中国农业气象 ›› 2025, Vol. 46 ›› Issue (01): 48-61.doi: 10.3969/j.issn.1000-6362.2025.01.005

• 农业气象保险专刊 • 上一篇    下一篇

海上风电发电量指数保险设计

姚森,薛霖,马腾飞,孙楠,朱杰   

  1. 1.中国气象科学研究院&中再巨灾风险管理股份有限公司·气象风险与保险联合开放实验室,北京 100081;2.云南财经大学金融学院,昆明 650221
  • 收稿日期:2024-03-27 出版日期:2025-01-20 发布日期:2025-01-17
  • 作者简介:姚森,E-mail:yaosen@stu.ynufe.edu.cn
  • 基金资助:
    气象风险与保险联合开放实验室开放基金项目(2023F010;2024F002);国家自然科学基金青年项目(42005141);“兴滇英才支持计划”青年项目;云南省基础研究计划青年项目(202001AU070089);云南省重点研发计划项目(202203AC100003);云南财经大学科学研究基金项目(2024D07);教育部人文社会科学规划青年项目(24YJCZH269)

Index Insurance Design for Offshore Wind Power Generation

YAO Sen, XUE Lin, MA Teng-fei, SUN Nan, ZHU Jie   

  1. 1. Chinese Academy of Meteorological Sciences and China Re-catastrophe Risk Management Company Joint Open Lab on Meteorological Risk and Insurance, Beijing 100081, China; 2.School of Finance, Yunnan University of Finance and Economics, Kunming 650221
  • Received:2024-03-27 Online:2025-01-20 Published:2025-01-17

摘要:

中国发展海上风电面临风速偏小导致发电量减少的风险,给运营及投资方带来损失。本研究基于ERA5风场数据,评估中国近海风资源波动风险,设计海上风电发电量指数保险,并检验其效果。结果表明:(1)中国近海风资源以台湾海峡最高,东海及南海开阔海域优于渤海湾及北部湾区,且秋、冬季较春、夏季更为丰富。(2近海风资源偏小事件的发生率随时间呈上升趋势。东海南部和台湾海峡发生频率最高,并由开阔海域向陆地逐渐减小,南海北部由西向东逐渐增大。波动强度在近海各岛屿的西侧较大。(3)发电量下行波动风险以台湾海峡最高,南海东北部和北部湾次之,黄海及东海北部、东海南部和南海西北部最小。(4)海上风电发电量指数保险以月实际发电量为指数,可有效反映风资源的月尺度差异,根据超越概率设置不同的月赔付触发阈值,提供不同风险保障程度的保险方案。费率厘定中考虑了管理低频高损事件风险所增加的保险成本及不同地域间的风险差异。月赔付触发电量取959390超越概率水平时,其保障程度自低到高,对应的保险费率分别为7.045%7.384%8.685%。该保险产品可通过损失补偿及提高收入下限,稳定风电场收益,有效管理风资源波动风险。

关键词: 海上风电, 发电量波动, 指数保险, 保险产品设计, 费率厘定

Abstract:

The development of offshore wind power in China is at risk of generating less power due to low wind speeds, resulting in losses for operating and investors. Based on ERA5 wind field data, this study first assesses fluctuation risk in China's offshore wind resources, and then designs an offshore wind power generation index insurance product. Results showed that: (1) the wind resources for offshore China were most abundant in the Taiwan Strait. It was more abundant in the open areas of the East China Sea and the South China Sea than in the Bohai Bay and the Beibu Gulf. Wind resources were more plentiful in the autumn and winter than in the spring and summer. (2) There was an increasing trend in the occurrence of small offshore wind resource events over time. The fluctuation rate was highest in the south of the East China Sea and the Taiwan Strait. It gradually decreased from the open sea to the land, and gradually increased from west to east in the northern part of the South China Sea. The intensity of the fluctuations was greater on the western side of the islands in the offshore region. (3) The risk of downward fluctuation in power generation was highest in the Taiwan Strait, followed by the northeastern South China Sea and the Beibu Gulf. The Yellow Sea, the northern and southern parts of East China Sea, and the northwestern part of South China Sea were at the lowest at risk. (4) The offshore wind power generation index insurance used actual monthly power generation as the index, effectively capturing the monthly differences in wind resources. It offered insurance plans with different levels of risk protection by setting different payout trigger thresholds based on the probability of default. The pricing accounts for the additional insurance cost arising from managing the risk of low−frequency, high−loss events, as well as regional risk variations. The corresponding premium rates were 7.045%, 7.384% and 8.685% when the monthly payout trigger thresholds were set at 95%, 93% and 90% of the exceedance probability level, respectively. This insurance can stabilize wind farm revenues by compensating losses and improving the revenue floor, effectively managing the risk of wind resource variability.

Key words: Offshore wind power, Fluctuation of power generation, Index insurance, Insurance product design, Insurance product pricing