Peak Load Shifting Control for a Rural Home Hotel Cluster Based on Power Load Characteristic Analysis

被引:0
|
作者
Li, Weilin [1 ,2 ]
Liang, Yonghui [2 ]
Wang, Jianli [1 ]
Lin, Zhenhe [3 ]
Li, Rufei [2 ]
Tang, Yu [1 ]
机构
[1] Huadian Zhengzhou Mech Design Inst Co Ltd, Zhengzhou 450001, Peoples R China
[2] Zhengzhou Univ, Sch Hydraul & Civil Engn, Zhengzhou 450000, Peoples R China
[3] China Univ Petr, Sch Mech & Storage & Transportat Engn, Beijing 102249, Peoples R China
关键词
load data analysis; demand side management (DSM); rural home hotels; cluster control strategy; PCM storage; PHASE-CHANGE MATERIALS;
D O I
10.3390/pr11030682
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The large-scale rural home hotel clusters have brought huge pressure to the rural power grid. However, the load of rural home hotels not only has the inherent characteristics of rural residential buildings but is also greatly impacted by the occupancy rate, which is very different from conventional buildings. Therefore, the existing peak shifting strategies are difficult to apply to rural home hotels. In view of the above problems, this study took a typical visitor village in Zhejiang Province as the research object, which had more than 470 rural home hotels. First, through a basic information survey and power load data collection, the characteristics of its power load for heating, cooling and transition months were studied, and a "No Visitors Day" model was proposed, which was split to obtain the seasonal load curve for air conditioning. Then, combined with the characteristics of the air conditioning power load and the natural conditions of the rural house, a cluster control peak-load-shifting system using phase change energy storage was proposed, and the system control logic was determined and established. Finally, the collected power load data was brought into the model for actual case analysis to verify its feasibility and the effect of peak-load shifting. The results showed that due to the influence of the number of tourists, the electricity loads on weekends and holidays were higher, especially the electricity load of air conditioning equipment in the heating and cooling seasons. An actual case was simulated to verify the peak-shifting effect of the proposed regulation strategy; it was found that the maximum peak load of the cluster was reduced by 61.6%, and the peak-valley difference was 28.6% of that before peak shifting.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Load-Damping Characteristic Control Method in an Isolated Power System With Industrial Voltage-Sensitive Load
    Liao, Siyang
    Xu, Jian
    Sun, Yuanzhang
    Gao, Wenzhong
    Ma, Xi-Yuan
    Zhou, Mi
    Qu, Yinpeng
    Li, Xiaomin
    Gu, Junhe
    Dong, Jianxun
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (02) : 1118 - 1128
  • [42] Peak shaving potential analysis of distributed load virtual power plants
    Xu, Helin
    Cheng, Lin
    Qi, Ning
    Zhou, Xuyan
    [J]. ENERGY REPORTS, 2020, 6 : 515 - 525
  • [43] Selection of Suitable Strategy with Peak Load Shifting based DSM Strategy of Standalone Integrated Renewable Energy System for a Remote Rural Area
    Rajanna, S.
    Saini, R. P.
    [J]. PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016), 2016,
  • [44] Peak load management based on hybrid power generation and demand response
    Yu, Dongmin
    Liu, Huanan
    Bresser, Charis
    [J]. ENERGY, 2018, 163 : 969 - 985
  • [45] LSTM Power Load Peak Prediction Method Based on Bayesian Network
    Sun, Liyuan
    Ai, Yuan
    Zhang, Yiming
    Ren, Jianyu
    [J]. Engineering Intelligent Systems, 2024, 32 (02): : 149 - 158
  • [46] Peak demand control in commercial buildings with target peak adjustment based on load forecasting
    Hoffman, AJ
    [J]. PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2, 1996, : 1292 - 1296
  • [47] Characteristic analysis of peak load in electricity on large scale hotels considering the energy efficiency
    [J]. 1600, Science and Engineering Research Support Society (08):
  • [48] CONTROL OF A TURBINE WITH 2 STEAM EXTRACTIONS FOR A PEAK LOAD POWER-STATION
    VOLYNSKII, MM
    KARLINER, VM
    LEZMAN, VI
    [J]. THERMAL ENGINEERING, 1980, 27 (10) : 566 - 568
  • [49] A Short-Term Power Load Prediction Algorithm of Based on Power Load Factor Deep Cluster Neural Network
    Sun, Hongbin
    Pan, Xin
    Meng, Changxin
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2018, 102 (02) : 1073 - 1084
  • [50] Mean Field Based Control of Power System Dispersed Energy Storage Devices for Peak Load Relief
    Kizilkale, Arman C.
    Malhame, Roland P.
    [J]. 2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 4971 - 4976