The competitive network analysis between gas and electric power by Multi-Agent Simulator

被引：0

作者：

Hirayama, Katsumi ^{[1
]}

机构：

[1] Univ Kitakyushu, Fac Econ & Business Adm, Fukuoka, Japan

来源：

WMSCI 2006: 10TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VII, PROCEEDINGS | 2006年

关键词：

Multi-Agent Simulation; auto-poiesis; network; gas; electric;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we describe a convergence model of two different kinds of enterprises which supply energy such as electric power and gas by a multi-agent simulator that can be used to approximate social economic systems.

引用

页码：7 / 8

页数：2

共 50 条

[31] Multi-agent deep reinforcement learning based fully decentralized aggregation frequency regulation of electric vehicle [J].

Wang, Haotian ;

Jiang, Han ;

Sun, Yingyun .

ELECTRIC POWER SYSTEMS RESEARCH, 2024, 234

[32] Pinning Synchronization of Heterogeneous Multi-Agent Nonlinear Systems via Contraction Analysis [J].

Yin, Hao ;

Jayawardhana, Bayu ;

Reyes-Baez, Rodolfo .

IEEE CONTROL SYSTEMS LETTERS, 2022, 6 :157-162

[33] Design and off design pipe network geothermal power plant analysis with power pipe simulator [J].

Di Maria, F .

ENERGY CONVERSION AND MANAGEMENT, 2000, 41 (12) :1223-1235

[34] An Alternative Approach to Network Demand Estimation: Implementation and Application in Multi-Agent Transport Simulation (MATSim) [J].

Mtoi, Enock T. ;

Moses, Ren ;

Ozguven, Eren Erman .

5TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS / THE 4TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE / AFFILIATED WORKSHOPS, 2014, 37 :382-389

[35] Strategic bidding in a competitive electricity market: An intelligent method using Multi-Agent Transfer Learning based on reinforcement learning [J].

Wu, Jiahui ;

Wang, Jidong ;

Kong, Xiangyu .

ENERGY, 2022, 256

[36] Distributed Malfunction Estimation of Multi-Area Interconnected Power Systems Based on Intermediate Observer and Multi-Agent Systems [J].

Wang, Ziming ;

Zhang, Zhao ;

Zhou, Hongyan ;

Chen, Xue-Bo .

ENGINEERING LETTERS, 2024, 32 (10) :1901-1908

[37] Real-Time Multi-Agent Based Power Management of Virtually Integrated Microgrids Comprising Prosumers of Plug-in Electric Vehicles and Renewable Energy Sources [J].

Sifakis, Nikolaos K. ;

Kanellos, Fotis D. .

IEEE ACCESS, 2024, 12 :161842-161865

[38] Distributed investment decisions and forecasting errors: An analysis based on a multi-agent simulation model [J].

Leitner, Stephan ;

Rausch, Alexandra ;

Behrens, Doris A. .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2017, 258 (01) :279-294

[39] Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances [J].

Zhang, Dan ;

Feng, Gang ;

Shi, Yang ;

Srinivasan, Dipti .

IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 8 (02) :319-333

[40] Consensus Analysis of Nonlinear Dynamical Multi-Agent Systems by Relative Lyapunov Function Method [J].

Ma, HaiYing ;

Cai, Ning .

ADVANCED COMPOSITE MATERIALS, PTS 1-3, 2012, 482-484 :1969-+

← 1 2 3 4 5 →