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A Green Mixed Integer Linear Programming Model for Optimization of Byproduct Gases in Iron and Steel Industry 认领 引用 被引量:12
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作者 Hai-ning KONG 《Journal of Iron and Steel Research International》 SCIE CAS CSCD 2015年第8期681-685,共5页
Byproduct gas is an important secondary energy in iron and steel industry, and its optimization is vital to cost reduction. With the development of iron and steel industry to be more eco-friendly, it is necessary to c... Byproduct gas is an important secondary energy in iron and steel industry, and its optimization is vital to cost reduction. With the development of iron and steel industry to be more eco-friendly, it is necessary to construct an integrated optimized system, taking economics, energy consumption and environment into consideration. Therefore, the environmental cost caused by pollutants discharge should be factored in total cost when optimizing byproduct gas distribution. A green mixed integer linear programming (MILP) model for the optimization of byproduct gases was established to reduce total cost, including both operation cost and environmental cost. The operation cost included penalty for gas deviation, costs of fuel and water consumption, holder booster trip penalty, and so forth; while the environmental cost consisted of penalties for both direct and indirect pollutants discharge. Case study showed that the proposed model brought an optimum solution and 2.2% of the total cost could be reduced compared with previous one. 展开更多
关键词 green mixed integer linear programming environmental cost optimization iron and steel industry byproduct gas
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A mixed integer linear programming approach for municipal solid waste management 认领 引用 被引量:4
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《Journal of Environmental Sciences》 SCIE CAS 1997年第4期49-63,共15页
AmixedintegerlinearprogrammingapproachformunicipalsolidwastemanagementGordonGuoHeHuangEnvironmentalSystemsEngineering,Univer...
关键词 A mixed integer linear programming approach for municipal solid waste management
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Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution 认领 引用 被引量:1
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作者 Juan Alemany Diego Moitre +1 位作者 Herminio Pinto Fernando Magnago 《Energy and Power Engineering》 2013年第2期161-170,共10页
Combined cycle plants (CCs) are broadly used all over the world. The inclusion of CCs into the optimal resource scheduling causes difficulties because they can be operated in different operating configuration modes ba... Combined cycle plants (CCs) are broadly used all over the world. The inclusion of CCs into the optimal resource scheduling causes difficulties because they can be operated in different operating configuration modes based on the number of combustion and steam turbines. In this paper a model CCs based on a mixed integer linear programming approach to be included into an optimal short term resource optimization problem is presented. The proposed method allows modeling of CCs in different modes of operation taking into account the non convex operating costs for the different combined cycle mode of operation. 展开更多
关键词 Combined Cycle Plants Unit Commitment Mixed Integer Linear Programming
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Combining Geographic Information Systems for Transportation and Mixed Integer Linear Programming in Facility Location-Allocation Problems 认领 引用
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作者 Silvia Maria Santana Mapa Renato da Silva Lima 《Journal of Software Engineering and Applications》 2014年第10期844-858,共15页
In this study, we aimed to assess the solution quality for location-allocation problems from facilities generated by the software TransCAD&reg;?, a Geographic Information System for Transportation (GIS-T). Such fa... In this study, we aimed to assess the solution quality for location-allocation problems from facilities generated by the software TransCAD&reg;?, a Geographic Information System for Transportation (GIS-T). Such facilities were obtained after using two routines together: Facility Location and Transportation Problem, when compared with optimal solutions from exact mathematical models, based on Mixed Integer Linear Programming (MILP), developed externally for the GIS. The models were applied to three simulations: the first one proposes opening factories and customer allocation in the state of Sao Paulo, Brazil;the second involves a wholesaler and a study of location and allocation of distribution centres for retail customers;and the third one involves the location of day-care centers and allocation of demand (0 - 3 years old children). The results showed that when considering facility capacity, the MILP optimising model presents results up to 37% better than the GIS and proposes different locations to open new facilities. 展开更多
关键词 Geographic Information Systems for Transportation Location-Allocation Problems Mixed Integer Linear Programming Transportation TransCAD
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An overview of mathematical programming solvers:Theory,development,and recent advances 认领 引用
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作者 Lei HUANG Fan XIAO +2 位作者 Dongdong GE Wotao YIN Zhe LIANG 《ENGINEERING Management》 CSCD 2026年第1期1-16,共16页
Mathematical programming solvers are software tools designed to solve real‑world problems using mathematical programming algorithms.This survey explores the evolution of optimization technologies,from traditional meth... Mathematical programming solvers are software tools designed to solve real‑world problems using mathematical programming algorithms.This survey explores the evolution of optimization technologies,from traditional methods such as the simplex algorithm and branch‑and‑bound techniques to modern advancements that are facilitated by parallel computing,GPU acceleration,and AI algorithms.We also emphasize the recent emergence of mathematical programming solvers developed by research institutes and companies headquartered in China as major players,who have achieved remarkable success in benchmarks when compared to established solvers.This article provides a comprehensive overview of the theoretical foundations,historical progress,and emerging trends in mathematical programming solvers,offering valuable insights for both researchers and practitioners in the field. 展开更多
关键词 survey mathematical programming solver linear programming mixedinteger programming nonlinear programming
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基于MILP的10轮IVLBC的中间相遇攻击 认领 引用
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作者 刘亚 曾衡顺 +2 位作者 赵逢禹 刘先蓓 曲博 《上海理工大学学报》 CAS 北大核心 2026年第3期295-307,共13页
对合型轻量级分组密码(involutive lightweight block cipher,IVLBC)是一种专为资源受限的物联网环境设计的轻量级分组密码算法。提出了基于混合整数线性规划(mixed-integer linear programming,MILP)改进的10轮IVLBC-128的中间相遇攻... 对合型轻量级分组密码(involutive lightweight block cipher,IVLBC)是一种专为资源受限的物联网环境设计的轻量级分组密码算法。提出了基于混合整数线性规划(mixed-integer linear programming,MILP)改进的10轮IVLBC-128的中间相遇攻击。首先研究了IVLBC结构特性,建立了混合整数线性规划的自动化搜索模型,找到10条5轮IVLBC-128中间相遇区分器;其次,研究了该算法的密钥扩展方案的冗余性,根据分析过程中猜测密钥位数最少原则,选取1条中间相遇区分器,并在此区分器前面接1轮,后面接4轮,构造出10轮IVLBC-128中间相遇攻击路径,最后基于该路径恢复出密钥。整个分析过程的时间复杂度为2123.26次加密,数据复杂度为261个选择明文,存储复杂度为277个64比特块。该结果将IVLBC-128此前公开的最优中间相遇攻击结果提升了两轮。 展开更多
关键词 轻量级分组密码 中间相遇攻击 混合整数线性规划 IVLBC
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RL-MILP模型在长春养老资源配置中的应用研究 认领 引用
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作者 吕堂红 朱默涵 +2 位作者 贾亦真 王佳怡 王紫宁 《长春理工大学学报(自然科学版)》 2026年第1期132-142,共11页
针对我国老龄化加速背景下养老资源供需失衡问题,以长春市为例,提出一种融合强化学习(RL)与混合整数线性规划(MILP)的资源配置模型。通过收集长春市10个区县的老年人口、医疗机构及交通等数据,构建复合需求指数量化区域需求差异,利用MIL... 针对我国老龄化加速背景下养老资源供需失衡问题,以长春市为例,提出一种融合强化学习(RL)与混合整数线性规划(MILP)的资源配置模型。通过收集长春市10个区县的老年人口、医疗机构及交通等数据,构建复合需求指数量化区域需求差异,利用MILP模型实现静态优化,并结合强化学习的马尔可夫决策过程MDP设计强化学习框架,结合近端策略优化(PPO)算法进行训练模拟,得出最优配置方案及最终决策。实验结果表明:双阳区、榆树市各新增两家医疗机构,德惠市、九台区、农安县、宽城区各新增一家,其余区域维持现状;可针对长春市相关方面优化动态监测及政策导向,为本地乃至全国养老资源规划提供参考。 展开更多
关键词 养老资源配置 混合整数线性规划 强化学习 马尔可夫决策 长春市
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电解铝协同梯级水电避振调峰MILP模型 认领 引用
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作者 景超 孔繁镍 +2 位作者 李勇奇 钟凌锋 易泽仁 《广西大学学报(自然科学版)》 CAS 北大核心 2026年第1期90-103,共14页
为了充分挖掘电解铝高耗能负荷的柔性调节潜力,解决传统水电机组模型求解复杂度高的问题,电解铝对水电机组振动区运行时进行响应,实现源荷互动。建立精细化电解铝快速调节特性与生产能耗约束模型,引入机会约束处理风光出力不确定性,并... 为了充分挖掘电解铝高耗能负荷的柔性调节潜力,解决传统水电机组模型求解复杂度高的问题,电解铝对水电机组振动区运行时进行响应,实现源荷互动。建立精细化电解铝快速调节特性与生产能耗约束模型,引入机会约束处理风光出力不确定性,并通过线性化方法处理非线性目标函数与约束关系,构建电解铝协同梯级水电避振调峰的混合整数线性规划(MILP)模型,以提升模型求解效率与稳定性。结果表明,该模型可使剩余负荷平方距分别降低44.47和48.83,水电机组平均调节次数减少5次,振动发生率降低15.30%与16.43%,计算效率较混合整数非线性规划(MINLP)模型提升约2.95倍。 展开更多
关键词 梯级水电站调峰 电解铝响应 混合整数线性规划模型
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大豆多用途应急配给决策研究:基于单期MILP阈值分析 认领 引用
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作者 张晗曦 赵林度 《供应链管理》 2026年第6期94-112,共19页
在中美贸易摩擦常态化与外部不确定性增加的背景下,我国大豆进口与物流体系面临较高的中断风险,供给收缩易在多用途间引发资源竞争,对产业链造成冲击。文章构建混合整数线性规划模型,刻画大豆供给受冲击时各用途间的应急配给决策。模型... 在中美贸易摩擦常态化与外部不确定性增加的背景下,我国大豆进口与物流体系面临较高的中断风险,供给收缩易在多用途间引发资源竞争,对产业链造成冲击。文章构建混合整数线性规划模型,刻画大豆供给受冲击时各用途间的应急配给决策。模型在最低服务率约束和联产品绑定条件下识别停摆阈值,以递增剥夺成本函数衡量短缺损失,并对比了三种制度规则、四种政策工具的实施效果。研究结果表明,随着冲击加深,大豆各用途服务率呈阶段性下降,表现出清晰的停摆阈值与顺序:压榨环节是系统的关键产能支点;各项预案有助于缓解供给断崖式下跌,降低停摆风险。政策层面应推动大豆应急体系建设,加强关键产能保护与配套政策组合,全面提升我国大豆供应链韧性。 展开更多
关键词 大豆供应链 应急配给 混合整数线性规划 供应链韧性
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The Linear Formulation of Thermal Unit Commitment Problem with Uncertainties through a Computational Mixed Integer 认领 引用 被引量:1
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作者 Mian Khuram Ahsan Tianhong Pan Zhengming Li 《Journal of Power and Energy Engineering》 2018年第6期1-15,共15页
The solar and wind renewable energy is developing very rapidly to fulfill the energy gap. This specific increasing share of renewable energy is a reaction to the ecological trepidations to conciliate economics with se... The solar and wind renewable energy is developing very rapidly to fulfill the energy gap. This specific increasing share of renewable energy is a reaction to the ecological trepidations to conciliate economics with security due to the new challenges in power system supply. In solar and wind renewable energy, the only partially predictable is the output with very low controllability which creates unit commitment problems in thermal units. In this research paper, a different linear formulation via mixed integer is presented that only requires “binary variables” and restraints concerning earlier stated models. The framework of this model allows precisely the costs of time-dependent startup & intertemporal limitations, for example, minimum up & down times and a ramping limit. To solve the unit commitment problem efficiently, a commercially available linear programming of mixed-integer is applied for sizeable practical scale. The results of the simulation are shown in conclusions. 展开更多
关键词 Thermal Generating Unit MILP (Mixed Integer Linear Programming) Unit Commitment
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基于MILP的燃煤电厂CCUS集群部署优化研究 认领 引用
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作者 曹峰 《能源与节能》 2026年第5期18-20,68,共3页
在实现碳中和目标的背景下,燃煤电厂作为主要的CO2排放源,其CCUS(Carbon Capture,Utilization and Storage,碳捕集、利用与封存)技术的集群部署优化显得尤为重要。基于MILP(Mixed-Integer Linear Programming,混合整数线性规划)算法... 在实现碳中和目标的背景下,燃煤电厂作为主要的CO2排放源,其CCUS(Carbon Capture,Utilization and Storage,碳捕集、利用与封存)技术的集群部署优化显得尤为重要。基于MILP(Mixed-Integer Linear Programming,混合整数线性规划)算法,构建了燃煤电厂CCUS集群部署优化模型,旨在实现成本最小化、减排效果最大化以及确保技术可行性。通过源汇匹配、聚类分析和管网布局优化等方法,识别CCUS项目集群,并建立最低成本的CO2输送管道网络。研究表明,该优化模型能够为燃煤电厂CCUS集群的合理布局提供科学依据,推动CCUS技术的大规模商业化应用,助力电力行业的绿色低碳转型。 展开更多
关键词 混合整数线性规划 CCUS集群部署 燃煤电厂 优化模型 碳中和
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Detection of gross errors using mixed integer optimization approach in process industry 认领 引用
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作者 MEI Cong-li SU Hong-ye CHU Jian 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS 2007年第6期904-909,共6页
A novel mixed integer linear programming (NMILP) model for detection of gross errors is presented in this paper. Yamamura et al.(1988) designed a model for detection of gross errors and data reconciliation based on Ak... A novel mixed integer linear programming (NMILP) model for detection of gross errors is presented in this paper. Yamamura et al.(1988) designed a model for detection of gross errors and data reconciliation based on Akaike information cri- terion (AIC). But much computational cost is needed due to its combinational nature. A mixed integer linear programming (MILP) approach was performed to reduce the computational cost and enhance the robustness. But it loses the super performance of maximum likelihood estimation. To reduce the computational cost and have the merit of maximum likelihood estimation, the simultaneous data reconciliation method in an MILP framework is decomposed and replaced by an NMILP subproblem and a quadratic programming (QP) or a least squares estimation (LSE) subproblem. Simulation result of an industrial case shows the high efficiency of the method. 展开更多
关键词 Data reconciliation Detection of gross errors Mixed integer linear programming MILP Novel MILP (NMILP Quadratic programming (QP)
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基于MILP-TD3的用户侧储能系统优化运行 认领 引用 被引量:1
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作者 陈景文 单茜 《中国电机工程学报》 EI CSCD 北大核心 2025年第13期5119-5129,I0015,共11页
深度强化学习(deep reinforcement learning,DRL)作为调控用户侧储能以消纳光伏发电和满足用户用电需求的重要算法得到广泛的应用,但应用过程中,DRL智能体难以严格执行运行约束,导致其提供不可靠的动作,威胁储能系统运行的安全性。基于... 深度强化学习(deep reinforcement learning,DRL)作为调控用户侧储能以消纳光伏发电和满足用户用电需求的重要算法得到广泛的应用,但应用过程中,DRL智能体难以严格执行运行约束,导致其提供不可靠的动作,威胁储能系统运行的安全性。基于此,该文提出一种基于MILP-TD3的用户侧储能系统优化运行策略。首先,以调度周期内运行成本最小为目标,建立考虑电池退化成本的实时运行优化模型,引入包含功率平衡约束的马尔科夫决策过程(Markov decision process,MDP),将储能运行问题转换为智能体的寻优问题;其次,提出将双延迟深度确定性策略梯度(double delay depth deterministic strategy gradient,TD3)算法的动作价值函数转化为混合整数线性规划(mixed integer linear programming,MILP)公式的MILP-TD3算法,使智能体严格执行储能运行的约束条件;最后,通过算例对比分析,结果表明所提模型和算法能够确定最优运行策略,可以严格执行功率平衡约束,该文算法较传统TD3算法所得平均日运行成本降低25.34%,各时段平均优化时间为0.024 s,满足实时调度要求,保证用户侧储能系统安全运行。 展开更多
关键词 用户侧储能 深度强化学习 混合整数线性规划 优化运行
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MILP Modeling and Optimization of Three-Stage Flexible Job Shop Scheduling Problem with Assembly and AGV Transportation 认领 引用 被引量:1
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作者 Shiming Yang Leilei Meng +3 位作者 Saif Ullah Chaoyong Zhang Hongyan Sang Biao Zhang 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2025年第6期238-255,共18页
The flexible job shop scheduling problem(FJSP)is commonly encountered in practical manufacturing environments.A product is typically built by assembling multiple jobs during actual manufacturing.AGVs are normally used... The flexible job shop scheduling problem(FJSP)is commonly encountered in practical manufacturing environments.A product is typically built by assembling multiple jobs during actual manufacturing.AGVs are normally used to transport the jobs from the processing shop to the assembly shop,where they are assembled.Therefore,studying the integrated scheduling problem with its processing,transportation,and assembly stages is extremely beneficial and significant.This research studies the three-stage flexible job shop scheduling problem with assembly and AGV transportation(FJSP-T-A),which includes processing jobs,transporting them via AGVs,and assembling them.A mixed integer linear programming(MILP)model is established to obtain optimal solutions.As the MILP model is challenging for solving large-scale problems,a novel co-evolutionary algorithm(NCEA)with two different decoding methods is proposed.In NCEA,a restart operation is developed to improve the diversity of the population,and a multiple crossover strategy is designed to improve the quality of individuals.The validity of the MILP model is proven by analyzing its complexity.The effectiveness of the restart operator,multiple crossovers,and the proposed algorithm is demonstrated by calculating and analyzing the RPI values of each algorithm's results within the time limit and performing a paired t-test on the average values of each algorithm at the 95%confidence level.This paper studies FJSP-T-A by minimizing the makespan for the first time,and presents a MILP model and an NCEA with two different decoding methods. 展开更多
关键词 Flexible job shop scheduling AGV Assembly Co-evolutionary algorithm Mixed integer linear programming
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基于MILP算法的风光水火储多电源协同配置优化研究 认领 引用 被引量:1
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作者 马骏 《中国煤炭》 北大核心 2025年第7期71-85,共15页
随着新能源大基地的规模化开发以及跨区域外送通道的持续完善,含高比例可再生能源的电力系统面临风光水火与储能协同优化配置的难题。针对传统启发式算法在多能源联合电源优化配置中存在的寻优效率低、精度不足等问题,创新提出了基于混... 随着新能源大基地的规模化开发以及跨区域外送通道的持续完善,含高比例可再生能源的电力系统面临风光水火与储能协同优化配置的难题。针对传统启发式算法在多能源联合电源优化配置中存在的寻优效率低、精度不足等问题,创新提出了基于混合整数线性规划(MILP)的风光水火储联合电源优化配置模型。该模型通过引入松弛变量将复杂约束条件标准化,采用基变量迭代更新策略压缩可行解空间,最终实现多电源出力的全局最优配置。通过9个抽水蓄能机组、9个电化学机组及不同装机容量下的风光水火的多情景仿真模拟,系统分析火电机组燃煤成本、新能源弃电量与抽水蓄能装机容量之间的影响机制。结果表明,随着抽水蓄能装机容量的增加,新能源弃电量、火电装机容量和煤耗均呈下降趋势。但抽水蓄能装机容量与系统总费用现值呈非线性关系,存在一个最优配置规模,根据2030年青海电网各电源和特高压路线的建设规划,抽水蓄能合理需求规模(经济规模)在800万~1200万kW之间较为合理。同时根据抽水蓄能与电化学储能的对比分析可知,抽水蓄能在一定规模范围内具有更好的经济效益,当抽水蓄能装机容量达到1200万kW时,其容量效益与边际成本达到最优平衡点,超过该阈值后,抽水蓄能的容量效益衰减速率加快,叠加电化学储能技术成本下降的影响,导致系统总成本呈现上升趋势。综上所述,抽水蓄能在平抑风电波动、优化火电和新能源运行经济性方面具有显著效果,且不同抽水蓄能配置方案下的调节特性存在明显差异。该模型验证了其在协调新能源大基地出力特性、外送通道输送、水资源约束与储能调节能力方面的有效性,为“源网荷储”一体化系统的电源优化配置提供了高效解决方案。 展开更多
关键词 混合整数线性规划(MILP)仿真模拟 风光水火储 协同配置 多约束多目标优化
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基于MILP的VLEO-LEO卫星网络量子密钥分发动态路由策略研究 认领 引用
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作者 谭青洋 曹阳 +3 位作者 彭小峰 左竞 陈杨 熊培富 《光子学报》 EI CAS CSCD 北大核心 2025年第12期122-135,共14页
针对低地球轨道卫星与极低地球轨道卫星组网中的量子密钥分发动态路由问题,提出了一种基于混合整数线性规划的自适应路由算法(MILP-ARA)。通过构建异构星座协同中继模型,结合时隙划分的静态拓扑和动态密钥管理机制,解决了星间链路高动... 针对低地球轨道卫星与极低地球轨道卫星组网中的量子密钥分发动态路由问题,提出了一种基于混合整数线性规划的自适应路由算法(MILP-ARA)。通过构建异构星座协同中继模型,结合时隙划分的静态拓扑和动态密钥管理机制,解决了星间链路高动态性、密钥资源受限及链路衰减等核心挑战。算法引入流量守恒、密钥容量和端到端时延等多重约束,优化了多业务优先级下的路径选择与密钥分配。仿真结果表明,在链路衰减最严重的情况下,MILP-ARA算法的请求成功率较Dijkstra算法和SA-MFP算法分别提高约13.5%和7.6%。同时该异构星座协同中继模型在端到端时延方面,其整体时延在MILP-ARA算法下能达到55 ms左右,较Dijkstra和SA-MFP算法平均降低了约20 ms。在高负载下其密钥满足率较SA-MFP算法整体提升约29.35%。 展开更多
关键词 量子密钥分发 路由算法 混合整数线性规划 量子卫星组网 软件定义网络
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基于MILP的轻量级序列密码算法线性分析 认领 引用
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作者 帅燕 胡汉平 《信息网络安全》 CSCD 北大核心 2025年第2期260-269,共10页
文章针对一种基于时变互耦合双混沌系统的轻量级序列密码算法的安全性进行评估,轻量级序列密码算法的安全性对保障物联网和移动通信等资源受限环境的数据安全至关重要。文章选取了混合整数线性规划方法作为分析工具,构建算法的数学模型... 文章针对一种基于时变互耦合双混沌系统的轻量级序列密码算法的安全性进行评估,轻量级序列密码算法的安全性对保障物联网和移动通信等资源受限环境的数据安全至关重要。文章选取了混合整数线性规划方法作为分析工具,构建算法的数学模型,并通过对模型的优化求解,得出算法在不同运行模式下的最大线性相关系数,范围在2-54~2-26之间。实验结果表明,该算法在相关性方面存在一定的脆弱性,攻击者通过穷举110位初始密钥来破解算法,复杂度远低于其128bit初始密钥的穷举复杂度。文章不仅提供了对该算法安全性的定量评估,而且验证了在密码学中进行相关性分析的重要性以及混合整数线性规划技术在密码算法安全性评估方面的有效性。文章对于推动轻量级密码算法的安全性分析和设计具有一定的理论和实践意义,为资源受限环境下的数据安全提供了有力的理论支持。 展开更多
关键词 混沌序列密码算法 线性分析 混合整数线性规划
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Integer Programming Formulations for Maximum Lifetime Broadcasting Problems in Wireless Sensor Networks 认领 引用
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作者 Roberto Montemanni 《Wireless Sensor Network》 2010年第12期924-935,共12页
Approaches based on integer linear programming have been recently proposed for topology optimization in wireless sensor networks. They are, however, based on over-theoretical, unrealistic models. Our aim is to show th... Approaches based on integer linear programming have been recently proposed for topology optimization in wireless sensor networks. They are, however, based on over-theoretical, unrealistic models. Our aim is to show that it is possible to accommodate realistic models for energy consumption and communication protocols into integer linear programming. We analyze the maximum lifetime broadcasting topology problem and we present realistic models that are also shown to provide efficient and practical solving tools. We present a strategy to substantially speed up the convergence of the solving process of our algorithm. This strategy introduces a practical drawback, however, in the characteristics of the optimal solutions retrieved. A method to overcome this drawback is discussed. Computational experiments are reported. 展开更多
关键词 Sensor Networks Mixed Integer Linear Programming Energy Models Topology Optimization
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油田企业场地级CCUS动态源汇匹配优化模型构建及应用 认领 引用 被引量:1
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作者 王苛宇 梁全胜 +7 位作者 李琦 刘瑛 蔡博峰 沈振振 王宏 庞凌云 刘桂臻 王贺谊 《应用化工》 CAS 北大核心 2026年第1期236-242,共7页
油田企业规模化部署碳捕集、利用与封存(CCUS)技术面临伴生气/工厂碳源波动、特低渗透油藏动态封存需求及复杂管网多重约束等挑战。该研究突破传统静态优化局限,提出一种场地级动态源汇匹配优化方法。构建了融合“评价分级-网络预优化-... 油田企业规模化部署碳捕集、利用与封存(CCUS)技术面临伴生气/工厂碳源波动、特低渗透油藏动态封存需求及复杂管网多重约束等挑战。该研究突破传统静态优化局限,提出一种场地级动态源汇匹配优化方法。构建了融合“评价分级-网络预优化-动态匹配-路径修正”的多级技术框架,集成碳源端全生命周期技术经济评价体系(10项指标)与封存靶区“地质适宜性-潜力-经济性”三维分级模型,建立高精度动态数据库;创新开发嵌入动态优先级系数的混合整数线性规划(MILP)模型,该优先级融合技术经济性、政策激励与战略适配三重维度,以可动态响应油藏注采周期与管网分阶段建设需求;耦合GIS空间分析、Delaunay三角网预优化及融合地形坡度、生态红线等五类因子的空间异质性成本阻抗面,基于Dijkstra算法求解最小累积成本路径。设置成本最小化、驱油收益最大化及碳汇补贴激励三类情景,实现CO2捕集-运输-封存全链条动态协同优化。在延长石油CCUS示范工程的应用表明,成本最优情景下单位CO2输送成本降至0.21元/(t·km),降幅12.5%;收益驱动情景下,驱油增产与碳汇收益叠加累计达423亿元;优化形成的北、中、南三干线管网布局显著降低了工程风险(综合风险指数降低37%);模型成功动态匹配了7个Ⅰ级封存区块的周期性注采需求。提出的“动态优先级嵌入+MILP+空间阻抗优化”方法链,为油田企业CCUS集群化部署提供了可复用的科学决策框架。 展开更多
关键词 源汇匹配 混合整数线性规划 动态优先级 空间异质性阻抗 场地级CCUS部署
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面向智能制造的AGV与柔性作业车间协同调度模型与算法 认领 引用 被引量:2
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作者 林国义 黄千禧 +1 位作者 谢帅 高开周 《控制与决策》 EI CSCD 北大核心 2026年第4期1166-1175,共10页
面向智能制造环境中物流与生产深度融合的复杂调度需求,提出一种集成自动导引车(AGV)调度与柔性作业车间排程的协同优化方法.构建同时考虑工件加工路径选择、机床分配与AGV运输任务调度的混合整数线性规划模型,涵盖运输时间、AGV数量限... 面向智能制造环境中物流与生产深度融合的复杂调度需求,提出一种集成自动导引车(AGV)调度与柔性作业车间排程的协同优化方法.构建同时考虑工件加工路径选择、机床分配与AGV运输任务调度的混合整数线性规划模型,涵盖运输时间、AGV数量限制、作业顺序约束与资源可用性等多种实际因素.针对问题求解的复杂性,设计融合遗传算法与改进变邻域搜索策略的混合智能算法(GAIVNS),有效提升求解精度、稳定性与全局寻优能力.通过新能源汽车总装工厂场景下的仿真实验表明,所提出模型与算法在任务完成时间、设备利用率与调度稳定性方面均显著优于现有方法.所做研究为智能制造系统中的多资源协同调度提供了一种高效、可靠且可行的解决方案,具有良好的工程应用前景与推广价值. 展开更多
关键词 柔性作业车间调度 AGV调度 变邻域搜索 遗传算法 协同优化 混合整数线性规划
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