检索结果-内蒙古大学图书馆

International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Tang, Zihang Wang, Yingxiao Liu, Yuqian Wu, Jianghua School of Computer Science and Technology Xi’an Jiaotong University Xi’an 710049 China Department of Mathematics Nanjing University Nanjing210023 China Shenzhen Research Institute of Big Data the Chinese University of Hong Kong-Shenzhen Guangdong Shenzhen518172 China

ISBN: (纸本)9789819620418

Cross-regional Hydrogen Energy Storage System (HESS) effectively addresses the uneven spatial and temporal distribution of renewable energy sources by facilitating energy storage, transfer, and scheduling across regions. However, the intermittency of renewable energy sources, dynamic changes in demand, and the high costs pose complex challenges for the planning and scheduling of cross-regional HESSs. Although hierarchical modeling, which is divided into upper-level planning and lower-level scheduling, provides flexibility and robustness in handling uncertainties, the difficulties of high model complexity and low solution efficiency still exist. To this end, this paper improves hierarchical modeling by introducing the concept of dynamic transmission price into HESS, which quantifies the difficulty of transferring stored energy to neighboring cities. This concept then guides the energy trading decisions and the power distribution strategies among HESS, eliminating the need to consider the discrete variable of cross-regional connections in the lower-level scheduling for the significant simplification of the solution process. In addition, this paper synchronously integrates simulated annealing and linear programming algorithms as an efficient optimization approach for this novel hierarchical modeling. A case study considering 50 cities demonstrates the feasibility of the hierarchical model and the effectiveness of the optimization approach, providing strong support for the large-scale consumption and absorption of renewable energy across regions. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Exact optimization and decomposition approaches for shelf space allocation

引用

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2022年第2期299卷 432-447页

作者： Gencosman, Burcu Caglar Begen, Mehmet A. Bursa Uludag Univ Dept Ind Engn Bursa Turkey Western Univ Ivey Business Sch London ON Canada

A B S T R A C T Shelf space is one of the scarcest resources, and its effective management to maximize profits has become essential to gain a competitive advantage for retailers. We consider the shelf space allocation problem with additional features (e.g., integer facings, rectangular arrangement restrictions) motivated by litera-ture and our interactions with a local bookstore. We determine optimal number of facings of all products in two aspects (width and height of a rectangular arrangement space for each product), and allocate them as contiguous rectangles to maximize profit. We first develop a mixed-integer linear mathematical programming model (MIP) for our problem and propose a solution method based on logic-based Ben-ders decomposition (LBBD). Next, we construct an exact 2-stage algorithm (IP1/IP2), inspired by LBBD, which can handle larger and real-world size instances. To compare performances of our methods, we generate 100 test instances inspired by real-world applications and benchmarks from the literature. We observe that IP1/IP2 finds optimal solutions for real-world instances efficiently and can increase the local bookstore's profit up to 16.56%. IP1/IP2 can provide optimal solutions for instances with 100 products in minutes and optimally solve up to 250 products (assigned to 8 rows x 160 columns) within a time limit of 1800 s. This exact 2-stage IP1/IP2 solution approach can be effective in solving similar problems such as display problem of webpage design, allocation of product families in grocery stores, and flyer advertising. (c) 2021 Elsevier B.V. All rights reserved.

关键词： Retailing Shelf space allocation Rectangular display problem mixed-integer linear programming Logic-based Benders decomposition 2-stage algorithm

来源：评论

学校读者我要写书评

暂无评论

Uncertainty-aware non-supplied load minimization oriented demand response program for PV/FC power system with electrolyzer back-up

引用

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2022年第19期47卷 10715-10735页

作者： Eren, Yavuz Yildiz Tech Univ Dept Control & Automat Davutpasa Campus TR-34220 Istanbul Turkey

This manuscript presents robust optimization framework with multi-objective approach for day-ahead operation of hybrid power system consisted of photovoltaic (PV) panel, fuel cell (FC) with electrolyzer (Elc) back-up. The multi-objective optimization model of PV/FC/ Elc has been developed by combining the physical and operational constraints with mathematical equivalence of affine forms as well as considering the uncertainties occurring in the load demand and PV power generation. As a novel contribution to the literature, three robust optimization approaches for scheduling the hybrid power systems have been presented through the conservatism approach. Moreover, the objective function has been described to integrate the different objectives as aiming to minimize non-supplied load, while maximize the utilization rate of the essential source. By this way, it has been aimed to accelerate the adaptation of the demand response strategies for the proposed system. Moreover, this hybrid scheme provides solutions to meet the power demands for the residential end-users located in off-grid areas or islands. The mixed integer linear programming (MILP) model is tested in GAMS v.24.1.3 using the solver CPLEX v.12 and the developed strategy is analyzed for different load patterns. The results are discussed and commented with some suggestions to prove the contribution of the paper. (c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

关键词： Hybrid power sources mixed-integer linear programming Uncertainty Robust optimization Fuel cell Photovoltaic

来源：评论

学校读者我要写书评

暂无评论

Research on the Optimization of Emergency Material Distribution Routes Considering Fairness and Efficiency 14

Research on the Optimization of Emergency Material Distribut...

引用

14th International Conference on Logistics and Systems Engineering

作者： Sun, Haobo Tong, Zeping School of Management Wuhan University of Science and Technology Wuhan430065 China

ISBN: (纸本)9798331314347

In post-disaster relief scenarios, achieving equitable and efficient humanitarian logistics is crucial for the timely delivery of relief materials and the alleviation of suffering among affected populations. This paper integrates the dual objectives of efficiency and equity in conducting optimization research on emergency material distribution routes. It employs deprivation costs arising from material shortages to quantify fairness. A mixed-integer nonlinear programming model was constructed with the goal of minimizing transportation and deprivation costs, and a variable neighborhood search-based metaheuristic algorithm was developed. Using the 2008 Wenchuan earthquake as a case study, the algorithm was implemented and solved using MATLAB 2020b software, yielding the optimal distribution routes and costs. The experimental results confirm that the model and algorithm proposed in this paper are practical and effective in optimizing emergency material distribution routes. © (2025) by Aussino Academic Publishing House All rights reserved.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

A Reconductoring Approach for Efficient Long-Term Planning of the Ecuadorian Power Grid 10

A Reconductoring Approach for Efficient Long-Term Planning o...

引用

10th International Conference on Optimization and Applications, ICOA 2024

作者： Guamán, Wilian Benalcazar, Pablo Cordova-García, José Torres, Miguel Escuela Superior Politécnica del Litoral Facultad de Ingeniería Eléctrica y Computación Guayaquil Ecuador Mineral and Energy Economy Research Institute Polish Academy of Sciences Kraków Poland

ISBN: (纸本)9798350387353

Since 2023, Ecuador has faced significant challenges in the energy sector due to regional droughts impacting hydroelectric capacity and increasing reliance on energy imports. In this context, planning the expansion of the infrastructure that generates and transmits electricity to end consumers should focus on strategies that optimize the use of available resources. This paper presents a mixed integer linear programming (MILP) approach for multistage combined electricity generation and transmission planning (GTEP). The model employs a reconductoring strategy for existing 230 kV transmission lines, integrating higher-capacity conductors. The practicality and effectiveness of the model are validated through a case study of Ecuador's power system, which features a 21-bus system. The results confirm that the model provides cost-efficient solutions, with a projected investment of $4417.40 MUSD to diversify energy sources and reduce reliance on imports, a crucial step towards achieving Ecuador's energy independence by 2030. © 2024 IEEE.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Economic Analysis of Energy Efficiency Programs with Energy Storage Systems on the Optimal Smart Microgrid Energy Management 9

Economic Analysis of Energy Efficiency Programs with Energy ...

引用

9th International Conference on Technology and Energy Management, ICTEM 2024

作者： Agabalaye-Rahvar, Masoud Talebi, Amir Gharehbagh, Hamed Kheirandish Zare, Kazem Gozel, Tuba University of Tabriz Tabriz Faculty of Electrical and Computer Engineering Iran Gebza Technic University Gebze Faculty of Electrical and Computer Engineering Turkey

ISBN: (纸本)9798350329797

Smart microgrids (SMGs) represent an innovative and adaptive approach to energy distribution, integrating advanced technologies and intelligent control systems to enhance energy efficiency and reliability. In these SMGs, energy efficiency programs (EEPs) are initiatives designed to reduce energy consumption and improve overall energy performance in various sectors. Other flexible technology which is called energy storage systems (ESSs) to modify optimal energy management (EM). EM refers to the efficient allocation and utilization of energy resources to meet demand while minimizing operation costs. So, in the context of SMGs, optimal EM plays a critical role in achieving sustainable and cost-effective energy solutions. In this paper, optimal EM coordinated with flexible facilities i.e., electrical and thermal EEPs and also ESSs has been proposed. To this end, the presented novel EEPs have been applied to the demand model in which it was used in the context of optimal EM in SMG framework. Also, as another contribution, sensitivity analysis of the energy efficiency investment rate of EEPs along with considering ESSs on the whole operation cost is accomplished to provide better discernment for stakeholders and/ or decision-makers. The proposed objective function contains multiple distributed generations' costs i.e., fuel, operation, and maintenance costs are modeled as mixed-integer linear programming (MILP) which is solved via CPLEX solver in GAMS software. The simulation results indicate that the whole operation cost is reduced by about 9.2% and 18.2% when utilizing only thermal EEPs with ESSs and electrical EEPs with ESSs, respectively. However, implementing both types of EEPs with ESSs results in a 27.5% decrement in the total operation cost of SMG. © 2024 IEEE.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Spectral Graph Theoretic Methods for Enhancing Network Robustness in Robot Localization 63

Spectral Graph Theoretic Methods for Enhancing Network Robus...

引用

63rd IEEE Conference on Decision and Control, CDC 2024

作者： Somisetty, Neelkamal Nagarajan, Harsha Darbha, Swaroop Texas A & M University Department of Mechanical Engineering College StationTX United States Los Alamos National Laboratory Los AlamosNM United States

ISBN: (纸本)9798350316339

This paper addresses the optimization of edge-weighted networks by maximizing algebraic connectivity to enhance network robustness. Motivated by the need for precise robot position estimation in cooperative localization and pose-graph sparsification in Simultaneous Localization and Mapping (SLAM), the algebraic connectivity maximization problem is formulated as a mixed integer Semi-Definite Program (MISDP), which is NP-hard. Leveraging spectral graph theoretic methods, specifically Cheeger's inequality, this work introduces novel 'Cheeger cuts' to strengthen and efficiently solve medium-scale MISDPs. Further, a new mixed integer linear Program (MILP) is developed for efficiently computing Cheeger cuts, implemented within an outer-approximation algorithm for solving the MISDP. A greedy k-opt heuristic is also presented, producing high-quality solutions that serve as valid lower bounds for Cheeger cuts. Comprehensive numerical analyses demonstrate the efficacy of strengthened cuts via substantial improvements in run times on synthetic and realistic robot localization datasets. © 2024 IEEE.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

A global optimal trajectory optimization method with multiple NFZ constraints 1

A global optimal trajectory optimization method with multipl...

引用

1st Aerospace Frontiers Conference, AFC 2024

作者： Chen, Yang Liang, Zhuo Lyu, Rui China Academy of Launch Vehicle Technology Beijing1000762 China

ISBN: (纸本)9781510681613

The trajectory optimization challenge, especially with multiple no-fly zones (NFZs), often leads to many local optima. Using mixed-integer programming (MIP) improves chances for finding global optima but at the cost of increased computation due to many binary variables. To speed up solving, this study uses variable substitution, which changes NFZ constraints into simpler upper and lower bounds and uses binary variables for path decision, matching the number of NFZs. Inspired by sequential convex programming (SCP), the issue with a mix of strategies that make the problem easier to solve is tackled, leading to the creation of the hybrid iterative convex programming (HICP) algorithm. Testing in different situations verify the effectiveness of the HICP algorithm. The HICP algorithm demonstrates robust adaptability and significant computational efficiency, capable of producing trajectories that navigate around the general NFZ in under 5 seconds, underscoring its substantial practical value. © 2024 SPIE.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Learning-Integrated Unit Commitment Optimization Based on GCN-GRU and Load Scenario Clustering 6

Learning-Integrated Unit Commitment Optimization Based on GC...

引用

6th International Conference on Energy, Power and Grid, ICEPG 2024

作者： Du, Sijun Wan, Jingyu Liu, Yifeng Qi, Xin Meng, Fei Shao, Peng Liu, Jun Ding, Tao Xi'an Jiaotong University School of Electrical Engineering Shaanxi Xi'an China State Grid Ningxia Electric Power Co. Ltd Ningxia Yinchuan China China Electric Power Research Institute Jiangsu Nanjing China

ISBN: (纸本)9798350377798

Unit commitment (UC) is a fundamental problem in power systems, typically formulated as a mixed-integer linear programming (MILP) model. As the scale of the system expands, numerous variables and constraints, especially binary variables, impose a significant computational burden on solving the UC problem. This paper proposes a learning-integrated optimization framework to accelerate the solution of the UC problem. First, a graph convolutional network (GCN)-gated recurrent unit (GRU) based model is employed to predict commitment decisions. Next, multiple prediction models are established by clustering load scenarios to reduce learning complexity. Finally, the UC problem is solved by fixing high-confidence predictions through confidence filtering. Case studies conducted on the IEEE 118-bus system using data generated from real-world load scenario characteristics demonstrate that the proposed framework effectively accelerates the solution of the UC problem with only a slight loss in solution quality. © 2024 IEEE.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Research on green multimodal transportation path optimization based on distributionally robust chance constraints with uncertain demand 8

Research on green multimodal transportation path optimizatio...

引用

8th International Conference on Traffic Engineering and Transportation System, ICTETS 2024

作者： Peng, Yu Institute of Logistics Science and Engineering Shanghai Maritime University Shanghai China

ISBN: (数字)9781510686298

ISBN: (纸本)9781510686281

Multimodal container transportation is an effective method for reducing carbon footprint levels. Considering the scenario of uncertain customer demand as well as carbon emission restrictions and cargo damage rate constraints, based on the probability distribution of uncertain demand mean and variance, this paper proposes the worst-case target chance constraint with customer demand being satisfied, establishes a green multimodal transportation route optimization model based on distributionally robust chance constraints with uncertain customer demand, and uses the DR-VaR concept to transform the model into a mixed integer linear programming model, which is then solved precisely. Through sensitivity analysis of the chance-constraint probability level of customer demand, it has been found that changes in the chance-constraint probability level lead to non-linear changes in the total cost. The higher the requirement of the chance-constraint probability level, the more it will increase the total cost of intermodal transportation. Compared to changing the transportation plan, the transportation network generally chooses to increase transportation costs to counter the disturbances of uncertain customer demands, and as much as possible, adhere to the original transportation routes and modes. © 2024 SPIE.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：