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5th International Conference on Power and Energy Technology, ICPET 2023

作者： Chen, Kaiwen Wang, Qingyi Kang, Kai Wang, Hao School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China PowerChina Hubei Electric Engineering Co. Ltd Wuhan China Wuhan Second Ship Design and Research Institute Wuhan China

ISBN: (纸本)9798350339673

Based on the background of photovoltaic development in the whole county and the demand for energy storage on the user-side, this paper establishes an economic evaluation model of user-side photovoltaic energy storage system considering shared energy storage. Firstly, three schemes of no energy storage, independent energy storage and shared energy storage are proposed, and the influence of photovoltaic energy storage system loss on annual power generation is considered. Secondly, based on the whole life cycle theory, the cost and benefit model of the user-side photovoltaic energy storage system is established, and the unit electricity cost of the user is used as the evaluation index. Finally, the relevant data of user in Hubei area are analyzed as an example to verify the effectiveness of the model and provide reference for the investment of related projects. © 2023 IEEE.

关键词： photovoltaic energy storage system shared energy storage the unit electricity cost of the user user-side

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Optimal Portfolio of Wind-solar-hydro Hybrid Renewable Generation based on Variable Speed Pumped Storage 6

Optimal Portfolio of Wind-solar-hydro Hybrid Renewable Gener...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Xiang, Shizhe Xu, Da Gao, Menglu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Dc Company of State Grid Hubei Electric Power Co. Ltd. Yichang443000 China

ISBN: (纸本)9798350346671

Compared with separate solar or wind generation, the hybrid wind-solar-hydro renewable portfolio can achieve better generation characteristics due to their temporal-spatial complementarities. This paper proposes optimal portfolio of wind-solar-hydro hybrid renewable generation based on variable speed pumped storage (VSPS). In this portfolio, the complementarities of hydro-solar-wind hybrid renewable energy sources (RESs) are fully exploited via various conversion and storage devices for zero carbon 100% renewable supplies. Compared to traditional fixed speed pumped storage (FSPS), the VSPS has obvious advantages in power regulation and renewable accommodation, which is comprehensively modeled to capture its dynamic operational dispatchability and flexibility. The portfolio production, conversion, storage, and consumption are formulated via a two-stage framework, which takes the minimum system investment cost as the objective function. Case studies on southwest China are performed to show the effectiveness and superiority of the proposed methodology on cost-effective accommodation. © 2023 IEEE.

关键词： Cost effectiveness

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Physical generation of random numbers using an asymmetrical Boolean network

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Chinese Physics B 2021年第11期30卷 297-303页

作者： Hai-Fang Liu Yun-Cai Wang Lu-Xiao Sang Jian-Guo Zhang Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China College of Physics and Optoelectronics Taiyuan University of TechnologyTaiyuan 030024China Guangdong Provincial Key Laboratory of Photonics Information Technology Guangzhou 510006China School of Information Engineering Guangdong University of TechnologyGuangzhou 510006China

Autonomous Boolean networks(ABNs)have been successfully applied to the generation of random number due to their complex nonlinear dynamics and convenient on-chip *** of the ABNs used for random number generators show a symmetric topology,despite their oscillations dependent on the inconsistency of time delays along *** address this issue,we suggest an asymmetrical autonomous Boolean network(aABN)and show numerically that it provides large amplitude oscillations by using equal time delays along links and the same logical *** results show that the chaotic features of aABN are comparable to those of symmetric ABNs despite their being made of fewer ***,we put forward a random number generator based on aABN and show that it generates the random numbers passing the NIST test suite at 100 Mbits/*** unpredictability of the random numbers is analyzed by restarting the random number generator *** aABN may replace symmetrical ABNs in many applications using fewer nodes and,in turn,reducing power consumption.

关键词： autonomous Boolean networks random numbers chaos unpredictability

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Short-Term Load Prediction of EV Charging Station Based on LSTM Recursion

Short-Term Load Prediction of EV Charging Station Based on L...

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Power Science and Technology (ICPST), IEEE International Conference on

作者： Ziyu Xu Kuan Cao Yutian Liu Chunyi Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Development Planning Department State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

With the rapidly increasing market share of electric vehicles (EV) in recent years, the randomness and uncertainty of EV charging load have posed challenges to the operation of distribution networks. To improve accuracy in load prediction of EV charging station, a short-term load prediction method based on the long short-term memory (LSTM) recursive neural network is proposed in the paper. First, the Canopy-based K-means clustering algorithm is improved to divide the similarly daily load sets of EV charging station. Then, the characteristic information of load days, such as meteorological data, is processed to obtain the typical feature vector of each load set. Next, the bidirectional long short-term memory (BiLSTM) models corresponding to each load set are trained based on the sliding window principle and phase space reconstruction. By calculating the Euclidean distance of the feature vectors between the predicted day and each load set, the most suitable pre-trained BiLSTM model is selected to predict the charging station load. Finally, simulation results demonstrate that the proposed method can effectively improve the load prediction accuracy.

关键词： Recurrent neural networks Accuracy Uncertainty Simulation Predictive models Feature extraction Electric vehicle charging

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Optimal Siting and Sizing of Energy Storage Power Station Considering Peak Regulation Adequacy 7

Optimal Siting and Sizing of Energy Storage Power Station Co...

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7th IEEE International Conference on Power and Renewable Energy, ICPRE 2022

作者： Wang, Chunyi Zhang, Lei Zhang, Kai Song, Sijin Liu, Yutian State Grid Shandong Electric Power Company Jinan China State Grid Heze Power Supply Company Heze China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (数字)9781665450638

ISBN: (纸本)9781665450638

With the rapid development of wind power and photovoltaic power generation, the lack of flexibility in peak regulation further affects the new energy consumption. In order to alleviate the peak regulation pressure of thermal power units, a comprehensive evaluation index of peak regulation adequacy and an energy storage power station planning method of high-voltage distribution system are proposed in this paper. The development margin of new energy and the growth of load during the planning period are taken into account. Both the economics of energy storage peak regulation and the adequacy of source-storage coordinated peak regulation are considered. The effectiveness of the proposed optimal method for energy storage power station siting and sizing has been verified in the modified IEEE 30-bus power system. © 2022 IEEE.

关键词： Energy utilization

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Optimal Carbon Capture, Utilization and Storage Planning for Multi-Energy system 42

Optimal Carbon Capture, Utilization and Storage Planning for...

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42nd Chinese control Conference, CCC 2023

作者： Hu, Aoyu Xu, Da Gao, Menglu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Dc Company of State Grid Hubei Electric Power Co. Ltd. Yichang443000 China

ISBN: (纸本)9789887581543

In response to the national dual carbon policy, carbon capture, utilization and storage (CCUS) are currently attracting much attention. This paper proposes optimal CCUS planning for multi-energy system. In this multi-energy system, transmission network and natural gas network are coupled via conversion and storage devices in the energy hubs. The CCUS planning is formulated based on a source-sink matching method to analyze the CO2 capture points, CO2 storage points and CO2 transportation routes. Furthermore, the original CCUS planning problem is reformulated as a mixed integer second order cone programming (MISOCP) and subsequently solved to guarantee a satisfactory convergence performance. Numerical studies on an urban multi-energy system are implemented to verify the effectiveness and superiority of the proposed methodology over conventional scheme. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Carbon capture

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Robust Black Start Strategy with a High Share of Renewable Energy Generation

Robust Black Start Strategy with a High Share of Renewable E...

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

作者： Xuemei Fan Hongtao Wang Yong Li Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

Renewable energy generation is expected to participate in black start in case of blackout events, as they can significantly speed up power system restoration. This paper proposes a startup strategy aiming to improve the black start robustness against uncertainties introduced by wind or photovoltaic power plants. The strategy is composed of a short-term emulation model and a long-term ordered participation model. The short-term model concerns the transient state frequency and voltage stability under black start disturbances. It emulates the regulating capability of the power plants so as to determine if they can withstand the black start events. The long-term model deals with the steady state power and energy balance during black start units ramping. It takes into consideration the uncertainty of wind and photovoltaic power and calculates the confidence power output interval, and thereby prevents generation shortage caused by renewable power fluctuations. Based on the proposed strategy, an ordered participation algorithm is presented for online decision making of black start schemes, which are validated using a practical regional power system based study case. The results show that the proposed method can improve system robustness and stability for black start with wind and photovoltaic power.

关键词： Photovoltaic systems Wind energy generation Renewable energy sources Uncertainty Power system stability Wind power generation Stability analysis

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A Joint Planning of DG and Distribution Network Considering Network Loss Based on MIQCP

A Joint Planning of DG and Distribution Network Considering ...

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2021 IEEE International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2021

作者： Lian, Xiaoyang Wang, Mingqiang Liu, Shuai Hu, Yuxi Zhang, Qiang Ministry of Education Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China Shandong Electric Company Jinan China

ISBN: (纸本)9781665441285

Network loss is a considerable factor in power system operation but usually ignored during planning stage due to the computation efficiency problem. This paper proposes a MIQCP-based distribution network planning model considering network loss. The proposed model minimizes the total cost including investment cost and operating cost and optimizes the capacity of distributed generation (DG) and line capacity simultaneously. Then, the planning model is recast into a mixed integer quadratically constrained programming problem by simplifying active and reactive power flow. and further the network loss is solved. Finally, to validate its efficiency and superiority, the proposed distribution network planning model is tested on the IEEE 33-bus distribution system. © 2021 IEEE.

关键词： Distributed power generation

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Design of a Novel Autonomous Docking system With a Supporting Robotic Fish

Design of a Novel Autonomous Docking System With a Supportin...

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IEEE International Conference on Real-time Computing and Robotics (RCAR)

作者： Huijie Dong Chunyang Zhao Tiezhu Qiao Jian Wang Di Chen Yan Meng Junzhi Yu Ministry of Education Key Laboratory of Advanced Transducers and Intelligent Control System Taiyuan University of Technology Taiyuan China Institute of Automation Laboratory of Cognitive and Decision Intelligence for Complex System Chinese Academy of Sciences Beijing China Department of Advanced Manufacturing and Robotics College of Engineering State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China College of Electronics and Information Engineering Guangdong Ocean University Zhanjiang China

Underwater supporting robots serving as a relay of energy supplements and communication for other underwater equipment are promising for ocean exploration, development, and protection. This paper proposes a novel autonomous docking system centered on a designed supporting robotic fish named ‘CourierFish’. Specifically, CourierFish is capable of docking with a surface dock station for supplying itself and docking with a seafloor platform for supporting equipment in the platform. A visual navigation scheme integrating LED and ArUco markers is presented for accurate localization. The control approach for docking motion is also illustrated. Simulations and aquatic experiments are performed to verify the feasibility of the proposed docking system. The obtained results lay a solid foundation for the construction of various underwater equipment and robot networks.

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A Transfer-Based decision-Making Method with Criterion Weight and Reliability Transfer

SSRN

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SSRN 2023年

作者： Jia, Xuefei Chang, Wenjun Liao, Baoyu School of Management Hefei University of Technology Hefei Box 270 Anhui Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Anhui Hefei230009 China Ministry of Education Engineering Research Center for Intelligent Decision-Making & Information System Technologies Hefei230009 China

The accumulated historical data not only brings benefits to social life, but also increases the complexity of decision-making. Data-driven multi-criteria decision-making (D2MCDM) can extract parameter information from historical data to help decision-makers generate acceptable and satisfactory decision solutions. When little historical data in one domain is available, the extracted parameter information may be inaccurate or inconsistency. To deal with this issue, the parameter-based transfer learning is considered to integrate into D2MCDM. The domain with little historical data is called the target domain (TD). One related domain with sufficient data is found, which is called the SD (SD). The sufficient data in the SD can help extract accurate parameter information of the TD. This paper proposes a transfer-based decision-making (TBDM) method with criterion weight and reliability transfer based on the Tri-training algorithm. The Tri-training algorithm is used to construct a data selection stage for the SD, which improves the data similarity between the SD and TD. The data-driven decision-making models are then constructed to learn criterion weights and reliabilities. The proposed TBDM method not only deals with the problem of insufficient data for decision model training, but also improves the acceptability of decision solutions to decision-makers. A case study of the diagnosis of breast lesions is analyzed to demonstrate the advantages of the TBDM method. The UCI datasets are used to conduct the comparative experiments to further validate the advantages of the TBDM method. © 2023, The Authors. All rights reserved.

关键词： Reliability

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