addressed for phase change ***,obtaining homogeneous phase change materials with high speed,low power consumption,long life and good thermal stability is still the ultimate challenge for high-density three-dimensional(3D)*** this paper,starting from the octahedral structure motifs(octahedrons)which are considered as the"gene"of phase change materials,a new view on the phase transition mechanism is *** on this mechanism,a homogeneous phase change material is developed by constructing three matched octahedrons,which achieved an overall improvement in performance,showing 180℃ten-year data retention,6 ns SET speed,one order of magnitude longer life time and 75%reduced power consumption compared with traditional Ge_(2)Sb_(2)Te_(5)(GST)*** is of great significance to use it in 3D PCRAM chip and multi-level brain-inspired computing chip in the future.

关键词： phase change memory phase transition mechanism octahedral atomic motifs matching high density

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Versatile Jumping of Humanoid Robots via Curriculum-Assisted Reinforcement Learning

Versatile Jumping of Humanoid Robots via Curriculum-Assisted...

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Chinese Automation Congress (CAC)

作者： Ruiyu Tan Xueai Li Fenglei Ni Dong Zhou Yi Ji Xiangyu Shao Key Laboratory of Autonomous Intelligent Unmanned Systems Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

Versatile jumping is crucial for agile and adaptive behavior of humanoid robots in complex environments. However, humanoid robots have to manage impact forces while maintaining balance and stability throughout the take-off, flight, and landing phases, which imposes significant challenges for motion planning and controller design. This paper proposes a curriculum-assisted reinforcement learning framework for the humanoid robot to achieve various jumping tasks. The curriculum learning divides the jump training process into multi-stages and design different episodes in each stage to guarantee the training feasibility and generalize learned skills. Simulations on a 28 DOFs humanoid robot verify the excellent diverse jumping capability of the proposed policy. This exploration of different tasks also proves the policy's robustness, allowing the robot quickly recover from perturbations using a variety of learned maneuvers.

关键词： Training Automation Perturbation methods Humanoid robots Reinforcement learning Robustness Stability analysis Planning

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Improved Crow Search Algorithm and XGBoost for Transformer Fault Diagnosis 3

Improved Crow Search Algorithm and XGBoost for Transformer F...

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2023 3rd International Conference on Electrical Engineering and Computer technology, ICEECT 2023

作者： Jiang, Jinyang Liu, Zhi Wang, Pengbo Yang, Fan State Grid Chongqing Electric Power Research Institute Chongqing401123 China State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing400044 China

To enhance the accuracy of transformer fault diagnosis, this study proposes an enhanced transformer fault diagnosis model incorporating the Improved Crow Search Algorithm (ICSA) and XGBoost. The dissolved gas analysis in oil (DGA) technique is employed to extract 9-dimensional fault features of transformers as model inputs, in conjunction with the codeless ratio method for training. The output layer utilizes a gradient boosting-based decision tree addition model to obtain the fault diagnosis type. Furthermore, the Golden Sine Algorithm (GSA) is employed for improvement, and the ICSA's performance is tested by using typical test functions, demonstrating faster convergence and stronger merit-seeking capabilities. The obtained results reveal that the comprehensive diagnostic accuracy of the proposed model reaches 94.4056%, marking an improvement of 8.3916%, 6.2937%, 4.1958%, and 2.0979% compared to the original base XGBoost, PSO-XGBoost, GWO-XGBoost, and CSA-XGBoost fault diagnosis models, respectively. These findings validate the effectiveness of the proposed method in enhancing the fault diagnosis performance of transformers. © Published under licence by IOP Publishing Ltd.

关键词： Failure analysis

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A Real-Time Hardware-Accelerator-Aided MJ-EKF SLAM Algorithm for Large-Scale Map Based on Heterogeneous Multi-Core SoC

A Real-Time Hardware-Accelerator-Aided MJ-EKF SLAM Algorithm...

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Annual Conference of Industrial Electronics Society

作者： Zhendong Fan Ke Wang Minjie Bao Ruifeng Li State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

As a classic SLAM algorithm, LIDAR-based EKF SLAM still remains a problem. An open issue is high computational complexity, which leading a very limited map size to sufficient real-time requirements. To address this problem, in this paper, we propose an MJ-EKF SLAM system that is fully implemented on a Heterogeneous Multi-Core SoC(HMS). To limit the EKF SLAM computation complexity, the Map Joining algorithm participates in the framework. The most computation cost step in EKF SLAM and Map Joining algorithms is implemented on an MJ-EKF dedicated accelerator. Meanwhile, several hardware optimization methods are proposed to save logic resources, avoid redundant computation and reduce data communication between on-chip memory and off-chip main memory. Field experiments demonstrate the HMS-based MJ-EKF algorithm achieved high real-time performance (over 30Hz) in a large-scale map with 500 landmarks.

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Motion Planning of Mobile Robot with Non-holonomic Constraints 18

Motion Planning of Mobile Robot with Non-holonomic Constrain...

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18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Zhang, Kewen Liu, Weilong Wang, Jin Chen, Leijie Lu, Guodong Zhejiang University of Technology Key Laboratory of Special Purpose Equipment and Advanced Processing Technology Ministry of Education College of Mechanical Engineering Hangzhou310023 China Robotics Institute of Zhejiang University Hangzhou310027 China Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Hangzhou310027 China Robotics Research Center of Yuyao City Ningbo315400 China

ISBN: (纸本)9798350312201

This paper proposes a modified spatio-temporal A∗ path planning algorithm for the trajectory planning of mobile robots with non-holonomic constraints. Most path planning algorithms treat mobile robots as to be with holonomic constraints. However, wheeled mobile robots are affected by non-holonomic constraints, which leads to trajectory unreachability. To solve this problem, an improved spatio-temporal A∗ algorithm based on non-holonomic constraints is given, which considers the efficiency, completeness and smoothness of the path. At the same time, by improving the construction form of collision constraint and adding spatio-temporal constraints to the path, the success rate and solving speed of the path planning algorithm for non-holonomic constrained mobile robot are increased. Finally, simulation experiments are given to indicate that the proposed planning algorithm provides an optimized path, while improving the planning success rate and reducing the computational time. © 2023 IEEE.

关键词： Motion planning

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Characterizing the Bending Response of Forward Stimulated Brillouin Scattering in Photonic Crystal Fiber

Characterizing the Bending Response of Forward Stimulated Br...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Zou, Xuan Wei, Weilun Chen, Shuyan Zhao, Zhiyong Yang, Chen Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of Optical Fiber and Cable Manufacture Technology Yangtze Optical Fibre and Cable Joint Stock Limited Company Optics Valley Laboratory Wuhan430074 China

We characterize the bending response of forward stimulated Brillouin scattering (FSBS) in photonic crystal fiber (PCF). Thanks to the unique air-core geometry, high curvature sensitivity (-1.7790 MHz/cm) and high stab... 详细信息

ISBN: (纸本)9781957171395

关键词： Stimulated Brillouin scattering

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