Cooperative operation optimization of natural gas pipeline network and underground gas storage: economic scheduling and low-carbon control

IF 4.6 0 ENERGY & FUELS
Jinghong Peng, Longyu Chen, Guangchuan Liang, Jun Zhou, Zichen Li, Can Qin, Shitao Liu
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Abstract

With the growth in natural gas consumption and the implementation of the “Dual Carbon” policy, supply-demand balance and low-carbon management of natural gas pipeline network (NGPN) system are facing important challenges. This paper established a comprehensive economic and environmental optimization model of NGPN system integrating the structural and hydraulic characteristics of underground gas storage (UGS) to respond the multi-period changes of user demand by deciding the NGPN scheduling and UGS injection-withdrawal schemes. To promote low-carbon management, the model considers the carbon emission targets of the NGPN compressor stations and the UGS compressor groups, and innovatively couples the differential pressure power generation (DPPG) optimization of the UGS expander groups. A high-dimensional linearized relaxation method combining piecewise linear approximation and spatial grid approximation is designed to overcome the complex nonlinear properties of the model. The results show that the optimized NGPN scheduling scheme reduces the carbon emissions of compressor stations by 16.34 %. Through the rational decision of UGS injection-withdrawal scheme, the carbon emissions of compressor groups were reduced by 23.35 %, and the green electricity generated from the DPPG of expander groups further reduced the carbon emission of 6745.3 tons. Moreover, the influence of pipeline flow rate allocation and flow direction decision on system operation is analyzed, and the advantages of UGS in balancing supply and demand are verified. This study can provide decision support for low-carbon operation management of NGPN system with UGS.
天然气管网与地下储气库协同运行优化:经济调度与低碳控制
随着天然气消费的增长和“双碳”政策的实施,天然气管网(NGPN)系统的供需平衡和低碳管理面临重要挑战。通过确定地下储气库的调度方案和地下储气库的注水回采方案,建立了综合地下储气库结构和水力特性的地下储气库系统经济环境综合优化模型,以响应用户需求的多周期变化。为了促进低碳管理,该模型考虑了NGPN压缩站和UGS压缩机组的碳排放目标,创新地耦合了UGS膨胀机组的差压发电(DPPG)优化。为克服模型复杂的非线性特性,设计了分段线性逼近和空间网格逼近相结合的高维线性化松弛方法。结果表明,优化后的NGPN调度方案使压缩站的碳排放量减少了16.34%。通过合理决策UGS注退方案,压缩机组碳排放量减少23.35%,膨胀机组DPPG产生的绿色电力进一步减少碳排放量6745.3吨。分析了管道流量分配和流向决策对系统运行的影响,验证了UGS在平衡供需方面的优势。本研究可为带UGS的NGPN系统低碳运行管理提供决策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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