A bi-level model for the design of dynamic electricity tariffs with demand-side flexibility

被引:3
|
作者
Beraldi, Patrizia [1 ]
Khodaparasti, Sara [1 ]
机构
[1] Univ Calabria, Dept Mech Energy & Management Engn, Arcavacata Di Rende, CS, Italy
关键词
Pricing problem; Aggregator; Prosumers; Bi-level optimization; GLOBAL OPTIMIZATION; ALGORITHM;
D O I
10.1007/s00500-022-07038-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper addresses the electricity pricing problem with demand-side flexibility. The interaction between an aggregator and the prosumers within a coalition is modeled by a Stackelberg game and formulated as a mathematical bi-level program where the aggregator and the prosumer, respectively, play the role of upper and lower decision makers with conflicting goals. The aggregator establishes the pricing scheme by optimizing the supply strategy with the aim of maximizing the profit, prosumers react to the price signals by scheduling the flexible loads and managing the home energy system to minimize the electricity bill. The problem is solved by a heuristic approach which exploits the specific model structure. Some numerical experiments have been carried out on a real test case. The results provide the stakeholders with informative managerial insights underlining the prominent roles of aggregator and prosumers.
引用
收藏
页码:12925 / 12942
页数:18
相关论文
共 50 条
  • [31] Domestic demand-side response with heat pumps: controls and tariffs
    Sweetnam, Trevor
    Fell, Michael
    Oikonomou, Eleni
    Oreszczyn, Tadj
    BUILDING RESEARCH AND INFORMATION, 2019, 47 (04): : 344 - 361
  • [32] Competition between simultaneous demand-side flexibility options: the case of community electricity storage systems
    Scheller, Fabian
    Burkhardt, Robert
    Schwarzeit, Robert
    McKenna, Russell
    Bruckner, Thomas
    APPLIED ENERGY, 2020, 269
  • [33] Research on bi-level model and solution algorithm for dynamic transit design problem
    Ren, Hua-Ling
    Gao, Zi-You
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2007, 27 (05): : 82 - 89
  • [34] Agent-Based Modeling of the Demand-Side Flexibility
    Kladnik, B.
    Gubina, A.
    Artac, G.
    Nagode, K.
    Kockar, I.
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [35] Characterization of Aggregated Demand-side Flexibility of Small Consumers
    Rasouli, Vahid
    Gomes, Alvaro
    Antunes, Carlos Henggeler
    2020 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST), 2020,
  • [36] Electricity market equilibria analysis on the value of demand-side flexibility portfolios' mix and the strategic demand aggregators' market power
    Khaksari, Alireza
    Steriotis, Konstantinos
    Makris, Prodromos
    Tsaousoglou, Georgios
    Efthymiopoulos, Nikolaos
    Varvarigos, Emmanouel
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2024, 38
  • [37] Ecosystem for Demand-side Flexibility Revisited: The Danish Solution
    Gade P.A.V.
    Skjøtskift T.
    Bindner H.W.
    Kazempour J.
    Electricity Journal, 2022, 35 (09):
  • [38] Framework for the incorporation of demand-side in a competitive electricity market
    Strbac, G
    Farmer, ED
    Cory, BJ
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1996, 143 (03) : 232 - 237
  • [39] Industrial Demand-Side Flexibility: A Benchmark Data Set
    Ludwig, Nicole
    Barth, Lukas
    Wagner, Dorothea
    Hagenmeyer, Veit
    E-ENERGY'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS, 2019, : 460 - 473
  • [40] A bi-level hybrid PSO - MW solver approach to define dynamic tariffs and estimate bounds for an electricity retailer profit Extended Abstract
    Soares, Ines
    Alves, Maria Joao
    Antunes, Carlos Henggeler
    PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION), 2019, : 33 - 34