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

共 2279 条记录，以下是631-640 订阅

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Minimize the Rest Differences in Round Robin Tournaments under an Initial Schedule 6

Minimize the Rest Differences in Round Robin Tournaments und...

引用

6th International Conference on Control and Robotics, ICCR 2024

作者： Shang, Zhiyuan Xue, Fei Wang, Wushuang Shigeno, Maiko University of Tsukuba Tsukuba Japan

ISBN: (纸本)9798331518158

Fairness is a crucial element in sports tournaments, with numerous indicators devised to ensure balanced competitions. To minimize rest differences, which means the rest time difference between two opponents, previous research has proposed a mixed-integer programming Model for Rest Difference Problem(MIP-RDP), basing on this foundation, the paper proposes a mixed-integer programming Model with Initial Schedule(MIP-RDPIS) to improve computational efficiency. Additionally, we employ a meta-heuristic algorithm called discrete Jaya to investigate the effects of various initial schedules on the algorithm's performance. Our computational results indicate that for a small number of teams, the MIP-RDPIS closely approximates the model without initial schedules. The heuristic algorithm, which incorporates round swap and matchday swap, demonstrates superior performance on larger-scale problems. We conclude that by leveraging existing initial schedules and avoiding extensive alterations within a single round, we can approach optimal solutions more effectively. For large-scale problems, our method offers improved match scheduling solutions compared to existing approaches. © 2024 IEEE.

关键词： mixed-integer linear programming

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User Cost Differences under Five Capacity Adequacy Mechanisms Based on Equilibrium Analysis 8

User Cost Differences under Five Capacity Adequacy Mechanism...

引用

8th International Conference on Smart Grid and Smart Cities, ICSGSC 2024

作者： Ma, Ning Yang, Lei Feng, Yuanhao Yang, Xingang Du, Yang Zhou, Yun European Representative Office State Grid Corporation China Berlin Germany Electric Power Company State Grid Shanghai Municipal Shanghai China Shanghai Jiao Tong University Dept. of Electrical Engineering Shanghai China Power Research Institute State Grid Shanghai Electric Shanghai China

ISBN: (纸本)9798350377408

Capacity adequacy mechanisms are crucial pathways to ensure reliable power supply in electricity grids and are coupled with the spot electricity market. However, current studies on the impact of capacity adequacy mechanisms on the electricity market do not simultaneously consider the strategies of power generators regarding bidding, investment, and capacity sales, as well as the strategic behaviors among multiple stakeholders. To address this, we propose game-theoretic equilibrium models for multiple power generators under five typical capacity adequacy mechanisms: scarcity pricing, strategic reserve, capacity subsidy, capacity market, and reliability options. Firstly, we establish a two-layer game model for each capacity adequacy mechanism: the upper layer is the strategic optimization model for power generators, and the lower layer is the day-ahead market clearing model. Secondly, by using the optimality conditions of the lower model and a series of precise linearization methods, the two-layer models are transformed into several mixed-integer linear programming problems, and the game equilibrium is iteratively solved using a dynamic game framework. Case studies show that, compared to scarcity pricing mechanisms, reliability options can suppress the market power abuse by power generators during high-load periods and lead to a market equilibrium with lower user costs, while the other three mechanisms can only maintain or increase user costs. © 2024 IEEE.

关键词： mixed-integer linear programming

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Economic Optimizer for Building Energy Rating 26

Economic Optimizer for Building Energy Rating

引用

2024 IEEE International Conference on Automation/26th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2024

作者： Legal, Daniel Fuentes, Carlos Chavez, Hector Perez, Roberto Riquelme, Esteban Universidad de Santiago Center for Sustainable Energy Systems Santiago Chile

ISBN: (纸本)9798350378115

The construction sector is responsible for emitting 30% of worldwide greenhouse emissions. Sustainable construction addresses this problem by designing infrastructures under the energy-efficient concept. This paper presents an energyefficient optimal methodology for designing the thermal envelope and energy support technologies of the infrastructure, according to the energy qualification established in 21.305 law. The methodology consists of carrying out a mathematical formulation of the optimization problem for an energy solution implementing a Home Energy Rating (CEV) as an input parameter, which allows obtaining specific results for all the elements that participate in the property's requirement. Specifically, simulations were carried out of a house located in the north and south of Chile considering different parameters such as floor, walls, windows, etc. Simulating in each area and restricting the energy rating where the sensitivity of the problem to the different parameters is observed. Finally it is possible to conclude about the minimum energy requirements. © 2024 IEEE.

关键词： mixed-integer linear programming

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Optimal Scheduling of Programmable Appliances for Demand Management in Energy Communities 10

Optimal Scheduling of Programmable Appliances for Demand Man...

引用

10th International Conference on Optimization and Applications, ICOA 2024

作者： Lazzeroni, Paolo Lorenti, Gianmarco Canova, Aldo Repetto, Maurizio Politecnico di Torino Dipartimento Energia 'Galileo Ferraris' Turin Italy

ISBN: (纸本)9798350387353

Increasing the share of Renewable Energy Sources (RES) in energy consumption is perceived today as essential to decarbonizing energy systems. In this context, the Renewable Energy Communities (RECs) have been recently introduced to create a more decentralized energy system, where each member may share RES-based energy production to increase local self-consumption. To maximize the benefits for each member, the RES-based energy generation should match the demand. Thus, demand management may contribute in this regard by introducing load-shifting for the electric appliances used by REC's members. In this view, different modeling approaches are proposed as mixed integer linear programming and mixed integer Quadratic programming. Solutions can be used to suggest possible changes to the end-users' current habits. Simulations are performed to compare energy, economic, and environmental Key Performance Indicators, including self-consumption, self-sufficiency, and CO2 emission savings. © 2024 IEEE.

关键词： mixed-integer linear programming

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A REINFORCEMENT LEARNING APPROACH FOR PRODUCTION SCHEDULING IN INDUSTRY 4.0 CONSIDERING LIMITED DATA

A REINFORCEMENT LEARNING APPROACH FOR PRODUCTION SCHEDULING ...

引用

ASME 2024 International Mechanical Engineering Congress and Exposition, IMECE 2024

作者： Lopez-Salazar, Camilo Ekwaro-Osire, Stephen Ekwaro-Osire, Henry Hopfmüller, Stephan Dept. of Mechanical Engineering Texas Tech University United States BIBA - Bremer Institut für Produktion und Logistik Bremen Germany Bremen Germany

ISBN: (纸本)9780791888698

As the global pursuit of net-zero emissions by 2050 intensifies, the role of renewable energy sources such as solar photovoltaics becomes increasingly relevant. However, their intermittent nature and energy price volatility present challenges for energy-intensive sectors like manufacturing. Integrating renewables into production schedules emerges as a strategy to mitigate costs and environmental impact. Industry 4.0 technologies, particularly machine learning, offer opportunities for optimizing energy consumption. This paper introduces a NeuroEvolution of Augmented Topologies (NEAT) algorithm for energy management operations tailored for industrial prosumers. Inspired by the evolution of biological nervous systems, NEAT evolves a neural network's topology and parameters to make optimal decisions for a given environment. The study's objective is to generate a day-ahead energy schedule that considers renewable energy and primary grid utilization using limited information on the system's current state. A comparative analysis between the NEAT scheduler, a traditional supervised learning-based scheduler, and a deterministic mixedinteger linear programming (MILP) solver as a baseline demonstrates the effectiveness and robustness of the proposed method, which reduced the electricity bill by 18.69% over one week of real data simulation, using just six hours of previous measurements. Copyright © 2024 by ASME.

关键词： mixed-integer linear programming

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Differentiable Distributionally Robust Optimization Layers 41

Differentiable Distributionally Robust Optimization Layers

引用

41st International Conference on Machine Learning, ICML 2024

作者： Ma, Xutao Ning, Chao Du, Wenli Department of Automation Shanghai Jiao Tong University Shanghai200240 China The Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China

In recent years, there has been a growing research interest in decision-focused learning, which embeds optimization problems as a layer in learning pipelines and demonstrates a superior performance than the prediction-focused approach. However, for distributionally robust optimization (DRO), a popular paradigm for decision-making under uncertainty, it is still unknown how to embed it as a layer, i.e., how to differentiate decisions with respect to an ambiguity set. In this paper, we develop such differentiable DRO layers for generic mixed-integer DRO problems with parameterized second-order conic ambiguity sets and discuss its extension to Wasserstein ambiguity sets. To differentiate the mixed-integer decisions, we propose a novel dual-view methodology by handling continuous and discrete parts of decisions via different principles. Specifically, we construct a differentiable energy-based surrogate to implement the dual-view methodology and use importance sampling to estimate its gradient. We further prove that such a surrogate enjoys the asymptotic convergency under regularization. As an application of the proposed differentiable DRO layers, we develop a novel decision-focused learning pipeline for contextual distributionally robust decision-making tasks and compare it with the prediction-focused approach in experiments. Copyright 2024 by the author(s)

关键词： mixed-integer linear programming

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Signal Temporal Logic Based Vehicle Trajectory Planning Under Mandatory Stop Rule for Heavy Vehicle Right Turns at Signal-Free Intersections 27

Signal Temporal Logic Based Vehicle Trajectory Planning Unde...

引用

27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024

作者： Zuo, Wanqing Xu, Yunwen Chen, Youren Li, Dewei School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China

ISBN: (纸本)9798331505929

The blind spots of heavy vehicles during right turns arise a safety concern for traffic. Hence, the regulation mandating heavy vehicles to come to a complete stop before making right turns is crucial in ensuring intersection safety. However, the current trajectory planning methods struggle to integrate these traffic regulations, and the restrictions imposed by such traffic rules greatly impact traffic efficiency at intersections. This paper proposes a signal temporal logic (STL) based trajectory planning method for connected and autonomous vehicles (CAVs) at a signal-free intersection, where traffic rules for heavy vehicles are conveniently described by STL formulas. All CAVs at the intersection are modeled without predefined paths to enhance the flexibility of trajectories. Each STL formula is encoded in a standardized way as a conjunction of inequality and equality constraints for the optimization, and the whole trajectory planning of CAVs is achieved through solving a mixed-integer nonlinear programming (MINLP) problem. Simulation results indicate that our method improves traffic efficiency in the scenario with heavy vehicles right turns. © 2024 IEEE.

关键词： mixed-integer linear programming

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Flexibility within market coupling in Southeast Europe 3

Flexibility within market coupling in Southeast Europe

引用

3rd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2024

作者： Koltsaklis, Nikolaos E. Sabanci University Faculty of Engineering and Natural Sciences Istanbul Turkey

ISBN: (纸本)9798350375923

This work addresses the problem of optimizing the energy market-clearing of an integrated power system in a coupled market. More specifically, a wide range of market products (simple hourly, block, and complex orders) are simulated in order to determine the optimal energy allocation. Apart from conventional power plants, a series of flexibility service providers are also modeled, including electricity storage systems and electric vehicles under various smart charging and discharging options. The overall methodological framework is based on mixed-integer programming techniques and is tested in the integrated Greek-Bulgarian-Romanian power system as planned for 2030. A series of scenarios have also been examined to investigate the impacts of parameters such as PV availability, electricity demand, EV penetration, and natural gas and CO2 emission prices. The results highlight the impacts of market coupling in a series of fundamentals such as resulting energy mix, cross-border electricity flows, and environmental impact in terms of CO2 emissions. It also underscores the role of flexible resources in alleviating the impacts of intermittency injected into the power systems through variable renewable energy sources. System operators, regulatory authorities, and potential investors can utilize the optimization framework developed to quantify the short-term dynamics of coupled electricity market operations and optimize the management of their resources and portfolios. © 2024 IEEE.

关键词： mixed-integer linear programming

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Collaborative Planning of Fast Charging Stations with Solar PV in Urban Power and Mobility Systems 50

Collaborative Planning of Fast Charging Stations with Solar ...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Sun, Xiuchuan Xu, Qianwen Division of Electric Power and Energy Systems KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781665464543

Wide deployment of electric vehicles (EVs) requires the investment of new charging infrastructures and brings the security issues on the grid. In this paper, a two-stage collaborative planning strategy is proposed for location selection of fast charging stations (FCSs) to achieve optimal planning and scheduling with guaranteed constraints of power network (PN) and transportation network (TN). In the scheduling model, a mixed-integer linear programming (MILP) model is formulated based on the integration of a PN and a TN, in which an extended road model is established with consideration of various vehicle types, such as EVs and gasoline vehicles (GVs), to achieve optimal operation of the coupled power and transportation systems. In the planning model, FCSs and solar PV systems are established considering both investment and scheduling costs. Finally, the SOS2 method is used to linearize the TN model and the particle swarm-genetic algorithm (PSO-GA) is used to solve the nonlinearity caused by the coupling between the planning model and the scheduling model. The effectiveness and applicability of the proposed planning strategy are validated using the IEEE 33 bus power system and 12 node transportation system. © 2024 IEEE.

关键词： mixed-integer linear programming

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Study on the Optimal Operation Method of Electric-Thermal Coupling Microgrid 8th

Study on the Optimal Operation Method of Electric-Thermal Co...

引用

8th International Conference on Energy and Environmental Science, ICEES 2024

作者： Hua, Ke Li, Zhenwei Wang, Zhichao Shao, Jingwei Cai, Zhongqin Smart Grid Heilongjiang Electric Power Company Limited Heilongjiang Harbin150090 China Harbin Institute of Technology Heilongjiang Harbin150001 China

ISBN: (纸本)9783031639005

In this paper, the optimal operation method of electric-thermal coupling microgrid under the influence of many factors is studied. Firstly, the composition and structure of the electric-thermal coupling microgrid are introduced, and the models of various devices are established. Secondly, an objective function is established to minimize the daily operating cost of the microgrid, considering the demand response, the uncertainty, and the system constraints. Thirdly, considering that the constructed model is a mixed integer nonlinear programming problem, which is extremely difficult to solve, this paper uses the big-M method and piecewise linearization method to transform the model into a mixed integer linear programming problem. Finally, the impact of demand response, uncertainty and energy storage devices on microgrid is analyzed through a numerical example. The results show that considering demand response and energy storage devices can reduce the system operating cost. The uncertainty has a greater impact on the system operating cost, appropriate uncertainty parameters should be selected to make a trade-off between economy and security. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： mixed-integer linear programming

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