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检索条件"主题词=Mixed integer linear programming"

共 3318 条记录，以下是961-970 订阅

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Analyzing the Impact of Pricing Strategies on Economic Fairness in Energy Communities

Analyzing the Impact of Pricing Strategies on Economic Fairn...

引用

IEEE General Meeting Power& Energy Society

作者： Calvin Goncalves Fernando Lezama Zita Vale Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) LASI - Polytechnic of Porto Porto Portugal

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

This article proposes a comprehensive framework encompassing energy sharing optimization, pricing schemes for energy transactions, and fairness metrics to validate the profit distribution of members in an energy community. First, a mixed-integer linear programming model is introduced to optimize energy sharing among the members of an energy community. Second, the study provides insights into the impact of four pricing mechanisms on economic fairness within the energy community. Finally, to validate the profit distribution, two fairness metrics assessing the quality of experience and the profit gaps are integrated to ensure economic equity within the energy community. The results shed light on the achieved level of fairness, evaluating the effectiveness of diverse pricing methods and the collaborative energy-sharing dynamics within the energy community.

关键词： Measurement Costs Scalability Buildings Collaboration Pricing mixed integer linear programming Quality of experience Sustainable development Optimization

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A Bi-level Optimization Method for Economic Operation of Integrated Energy Systems

A Bi-level Optimization Method for Economic Operation of Int...

引用

Energy, Power and Electrical Technology (ICEPET), International Conference on

作者： Zhijia Wu Ya Sun Shuangchen Yuan State Grid Tianjin Chengxi Electric Power Supply Branch Tianjin China Binhai Power Supply Branch of State Grid Tianjin Electric Power Company Tianjin China

ISBN: (数字)9798350352658

ISBN: (纸本)9798350352665

This research aims to propose a bi-level optimization method to lower the cost for integrated energy systems(IES). In the first level, the electrical load is categorized an adjusted by particle swarm optimization algorithm. Then in the second level, the operation cost of IES is minimized by optimizing the output of micro sources in IES which contains a gas-fired generator, an energy storage system, a wind driven generator and a photovoltaic module. This model can be transferred and computed by the mixed integer linear programming method. In the case study, the operation costs solved by the bi-level optimization method and single level method are compared. The output of micro sources is also analyzed. The results demonstrate that the economic performance of IES can be improved to some extent by the proposed method.

关键词： Wind energy generation Costs Optimization methods Generators mixed integer linear programming Solar panels Particle swarm optimization

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Optimizing the Process of Scenario-driven V2X Applications Testing

Optimizing the Process of Scenario-driven V2X Applications T...

引用

International Conference on Computers, Communications, and Systems (ICCCS)

作者： Sali Moussa Junyan Ma School of Information Engineering Chang'an University Xi'an China

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

This paper aims to optimize the V2X (Vehicle-to-Everything) application testing process by minimizing evaluation time and maximizing resource utilization in a given test field. Our contributions include (1) Development of the Maximization of Scenarios per Km for a Given Test Field (MSK-GTF) algorithm. This algorithm finds the optimal route to maximize the number of scenarios per distance, optimizing resource usage and evaluation time. (2) Introduction of the Optimal Route Search for given test case scenarios (ORS-GTCS) algorithm. ORS-GTCS identifies the optimal route, minimizing costs while fulfilling the required test scenarios. It employs mixed-integer linear programming for optimization.

关键词： Costs Roads Planning mixed integer linear programming Resource management Vehicle-to-everything Optimization

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Collaborative Optimization of Capacity Scheduling for Near Zero-Carbon Public Building Co-Generation System

Collaborative Optimization of Capacity Scheduling for Near Z...

引用

IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Hao Sun Su Guo Rongfei Dai Ting Gong Huiying Fan Tianxiao Yan Hohai University College of Renewable Energy Nanjing China Hohai University College of Electrical and Power Nanjing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

This paper constructs a near-zero carbon co-generation system using environmental protection equipment, and further puts forward the operation strategy of cooperative optimization of system capacity and scheduling. The outer layer of the optimization model takes the cost and carbon emission minimization as the objective of multi-objective capacity optimization, and uses NSGAII algorithm to solve it. In the inner layer, the operation strategy is optimized with the goal of minimum power deviation, and the solution is solved by mixed integer linear programming. The case study verifies the economy and environmental protection of the proposed system, and verifies the superiority of the proposed strategy over the rule-based optimization method.

关键词： Energy consumption Uncertainty Optimization models Collaboration Carbon dioxide Minimization mixed integer linear programming Protection Optimization Network systems

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Towards the Creation of Legible Octilinear Power Grid Diagrams Using integer linear programming

Towards the Creation of Legible Octilinear Power Grid Diagra...

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On-Line Conference (ONCON), Industrial Electronics Society Annual

作者： Kate Clarke Paul Cuffe School of Electrical & Electronic Engineering University College Dublin Dublin Ireland

ISBN: (数字)9798331540319

ISBN: (纸本)9798331540326

This paper adapts an integer optimization method for the creation of legible power grids diagrams. Specifically, techniques developed for the automatic production of octilinear metro map diagrams of urban transport networks are applied to power grids. Layout legibility constraints are imposed to optimize diagram clarity and operational usability while properly representing the intricate topologies inherent in power grids. The technique is applied to a number of power grids from various European nations. These early findings demonstrate the potential for algorithms to automatically generate grid diagrams that are neat, attractive and an apt base layer for the overlay of real-time network data.

关键词： Industrial electronics Network topology Layout Optimization methods Production Power grids Real-time systems Topology mixed integer linear programming Usability

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Automatic Layout of One-Line Diagrams for Large Transmission Systems Based on Graph Partitioning

Automatic Layout of One-Line Diagrams for Large Transmission...

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IEEE General Meeting Power& Energy Society

作者： Chen Yang Jingyu Wang Dongyuan Shi School of Electrical and Electronic Engineering Huazhong University of Science and Technology

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

One-line diagrams are widely used in power system applications, but their automatic layout remains a challenge. Currently, most approaches are dedicated to solving the layout of small-scale power transmission systems to produce aesthetically pleasing one-line diagrams. To extend them to large-scale systems, this paper proposes an integrated framework for the automatic layout of one-line diagrams based on graph partitioning. Graph partitioning allows a large graph to be divided into multiple subgraphs, and the layout for each subgraph is optimized using mixed-integer linear programming (MILP). These optimized subgraphs are then reassembled into a large graph using the subgraph assembly algorithm and the tie-line routing strategy. The case studies demonstrate that the proposed framework can efficiently generate one-line diagrams that satisfy aesthetic criteria. The output layout can preserve the relative position of nodes as in the original layout, which significantly improves its readability. Moreover, the time consumption of the proposed framework is acceptable for practical use.

关键词： Layout Software algorithms Power transmission Parallel processing Routing Software Partitioning algorithms mixed integer linear programming Assembly Optimization

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Energy Management System for a Prosumer with Vehicle-to-Home: a Case Study in Italy

Energy Management System for a Prosumer with Vehicle-to-Home...

引用

International Conference on Smart Energy Systems and Technologies (SEST)

作者： Gabriel Ellemund Matteo Fresia Stefano Bracco Environmental Process & Energy Engineering MCI| The Entrepreneurial School® Innsbruck Austria DITEN Department University of Genoa Genoa Italy

ISBN: (数字)9798350386493

ISBN: (纸本)9798350386509

This paper proposes an Energy Management System (EMS) based on a mixed-integer linear programming (MILP) optimisation model, implemented in Matlab/Yalmip and solved by Gurobi, used to manage a private house acting as a prosumer in the province of Bolzano, Italy. The house is equipped with a Photovoltaic (PV) plant and a Battery Energy Storage System (BESS). The building is connected to the low-voltage distribution grid and the integration of an Electric Vehicle (EV) with a dedicated charging wall-box is considered as a further scenario. In the first phase of the analysis, the performance of the system is examined without the inclusion of the EV, comparing the results of the developed EMS with real-world data. This phase aims to test the effectiveness of the proposed EMS, if compared to the one supplied by the PV and BESS provider: in the two representative months, January and August, the proposed EMS allows a reduction of net operating costs of 10.0 % and 1.9 % respectively. In the second phase of the analysis, the integration of the EV into the household context is considered, enabling Vehicle-to-Home (V2H). Economic and energy Key Performance Indicators (KPIs) show the effectiveness of the proposed EMS and the beneficial effects of EV and V2H integration, as proved by a Self-Consumption Rate (SCR) of 92.9 % in January and by a Self-Sufficiency Rate (SSR) of 99.9 % in August.

关键词： Photovoltaic systems Costs Sensitivity analysis Optimization models Power markets mixed integer linear programming State of charge Energy management Energy management systems Petroleum

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Optimization of Heavy Haul Train Speed Profiles Under Discrete Notches and Nonlinear Braking Forces

Optimization of Heavy Haul Train Speed Profiles Under Discre...

引用

International Conference on Intelligent Transportation

作者： Zhiyuan Zhang Hongwei Wang Xi Wang Jun Jin Zhipeng Ying Pengfei Ning School of Automation and Intelligence Beijing Jiaotong University Beijing China China State Railway Group Co. Ltd. Beijing China Signals and Communication Research Institute China Academy of Railway Sciences Beijing China State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing P. R. China Collaborative Innovation Center of Railway Traffic Safety Beijing Jiaotong University Beijing China

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

Due to the large mass of heavy haul trains, operating on downhill sections poses significant challenges on train control. Drivers must perform air braking and releasing at the appropriate times to prevent the movement of heavy hual train from decoupling and derailment. To promote the smooth operation of the heavy haul train, this research investigates the optimization problem of heavy haul train speed profiles under discrete notches and nolinear braking forces. An optimization model is first established considering constraints such as speed and air-refilling time to maximize the running distance and minimize the air braking time of a train on downhill sections. This model takes into account discrete notches of electric braking force, each with a nonlinear braking profile. To linearize the model, piecewise approximation (PWA) function and auxiliary variables are introduced, transforming the original problem into a mixed integer linear programming (MILP) problem. The proposed MILP problem is then solved using a solver. Simulations using actual data from the Shuohuang Railway illustrate the effectiveness of the proposed methods.

关键词： Atmospheric modeling Railway accidents Optimization models Force linear programming Rail transportation Data models mixed integer linear programming Optimization Intelligent transportation systems

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Job Shop Scheduling Under Time-of-Use Electricity Prices

Job Shop Scheduling Under Time-of-Use Electricity Prices

引用

International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Jingwei Dai Yaowen Yu School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

Job shop scheduling is an important problem in the operations of manufacturing systems and has great potential for improving electricity efficiency. This paper studies an energy-aware job shop scheduling problem that aims to minimize the total energy cost and total weighted tardiness by selecting an optimal job schedule, considering operation and other constraints. To efficiently model operation constraints and to consider different machine types, a new set of linear integer constraints is developed. The energy-aware job shop scheduling problem considering time-of-use (TOU) electricity prices is then formulated as a mixed-integer linear programming (MILP) problem and solved using the branch-and-cut method. Numerical results tested against three examples demonstrate the computational efficiency and solution quality of our method.

关键词： Schedules Electric potential Job shop scheduling Costs Electricity Computational modeling Numerical models mixed integer linear programming Robots Manufacturing systems

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Adaptive Heuristic Method Based on Reduced Costs and Physical Characteristics of Power Grid

Adaptive Heuristic Method Based on Reduced Costs and Physica...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Shengnan Xu Qiang Ding Yanguang Chen Linghao Li Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China 5Paradigm Technology (Shenzhen) Co. Ltd. Shenzhen China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

In order to improve the efficiency of solving unit commitment problems, an adaptive heuristic method based on reduced costs and physical characteristics of the power grid is proposed to address the problem of large scale, complex constraints and variables, and difficulty in finding high-quality feasible solutions. Firstly, the physical characteristics of the power grid, the optimal solution to the relaxation problem, and the reduced costs of 0-1 variables for the power model are identified and obtained. Then, based on the model characteristics and relaxation information, accurate variable values are fixed and induced, and the number of fixed variables is adjusted according to the feasibility of constraints until all constraints are met. Finally, finding the optimal solution to the problem with fixed variables. The test results of the numerical examples show that the algorithm can quickly obtain high-quality feasible solutions to the original problem, effectively improving the efficiency of solving the unit commitment problem.

关键词： Costs Accuracy Heuristic algorithms Energy Internet System integration Power grids Numerical models mixed integer linear programming Object recognition

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