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Electricity-Heat-Based Integrated Demand Response Considering double auction Energy Market with Multi-Energy Storage for Interconnected Areas

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CSEE Journal of Power and Energy Systems 2024年第4期10卷 1688-1700页

作者： Dan Wang Deyu Huang Qing'e Hu Hongjie Jia Bo Liu Yang Lei Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China Key Laboratory of Smart Energy&Information Technology of Tianjin Municipality Tianjin 30072China

With development of integrated energy systems and energy markets,transactive energy has received increasing attention from society and academia,and realization of energy distribution and integrated demand response through market transactions has become a current research *** on optimized operation of a distributed energy station as a regional energy supply center is of great significance for improving flexibility and reliability of the *** on retail-side energy trading market,this study first establishes a framework of combined electric and heating energy markets and analyses a double auction market mechanism model of interconnected distributed energy *** study establishes a mechanism model of energy market participants,and establishes the electric heating combined market-clearing model to maximize global surplus considering multi-energy ***,in the case study,a typical user energy consumption scenario in winter is selected,showing market-clearing results and demand response effects on a typical *** of transmission line constraints,energy supply equipment capacity,and other factors on clearing results and global surplus are compared and analyzed,verifying the effects of the proposed method on improving global surplus,enhancing interests of market participants and realizing coordination and optimal allocation of both supply and demand resources through energy complementarity between regions.

关键词： double auction energy market integrated energy system interconnected energy stations multi-energy storage

MARSHALLIAN DEVIATION:NEW OBSERVABLE　CRITERION TO MEASURE TRANSACTION PATHS　IN double auction MARKETS

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Journal of Systems Science & Complexity 2002年第3期15卷 261-277页

作者： ZHANWenjie WANGShouyang 等 SchoolofManagement HuazhongUniversityopfScienceandTechnologyWuhan430074China InstituteofSystemScience AcademyofMathematicsandSystemsScienceChinsesAcademyofSciencesBeijing10008

In measuring the trade process in a double auction (DA) market, there is not any observable criterion that is able to describe the matching pairs and their transaction order dynamically. In this paper, we propose a new observable criterion called Marshallian deviation. It can be used to measure the distance of a transaction path deviating from the Marshallian path mathematically, and to answer the question why buyers with high values will trade with sellers with low costs in advance in some types of DA but not in others. Furthermore, three factors influencing the Marshallian deviations both in the CDA and in the PDA are also studied. They are respectively the strategic algorithm, the transaction duration and the number of traders. A few interesting findings are presented.

关键词： double auction Marshallian deviation transaction path experimental economics.

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Optimal social welfare:A many-to-many data transaction mechanism based on double auctions

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Digital Communications and Networks 2023年第5期9卷 1230-1241页

作者： Jingyuan Duan Ling Tian Jianqiao Mao Jiaxin Li School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China Shenzhen Institute of Information Technology China Department of Electronic and Electrical Engineering University College LondonGower StreetLondonUnited Kingdom Amazon(China)Investment Ltd China

With the development of Big Data and the Internet of Things(IoT),the data value is more significant in both academia and *** can achieve maximal data value and prepare data for smart city *** to data's unique characteristics,such as dispersion,heterogeneity and distributed storage,an unbiased platform is necessary for the data trading market with rational trading ***,there are multiple buyers and sellers in a practical data trading market,and this makes it challenging to maximize social *** solve these problems,this paper proposes a Social-Welfare-Oriented Many-to-Many Trading Mechanism(SOMTM),which integrates three entities,a trading process and an algorithm named Many-to-Many Trading Algorithm(MMTA).Based on the market scale,market dominated-side and market fixed-side,simulations verify the convergency,economic properties and efficiency of SOMTM.

关键词： Data trading double auction Social welfare Game theory Smart city

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Effect of Trader Composition on Stock Market

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Communications in Theoretical Physics 2011年第5期55卷 925-930页

作者：王茂基王兴元刘真真 School of Electronic and Information Engineering Dalian University of Technology

In this study, we build a double auction market model, which contains two types of agent traders, i.e., the noise traders and fundamentalists, to investigate the effect of the trader composition on the stock market. It is found that, the non-trivial Hurst exponent and the fat-tailed distribution of transaction prices can be observed at any ratio of the noise traders. Analyses on the price variation properties, including the Hurst exponent and the price variation region, show that these properties are stable when the ratio is moderate. However, the non-price variation properties, including the trading volume and the profitability of the two kinds of agents, do not keep stable untrivially in any interval of the ratio of noise traders.

关键词： agent double auction the trader composition non-price variation properties

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Energy Trading in Smart Grid:A Deep Reinforcement Learning-based Approach

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Energy Trading in Smart Grid:A Deep Reinforcement Learning-b...

Long-term auction for Inner-Dependent Task Offloading in Blockchain-Enabled Edge Computing

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作者： Feiye Zhang Qingyu Yang School of Automation Science and Engineering Xi'an Jiaotong University SKLMSE Lab MOE Key Laboratory for Intelligent Networks and Network SecuritySchool of Automation Science and EngineeringXi'an Jiaotong University

To achieve the efficient operation of the smart grid,appropriate energy trading strategy plays an important role in reducing multi-agent costs in the trading process as well as alleviating grid ***,with the increase of the number of participants in smart grid,energy trading has been greatly challenged in terms of stable and effective *** this paper,we propose a deep reinforcement learning-based energy double auction trading *** the deep reinforcement learning algorithm,buyers and sellers can gradually learn the environment by treating the three elements:total supply,total demand and their own supply and demand as states,in addition,regarding both bidding price and quantity as bidding *** from simulation indicate that as the learning continues and reaches the convergence,both the cost which buyers pay in the auction has decreased significantly,and the profit which sellers earn in the auction will increase.

关键词： Smart Grid Energy Trading double auction Deep Reinforcement Learning

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Long-term Auction for Inner-Dependent Task Offloading in Blo...