On the trade-off between real-time pricing and the social acceptability costs of demand response

被引:13
|
作者
da Silva, Hendrigo Batista [1 ]
Santiago, Leonardo P. [2 ]
机构
[1] Univ Fed Minas Gerais, Dept Prod Engn, 6627 Antonio Carlos Ave, Belo Horizonte, MG, Brazil
[2] Copenhagen Business Sch, Solbjerg Pl 3, DK-2000 Frederiksberg, Denmark
来源
关键词
Demand response; Customer resistance; Social acceptability; Real-time pricing; SMART METER DATA; ELECTRICITY DEMAND; RENEWABLE ENERGY; SIDE MANAGEMENT; ELASTICITY; CONSUMPTION; INTEGRATION; PROGRAMS; MODEL;
D O I
10.1016/j.rser.2017.05.219
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Dynamic tariff policies have become an essential feature of modern electric grid design. The successful implementation of such policies usually depends on overcoming the resistance of end-users to real-time pricing and its political implications. In this paper, we review the literature on the social acceptability costs of implementing demand response programs, and we discuss the key features of implementing a real-time price to energy. Although the literature acknowledges the existence of a social acceptability cost, it does not propose an explicit approach to dealing with this issue. A model for investigating the implications of the social acceptability cost is thus introduced and through it, we discuss thoroughly the joint impact of the elasticity and externality parameters on the tariff design of a demand response program. We explore how the increases in elasticity and in externality effects influence price changes in such programs and how the social acceptability cost could be reduced as a function of pricing policies. We conclude by discussing the policy design mechanisms in line with demand elasticity and their role in decreasing price variations to cope with the minimum volatility principle. In the presence of policies that penalize high prices, there is an even further decrease in price variations.
引用
收藏
页码:1513 / 1521
页数:9
相关论文
共 50 条
  • [1] The trade-off between accuracy and the complexity of real-time background subtraction
    Hossain, Md Alamgir
    Nguyen, VanDung
    Huh, Eui-Nam
    [J]. IET IMAGE PROCESSING, 2021, 15 (02) : 350 - 368
  • [2] Real-time Pricing Demand Response in Operations
    Widergren, S., Sr.
    Marinovici, C.
    Berliner, T.
    Graves, A.
    [J]. 2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [3] EVALUATION OF A REAL-TIME MONITORING-SYSTEM FOR RIVER QUALITY - A TRADE-OFF BETWEEN RISK ATTITUDES, COSTS, AND UNCERTAINTY
    VARIS, O
    KLOVE, B
    KETTUNEN, J
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 1993, 28 (03) : 201 - 213
  • [4] Modeling of Dynamics in Demand Response for Real-time Pricing
    Maruta, Ichiro
    Takarada, Yusuke
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2014, : 806 - 811
  • [5] Randomized Automated Demand Response for Real-time Pricing
    Azuma, Shun-ichi
    Nakamoto, Tsuyoshi
    Izumi, Shinsaku
    Kitao, Taichi
    Maruta, Ichiro
    [J]. 2015 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2015,
  • [6] Randomized Automated Demand Response for Real-time Pricing
    Azuma, Shun-ichi
    Nakamoto, Tsuyoshi
    Izumi, Shinsaku
    Kitao, Taichi
    Maruta, Ichiro
    [J]. 2015 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2015,
  • [7] Trade-off analysis of real-time control performance and schedulability
    Seto, D
    Lehoczky, JP
    Sha, L
    Shin, KG
    [J]. REAL-TIME SYSTEMS, 2001, 21 (03) : 199 - 217
  • [8] Trade-Off Analysis of Real-Time Control Performance and Schedulability*
    Danbing Seto
    John P. Lehoczky
    Lui Sha
    Kang G. Shin
    [J]. Real-Time Systems, 2001, 21 : 199 - 217
  • [9] A hybrid demand response mechanism based on real-time incentive and real-time pricing
    Xu, Bo
    Wang, Jiexin
    Guo, Mengyuan
    Lu, Jiayu
    Li, Gehui
    Han, Liang
    [J]. ENERGY, 2021, 231
  • [10] Real-Time Simulation of Real-Time Pricing Demand Response to Meet Wind Variations
    Gomes, L.
    Fernandes, F.
    Faria, P.
    Silva, M.
    Vale, Z.
    Ramos, C.
    [J]. 2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT EUROPE), 2014,