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
  • [31] A Two-Stage Scheduling Optimization Model and Corresponding Solving Algorithm for Power Grid Containing Wind Farm and Energy Storage System Considering Demand Response
    Geng, Kun-long
    Ai, Xin
    Liu, Bin
    INTERNATIONAL CONFERENCE ON APPLIED MECHANICS AND MECHANICAL AUTOMATION (AMMA 2017), 2017, : 139 - 145
  • [32] A two-stage scheduling optimization model and corresponding solving algorithm for power grid containing wind farm and energy storage system considering demand response
    Institute of Energy Economics and Environment, North China Electric Power University, Changping District, Beijing
    102206, China
    不详
    100120, China
    Dianwang Jishu, 5 (1287-1293):
  • [33] Integrated Wind Farm Power Curve and Power Curve Distribution Function Considering the Wake Effect and Terrain Gradient
    Tao, Siyu
    Xu, Qingshan
    Feijoo, Andres
    Kuenzel, Stefanie
    Bokde, Neeraj
    ENERGIES, 2019, 12 (13)
  • [34] Optimal scheduling of power systems considering demand response
    Bie, Zhaohong
    Xie, Haipeng
    Hu, Guowei
    Li, Gengfeng
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2016, 4 (02) : 180 - 187
  • [35] Industrial power load scheduling considering demand response
    Cui, Hongbo
    Zhou, Kaile
    JOURNAL OF CLEANER PRODUCTION, 2018, 204 : 447 - 460
  • [36] Optimal scheduling of power systems considering demand response
    Zhaohong BIE
    Haipeng XIE
    Guowei HU
    Gengfeng LI
    JournalofModernPowerSystemsandCleanEnergy, 2016, 4 (02) : 180 - 187
  • [37] Optimal Stochastic Scheduling of an Energy Hub Considering Thermal Demand Response and Power to Gas Technology
    Alizad, Ehsan
    Rastegar, Hasan
    Hasanzad, Fardin
    2020 28TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2020, : 724 - 730
  • [38] Optimization of wind farm layout considering wake effect and multiple parameters
    Markarian, Shant
    Fazelpour, Farivar
    Markarian, Elin
    ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, 2019, 38 (05)
  • [39] Real-Time Scheduling of Demand Response Options Considering the Volatility of Wind Power Generation
    Talari, Saber
    Shafie-Khah, Miadreza
    Chen, Yue
    Wei, Wei
    Gaspar, Pedro D.
    Catalao, Joao P. S.
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 10 (04) : 1633 - 1643
  • [40] The impact of wind direction on wind farm power output calculation considering the wake effects of wind turbines
    Narain, Aishvarya
    Srivastava, Sudhir Kumar
    Singh, Sri Nivas
    WIND ENGINEERING, 2023, 47 (01) : 74 - 85
12345