An optimal distributed constraint optimisation algorithm for efficient energy management

被引:0
|
作者
Penya, Yoseba K. [1 ]
Jennings, Nicholas R. [2 ]
Neumann, Gustaf [1 ]
机构
[1] Vienna Univ Econ & Business Adm, Dept Informat Syst, Vienna, Austria
[2] Univ Southampton, Sch Elect & Comp Sci, Southampton, Hants, England
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The deregulation of the electricity industry in Europe has created a number of marketplaces in which producers and consumers can operate in order to more effectively manage and meet their energy needs. To this end, in previous work we introduced a new market design where consumers allocate the supply of the energy they need in a number of simultaneous reverse combinatorial auctions. To do this efficiently, each consumer needs to coordinate and optimise the use of its various appliances to achieve the best possible consumption schedule according to the received bids. In particular, this paper models each client's constellation of devices as a distributed constraint optimisation problem (DCOP) and we develop a novel optimal algorithm (COBB - Constraint Optimisation By Broadcasting) for solving it. We also evaluate COBB, prove its optimality and show how it outperforms other comparable algorithms.
引用
收藏
页码:177 / +
页数:2
相关论文
共 50 条
  • [31] An efficient delay-optimal distributed termination detection algorithm
    Mahapatra, Nihar R.
    Dutt, Shantanu
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2007, 67 (10) : 1047 - 1066
  • [32] Benchmarking hybrid algorithms for distributed constraint optimisation games
    Archie C. Chapman
    Alex Rogers
    Nicholas R. Jennings
    Autonomous Agents and Multi-Agent Systems, 2011, 22 : 385 - 414
  • [33] Using relaxations to improve search in distributed constraint optimisation
    David A. Burke
    Kenneth N. Brown
    Artificial Intelligence Review, 2007, 28 : 35 - 50
  • [34] Benchmarking hybrid algorithms for distributed constraint optimisation games
    Chapman, Archie C.
    Rogers, Alex
    Jennings, Nicholas R.
    AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2011, 22 (03) : 385 - 414
  • [35] Distributed constraint optimisation for resource limited sensor networks
    Muldoon, Conor
    O'Hare, Gregory M. P.
    O'Grady, Michael J.
    Tynan, Richard
    Trigoni, Niki
    SCIENCE OF COMPUTER PROGRAMMING, 2013, 78 (05) : 583 - 593
  • [36] Using relaxations to improve search in distributed constraint optimisation
    Burke, David A.
    Brown, Kenneth N.
    ARTIFICIAL INTELLIGENCE REVIEW, 2007, 28 (01) : 35 - 50
  • [37] Distributed Energy Efficient Node Relocation Algorithm (DEENR)
    ul Hassan, Mahmood
    Khan, Muhammad Amir
    Ali, Shahzad
    Mahmood, Khalid
    Shah, Ansar Munir
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2018, 9 (03) : 95 - 100
  • [38] Optimal scheduling of home appliances in home energy management systems using grey wolf optimisation (GWO) algorithm
    Jordehi, Ahmad Rezaee
    2019 IEEE MILAN POWERTECH, 2019,
  • [39] Optimal Energy Management for Energy Harvesting Transmitters under Battery Usage Constraint
    Wu, Xianwen
    Yang, Jing
    Wu, Jingxian
    2016 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, 2016, : 475 - 479
  • [40] Capacity optimisation of rural distributed energy system based on two-stage robust optimisation algorithm
    Wang, Juan
    Wang, Sirui
    Zhang, Fengzhong
    Sun, Xueyang
    INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2024, 44 (04) : 368 - 378