Model and strategy for multi-time scale coordinated flexible load interactive scheduling

被引：0
|
作者：
Yang, Shengchun [1 ]
Liu, Jiantao [2 ]
Yao, Jianguo [2 ]
Ding, Hongfa [1 ]
Wang, Ke [2 ]
Li, Yaping [2 ]
机构：
[1] School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan,Hubei Province,430074, China
[2] China Electric Power Research Institute, Nanjing,Jiangsu Province,210003, China
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2014年 / 34卷 / 22期
关键词：
It shows a huge potential for demand side resources to participate in active power balance so as to improve the system capability of accommodating renewable generation; but it also brings additional complexity in system power balance control. Based on the contrastive analysis of wind power prediction error and the corresponding regulation ability of power grid in different time scales; a multi-time scale coordinated flexible load interaction response scheduling (FLIRS) was proposed. Firstly; an overall technical framework based on the principle of multi-level coordination and incremental refinement was presented. Load scheduling and regulation was divided into four time scales; i. e. a day-ahead 24-hour scheduling; an intra-day 1-hour scheduling; a 15-minute dispatch and a real-time dispatch. Secondly; several core models were built; including wind power prediction model considering uncertainty; multi-agent system (MAS) decision-making model and load dispatching control center decision model. Then; based on these models; a multi-time scale source-load coordination control strategy was established; and the load adjustment calculation method considering the uncertainty of wind power was also given. Finally; simulation results on a regional power grid show that the designed load scheduling models and strategies can fully take advantage of the flexibility of demand side resources at different time scales effectively. It will be beneficial for stabilizing wind power fluctuation and intermittence; as well as reducing system spinning reserve. © 2014 Chinese Society for Electrical Engineering;
D O I：
10.13334/j.0258-8013.pcsee.2014.22.011
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：3664 / 3673
相关论文
共 50 条
  • [1] Multi-time Scale Coordinated Voltage Control Strategy in an Islanded Microgrid
    Yang, Xiangzhen
    Deng, Wanwan
    Duan, Mengke
    Du, Yan
    Su, Jianhui
    IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 7801 - 7806
  • [2] Multi-time Scale Coordinated Operation Strategy of Virtual Power Plant Clusters Considering Power Interactive Sharing
    Liu F.
    Xu Y.
    Yang X.
    Li L.
    Fu G.
    Chai Z.
    Dianwang Jishu/Power System Technology, 2022, 46 (02): : 642 - 654
  • [3] Multi-time Scale Coordinated Optimal Scheduling for Power Balance Capability Enhancement
    Li, Lili
    Chang, Li
    Cao, Rongzhang
    Wu, Bingxiang
    Xiang, Zhongming
    Zhang, Si
    2022 12TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS, ICPES, 2022, : 326 - 330
  • [4] Multi-time Scale Simulation of Optimal Scheduling Strategy for Virtual Power Plant Considering Load Response
    Chao, Huang
    Quan, Ding
    Yang, Tong
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 2142 - 2148
  • [5] Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage
    Tang, Yi
    Liu, Yuqian
    Ning, Jia
    Zhao, Jingbo
    ENERGIES, 2017, 10 (11):
  • [6] A multi-time scale coordinated control and scheduling strategy of EVs considering guidance impacts in multi-areas with uncertain RESs
    Li, Zekun
    Sun, Yi
    Yang, Hongyue
    Wang, Shiwei
    Shen, Yaqi
    Wang, Xianchun
    Zhang, Kai
    Anvari-Moghaddam, Amjad
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 154
  • [7] Multi-time scale optimization scheduling of microgrid considering source and load uncertainty
    Hou, Jianmin
    Yu, Weijie
    Xu, Zhihao
    Ge, Quanbo
    Li, Zhi
    Meng, Ying
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 216
  • [8] Multi-time scale scheduling strategy for source-load coordination considering demand response block participation
    Qi, Jianghao
    Li, Fengting
    Zhang, Gaohang
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (11): : 61 - 69
  • [9] Scheduling Strategy of Wind Penetration Multi-source System Considering Multi-time Scale Source-load Coordination
    Cui Y.
    Zhang J.
    Zhong W.
    Wang Z.
    Zhao Y.
    Dianwang Jishu/Power System Technology, 2021, 45 (05): : 1828 - 1836
  • [10] A novel model predictive control strategy for multi-time scale optimal scheduling of integrated energy system
    Hu, Keyong
    Wang, Ben
    Cao, Shihua
    Li, Wenjuan
    Wang, Lidong
    ENERGY REPORTS, 2022, 8 : 7420 - 7433
12345