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1.输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆市 400044
2.国网重庆市电力公司电力科学研究院,重庆市 401120
3.国网新疆电力有限公司电力科学研究院,新疆维吾尔自治区乌鲁木齐市 830011
何雨霏(1998—),女,硕士研究生,主要研究方向:能源系统的优化调度。
王伟(1993—),男,博士,主要研究方向:电力系统弹性与优化调度。E-mail:ww0326@outlook.com
熊小伏(1962—),男,通信作者,博士,博士生导师,主要研究方向:电力系统继电保护与优化运行。E-mail:cquxxf@vip.sina.com
收稿:2022-09-16,
修回:2022-12-01,
网络出版:2023-03-21,
纸质出版:2023-07-25
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何雨霏,王伟,熊小伏等.提升电-气互联能源系统弹性的应急资源灾前协同调度策略[J].电力系统自动化,2023,47(14):21-32.
HE Yufei,WANG Wei,XIONG Xiaofu,et al.Pre-disaster Collaborative Dispatch Strategy of Emergency Resources for Resilience Enhancement of Electricity-Gas Interconnected Energy System[J].Automation of Electric Power Systems,2023,47(14):21-32.
何雨霏,王伟,熊小伏等.提升电-气互联能源系统弹性的应急资源灾前协同调度策略[J].电力系统自动化,2023,47(14):21-32. DOI: 10.7500/AEPS20220916001.
HE Yufei,WANG Wei,XIONG Xiaofu,et al.Pre-disaster Collaborative Dispatch Strategy of Emergency Resources for Resilience Enhancement of Electricity-Gas Interconnected Energy System[J].Automation of Electric Power Systems,2023,47(14):21-32. DOI: 10.7500/AEPS20220916001.
多能协同互济的综合能源利用趋势使得能源系统之间变得更加互联相依。在极端天气来临前,主动对应急资源进行优化调度部署,能够极大程度减少极端天气对互联能源系统造成的冲击、提升能源系统的弹性水平。为此,以典型的电-气互联能源系统为对象,提出了一种应急资源灾前协同调度策略。首先,根据灾害预测信息计算线路的失效风险,筛选待决策集合,建模固定/移动发电机、移动储气罐、燃气管网三者间的燃料交换过程。然后,以灾后电、气负荷供应程度最大化为目标,文中建立了考虑线路加固、固定/移动发电机、移动储气罐灾前协同调度的数学优化模型,并通过对天然气网络的非凸管网约束进行凸松弛处理,实现了高效求解。最后,结合算例验证了所提方法的有效性。
The trend of multi-energy coordination and mutual assistance of integrated energy utilization makes energy systems more interconnected and interdependent. By taking the initiative to optimize the dispatch and deployment of emergency resources before extreme weather
the impact of extreme weather on interconnected energy systems (IESs) can be greatly reduced and the resilience level of energy systems can be improved. To this end
a pre-disaster collaborative dispatch strategy of emergency resources is proposed for a typical electricity-gas IES. First
the failure risk of lines is calculated based on disaster prediction information
the set to be decided is screened
and the fuel exchange process among fixed/mobile generators
mobile gas storage tanks and gas pipeline network is modeled. Then
with the objective of maximizing the degree of electricity and gas load supply after the disaster
this paper establishes a mathematical optimization model considering the pre-disaster collaborative dispatch of line reinforcement
fixed/mobile generators and mobile gas storage tanks. The efficient solution is achieved by convex relaxation of the non-convex pipe network constraints of the natural gas network. Finally
the effectiveness of the proposed method is verified by cases.
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