冰灾天气下考虑输配协同的电-热联合系统韧性提升策略OA北大核心CSTPCD
Enhancing Resilience in Electric-Heat Combined System:Coordinated Approach for Transmission and Distribution Network During Ice Disasters
严寒地区冬季的极端冰灾天气易给电力设施带来严重危害.同时,随着电-热联合系统的广泛应用,电力设施的故障也会影响到用户供热需求的满足.为保障人们对供电与供热的需求,加强电-热联合系统抵御冰灾天气的能力,文章提出了一种考虑输配协同的电-热联合系统韧性提升方法.首先建立冰灾天气对输电线路影响的综合载荷模型,并利用蒙特卡洛状态抽样法建立输电网的故障场景集.其次,分析输配协同下含光热电站的电-热联合系统组成并构建其运行模型.然后,构建了考虑韧性提升的电-热联合系统的负荷削减模型.最后,利用算例系统验证了所提模型的有效性.结果表明该策略可以兼顾冰灾天气下对系统电、热负荷的需求,对电-热联合系统起到一个较好的韧性提升作用.
Extreme ice-disasters during severe winter conditions in cold areas pose significant risks to basic power facilities,often leading to disruptions in heating services,particularly with the widespread adoption of electric-heat combined systems.To ensure uninterrupted power supply and heating services,alongside enhancing the resilience of electric-heat combined system against ice disaster weather,this study proposes a method that incorporates the coordination of transmission and distribution networks.Initially,a comprehensive load model for ice disaster conditions on transmission lines was established,and a fault scenario within the transmission network was generated using the Monte Carlo state sampling method.Subsequently,the composition and modeling of the electric-heat combined system pertaining to a concentrating solar power station were analyzed.Furthermore,a load-reduction model was constructed concerning the electric-heat combined system considering resilience improvement.Finally,the effectiveness of the proposed model was verified.The results demonstrated that the proposed strategy addresses both electrical and heat load requirements during ice disasters,significantly enhancing the resilience of electric-heat combined systems.
王志伟;王伟;李德鑫;王长江;付麟博;闫佳博
国网吉林省电力有限公司,长春市 130022国网吉林省电力有限公司电力科学研究院,长春市 130021东北电力大学电气工程学院, 吉林省吉林市 132012
动力与电气工程
冰灾天气光热电站输配协同电-热联合系统韧性提升
ice disaster weatherconcentrating solar powercoordination of transmission and distribution networkselectric-heat combined systemresilience improvement
《电力建设》 2024 (005)
9-18 / 10
This work is supported by National Natural Science Foundation of China(No.51877033)and State Grid Jilin Electric Power Co.,Ltd.Research Program(No.B32342210001). 国家自然科学基金项目(51877033);国网吉林公司科技项目(B32342210001)
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