耦合碳转移及能量共享的多油气站场IES运行优化

Operation optimization of IES in multiple oil and gas stations with coupled carbon transfer and energy sharing

在能源转型及“碳达峰、碳中和”背景下,构建基于多能互补的综合能源系统(IES)有助于提高油气站场的节能降耗水平。融入站间碳转移及能量共享,考虑能流供需平衡、CCUS-P2G模块及储能装置运行等约束,以运行成本最低为目标,提出一种针对多油气站场IES协同运行的混合整数规划模型,确定各油气站场IES的最优运行方案。以3个油气站场组成的能量系统为研究对象,验证模型的优化性能。结果表明,设备间的相互协调可有效提升系统的能量利用率,消纳自然清洁能源,防止弃光、弃风。此外,相较各油气站场独立运行,多油气站场协同运行能降低11.8%的运行费用。该研究可为油气站场的低碳经济运行提供理论指导。

In the context of energy transition and the goals of“carbon peak”and“carbon neutrality”,the operational management strategies of oil and gas stations are continuously deepening.Constructing an integrated energy system(IES)based on multi-energy complementarity is one of the effective approaches to enhancing energy efficiency and reducing energy consumption in oil and gas stations.However,previous research mainly focuses on individual oil and gas stations,with few studies exploring the implementation of collaborative operations in multiple oil and gas stations with integrated energy systems(MOGS-IES).Therefore,an operation optimization of the MOGS-IES is conducted in this study from the economic and low-carbon perspective.First,an IES framework based on multi-energy complementarity is proposed for individual oil and gas stations.This framework comprehensively consider the diversity of equipment types,such as introducing the CCUS-P2G module to recycle carbon resources.Moreover,to overcome the limitations of the low resource scheduling capability and the single form of energy supply in the individual operation of oil and gas stations,inter-station energy sharing and carbon transfer are adopted to achieve coordinated management,mutual response,and optimized operation of multiple oil and gas stations.Incorporating energy sharing and carbon transfer mechanisms between stations,a mixed-integer programming model for the MOGS-IES is then proposed under the energy demand of oil and gas stations.Considering various constraints,including the energy flow supply-demand balance,material balance,and the operation of energy conversion and storage equipment,this model aims to minimize operation costs.The model is solved using the branch and bound method as the core algorithm,yielding optimal solutions for the daily operation schedules of equipment in the MOGS-IES,as well as the inter-station scheduling of energy and carbon resources.The applicability and optimization performance of the proposed model were verified by an energy system comprising three oil and gas stations.The results demonstrat that the coordinated operation of equipment effectively improves energy utilization,absorbs natural clean energy,and prevents the waste of solar and wind energy.According to the energy flow supply-demand balance in oil and gas stations and changes in electricity prices,energy storage equipment is able to transfer energy from periods of energy surplus to periods of energy deficit.For instance,the heat storage equipment of the three oil and gas stations is in a heat storage state from 10∶00 to 17∶00 and releases stored heat during the night.Furthermore,each oil and gas station engages in energy sharing and carbon transfer with other stations based on its own energy flow supply-demand status.For example,station 3 transfers 5153.1 m^(3)of high-concentration CO 2 to station 1 and 3033.0 m^(3)to station 2.Finally,compared to the individual operation of the three oil and gas stations,the inter-station energy sharing reduces operation costs by 6.8%,and the overall optimization rate of inter-station carbon transfer is 6.5%;the coupling of these two methods yields an 11.8%reduction in operation costs.This study contributes to the flexible management and economic operation of oil and gas stations,providing a theoretical reference for the low-carbon and economical operation.