Optimal Scheduling for Park-based Load Aggregator with Multiple Demand Response Loads

被引：1
作者：
Tang, Lutian [1 ]
Zhu, Chao [1 ]
Quan, Chen [1 ]
Bai, Jiawen [2 ]
Li, Shuai [2 ]
Ding, Tao [2 ]
机构：
[1] State Grid Shaanxi Elect Power Res Inst, Xian, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Elect Engn, Xian, Shaanxi, Peoples R China
来源：
2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022) | 2022年
关键词：
Demand response; load aggregator; curtailable load; shiftable load; transferable load; SERVING ENTITY; WIND ENERGY; MANAGEMENT; ALGORITHM;
D O I：
10.1109/ICPSAsia55496.2022.9949895
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：
The growth of load demand and the rapid development of renewable energy sources have brought insufficient supply and renewable consumption problems to the power grid. Demand response loads bring an effective way to solve these problems. Through the market mechanisms, such loads are guided to change their electricity consumption behavior to reduce the peak pressure of electricity consumption and consume renewable energy. In this paper, various types of loads in the park are assembled into load aggregators, which jointly participate in load-side demand response. A demand response optimization dispatching model with tariff and subsidy incentives is established to maximize revenue. The changes in various loads, energy storage, and new energy consumption before and after participation in demand response are compared, and the effectiveness of the model is verified by simulation.
引用
收藏
页码：1116 / 1120
页数：5
相关论文
共 21 条
  • [1] Reducing Curtailed Wind Energy Through Energy Storage and Demand Response
    Bitaraf, Hamideh
    Rahman, Saifur
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (01) : 228 - 236
  • [2] Blockchain-based Peer-to-Peer Transactive Energy System for Community Microgrid with Demand Response Management
    Bokkisam, Hanumantha Rao
    Singh, Shashank
    Acharya, Ritesh Mohan
    Selvan, M. P.
    [J]. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2022, 8 (01): : 198 - 211
  • [3] Integrated Demand Response Characteristics of Industrial Park: A Review
    Chen, Zhengqi
    Sun, Yingyun
    Ai, Xin
    Malik, Sarmad Majeed
    Yang, Liping
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2020, 8 (01) : 15 - 26
  • [4] de Oca S. M, 2017, MONT
  • [5] Incentives to Manipulate Demand Response Baselines With Uncertain Event Schedules
    Ellman, Douglas
    Xiao, Yuanzhang
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (02) : 1358 - 1369
  • [6] Novel Incentive Mechanism for End-Users Enrolled in DLC-Based Demand Response Programs Within Stochastic Planning Context
    Erdinc, Ozan
    Tascikaraoglu, Akin
    Paterakis, Nikolaos G.
    Catalao, Joao P. S.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (02) : 1476 - 1487
  • [7] Coupon-Based Demand Response Considering Wind Power Uncertainty: A Strategic Bidding Model for Load Serving Entities
    Fang, Xin
    Hu, Qinran
    Li, Fangxing
    Wang, Beibei
    Li, Yang
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (02) : 1025 - 1037
  • [8] Architecture and Algorithms for Privacy Preserving Thermal Inertial Load Management by a Load Serving Entity
    Halder, Abhishek
    Geng, Xinbo
    Kumar, P. R.
    Xie, Le
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (04) : 3275 - 3286
  • [9] A Competitive Scheduling Algorithm for Online Demand Response in Islanded Microgrids
    Karapetyan, Areg
    Khonji, Majid
    Chau, Sid Chi-Kin
    Elbassioni, Khaled
    Zeineldin, Hatem
    EL-Fouly, Tarek H. M.
    Al-Durra, Ahmed
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (04) : 3430 - 3440
  • [10] Impact of Load Profile on Dynamic Interactions Between Energy Markets: A Case Study of Power Exchange and Demand Response Exchange
    Konda, Srikanth Reddy
    Al-Sumaiti, Ameena Saad
    Panwar, Lokesh Kumar
    Panigrahi, Bijaya Ketan
    Kumar, Rajesh
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (11) : 5855 - 5866
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