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投稿时间：2019-06-22
投稿时间：2019-06-22
中文摘要: 针对浙江电网公司转型现代综合能源服务企业背景,结合风险管理理论,提出了基于故障树分析与突变级数法的电网公司综合能源服务风险管理方法。首先,基于电网公司综合能源服务的3类边界层,进行全面风险影响因素分析,识别风险源及影响机理,开展了基于故障树分析的风险识别研究;其次,基于突变级数法,建立了电网公司综合能源服务风险评估模型;最后,针对各个风险指标,开展电网公司综合能源服务风险响应研究,提出了相应的风险应对措施。
Abstract:Based on the background of transformation of Zhejiang Power Grid Companies into modern integrated energy service enterprise and the risk management theory system,this paper proposes a comprehensive energy service risk management method for power grid companies based on fault tree analysis and catastrophe model.Firstly,based on the three types of boundary layers of the integrated energy service of the grid company,the comprehensive risk influencing factors are analyzed,the risk sources and the influencing mechanism are identified,and the risk identification research based on fault tree analysis is carried out.Secondly,based on the catastrophe method,the comprehensive energy service risk assessment model of the grid company is established.Finally,according to each risk indicator,the risk response research of the integrated energy service of the power grid company is carried out,and the risk response measures that can be taken are put forward.
keywords: fault tree analysis catastrophe model power grid company comprehensive energy service risk management
文章编号：20202001 中图分类号：TM712;F426 文献标志码：
基金项目:国家自然科学基金（51806135）。
| 作者 | 单位 | |
| 应雨龙 | 上海电力大学 | |
| 何家振 | 上海电力大学 上海申能崇明发电有限公司 | Hejiazhen1027@163.com |
| 徐思雨 | 上海电力大学 | |
| 胡伟晨 | 上海电力大学 |
引用文本：
应雨龙,何家振,徐思雨,等.基于故障树分析与突变级数法的电网公司综合能源服务风险管理[J].上海电力大学学报,2020,36(2):99-104,130.
YING Yulong,HE Jiazhen,XU Siyu,et al.Grid Company Integrated Energy Service Risk Management Based on Fault Tree Analysis and Catastrophe Model[J].Journal of Shanghai University of Electric Power,2020,36(2):99-104,130.
应雨龙,何家振,徐思雨,等.基于故障树分析与突变级数法的电网公司综合能源服务风险管理[J].上海电力大学学报,2020,36(2):99-104,130.
YING Yulong,HE Jiazhen,XU Siyu,et al.Grid Company Integrated Energy Service Risk Management Based on Fault Tree Analysis and Catastrophe Model[J].Journal of Shanghai University of Electric Power,2020,36(2):99-104,130.