文章摘要
徐 瑶,杨成慧,包淑慧,王 辉,王腾飞.引入保险机制的售电公司交易决策优化[J].电力需求侧管理,2021,23(6):41-46
引入保险机制的售电公司交易决策优化
Optimisation of power retailer trading decision under power IoT environment
投稿时间:2021-07-01  修订日期:2021-09-27
DOI:10. 3969 / j. issn. 1009-1831. 2021. 06 . 009
中文关键词: 价格风险  市场保险  售电公司  保险策略  风险转移  风险分散
英文关键词: price risk  market insurance  power retailer  insurance strategy  rise transfer  risk diversification
基金项目:上海市哲学社会科学规划一般课题(2020BGL011)
作者单位
徐 瑶 国网江苏省电力有限公司 盐城供电分公司江苏 盐城 224000 
杨成慧 国网江苏省电力有限公司 盐城供电分公司江苏 盐城 224000 
包淑慧 国网江苏省电力有限公司 盐城供电分公司江苏 盐城 224000 
王 辉 上海电力大学 经济与管理学院上海 200090 
王腾飞 南瑞集团有限公司(国网电力科学研究院)南京 211106国电南瑞科技股份有限公司南京 211106 
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中文摘要:
      电力物联网的建设形成了实时的电力市场主信息采集库,为整个电力市场提供决策辅助和主动服务。电力物联网环境下,针对电力市场中电价的高度波动性给售电公司带来的巨大收益损失风险,提出一种基于市场保险的电价波动保险机制。首先,搭建了市场保险下电力市场交易架构,厘清各市场主体之间的相互关系并阐述了市场保险的原理及业务流程。其次,通过对售电公司与保险公司成本效益定量评估,构建了售电公司投保及保险公司保险设计决策模型。最 后,结合广东省售电公司市场运营的具体案例,论证保险机制转移和分散售电公司经营风险的可实现性及应用价值。结果表明所提保险机制能够有效地分散和转移电价波动风险,实现售电公司与保险公司的双赢。
英文摘要:
      The construction of the power Internet of Things(IoT)forms a real -time power market main information collection library, which provides decision-making assistance and active service to the whole power market. According to the fast fluctuation of electricity price, which makes the power retailers being taken the risks of losing profit under power IoT environment. A market insurance mechanism based on electricity price fluctuation insurance is proposed. Firstly, the electricity trading market structure based on market insurance is established, and the complex relationship between the main trading subjects is clarified. Secondly, the optimal insurance strategy of power retailers and insurance design strategy of the insurance companies are forward though the quantitative evaluation of the cost profit. Finally, a case of the market operation of power retailers in Guangdong province demonstrates the realizability and application value of the insurance mechanism transfer and the diversification of the operating risk of power retailers, which show that the proposed insurance mechanism can effectively disperse and transfer the risk of electricity price fluctuation, and reach win-win situation between power retailers and insurance companies.
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