Optimal Dispatch Considering the Ability of Active Power Control of Wind Farms

被引:0
|
作者
Wang, Wei [1 ]
Jin, Guogang [1 ]
Wang, Ying [2 ]
Xu, Yanping [2 ]
Zhang, Kaifeng [2 ]
机构
[1] Gansu Elect Power Corp, Lanzhou, Peoples R China
[2] Southeast Univ, Sch Automat, Key Lab Measurement & Control CSE, Nanjing, Jiangsu, Peoples R China
关键词
wind power; active power control; forecast error distribution; optimal dispatch; particle swarm optimization (PSO); REQUIREMENTS; SYSTEMS;
D O I
10.1109/IMCCC.2013.327
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wind power plants have ability to control the wind power output within a certain range. Considering the ability of active power control of wind farms, the wind power forecast will be more accurate. In this paper, a statistical model for wind power forecast distribution considering the wind farm active control is established. Then, based on the wind forecast error model proposed, an optimal dispatch model is formulated. An improved particle swarm optimization (PSO) algorithm is proposed to solve this problem. The case study shows that considering the ability of wind power control, the reserve requirement will be reduced and the operation cost will be decreased.
引用
下载
收藏
页码:1467 / 1472
页数:6
相关论文
共 50 条
  • [1] Coordinated optimal control of active power of wind farms considering wake effect
    Shen, Yu
    Xiao, Tannan
    Lv, Qifeng
    Zhang, Xuemin
    Zhang, Yangfan
    Wang, Yimei
    Wu, Jinfang
    ENERGY REPORTS, 2022, 8 : 84 - 90
  • [2] Optimal power dispatch strategy of onshore wind farms considering environmental impact
    Wu, Xiawei
    Hu, Weihao
    Huang, Qi
    Chen, Cong
    Liu, Zhou
    Chen, Zhe
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 116
  • [3] Active power dispatch optimization for offshore wind farms considering fatigue distribution
    Liao, Hao
    Hu, Weihao
    Wu, Xiawei
    Wang, Ni
    Liu, Zhou
    Huang, Qi
    Chen, Cong
    Chen, Zhe
    RENEWABLE ENERGY, 2020, 151 : 1173 - 1185
  • [4] Optimal Reactive Power Dispatch Control Considering Uncertain Wind Power
    Li, Yuanzheng
    Wang, Ping
    Gooi, Hoay Beng
    Liu, Yun
    Ye, Jian
    2017 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES (ICRAS), 2017, : 103 - 107
  • [5] A New Method for Active Power Dispatch in Wind Farms
    Bie, Zhaohong
    An, Jiakun
    Xie, Haipeng
    He, Xuwei
    INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014, 2014, 61 : 747 - 750
  • [6] Fatigue Load Sensitivity-Based Optimal Active Power Dispatch For Wind Farms
    Zhao, Haoran
    Wu, Qiuwei
    Huang, Shaojun
    Shahidehpour, Mohammad
    Guo, Qinglai
    Sun, Hongbin
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2017, 8 (03) : 1247 - 1259
  • [7] Short-term optimal dispatch considering uncertainty cost for power system with wind farms
    Qu, Zhengwei
    Wang, Jingbo
    Zhang, Kun
    Wang, Yunjing
    Zheng, Lei
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2016, 36 (04): : 137 - 144
  • [8] Active Power Dispatch for Supporting Grid Frequency Regulation in Wind Farms Considering Fatigue Load
    Liu, Yingming
    Wang, Yingwei
    Wang, Xiaodong
    Zhu, Jiangsheng
    Lio, Wai Hou
    ENERGIES, 2019, 12 (08)
  • [9] Optimal Reactive Power Dispatch Considering Wind Turbines
    Jin, Xiaoming
    Zhang, Cong
    Chen, Haoyong
    Xu, Xuanhao
    2014 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (IEEE PES APPEEC), 2014,
  • [10] Stochastic Optimal Dispatch Of Power System With Multiple Wind Farms
    Wang, Shuang
    Yang, Hongming
    Zuo, Shuang
    Xu, Wenjun
    Zhang, Bin
    SMART MATERIALS AND INTELLIGENT SYSTEMS, PTS 1 AND 2, 2011, 143-144 : 414 - +