Load curve smoothing strategy based on unified state model of different demand side resources

被引:28
|
作者
Wang, Mingshen [1 ]
Mu, Yunfei [1 ]
Jiang, Tao [2 ]
Jia, Hongjie [1 ]
Li, Xue [2 ]
Hou, Kai [1 ]
Wang, Tong [3 ]
机构
[1] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R China
[2] Northeast Elect Power Univ, Dept Elect Engn, Jilin 132012, Jilin, Peoples R China
[3] NARI Solar Energy Technol Co Ltd, Nanjing 210009, Jiangsu, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
Demand side resource (DSR); Power fluctuation; Distributed generation (DG); Electric vehicle (EV); Thermostatically-controlled load (TCL); Load curve smoothing; BATTERY ENERGY-STORAGE; IN ELECTRIC VEHICLES; POWER-PLANT MODEL; DISTRIBUTION NETWORKS; SYSTEMS; WIND; GENERATION; COORDINATION; INTEGRATION; PROFILE;
D O I
10.1007/s40565-017-0358-0
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Renewable energy based distributed generation (DG) has the potential to reach high penetration levels in the residential region. However, its integration at the demand side will cause rapid power fluctuations of the tie-line in the residential region. The traditional generators are generally difficult to manage rapid power fluctuations due to their insufficient efficiency requirements and low responding speed. With an effective control strategy, the demand side resources (DSRs) including DGs, electric vehicles and thermostatically-controlled loads at the demand side, are able to serve as the energy storage system to smooth the load fluctuations. However, it is a challenge to properly model different types of DSRs. To solve this problem, a unified state model is first developed to describe the characteristics of different DSRs. Then a load curve smoothing strategy is proposed to offset the load fluctuations of the tie-line of the residential region, where a control matrix deduced from the unified state model is introduced to manage the power outputs of different DSRs, considering the response order and the comfort levels. Finally, a residential region with households is used to validate the load curve smoothing strategy based on the unified state model, and the results show that the power fluctuation rate of the tie-line is significantly decreased. Meanwhile, comparative study results are shown to demonstrate the advantages of the unified state model based load curve smoothing strategy.
引用
收藏
页码:540 / 554
页数:15
相关论文
共 50 条
  • [1] Load curve smoothing strategy based on unified state model of different demand side resources
    Mingshen WANG
    Yunfei MU
    Tao JIANG
    Hongjie JIA
    Xue LI
    Kai HOU
    Tong WANG
    JournalofModernPowerSystemsandCleanEnergy, 2018, 6 (03) : 540 - 554
  • [2] A Unified Management and Control Model of Demand-Side Resources
    Wang, Mingshen
    Ting, Yu
    Mu, Yunfei
    Jia, Hongjie
    Li Shiguang
    8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105 : 2935 - 2940
  • [3] Demand-side adjustable resources unified data model study
    Wu, Juntao
    Hu, Junjie
    Chen, Songsong
    Xu, Wentao
    Tang, Bihong
    Wen, Xuan
    JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2023, 23 (05) : 2275 - 2289
  • [4] Research on Demand Side Resources Planning Strategy of Load Aggregator Considering CVaR
    Zhang, Peng
    Zhang, Jingjing
    Wu, Hongbin
    Qi, Xianjun
    2019 IEEE 10TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG 2019), 2019, : 479 - 485
  • [5] Load forecasting compatible with demand-side resources
    Zeng, M., 1600, Electric Power Automation Equipment Press (33):
  • [6] Load curve classification for the evaluation of demand side management programs
    Yumak, K.
    Tosun, G.
    Varlik, B.
    Bagriyanik, M.
    20TH INNOVATIVE MANUFACTURING ENGINEERING AND ENERGY CONFERENCE (IMANEE 2016), 2016, 161
  • [7] Novel Metaheuristic Optimizers Based Load Shifting and Flexible Load Curve Techniques for Demand-side Load Management
    Parmar, Ashokkumar
    Darji, Pranav
    SMART SCIENCE, 2023, 11 (03) : 538 - 567
  • [8] Study on Load Forecasting Method Compatible with Demand-side Resources
    Li Xueliang
    Wu Kuihua
    Kun, Li
    Bo, Li
    Rui, Liu
    Zhao, Liu
    Deng Shaozhi
    2020 5TH ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2020), 2020, : 776 - 782
  • [9] A Load Forecasting Analysis Method Considering Multiple Demand Side Resources
    Zhou Long
    Liu Dunnan
    Xiao Zhanhui
    Wang Qiang
    PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON MATERIAL, ENERGY AND ENVIRONMENT ENGINEERING (ISM3E 2015), 2016, 46 : 281 - 284
  • [10] An Aggregation Friendly Information Model for Demand Side Resources
    Gehrke, Oliver
    Isleifsson, Fridrik
    IEEE LOCAL COMPUTER NETWORK CONFERENCE, 2010, : 1019 - 1023