Demand Response Risk Based Stochastic Power System Scheduling Considering Wind Farm Wake Effect

被引：0
|
作者：
Chen, J. J. [1 ]
Zhao, Y. L. [1 ]
机构：
[1] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo, Peoples R China
来源：
2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2017年
基金：
国家重点研发计划;
关键词：
Demand response risk; stochastic optimal power flow; wind farm; wake effect; INTERVAL OPTIMIZATION; ECONOMIC-DISPATCH; MODEL; FLOW;
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：
With the increasing wind farm connected to power system, there is a growing need to study the stochastic power system scheduling (SPSS). This paper proposes a demand response risk based SPSS (DRRbSPSS) framework for quantifying the uncertainty of wind farm from the perspective of economic return and economic risk. In addition, the wake effect is derived by the Jensen model to estimate the wind farm power distribution. Then, an optimization algorithm, evolutionary predator and prey strategy (EPPS) is applied to obtain the optimal trade-off solution. Simulation results based on the modified IEEE 30-bus system prove the effectiveness and applicability of the proposed framework.
引用
收藏
页数：6
相关论文
共 50 条
  • [41] Model Predictive Control Based Power Scheduling of Offshore Wind Farm for Primary Frequency Support Considering Turbulent Wind Uncertainty
    Li, Qiang
    Wang, Chenggen
    Li, Qun
    2023 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA, I&CPS ASIA, 2023, : 1399 - 1404
  • [42] An Integrated Power Smoothing Control for a Grid-Interactive Wind Farm Considering Wake Effects
    Howlader, Abdul Motin
    Senjyu, Tomonobu
    Saber, Ahmed Yousuf
    IEEE SYSTEMS JOURNAL, 2015, 9 (03): : 954 - 965
  • [43] A new stochastic framework for optimal generation scheduling considering wind power sources
    Tabatabaei, Sajad
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2014, 26 (03) : 1571 - 1579
  • [44] An Optimal Dispatch Model of Wind-Integrated Power System Considering Demand Response and Reliability
    Xu, Qingshan
    Ding, Yifan
    Zheng, Aixia
    SUSTAINABILITY, 2017, 9 (05):
  • [45] Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response
    Luo, Yuanxiang
    Hao, Haixin
    Fan, Lidong
    IET RENEWABLE POWER GENERATION, 2024, 18 (16) : 4210 - 4221
  • [46] A Clustering-Based Approach for Wind Farm Placement in Radial Distribution Systems Considering Wake Effect and a Time-Acceleration Constraint
    Sadeghian, Omid
    Oshnoei, Arman
    Tarafdar-Hagh, Mehrdad
    Kheradmandi, Morteza
    IEEE SYSTEMS JOURNAL, 2021, 15 (01): : 985 - 995
  • [47] Wake Control of Wind Farm Based on Model Predictive Control Considering Propagation Delay
    Wei S.
    Xu C.
    Yan J.
    Zhao Z.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2024, 44 (05): : 1813 - 1822
  • [48] Strategic Maintenance Scheduling of an Offshore Wind Farm in a Deregulated Power System
    Mazidi, Peyman
    Tohidi, Yaser
    Sanz-Bobi, Miguel A.
    ENERGIES, 2017, 10 (03):
  • [49] Simulation of Power System in Cape Verde with Simulink® considering Wind Farm
    Teixeira, Luis
    Zhang, Yu
    Kang, Yong
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [50] Multi-objective economic dispatch of power system with wind farm considering flexible load response
    Zhang, Xiaohui
    Han, Ziyue
    Zhao, Cuimei
    Zhong, Jiaqing
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2021, 45 (06) : 8735 - 8748
12345