Threshold based scheduling of Residential Distributed Energy Resources for Demand Response

被引:0
|
作者
Singabhattu, Hemanth [1 ]
Jain, Amit [1 ]
Bhattacharjee, Tulika [2 ]
机构
[1] Cent Power Res Inst, Power Syst Div, Bangalore, Karnataka, India
[2] Cent Power Res Inst, R&D Management Div, Bangalore, Karnataka, India
关键词
Day-Ahead Real Time Pricing (DA-RTP); Demand Response (DR); Distributed Energy Resources (DER); Mixed Integer Linear Programming; Smart Grid; SIDE MANAGEMENT; SMART GRIDS; OPTIMIZATION; APPLIANCES;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Demand Response from residential customers by coordinating their distributed energy resources (DER) is still a challenge. This paper provides a framework to coordinate these residential DER to minimize the customer electricity bill. This is achieved by scheduling these residential DER around a threshold identified from the day ahead real lime prices (I)ARTP) received by the smart meter. Methodologies to find this threshold for two types of customers namely, dispatchable-DG customer and renewable-DG customer are discussed. Simulation results showing the optimized schedules of DER and electricity bill for these customers using these methodologies are presented. Thus, the framework developed in the present work helps in realizing the fully responsive and non-disruptive load control for the smart grid customers.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Optimal Scheduling of Distributed Energy Resources in Residential Building under the Demand Response Commitment Contract
    Baek, Keon
    Ko, Woong
    Kim, Jinho
    [J]. ENERGIES, 2019, 12 (14)
  • [2] Economic Impact of Demand Response in the Scheduling of Distributed Energy Resources
    Spinola, Joao
    Faria, Pedro
    Vale, Zita
    [J]. 2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2015, : 1545 - 1552
  • [3] Distributed Energy Resources Scheduling and Aggregation in the Context of Demand Response Programs
    Faria, Pedro
    Spinola, Joao
    Vale, Zita
    [J]. ENERGIES, 2018, 11 (08):
  • [4] Constrained consumption shifting management in the distributed energy resources scheduling considering demand response
    Faria, Pedro
    Vale, Zita
    Baptista, Jose
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 93 : 309 - 320
  • [5] Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources
    Hashemi, Abozar
    Derakshan, Ghasem
    Pahlavani, M. R. Alizadeh
    Abdi, Babak
    [J]. ENVIRONMENTAL AND CLIMATE TECHNOLOGIES, 2020, 24 (01) : 580 - 603
  • [6] Day Ahead Scheduling of Distribution System With Distributed Energy Resources Considering Demand Response and Energy Storage
    Khanabadi, Mojtaba
    Kamalasadan, Sukumar
    [J]. 2013 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2013,
  • [7] A Distributed Energy Management Approach for Residential Demand Response
    Kou, Xiao
    Li, Fangxing
    Dong, Jin
    Starke, Michael
    Munk, Jeffery
    Kuruganti, Teja
    Zandi, Helia
    [J]. 2019 3RD INTERNATIONAL CONFERENCE ON SMART GRID AND SMART CITIES (ICSGSC 2019), 2019, : 170 - 175
  • [8] Distributed Algorithms for Control of Demand Response and Distributed Energy Resources
    Dominguez-Garcia, Alejandro D.
    Hadjicostis, Christoforos N.
    [J]. 2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 27 - 32
  • [9] Energy scheduling for residential distributed energy resources with uncertainties using model-based predictive control
    Moradmand, Anahita
    Dorostian, Mehrdad
    Shafai, Bahram
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 132
  • [10] Automated Energy Scheduling Algorithms for Residential Demand Response Systems
    Park, Laihyuk
    Jang, Yongwoon
    Bae, Hyoungchel
    Lee, Juho
    Park, Chang Yun
    Cho, Sungrae
    [J]. ENERGIES, 2017, 10 (09):