Energy allocation and payment: a game-theoretic approach

被引:0
|
作者
Giuliodori, Paolo [1 ]
Bistarelli, Stefano [2 ]
Mugnai, Dimitri [3 ]
机构
[1] Univ Camerino, Comp Sci Div, Sci & Technol Sch, Camerino, MC, Italy
[2] Univ Perugia, Dept Math & Comp Sci, Perugia, PG, Italy
[3] Univ Tuscia, Dept Ecol & Biol Sci, Viterbo, VT, Italy
关键词
Mechanism design; Cooperation game theory; 91-XX; 91Axx; DEMAND-SIDE MANAGEMENT; SHAPLEY VALUE;
D O I
10.1007/s10472-019-09685-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nowadays, energy represents the most important resource; however, we need to face several energy-related rising issues, one main concern is how energy is consumed. In particular, how we can stimulate consumers on a specific behaviour. In this work, we present a model facing energy allocation and payment. Thus, we start with the explanation of the first step of our work concerning a mechanism design approach for energy allocation among consumers. More in details, we go deep into the formal description of the energy model and users' consumption profiles. We aim to select the optimal consumption profile for every user avoiding consumption peaks when the total required energy could exceed the energy production. The mechanism will be able to drive users in shifting energy consumptions in different hours of the day. The next step concerns a payment estimation problem which involves a community of users and an energy distributor (or producer). Our aim is to compute payments for every user in the community according to the single user's consumption, the community's consumption and the available energy. By computing community-dependent energy bills, our model stimulates a users' virtuous behaviour, so that everyone approaches the production threshold as close as possible. Our payment function distributes incentives if the consumption is lower than the produced energy and penalties when the consumption exceeds the resources threshold, satisfying efficiency and fairness properties both from the community (efficiency as an economic equilibrium among sellers and buyers) and the single user (fairness as an economic measure of energy good-behaving) points of view.
引用
收藏
页码:793 / 816
页数:24
相关论文
共 50 条
  • [1] Energy allocation and payment: a game-theoretic approach
    Paolo Giuliodori
    Stefano Bistarelli
    Dimitri Mugnai
    [J]. Annals of Mathematics and Artificial Intelligence, 2020, 88 : 793 - 816
  • [2] A Game-Theoretic Approach to Resource Allocation in the Cloud
    Salman, Ola
    Awad, Mariette
    Saab, Farah
    Elhajj, Imad
    Chehab, Ali
    Kayssi, Ayman
    [J]. 2016 IEEE INTERNATIONAL MULTIDISCIPLINARY CONFERENCE ON ENGINEERING TECHNOLOGY (IMCET), 2016, : 132 - 137
  • [3] A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce
    Gianniti, Eugenio
    Ardagna, Danilo
    Ciavotta, Michele
    Passacantando, Mauro
    [J]. 2017 17TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), 2017, : 1080 - 1089
  • [4] Uniform power allocation in MIMO channels: A game-theoretic approach
    Palomar, DP
    Cioffi, JM
    Lagunas, MA
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2003, 49 (07) : 1707 - 1727
  • [5] Uniform power allocation in MIMO channels: A game-theoretic approach
    Palomar, DP
    Cioffi, JM
    Lagunas, MA
    [J]. 2003 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS, 2003, : 271 - 271
  • [6] Channel Allocation in Cognitive Radio Networks: A Game-Theoretic Approach
    Kumar, Vinesh
    Dhurandher, Sanjay Kumar
    Woungang, Isaac
    Gupta, Shashank
    Singh, Surajpratap
    [J]. ADVANCES IN NETWORK-BASED INFORMATION SYSTEMS, NBIS-2022, 2022, 526 : 182 - 192
  • [7] A Game-Theoretic Approach on Resource Allocation With Colluding Nodes in MANETs
    Njilla, Laurent Yamen
    Echual, Patricia
    Pissinou, Niki
    Makki, Kia
    [J]. 2016 ANNUAL IEEE SYSTEMS CONFERENCE (SYSCON), 2016, : 763 - 770
  • [8] A game-theoretic optimisation approach to fair customer allocation in oligopolies
    Charitopoulos, Vassilis M.
    Dua, Vivek
    Pinto, Jose M.
    Papageorgiou, Lazaros G.
    [J]. OPTIMIZATION AND ENGINEERING, 2020, 21 (04) : 1459 - 1486
  • [9] A game-theoretic optimisation approach to fair customer allocation in oligopolies
    Vassilis M. Charitopoulos
    Vivek Dua
    Jose M. Pinto
    Lazaros G. Papageorgiou
    [J]. Optimization and Engineering, 2020, 21 : 1459 - 1486
  • [10] Supply Chain Collaboration: A Game-Theoretic Approach to Profit Allocation
    Ponte, Borja
    Fernandez, Isabel
    Rosillo, Rafael
    Parreno, Jose
    Garcia, Nazario
    [J]. JOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT-JIEM, 2016, 9 (05): : 1020 - 1034