摘要
地下储气库作为调节天然气供需、优化气源配置和保障供气安全的重要设施。传统的储气库应急响应机制常常依赖于各应急机构的经验和判断,缺乏一个系统化、科学化的决策支持方法来确保信息在应急过程中的高效传递,实现应急响应方案的最大收益。对此,提出了一种储气库应急响应优化方法,采用智能体协同响应建模语言,构建了储气库应急响应模型,提出了一种基于深度优先搜索策略的应急响应方案处置收益计算方法,利用收益率作为应急协同方案的鲁棒性指标,确定最优协同响应方案。最后以重庆相国寺储气库应急流程为例开展案例分析,结果表明,相比于原应急方案,最优协同响应方案的响应结束耗时减少38.4%,收益率提高26.61%。结合优化算法后的协同响应方案在缩短耗时、提高处置收益方面效果明显。
Underground gas storage is an important facility for regulating the supply and demand of natural gas,optimising the allocation of gas sources and ensuring the safety of gas supply.The traditional emergency response mechanism for gas storage often relies on emergency response agents' experience and judgement,while there is a lack of a systematic and scientific decision support method to ensure the efficient transfer of information in the emergency response process and maximize the benefits of emergency response scheme.A gas storage reservoir emergency response optimization method was proposed,which constructs a gas storage reservoir emergency response model using the intelligent body cooperative response modeling language.Besides,a method of calculating the disposal benefit of emergency response scheme based on the depth-first search strategy was presented,which determines the optimal cooperative response scheme by using the benefit rate as a robustness indicator of the emergency response cooperative scheme.Finally,taking the emergency response process of Chongqing Xiangguosi Gas Storage Reservoir as an example,a case study was conducted.The results show that compared with the original emergency response scheme,the optimal cooperative response scheme reduces the end-of-response elapsed time by 38.4% and improves the rate of return by 26.61%.The coordinated response scheme combined with the optimisation algorithm is effective in reducing time consumption and increasing disposal yield.
作者
宋旭
龚建华
张来斌
胡瑾秋
金作良
甘冰
吴明远
SONG Xu;GONG Jian-hua;ZHANG Lai-bin;HU Jin-qiu;JIN Zuo-liang;GAN Bing;WU Ming-yuan(Safety,Environmental Protection and Technical Supervision Research Institute,Southwest Oil and Gas Field Company,PetroChina Co.,Ltd.,Chengdu 610041,China;Quality,Safety and Environmental Protection Department,Southwest Oil and Gas Field Company,PetroChina Co.,Ltd.,Chengdu 610000,China;College of Safety and Ocean Engineering,China University of Petroleum(Beijing),Beijing 102249,China;Key Laboratory of Oil and Gas Safety and Emergency Technology,Ministry of Emergency Management,Beijing 102249,China;China Petroleum and Natural Gas Co.,Ltd.,Oil and Gas and New Energy Branch,Gas Storage Branch Production Safety Department,Beijing 102200,China)
出处
《科学技术与工程》
北大核心
2024年第26期11481-11489,共9页
Science Technology and Engineering
基金
中国石油集团公司科技课题(2021DJ6505)
国家自然科学基金(52074323)。
关键词
地下储气库
智能体协同响应建模语言
应急响应
优化算法
underground gas storage
intelligent body cooperative response modelling language
emergency response
optimization algorithms
