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Multi-stage Robust Implicit Decision Rule for Optimal Control Problem of Energy Storage system 20

Multi-stage Robust Implicit Decision Rule for Optimal Contro...

引用

IEEE 20th International conference on Automation Science and Engineering (CASE)

作者： Zhao, Jiexing Zhai, Qiaozhu Zhou, Yuzhou Cao, Xiaoyu Hu, Jianchen Xue, Fei Li, Xutao Xi An Jiao Tong Univ Sch Automat Sci & Engn Xian 710049 Peoples R China Xi An Jiao Tong Univ MOEKLINNS Lab Xian 710049 Peoples R China Ningxia Elect Power Res Inst Yinchuan 750000 Ningxia Peoples R China

ISBN: (纸本)9798350358513;9798350358520

the optimal control problem including random variables is difficult to solve. Existing methods typically rely on defining explicit decision functions to make the problem tractable. However, in practical numerical testing, we observed that some strongly coupled constraints, such as energy storage level limits, will impose strict restrictions on these simplified decision functions, potentially leading to significantly suboptimal solutions. Motivated by these challenges, this paper proposes a multi-stage robust implicit decision rule for the scheduling problem of energy storage systems. the main idea is to find an explicitly feasible decision function space to guarantee the multi-stage operating feasibility. When random variables are observed, decisions are adaptively optimized within the feasible decision space by solving a straightforward mathematical programming. Explicit decision functions are not required, ultimately enhancing the feasibility and optimality of the stochastic optimization for energy storage systems. Numerical tests are implemented on a real-world microgrid, verifying the effectiveness of the proposed method.

关键词： Stochastic systems

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A large-scale charging approach for electric vehicles considering multi-station collaboration and task optimization 20

A large-scale charging approach for electric vehicles consid...

引用

IEEE 20th International conference on Automation Science and Engineering (CASE)

作者： Mao, Richard Su, Ziru Zhao, Zexu Li, Defu Xi An Jiao Tong Univ Inst Syst Res Xian 710049 Peoples R China Xi An Jiao Tong Univ Inst Mat Sci & Engn Xian 710049 Peoples R China

ISBN: (纸本)9798350358513;9798350358520

the electric vehicle (EV) industry is experiencing rapid growth due to the increasing global awareness of environmental protection and the supportive government policies. However, the stochastic nature of EV charging behavior presents a challenge in the form of peak load surges on the power grid, which significantly impact the grid system's stability. this study aims to optimize the mass charging process of EVs to reduce overall costs and enhance user convenience. To address this objective, we first establish a comprehensive model for large-scale sequential charging within a single charging station. this model enables efficient and coordinated charging of a large number of EVs. Additionally, we develop a hybrid prediction model capable of accurately forecasting future charging loads at charging stations using rolling prediction techniques. Subsequently, we propose the LRDSAC algorithm, which integrates the LLF-LD rule and discrete SAC. this algorithm takes into account both prediction information and environmental factors, and establishes a cloud-centered charging station recommendation model as well as a charging task optimization model for each charging station. By considering multi-station collaboration and scheme recommendation, our approach achieves large-scale EV charging optimization. the research results demonstrate that the implementation of the LRDSAC algorithm effectively eliminates temporal coupling between charging tasks, significantly reducing computational complexity. It enables charging station recommendations and optimized charging scheduling. By optimizing the charging end time, user fees can be reduced, charging station revenues can be increased, and the peak load on the grid can be decreased without compromising the charging volume. To validate our approach, we conducted a simulation analysis based on actual data from Shanghai. the results confirm the effectiveness of the proposed method in achieving the desired objectives outlined in this study.

关键词： Charging stations

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modeling and Measurement of Bearing Voltage in Traction Motor for High Speed Train 19

Modeling and Measurement of Bearing Voltage in Traction Moto...

引用

20th IEEE Vehicle Power and Propulsion conference (IEEE VPPC)

作者： Li, Zhihao Liu, Ruifang Zhang, Liangliang Li, Weili Beijing Jiaotong Univ Sch Elect Engn Beijing Peoples R China Jing Jin Elect Technol Co Ltd Beijing Peoples R China

ISBN: (纸本)9798350344455

the modeling and measurement of bearing voltage in traction motor is helpful to evaluate the potential electrical corrosion risk and the effectiveness of suppression measures. this paper presents a method of modeling and simulation of bearing voltage in traction motor considering multi-system coupling. Firstly, the generation mechanism and influencing factors of bearing voltage are analyzed. then, a train multi-system coupling model construction method considering the key factors is proposed. Taking CRH380B as an example, the system simulation model was constructed, and the event-driven simulation method was adopted to reduce the simulation time. Finally, the accuracy of the model is verified according to the actual line measurement results of the bearing voltage of the high speed train.

关键词： high-speed train traction motor bearing voltage system modeling

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Shared Subnet Synthesis of Object-Oriented Petri Net Based Representation for Embedded systems 20th

Shared Subnet Synthesis of Object-Oriented Petri Net Based R...

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20th International conference on Intelligent Computing (ICIC)

作者： Xia, Chuanliang Zan, Yuhao Shandong Jianzhu Univ Sch Comp Sci & Technol Jinan 250101 Peoples R China

ISBN: (纸本)9789819756742;9789819756759

Embedded systems have been widely used in various fields, such as smart cities, automotive electronics, and 5G chips, etc. In order to solve the modeling problem of embedded systems, a solution is obtained using an extended Petri net synthesis operation. For the object-oriented Petri net based representation for embedded systems (OOPRES+), a kind of shared object subnet synthesis operation method is proposed. the preservation of liveness and boundedness of the synthesis net system has been investigated to alleviate the problem of state space explosion of OOPRES+. the modeling and analysis of an intelligent transportation system illustrates the effectiveness of the synthesis method. Results obtained provide a favorable means for the modeling of the large-scale complex embedded systems.

关键词： Petri Nets Synthesis Liveness Boundedness Embedded system modeling

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Fine-Tuning Large-Scale Project Scheduling 20th

Fine-Tuning Large-Scale Project Scheduling

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20th European, Mediterranean, and Middle Eastern conference (EMCIS)

作者： Sklias, George Gkelios, Socratis Dimitriou, Dimitrios Democritus Univ Thrace Dept Econ Komotini Greece Democritus Univ Thrace Dept Elect & Comp Engn Komotini Greece Neapolis Univ Pafos Intelligent Syst Lab Paphos Cyprus

ISBN: (纸本)9783031564772;9783031564789

this paper explores the integration of artificial intelligence (AI) into project management, proposing a decision support system that optimizes project timelines and resources. the pilot study focuses on the Port of Agios Konstantinos in Greece. the methodology section introduces dual annealing as a stochastic optimization method and explains the use of a customizable cost function with overlap calculation to prioritize project aspects. An objective function is defined to maximize task alignment with optimal scheduling periods. the experimental results section presents three optimization cases, adjusting schedules for critical tasks in the pilot project based on different weightings of budget and weather considerations.

关键词： Artificial Intelligence in Project Management Decision Support systems Resource Allocation optimization

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Next-Best-View Selection for Robot Eye-in-Hand Calibration 20

Next-Best-View Selection for Robot Eye-in-Hand Calibration

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20th conference on Robots and Vision (CRV)

作者： Yang, Jun Rebello, Jason Waslander, Steven L. Univ Toronto Inst Aerosp Studies Toronto ON Canada Univ Toronto Robot Inst Toronto ON Canada

ISBN: (纸本)9798350341393

Robotic eye-in-hand calibration is the task of determining the rigid 6-DoF pose of the camera with respect to the robot end-effector frame. In this paper, we formulate this task as a non-linear optimization problem and introduce an active vision approach to strategically select the robot pose for maximizing calibration accuracy. Specifically, given an initial collection of measurement sets, our system first computes the calibration parameters and estimates the parameter uncertainties. We then predict the next robot pose from which to collect the next measurement that brings about the maximum information gain (uncertainty reduction) in the calibration parameters. We test our approach on a simulated dataset and validate the results on a real 6-axis robot manipulator. the results demonstrate that our approach can achieve accurate calibrations using many fewer viewpoints than other commonly used baseline calibration methods.

关键词： Hand-eye calibration active vision next-best-view non-linear optimization

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optimization Method for Distributed Cold Station Planning of New Energy systems Based on Equipment Characteristics 8

Optimization Method for Distributed Cold Station Planning of...

引用

8th International conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024

作者： Huang, Zhiwei Wang, Daoling Jiang, Hongxing Pan, Jirong You, Yong Shenzhen Gas Corporation Ltd. Shenzhen China Shenzhen Shenran Clean Energy Co. Ltd Shenzhen China

ISBN: (纸本)9798331506230

With the increasing depletion of traditional energy sources, developing clean and renewable new energy has become the only way out for sustainable human development. At the policy level in China, the 20th National Congress of the Communist Party of China proposed the goal of actively and steadily promoting carbon peak and carbon neutrality. this requires based on the endowment of energy resources, adhering to the principle of first establishing and then breaking, and implementing the carbon peak action in a planned and step-bystep manner. In the face of this situation, the research and application of new energy systems are particularly important. Planning is the most direct basis for developing and constructing new energy systems. Currently, research on distributed energy planning for regional new energy systems is not yet complete, and there is a lack of planning optimization strategies based on regional equipment characteristics. this study proposes a regional level planning optimization method from the perspective of distributed energy systems, which is beneficial for extending the vertical system of energy planning. In combination with the background of energy Internet, it has realized the innovation and supplement on the planning system and method of distributed cooling stations of regional new energy system. © 2024 IEEE.

关键词： Distributed energy

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Proceedings - IEEE 20th International conference on Software Architecture, ICSA 2023

Proceedings - IEEE 20th International Conference on Software...

引用

20th IEEE International conference on Software Architecture, ICSA 2023

ISBN: (纸本)9798350397499

the proceedings contain 16 papers. the topics discussed include: feature-based software architecture analysis to identify safety and security interactions;a pattern-oriented reference architecture for governance-driven blockchain systems;performance modeling and analysis of design patterns for microservice systems;from monolithic to microservice architecture: an automated approach based on graph clustering and combinatorial optimization;quality metrics in software architecture;standardization in digital twin architectures in manufacturing;access control enforcement architectures for dynamic manufacturing systems;where and what do software architects blog? : an exploratory study on architectural knowledge in blogs, and their relevance to design steps;detecting inconsistencies in software architecture documentation using traceability link recovery;and architecting digital twins using a domain-driven design-based approach.

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Power Allocation and User Pairing Based Beam Reuse in a NOMA system 20

Power Allocation and User Pairing Based Beam Reuse in a NOMA...

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20th IEEE International Wireless Communications and Mobile Computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Ni, Xuenan Zhao, Jianing Xia, Xinping Zhartgl, Xiaoying Zhou, Jianyi Yang, Weikang Southeast Univ Natl Mobile Commun Res Lab Nanjing Peoples R China Southeast Univ State Key Lab Millimeter Waves Nanjing Peoples R China Purple Mt Labs Nanjing Peoples R China

ISBN: (纸本)9798350361261;9798350361278

In this paper, the non-orthogonal multiple access (NOMA) principle is applied to reuse existing beams to serve additional far users, in the premise of a multi-antenna BS has designed the precoding for near users in an existing space division multiple access (SDMA) network. Specifically, the same beam serves three users, including the existing near user and two far users to be selected. In order to maximize the sum capacity of far users while ensuring the near user's rate requirements, a power allocation optimization problem is formulated and successfully solved by applying the branch-and-bound (BB) algorithm. Furthermore, for the far users pairing, three user pairing strategies: random user pairing (RP), most distinctive user pairing (MDP), and top two user pairing (TTP), are adopted. the results show that the same beam can serve two additional far users, which is more suitable in scenarios where the number of BS antennas is not significantly large. Additionally, the TTP strategy proves to be more advantageous in this scenario.

关键词： non-orthogonal multiple access power allocation user pairing branch-and bound algorithm

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Estimation of Power system Harmonics Using Least Square Based Arithmetic optimization Algorithm 20

Estimation of Power System Harmonics Using Least Square Base...

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20th International Bhurban conference on Applied Sciences and Technology (IBCAST)

作者： Asghar, Aftab Ashraf, Muhammad Mansoor Univ Engn & Technol Taxila Elect Engn Dept Rawalpindi Punjab Pakistan

ISBN: (纸本)9798350308266;9798350308259

Harmonic distortion stands out as a significant power quality issue in contemporary power systems that experience extensive utilization of renewable energy sources. this concern has garnered increased focus in recent years due to the growing integration of power electronic devices and nonlinear loads within the power systems. For electric utilities and users, accurate estimation of harmonic-parameters is an important reference to evaluate power quality. the detrimental impacts of harmonics components on power systems can be effectively mitigated by Active Filters (AFs). the performance of AFs heavily relies on the development of robust and accurate estimator, which plays a vital role in supplying the necessary reference harmonic values. this paper presents a Least Square based Arithmetic optimization Algorithm (LS-AOA) to solve the harmonics estimation problem. the AOA leverages the distribution characteristic of main arithmetic operators, such as division, subtraction, multiplication and addition in mathematics. AOA is mathematically formulated and implemented to efficiently optimize search processes across diverse ranges. the proposed LS-AOA framework is tested and validated on benchmark test signals with different noise levels and on practically measured voltage waveform of AFPMG. the experimental results demonstrated that the proposed harmonic estimator provides more accurate estimations with significantly lower computational time compared to existing techniques proposed in literature.

关键词： Harmonic Estimation Power Quality Arithmetic optimization Algorithm Harmonic Extraction

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