电力系统自动化2018，Vol.42Issue(13)：76-84,9.DOI:10.7500/AEPS20170713011
考虑运行策略和投资主体利益的电转气容量双层优化配置
Bi-level Optimal Capacity Configuration for Power to Gas Facilities Considering Operation Strategy and Investment Subj ect Benefit
摘要
Abstract
As the development of power to gas (P2G) technology,the coupling between the power grid and the natural gas network become closer and closer.It is possible to achieve large-scale interconnection between these two energy systems.Based on the theory of conditional value at risk(CVaR),this paper analyzes the operational risk and cost of the integrated natural gas and electricity system caused by wind power uncertainty.Considering the two independent stakeholders composed by the wind power enterprise and the integrated natural gas and electricity system, this paper proposes a bi-level optimal capacity configuration model for P2G facilities.In this model,the objective of upper level is the maximal profit of wind power enterprise,and that of the lower level is the minimum total cost of integrated natural gas and electricity system.Then the proposed model is solved by a hybrid approach based on the genetic-catastrophic algorithm and the interior point method.The simulation system consists of an IEEE 39-bus system and a Belgian 20-bus gas network.The feasibility of configuring P2G facilities to increase the wind power accommodation and decrease the risk of abandoning wind power is verified.Furthermore, the influences of confidence coefficient and cost coefficient for risk of abandoning wind power on P2G configuration strategy and system operation are analyzed.关键词
电转气/电-气互联系统/条件风险价值/双层规划Key words
power to gas (P2G)/integrated natural gas and electricity system/conditional value at risk (CVaR)/bi-level programming引用本文复制引用
许志恒,张勇军,陈泽兴,林晓明,陈伯达..考虑运行策略和投资主体利益的电转气容量双层优化配置[J].电力系统自动化,2018,42(13):76-84,9.基金项目
国家自然科学基金资助项目(51777077) （51777077）
广东省自然科学基金资助项目(2017A030313304). This work is supported by National Natural Science Foundation of China (No.51777077) and Guangdong Provincial Natural Science Foundation of China(No.2017A030313304). （2017A030313304）
