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Optimal Operation Strategy of Electricity-Hydrogen Regional Energy System under Carbon-Electricity Market Trading

Energy Engineering 2024年第3期121卷 619-641页

作者： Jingyu Li Mushui Wang Zhaoyuan Wu Guizhen Tian Na Zhang Guangchen Liu Inner Mongolia Key Laboratory of Electrical Energy Conversion Transmission and Control Inner Mongolia University of TechnologyHohhot010080China School of Electric Power Inner Mongolia University of TechnologyHohhot010080China School of Electrical and Electronic Engineering North China Electric Power UniversityBeijing102206China

Given the“double carbon”objective and the drive toward low-carbon power,investigating the integration and interaction within the carbon-electricity market can enhance renewable energy utilization and facilitate energy conservation and emission reduction ***,further research is necessary to explore operational optimization methods for establishing a regional energy system using Power-to-Hydrogen(P2H)technology,focusing on participating in combined carbon-electricity market *** study introduces an innovative Electro-Hydrogen Regional Energy System(EHRES)in this *** system integrates renewable energy sources,a P2H system,cogeneration units,and energy storage *** core purpose of this integration is to optimize renewable energy utilization and minimize carbon *** study aims to formulate an optimal operational strategy for EHRES,enabling its dynamic engagement in carbon-electricity market *** initial phase entails establishing the technological framework of the electricity-hydrogen coupling system integrated with ***,an analysis is conducted to examine the operational mode of EHRES as it participates in carbon-electricity market ***,the system scheduling model includes a stepped carbon trading price mechanism,considering the combined heat and power generation characteristics of the Hydrogen Fuel Cell(HFC).This facilitates the establishment of an optimal operational model for EHRES,aiming to minimize the overall operating *** simulation example illustrates that the coordinated operation of EHRES in carbon-electricity market transactions holds the potential to improve renewable energy utilization and reduce the overall system *** result carries significant implications for attaining advantages in both low-carbon and economic aspects.

关键词： Regional energy system electro-hydrogen coupling carbon-electricity market step carbon trading coordination and optimization

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A Storage and Transmission Joint Planning Method for Centralized Wind Power Transmission

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Computers, Materials & Continua 2021年第7期68卷 1081-1097页

作者： Xiuyu Yang Qi Guo Jianzhong Gui Renyong Chai Xueyuan Liu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University) Jilin132012China Electrical Engineering-PHD program at the University of Idaho Idaho83843America State Grid Jiangxi Power Supply Company Xinyu338025China

Centralized delivery has become the main operation mode under the scaled development of wind *** channels are usually the guarantee of out-delivered wind power for large-scale wind *** configuration of transmission capacity,which has the features of low utilization and poor economy,is hardly matching correctly due to the volatility and low energy density of *** usage of energy storage can mitigate wind power fluctuations and reduce the requirement of out-delivery transmission capacity,but facing the issue of energy storage cost ***,it is necessary to optimize the allocation of energy storage while considering the problem of wind power *** paper studies the joint optimization of large-scale wind power transmission capacity and energy storage,reveals the mechanism of energy storage in order to reduce the power fluctuation of wind power base and slow down the demand of ***,analyze the multi-functional cost-sharing mode of energy storage,improve the efficiency of energy storage cost *** the coordination optimization configuration model to deal with the problem of large-scale wind power transmission capacity and energy storage,and realizes the transmission capacity optimization coordination and optimization with energy *** proposed method is verified by a wind base located in Northeast China.

关键词： Wind farm group energy storage configuration transmission capacity coordination and optimization

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Internet-of-things enabled supply chain planning and coordination with big data services:Certain theoretic implications

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Journal of Management Science and Engineering 2020年第1期5卷 1-22页

作者： Longfei He Mei Xue Bin Gu College of Management and Economics Tianjin UniversityTianjin300072China Carroll School of Management Boston CollegeBostonMA02467USA Questrom School of Business Boston UniversityBostonMA02215USA

Recent advances in information technology have led to profound changes in global *** study focuses on the theoretical and practical challenges and oppor-tunities arising from the Internet of Things(IoT)as it enables new ways of supply-chain operations partially based on big-data analytics and changes in the nature of *** intend to reveal the acting principle of the IoT and its implications for big-data ana-lytics on the supply chain operational performance,particularly with regard to dynamics of operational coordination and optimization for supply chains by leveraging big data ob-tained from smart connected products(SCPs),and the governance mechanism of big-data *** on literature closely related to our focal topic,we analyze and deduce the substantial influence of disruptive technologies and emerging business models including the IoT,big data analytics and SCPs on many aspects of supply chains,such as consumers value judgment,products development,resources allocation,operations optimization,revenue management and network ***,we propose several research directions and corresponding research schemes in the new *** study aims to promote future researches in the field of big data-driven supply chain management with the IoT,help firms improve data-driven operational decisions,and provide government a reference to advance and regulate the development of the IoT and big data industry.

关键词： Internet of things Supply chains Intelligent interconnections Resources allocation Big data analytics coordination and optimization

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