A review on the deployment of demand response programs with multiple aspects coexistence over smart grid platform

被引:31
作者
Ibrahim, Charles [1 ]
Mougharbel, Imad [2 ]
Kanaan, Hadi Y. [1 ]
Abou Daher, Nivine [3 ]
Georges, Semaan [4 ]
Saad, Maarouf [2 ]
机构
[1] St Joseph Univ Beirut, Fac Engn, ESIB, Mkalles, Lebanon
[2] Ecole Technol Super, Elect Engn Dept, Montreal, PQ, Canada
[3] Res Inst Hydroquebec IREQ, Varennes, PQ, Canada
[4] Notre Dame Univ, Dept Elect Comp & Commun Engn, Beirut, Lebanon
关键词
Demand response programs; Approach; Marketing; Technical; Economic objectives; Architecture; Business intelligence; LOAD; MANAGEMENT; MICROGRIDS; OPERATION; STRATEGY; MARKET; MODEL; FLEXIBILITY; RELIABILITY; INDUSTRIAL;
D O I
10.1016/j.rser.2022.112446
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A modern strategy for improving the control of generation, distribution and consumption of electrical energy consists of launching programs affecting the demand on the consumer side. Objectives related to the so-called Demand Response Programs (DRP) are of technical, economic and marketing order. Multiple DRPs are actu-ally proposed and researchers keep on suggesting others. Although DRPs suggestions are still under tests for validation and implementation, an extensive literature exists in this domain. Multiple interdependent objectives are targeted and individual treatment might lead to undesired outcome. It is paramount to perform a holistic review showing the implications of the objectives on each other. The aim is to include them in a consolidated model with assigned weights where intensive what if scenarios will be applied to reach the optimal model settings. Existing reviews and literature in this domain focused on individual or partially correlated aspects. This paper presents a review providing a wide coverage on existing approaches and objectives for implementing DRPs and their relation. Therefore, authors decided to focus on the technical, economic and marketing aspects with the consideration of architectures and business intelligence. Model structures with their variability and dynamicity enable a financially viable model with various market options correlated with the economic and technical as-pects. Hence, this mechanism assists in planning adequately and supporting the decision-making process.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Appliances considered demand response optimisation for smart grid
    Wang, Yipeng
    Yang, Wei
    Liu, Tie
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (04) : 856 - 864
  • [22] An Optimal Approach for Offering Multiple Demand Response Programs Over a Power Distribution Network
    Ibrahim, Charles
    Mougharbel, Imad
    Abou Daher, Nivine
    Kanaan, Hadi Y.
    Saad, Maarouf
    Georges, Semaan
    IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 95 - 102
  • [23] A Practical Pricing Approach to Smart Grid Demand Response Based on Load Classification
    Yang, Hongming
    Zhang, Jun
    Qiu, Jing
    Zhang, Sanhua
    Lai, Mingyong
    Dong, Zhao Yang
    IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (01) : 179 - 190
  • [24] A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms
    Vardakas, John S.
    Zorba, Nizar
    Verikoukis, Christos V.
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (01): : 152 - 178
  • [25] A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach
    Lu, Renzhi
    Hong, Seung Ho
    Zhang, Xiongfeng
    APPLIED ENERGY, 2018, 220 : 220 - 230
  • [26] Demand side management in a smart grid with multiple electricity suppliers
    Jalali, Mohammad Majid
    Kazemi, Ahad
    ENERGY, 2015, 81 : 766 - 776
  • [27] Development of the Demand Response Programs in Smart Grids with Determination of the Ancillary Services Price for Demand-side
    Sahraie, Elahe
    Zakariazadeh, Alireza
    Souchelmaie, Mohammad Babaie
    34TH INTERNATIONAL POWER SYSTEM CONFERENCE (PSC2019), 2019, : 736 - 742
  • [28] A review on price-driven energy management systems and demand response programs in smart grids
    Mohammed Jasim M. Al Essa
    Environment Systems and Decisions, 2025, 45 (1)
  • [29] A grid view on the dynamics of processes participating in demand response programs
    Tang, Xin
    Baldea, Michael
    COMPUTERS & CHEMICAL ENGINEERING, 2023, 169
  • [30] Optimal scheduling of distribution systems considering multiple downward energy hubs and demand response programs
    Bostan, Alireza
    Nazar, Mehrdad Setayesh
    Shafie-Khah, Miadreza
    Catalao, Joao P. S.
    ENERGY, 2020, 190