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P2G容量双层优化配置[J].电力系统自动化. DOI: 10.7500/AEPS20170713011.
XU Zhiheng,ZHANG Yongjun,CHEN Zexing, et al.The Bi-level Optimal Configuration for P2G Facilities Considering Operation Strategy and Investment Subject Benefit[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20170713011.
考虑运行策略和投资主体利益的P2G容量双层优化配置
The Bi-level Optimal Configuration for P2G 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  integrated natural gas and electricity system  conditional value at risk  bi-level optimal configuration
上网日期:2018-02-11
基金项目:中国工程院重大咨询项目
作者单位E-mail
许志恒 华南理工大学电力学院 1779496063@qq.com 
张勇军 华南理工大学电力学院 zhangjun@scut.edu.cn 
陈泽兴 华南理工大学电力学院 690726374@qq.com 
林晓明 华南理工大学电力学院 411833214@qq.com 
陈伯达 华南理工大学电力学院 919046909@qq.com 
摘要:
      电转气(Power to Gas, 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。利用条件风险价值(Conditional Value at Risk, CVaR)理论,本文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IEEE39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。#$NL关键词: 电转气; 电-气互联系统; 条件风险价值; 双层规划
Abstract:
      As the development of P2G, the coupling between the power grid and natural gas network become closer and closer, which will make the large-scale interconnection between two energy systems comes true. Based on the theory of CVaR, operational risk and cost of integrated natural gas and electricity system which is caused by wind power uncertainty is analyzed. Considering two independent stakeholders composed by wind power enterprise and integrated natural gas and electricity system, this paper proposed a bi-level optimal configuration model for P2G facilities which takes the maximal profit of wind power enterprise and the minimum total cost of integrated natural gas and electricity system as the objectives of upper and lower level. The proposed model is solved by a hybrid approach based on genetic-catastrophic algorithm and interior point method. The simulated system consisted of the IEEE-39 bus electric network and the Belgian 20 bus gas network is applied to verify the feasibility of increasing wind power accommodation and decreasing the risk of wind power spillage in simulated system with embedded P2G. Furthermore, the influence of confidence coefficient and risk cost coefficient of wind power spillage on P2G configuration strategy and system operation.#$NLKeywords: Power to Gas; integrated natural gas and electricity system; conditional value at risk; bi-level optimal configuration
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