A Simple Control Method of Waterworks Pump Power Consumption for Demand Response

被引:0
作者
Imanaka, Masaki [1 ]
Baba, Jumpei [1 ]
Shimabuku, Masanori [2 ]
Tobaru, Chihiro [2 ]
Uezu, Yuma [2 ]
机构
[1] Univ Tokyo, Grad Sch Frontier Sci, Chiba, Japan
[2] Okinawa Enetech Co Inc, Urasoe, Okinawa, Japan
来源
2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) | 2015年
关键词
Demand response; Power demand; Pumps; Waterworks; Water storage;
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 of waterworks has a big possibility because waterworks consume 2 similar to 3 % of world electricity and water is easy to store. This paper proposes a control method called "simple dead-beat control" to suppress the two-step power consumption of pumps of waterworks occurred in the step response. Though a dead-beat control method have been proposed, the method needs a lot of parameters to determine. The simple dead-beat control needs only step-response tests to determine the parameters. In tests of this method by use of actual waterworks site, the amplitude of two-step responses is modelled as bivariate quadratic function of the present and next target of pump power consumption. The effectiveness of the suppression is evaluated by the RMS value of the difference between the target and the actual pump power of the test data.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Stochastic Flexible Power System Expansion Planning, Based on the Demand Response Considering Consumption and Generation Uncertainties
    Moghadam, Ali Toolabi
    Bahramian, Bahram
    Shahbaazy, Farid
    Paeizi, Ali
    Senjyu, Tomonobu
    SUSTAINABILITY, 2023, 15 (02)
  • [32] Research on Thermostatically Controlled-Load Control Method Based on Demand Response
    Pan, Lingling
    Dong, Yu
    Yan, Yaqin
    Geng, Jian
    2022 6TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY ENGINEERING, ICPEE, 2022, : 282 - 287
  • [33] Modelling and forecasting of electrical consumption for demand response applications
    Crucianu, Iacob
    Bularca, Otilia
    Dumitrescu, Ana-Maria
    2019 IEEE MILAN POWERTECH, 2019,
  • [34] Wind and PV Power Consumption Strategy Based on Demand Response: A Model for Assessing User Response Potential Considering Differentiated Incentives
    Zhao, Wenhui
    Wu, Zilin
    Zhou, Bo
    Gao, Jiaoqian
    SUSTAINABILITY, 2024, 16 (08)
  • [35] A load control method for small data centers participating in demand response programs
    Tang, C. -J.
    Dai, M. -R.
    Chuang, C. -C.
    Chiu, Y. -S.
    Lin, W. S.
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2014, 32 : 232 - 245
  • [36] A Method for Evaluating Demand Response Potential of Industrial Loads Based on Fuzzy Control
    Li, Yan
    Liu, Zhiwen
    Shao, Chong
    Lin, Bingjun
    Rong, Jiayu
    Dong, Nan
    Su, Buyun
    Hong, Yuejia
    ENERGIES, 2024, 17 (20)
  • [37] Research on Load Characteristic Modeling and Optimization Control Method Based on Demand Response
    Luo Fan
    Peng Jing
    Liang Fubo
    Liu Fuchao
    Hua Xia
    Zhang Gang
    PROCEEDINGS OF 2018 IEEE 4TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2018), 2018, : 1412 - 1416
  • [38] Model predictive control of electric power and reserve dynamic dispatch including demand response
    Shehata, A. M.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (01) : 159 - 170
  • [39] Method to Determine Control of Energy Saving by Using Explanatory Variables for Demand Response
    Mega, Toshihiro
    Nakajima, Yoshinori
    Komatsu, Kazuhiro
    Sakai, Akifumi
    Kawatsu, Masatada
    Kushiro, Noriyuki
    PROCEEDINGS OF 2018 2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND APPLICATIONS (ICGEA), 2018, : 210 - 214
  • [40] Optimal power flow method with consideration of uncertainty sources of renewable energy and demand response
    Zhang, Wenjia
    Peng, Zhuyi
    Wang, Quanquan
    Qi, Wanchun
    Ge, Yi
    FRONTIERS IN ENERGY RESEARCH, 2024, 12