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Joint task management in connected vehicle networks by software-defined networking, computing and caching 3

Joint task management in connected vehicle networks by softw...

引用

3rd Annual International conference on network and Information Systems for Computers, ICNISC 2017

作者： He, Yu Si, Peng-Bo Sun, En-Chang Zhang, Yan-Hua Liu, Shuo Beijing Advanced Innovation Center for Future Internet Technology College of Electronic Information and Control Engineering Beijing University of Technology Beijing100124 China

ISBN: (纸本)9781538616185

As the rapid development of mobile communication technologies and the on-road information and entertainment demands, a growing number of vehicles equipped with communication, computing, caching and positioning devices will enable a huge network of connect vehicles, or vehicular network, with advanced capabilities to deliver not only the packets for the vehicle networks themselves, but also delay-tolerant data to increase the utilization efficiency of the vehicular network resource. In this paper, we introduce the concept of software-defined networking, computing and caching into vehicular networks to manage the delay-tolerant data deliver tasks from the Internet. We formulate this task management as an optimization problem and solve it by exploiting the optimal actions. Extensive simulation results are also presented to demonstrate the significant performance improvement of the proposed management. © 2019 IEEE.

关键词： Software defined networking

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Model for controlling Risk optimization Using Energy Storage and Distributed Renewable Energy 3

Model for Controlling Risk Optimization Using Energy Storage...

引用

3rd IEEE conference on Energy Internet and Energy System Integration, EI2 2019

作者： Hu, Yingying Liu, Shuting Wang, Peng Sun, Ning Wang, Dong Wei, Tingyun Yang, Zhi Qing, Hong Wu, Yuting Institute of Shanxi Electrical Power Company of SGCC Economic and Electrical Research Taiyuan China Company Taiyuan Power Supply Bureau State Grid Shanxi Electric Power Taiyuan China State Grid Shanxi Electric Power Company Lvliang Power Supply Company Lvliang China Qinghai Power Company Xining China Shanxi Coal Group Coal Industry Management Co. Ltd. Taiyuan China State Grid Shanxi Province Power Supply Company Linyi County Power Supply Company Yuncheng China

ISBN: (纸本)9781728131375

With the gradual establishment of the monthly bidding market, the spot market and the auxiliary service market, China's power retail industry has shown a rapid development trend, but there are big differences in the risk factors of different types of power sales companies. The risk management of power sales companies is a research point with important practical significance. This paper builds a power-selling company to bundle the electricity demand of power users, and considers the power-supply system purchase model of energy storage system and distributed renewable energy optimization to reduce the overall deviation of power and assessment costs, and increase total profit. The economic loss is affected by the control deviation assessment policy and the load forecast deviation risk. © 2019 IEEE.

关键词： Risk management

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Overall optimization and Design of Combined Cooling Heating and Power System 3

Overall Optimization and Design of Combined Cooling Heating ...

引用

3rd IEEE conference on Energy Internet and Energy System Integration, EI2 2019

作者： Li, Jingyun Zhou, Jie Yang, Rui University of Chinese Academy of Sciences Xinjiang Tianfu Energy Company School of Economics and Management Shihezi China Shihezi University Xinjiang Tianfu Energy Company College of Information Science and Technology Shihezi China Shihezi University College of Information Science and Technology Shihezi China

ISBN: (纸本)9781728131375

Today, global energy shortages and environmental pollution are getting worse. The global energy conservation and emission reduction situation is extremely severe, the combined cooling, heating and power (CCHP) system not only improves primary energy utilization, but also has great economic benefits. Therefore, it is considered to be an important trend in the development of future energy technologies. However, CCHP has significant features such as complex structure, varied working conditions, diverse modes, and mixed disturbances. There are many serious challenges to its optimal control. In response to this problem, this paper presents a collaborative optimization model for maximizing primary energy utilization and minimizing energy costs for CCHP systems. The discrete immune parallel evolutionary algorithm (DIPEA) was introduced to solve the optimal equipment selection and optimal operating parameters by establishing MATLAB simulation platform. And the optimization results of discrete immune parallel evolutionary algorithm (DIPEA) are compared with the optimization results of ant colony optimization (ACO) and genetic algorithm (GA). As simulation experiments show the DIPEA optimized CCHP system has higher primary energy utilization rate and greater economic benefits. © 2019 IEEE.

关键词： Genetic algorithms

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Fault Modeling and Characteristic Analysis of Offshore Wind Turbines with Doubly Fed Induction Generator 3

Fault Modeling and Characteristic Analysis of Offshore Wind ...

引用

3rd IEEE conference on Energy Internet and Energy System Integration, EI2 2019

作者： Zhang, Liao Wang, Xiaohui Li, Wenfang Wei, Juan Yu, Hao Zhang, Zijie Gong, Xianfu Lin, Yong Li, Canbing Hunan University Key Lab. of Intelligent Info. Anal. and Compreh. Optimization of Energy Internet in Hunan Province Changsha China Huaxiang Xiangneng Electric Co. Ltd Yiyang China Power Grid Planning Research Center Guangdong Power Grid Development Research Institute Co. Ltd. Guangdong Power Grid Co. Ltd Guangzhou China

ISBN: (纸本)9781728131375

In this paper, the power systems computer aided design (PSCAD) model of offshore wind turbines with doubly fed induction generator (DFIG) is completed, and the fault ride-through characteristics of DFIG for wind turbine during grid fault are analyzed. A method of changing the reactive current compensation of the grid-side converter control strategy is proposed. The detailed DFIG for wind turbine and its fault ride-through model were built in the PSCAD/EMTDC, an electromagnetic transient simulation software. The simulation results prove the correctness of the model and the effectiveness of the proposed reactive current compensation method. © 2019 IEEE.

关键词： Electromagnetic simulation

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Optimal Power-Gas Flow of Integrated Electricity and Natural Gas System: A Sequential MISOCP Approach 3

Optimal Power-Gas Flow of Integrated Electricity and Natural...

引用

3rd IEEE conference on Energy Internet and Energy System Integration, EI2 2019

作者： Sayed, Ahmed R. Wang, Cheng Bi, Tianshu Abdelbaky, Mohamed Abdelkarim Masood, Arsalan North China Electric Power University Electrical and Electronic Engineering Beijing102206 China North China Electric Power University Control and Computer Engineering Beijing102206 China

ISBN: (纸本)9781728131375

Due to their environmental and economic benefits, interdependencies between power and gas systems have been enhanced. However, they provide new challenges in the optimal power-gas flow (OPGF) problem, especially at distribution-level. This paper proposes a sequential mixed-integer second-order cone programming (S-MISOCP) algorithm to define the OPGF for integrated electricity and gas system. The nonconvex power flow and gas flow equations are decomposed as difference-of-convex functions which are reformulated as MISOCP constraints. Starting with an initial point, a sequence of penalized MISOCP problems are solved to find a feasible OPGF close to, if not equal to, the optimal one. The feasibility and quick convergence are guaranteed by designing an adaptive penalty growth rate and suggesting a high-quality initial point, respectively. Moreover, bidirectional gas flow inside pipelines is considered to incorporate meshed gas networks. Numerical simulations have been conducted to validate the algorithm performance. © 2019 IEEE.

关键词： Convex optimization

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DC Power Supply control System Based on Hybrid Energy Storage 3

DC Power Supply Control System Based on Hybrid Energy Storag...

引用

3rd IEEE conference on Energy Internet and Energy System Integration, EI2 2019

作者： Yang, Haiyan Zhao, Xinxin Zhou, Wenzhao Hu, Rongzhaohui Chen, Yanyu Changsha University of Science and Technology School of Electrical and Information Engineering Changsha China

ISBN: (纸本)9781728131375

In the paper, in order to solve the problem that the response speed of DC power supply of lead-acid batteries for high-frequency devices is slow. Based on a thorough study of the structure and operation mechanism of DC operating power supply, this paper proposes a new hybrid storage power supply system composed of lithium batteries and super-capacitors instead of lead-acid batteries. The advantages of hybrid storage technology applied in DC operating power supply system are introduced in details. At the same time, the energy optimization management of new DC operating power supply is also discussed. The dynamic power sharing between lithium batteries and super-capacitors is realized. At the same time, the dynamic power limitation method of lithium batteries based on Super-capacitor SOC is adopted to dynamically limit the charging and discharging power of batteries and improve the life of batteries. At the last, the superior performance of the proposed new DC operating power supply is verified by simulation. © 2019 IEEE.

关键词： Lead acid batteries

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A Review on Virtual Power Plants Interactive Resource Characteristics and Scheduling optimization 3

A Review on Virtual Power Plants Interactive Resource Charac...

引用

3rd IEEE conference on Energy Internet and Energy System Integration, EI2 2019

作者： Cheng, Lin Zhou, Xuyan Yun, Qiuchen Tian, Liting Wang, Xuanyuan Liu, Zhen Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Beijing China Beijing Jiaotong University Center of Electrical Laboratories and National Teching Center of Electrotechnics and Electronics Beijing China State Grid Jibei Electric Power Company Jibei Electric Power Company Power Exchange Center Beijing China State Grid Jibei Electric Power Company North China Electric Power Research Institute Beijing China

ISBN: (纸本)9781728131375

With a high penetration of distributed energy resources (DER) connected to the power grid, the reliability and safety of the power grid compromised by the uncertainty of energy output. Many utilities adopted strategies to abandon excessive wind and solar energy generation to ensure reliable operations of the power grid. The virtual power plant (VPP) is a way of aggregating various types of energy resources and optimizing resources utilization. It participates in the electricity market and improves the utilization of energy resources within the VPP. VPP provides services such as peak shaving, frequency regulation, and emergency power support for the power grid. It intends to prevent the negative impact caused by the uncertainty of power generation of the distributed energy resources. In this paper, three kinds of typical VPP interactive resource are introduced, which differ in characteristics, control modes, and output characteristics. In addition, the VPP achieves improved energy efficiency through rational optimized resource allocation and optimized scheduling, including internal and external scheduling optimization. © 2019 IEEE.

关键词： Virtual Power Plants

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Power Supply Recovery Strategy of Distribution network Based on Weak Voltage Area Recognition 3

Power Supply Recovery Strategy of Distribution Network Based...

引用

3rd IEEE conference on Energy Internet and Energy System Integration, EI2 2019

作者： Chen, Congshuang Hao, Lili Huang, Mei Zhang, Shengjian Wang, Yifeng Ji, Yu Nanjing Tech University College of Electrical Engineering and Control Nanjing China Nantong Electric Power Company Nantong China

ISBN: (数字)9781728131375

ISBN: (纸本)9781728131375

Fault recovery of the distribution network is actually the transfer of load in the power loss area to the contact reserve with the remaining capacity through the operation of the switch or the DG running on the island, which is a multi-objective and multi-constrained optimization problem. This paper introduces the recognition method of the weak voltage area, and then the recoverable areas are formed by eliminating nodes in the weak voltage areas. The importance of the outage load in the recovery process is ranked, and the model of the load recovery is built considering income, risks and costs. The heuristic search algorithm is used as the solution method, which optimizes the target nodes and recovery paths in the recovery process. Finally, a test system is developed to verify the rationality of the proposed method. © 2019 IEEE.

关键词： Heuristic algorithms

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3rd International conference on Space Information networks, SINC 2018

3rd International Conference on Space Information Networks, ...

引用

3rd International conference on Space Information networks, SINC 2018

ISBN: (纸本)9789811359361

The proceedings contain 23 papers. The special focus in this conference is on Space Information networks. The topics include: The Investigation of Resource Allocation on Heterogeneous Space-Based networks Based on SDN Framework;performance of Systematic Convolutional Low Density Generator Matrix Codes over Rayleigh Fading Channels with Impulsive Noise;coordinated Earth Observation Task Scheduling Algorithm for Multiple controlling Platforms;Beam-Hopping Based Resource Allocation Algorithm in LEO Satellite network;Delay-Constrained Load Balancing in the SDN;Research on Handover Strategy of Low Orbit Spacecraft Based on Multi-beam GEO Communication Satellite;resource Scheduling and Cooperative Management of Space Information networks;research on Satellite-Ground Communication in Terahertz Massive Satellite Systems;End-to-End Latency optimization in Software Defined LEO Satellite Terrestrial Systems;A Link Selection Algorithm Based on EKF and Overlapping Coalition Formation Game for Hybrid Cooperative Positioning;blockchain Based Distributed network Architecture;Robust control of Distributed SAR Beam Synchronization Based on Inverse Optimal Method;hyper-spectral Images Classification Based on 3D Convolution Neural networks for Remote Sensing;a Multi-sensor Target Recognition Information Fusion Approach Based on Improved Evidence Reasoning Rule;Application of SVM and PSO Arithmetic in Deep Space Exploration Data Analysis;situational Awareness in Space Based Blockchain Wireless networks;research on Internet of Things Vulnerability Based on Complex network Attack Model;visualization Analysis About Cyber Physical Systems Research Based on CiteSpace;modeling Method of Space Information network Architecture Based on TaaC;Overview of the International Satellite-Based COSPAS-SARSAT System;Research on SINs Topology Evolution Mechanism: Considering Local-World.

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Water level prediction based on polyelement correlation analysis and improved BP neural network 3

Water level prediction based on polyelement correlation anal...

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3rd Annual International conference on network and Information Systems for Computers, ICNISC 2017

作者： Sun, Hong-Peng Xia, Xiao-Ling Le, Jia-Jin Huang, Hao Computer Science and Technology Donghua University Shanghai China

ISBN: (纸本)9781538616185

To discover the useful information in a large amount of hydrological data set becomes a big challenge in hydrological data mining. Water level Prediction has great significance for the state flood control. However, current approaches has low accuracy and bad adaptability. In this paper, we put forward a new forecasting approach based on polyelem-ent correlation analysis and improved BP neural network. First, we used correlation analysis technique to obtain the most relatively influential factors of water level, rainfall and temperature. These two factors and water level were put together to train the improved double-hidden neural network model, then we used LMDP optimization algorithm to optimize the model. The data of experiment is the daily water level, rainfall and temperature data from Zhari Namco observation station. The experimental results based on the five evaluation criteria demonstrate that the proposed method has high accuracy, low error and be superior to the traditional prediction model. © 2019 IEEE.

关键词： Data mining

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