文章摘要
许志恒,张勇军,陈泽兴,等.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. DOI: 10.7500/AEPS20170713011.
XU Zhiheng,ZHANG Yongjun,CHEN Zexing, et al.Bi-level Optimal Capacity Configuration for Power to Gas Facilities Considering Operation Strategy and Investment Subject Benefit[J].Automation of Electric Power Systems,2018,42(13):76-84. 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 Subject Benefit
DOI:10.7500/AEPS20170713011
关键词: 电转气  电—气互联系统  条件风险价值  双层规划
KeyWords: power to gas(P2G)  integrated natural gas and electricity system  conditional value at risk(CVaR)  bi-level programming
上网日期:2018-02-11
基金项目:国家自然科学基金资助项目(51777077);广东省自然科学基金资助项目(2017A030313304)
作者单位E-mail
许志恒 广东省绿色能源技术重点实验室, 华南理工大学电力学院, 广东省广州市 510640  
张勇军 广东省绿色能源技术重点实验室, 华南理工大学电力学院, 广东省广州市 510640 zhangjun@scut.edu.cn 
陈泽兴 广东省绿色能源技术重点实验室, 华南理工大学电力学院, 广东省广州市 510640  
林晓明 广东省绿色能源技术重点实验室, 华南理工大学电力学院, 广东省广州市 510640  
陈伯达 广东省绿色能源技术重点实验室, 华南理工大学电力学院, 广东省广州市 510640  
摘要:
      电转气(P2G)技术的日益成熟,促进了电网和天然气网间的耦合,使两者间实现大规模互联成为可能。文中利用条件风险价值(CVaR)理论,对风电不确定性给电—气互联系统带来的运行风险及其成本进行了分析。在计及风力发电企业和电—气互联系统两个利益主体后,构建了P2G设备容量配置双层规划模型,以风力发电企业净利润作为上层目标,电—气互联系统运行成本为下层目标。并通过基于灾变遗传算法和内点法的混合求解算法进行仿真求解。利用IEEE 39节点电网和修改的比利时20节点天然气网组成的仿真系统,验证了配置P2G设备来提高风电消纳率和降低系统弃风风险的可行性。并进一步对比分析了置信度和弃风风险成本系数对P2G配置策略及系统运行的影响。
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.
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