Weather index insurance for wind energy

被引:3
作者
Xiao Han [1 ]
Guoxing Zhang [2 ]
Yixiang Xie [2 ]
Jiaxuan Yin [2 ]
Haiming Zhou [1 ]
Yunxi Yang [3 ]
Junhui Li [1 ]
Wenlei Bai [4 ]
机构
[1] China Electric Power Research Institute
[2] Yingda Taihe Property Insurance Corparation
[3] North China Electric Power University
[4] ABB Enterprise
关键词
New energy sources; Wind power; Weather risk; Wind-power generation index insurance;
D O I
10.14171/j.2096-5117.gei.2019.06.008
中图分类号
TM614 [风能发电];
学科分类号
0807 ;
摘要
As China vigorously promotes the development of new energy, photovoltaic power curtailment and wind power curtailment have been effectively resolved. At the same time, the yield from new energy power generation is becoming an important factor that affects the scale of investment in new energy. This paper focuses on the weather risks faced by wind power producers. By studying current research on weather index insurance in China and abroad, the functions and design methods for weather index insurance have been clarified. In addition, the feasibility of wind-power generation index insurance is discussed. The calculation methods for wind power generation index and the weather index insurance pricing methods for wind power enterprises are proposed. A weather index insurance model for wind power generation was established. The rationality and feasibility of the weather index insurance model proposed in this paper were verified using data from an existing power plant. The simulation results show that wind power enterprises can effectively avoid economic losses caused by weather risks through weather index insurance.
引用
收藏
页码:542 / 549
页数:8
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  • [2] Building a sustainable organizational energy evaluation system in the Asia Pacific
    Edward Vine
    [J]. Global Energy Interconnection, 2019, 2 (05) : 379 - 386
  • [3] Optimal capacity planning of combined renewable energy source-pumped storage and seawater desalination systems
    Boyu Liu
    Bowen Zhou
    Dongsheng Yang
    Zhile Yang
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    [J]. GlobalEnergyInterconnection, 2019, 2 (04) : 310 - 317
  • [4] Scheduling and control co-design for Networked Wind Energy Conversion Systems
    Zhihong Huo
    Zhixue Zhang
    [J]. Global Energy Interconnection, 2019, 2 (04) : 328 - 335
  • [5] Coordinated control of coastal multi-source multi-load system with desalination load: a review
    Ming Zhong
    Lu Jin
    Jiyu Xia
    Ling Cheng
    Peiyu Chen
    Rong Zeng
    [J]. GlobalEnergyInterconnection, 2019, 2 (04) : 300 - 309
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    刘俊
    张晋芳
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    [J]. 中国电力, 2019, 52 (04) : 1 - 7
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    [J]. 可再生能源, 2018, 36 (11) : 1631 - 1637
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    Yuanbing Zhou
    Xing Chen
    Xin Tan
    Changyi Liu
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    Fang Yang
    Wenji Zhou
    Han Huang
    [J]. GlobalEnergyInterconnection, 2018, 1 (04) : 409 - 419
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    高仕斌
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    黄涛
    王涛
    李多
    [J]. 中国电机工程学报, 2018, 38 (17) : 4969 - 4986+5295
  • [10] 兼顾新能源穿透功率和风险的风光火打捆外送电源规划
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    蔡高雷
    马万成
    刘兆霆
    [J]. 电力系统自动化, 2018, 42 (19) : 71 - 76+132