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

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Design for shape control of tensegrities

Design for shape control of tensegrities

引用

American Control Conference (ACC)

作者： B. de Jager Department of Mechanical Engineering Technische Universiteit Eindhoven Eindhoven Netherlands

This paper proposes and demonstrates procedures to optimally design tensegrity structures actuation, based on closed loop shape control requirements, while at the same time a feasible path for realizing a desired shape is synthesized. The procedures are employing different optimization based formulations of a set of requirements needed for shape control. The specific procedure demonstrated is based on a mixed integer linear programming formulation, one of the simplest possible. It is possible to formulate the design problem more generally, but then the computations become more involved, inhibiting a real time implementation of the procedure. The demonstration is for a simple planar tensegrity, but the procedures can be applied to more general structures without modification

关键词： Shape control Tendons Bars Actuators mixed integer linear programming Art Biological cells Biological system modeling Force control Mechanical engineering

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Flexibility Provision by Smart Homes in Integrated Energy Management Systems

Flexibility Provision by Smart Homes in Integrated Energy Ma...

引用

International Conference on Environment and Electrical Engineering (EEEIC)

作者： Mohammad Sadegh Javadi Ali Esmaeel Nezhad Pedro H.J. Nardelli Subham Sahoo Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Department of Electrical Engineering School of Energy Systems LUT University Lappeenranta Finland Department of Energy Technology Aalborg University Aalborg Denmark

ISBN: (数字)9781665485371

ISBN: (纸本)9781665485388

This paper presents a mathematical problem formulation for energy management systems for smart homes. The flexibility can be provided by a home energy management system (HEMS) in a local energy community. The main concept is to model the flexibility provision and flexibility procurement within the energy community that can be provided to the aggregator from active consumers. The integrated energy management model is coded as a standard mixed-integer linear programming (MILP) model which can be solved by open-source tools like the PuLP package developed in Python. The simulation results confirm the performance of the proposed model in terms of flexibility provided by the centralized integrated energy system introduced in this paper.

关键词： Home appliances Costs Simulation Smart homes Mathematical models mixed integer linear programming Energy management systems

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Enhanced Power System Restoration Through MILP Black Start Allocation Optimization

Enhanced Power System Restoration Through MILP Black Start A...

引用

IEEE Kansas Power and Energy Conference

作者： Shaharier Kabir Abu Shufian Riadul Islam Nasif Hannan Md. Saniat Rahman Zishan Shaikh Anowarul Fattah Dept. of EEE American International University-Bangladesh Dhaka Bangladesh Dept. of ECE Lamar University Texas USA Dept. of EEE Bangladesh University of Engineering and Technology Dhaka Bangladesh

ISBN: (数字)9798350372403

ISBN: (纸本)9798350372410

Restoring a power system following a blackout is a critical undertaking, necessitating the efficient allocation of Black Start (BS) resources—generators capable of initiating without external power. This research introduces an innovative approach to address a critical challenge in power system restoration—optimal black start allocation. Efficient allocation of resources when power systems face blackouts is crucial for rapid restoration. Leveraging the power of mixed integer linear programming (MILP), this study formulates and solves the black start allocation problem with the primary objective of minimizing allocation costs, all while satisfying many operational constraints. These constraints include ensuring power supply meets demand, adhering to generator output limits and ramping rates, and enforcing time-bound generator startup decisions. Furthermore, it maintains power flow equilibrium and network stability through branch flow and voltage magnitude constraints. This research offers a promising solution to enhance the resilience and reliability of power systems by optimizing the allocation of black start resources. This would reduce downtime ultimately and mitigate the far-reaching impacts of blackouts on society and the economy.

关键词： Voltage Optimal scheduling Power system stability Generators Power system restoration Power system reliability mixed integer linear programming

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Multiobjective Branch-and-Cut Method with Shared Cutting Plane Information: A Case Study on Optimizing Garbage Collection

Multiobjective Branch-and-Cut Method with Shared Cutting Pla...

引用

International Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Tomoki Kaho Kazutoshi Sakakibara Mikiharu Arimura Shinya Watanabe The Graduate School of Engineering Muroran Institute of Technology Muroran Japan Department of Data Science Faculty of Information Engineering Toyama Prefectural University Toyama Japan Department of Engineering Muroran Institute of Technology Muroran Japan Department of Sciences and Informatics Muroran Institute of Technology Muroran Japan

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

This paper presents an application of the Multi-Objective Branch-and-Bound based on Decomposition (MOBB/D) method for Branch-and-Cut, combining branch-and-bound and cutting-plane methods. Traditionally, multi-objective branch-and-bound methods for multi-objective mixed-integer linear programming problems struggle with the large number of Pareto-optimal solutions. MOBB/D addresses this by decomposing multi-objective problems into single-objective subproblems using weight vectors and applying branch-and-bound to each, with information sharing between nearby subproblems. In this paper, we customize the MOBB/D method for Branch-and-Cut to achieve an efficient search by sharing cutting plane information in MOBB/D. We demonstrate our approach with a case study on garbage collection planning in Muroran City, Hokkaido, Japan. This case study combines facility location and route optimization within a multi-objective framework, balancing the burdens on residents and garbage collection workers. Numerical experiments compare execution times and solutions with and without cutting plane sharing, and visualize the impact of different objective balance preferences on route optimization. The results show substantial efficiency gains and provide practical insights for multi-objective optimization in urban planning.

关键词： Visualization Scalability Roads Urban planning Vectors Real-time systems Planning mixed integer linear programming Computational efficiency Optimization

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Spinning reserve estimation in microgrids

Spinning reserve estimation in microgrids

引用

IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific

作者： M. Q. Wang H. B. Gooi School of Electrical & Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781424452293

In this paper, a probabilistic methodology for estimating the spinning reserve in microgrids is proposed. The spinning reserve amount is determined by maximizing the total profit while considering the unreliability of units and uncertainties caused by nondispatchable units and load. In order to reduce the computation burden, various uncertainties are aggregated and rounding to an equivalent distribution. The optimization is solved by mixed integer linear programming.

关键词： Spinning Wind speed Uncertainty Strontium Power system modeling mixed integer linear programming Load forecasting Weibull distribution Energy management Load modeling

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Design Diversity for Mitigating Monoculture Induced Threats

Design Diversity for Mitigating Monoculture Induced Threats

引用

IEEE International Symposim on High Assurance Systems Engineering

作者： Qi Cheng Kevin Kwiat Charles A. Kamhoua School of Electrical and Computer Engineering Oklahoma State University Stillwater OK Information Directorate Air Force Research Laboratory Rome NY

Monoculture induced threats such as "pass the hash" attacks can spread more easily through a system of similar components. Introducing a few different and more robust components in the system has the potential to mitigate such situations. In this paper, we propose a constrained resource allocation optimization framework exploring the binary decision diagram (BDD) and mixed integer linear programming techniques. An illustrative example is provided.

关键词： Security Boolean functions Computers Binary decision diagrams Optimization mixed integer linear programming

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Research on the Mechanism of Electric Vehicle Aggregators Participating in Electricity Market

Research on the Mechanism of Electric Vehicle Aggregators Pa...

引用

International Conference on Power and Energy Technology (ICPET)

作者： Zhu Shunbo Wang Wen Bian Pengfei Shi Tianchen An Guangxiang Li Bo Li Liang Yang Ye State Grid Zhejiang Electric Vehicle Service Co. Ltd. State Grid Zhejiang Electric Power Co. Ltd. Hangzhou China State Grid Smart Internet of Vehicles Company Ltd. Beijing China Beijing Huadian Energy Internet Research Institute Co. Ltd. Beijing China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

The current ownership of Electric Vehicles (EVs) in China is experiencing rapid growth, which presents new challenges to the distribution of electric grid loads. At present, the pricing strategies and demand response mechanisms of EV charging aggregators are of great practical importance, as they guide EV users to charge their vehicles during off-peak hours and alleviate the grid load during peak hours. This paper presents a leader-follower game model in which the aggregator, acting as the leader, sets electricity prices to encourage EV users to charge during off-peak periods, thereby reducing the pressure on the electricity supply during peak periods. In addition, a mixed integer linear programming method is employed to solve the model, ensuring global optimality of the strategy. Empirical evidence indicates that electricity prices should be adaptively adjusted in accordance with seasonal fluctuations and changes in demand in order to maximize the aggregator's revenue and minimize the user's charging costs. This approach is conducive to the deployment of electric vehicles and the advancement of smart grids.

关键词： Costs Electricity Games Pricing Transforms Electricity supply industry Electric vehicle charging mixed integer linear programming Smart grids Load modeling

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Implementation and Flight Test Results of MILP-based UAV Guidance

Implementation and Flight Test Results of MILP-based UAV Gui...

引用

IEEE Conference on Aerospace

作者： T. Schouwenaars M. Valenti E. Feron J. How Laboratory of Information and Decision Systems Massachusetts Institute of Technology Cambridge MA USA Aerospace Controls Laboratory Massachusetts Institute of Technology Cambridge MA USA

This paper discusses the implementation of a guidance system based on mixed integer linear programming (MILP) on a modified, autonomous T-33 aircraft equipped with Boeing's UCAV avionics package. A receding horizon MILP formulation is presented for safe, real-time trajectory generation in a partially-known, cluttered environment. Safety at all times is guaranteed by constraining the intermediate trajectories to terminate in a loiter pattern that does not intersect with any no-fly zones and can always be used as a safe backup plan. Details about the real-time software implementation using CPLEX and Boeing's OCP platform are given. A test scenario developed for the DARPA-sponsored software enabled control capstone demonstration is outlined, and simulation and flight test results are presented

关键词： Unmanned aerial vehicles Aerospace electronics Trajectory Software testing Laboratories Aerospace control mixed integer linear programming Aircraft Packaging Software safety

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A New Trade-off Model for Fuzzy Supply Chain Network Design and Optimization

A New Trade-off Model for Fuzzy Supply Chain Network Design ...

引用

第三届风险分析与危机反应国际学术研讨会

作者： Turan PAKSOY Nimet Yap1c1 PEHLIVAN ErenZCEYLAN Seluk University Department of Industrial Engineering Campus 42031 Konya Turkey Seluk University Department of Statistics Campus 42031 Konya Turkey

This problem includes fuzzy parameters, choosing suppliers according to their quality raw materials and supplier contracts. There is a trade-off between raw material quality, its purchasing and reprocessing costs. If decision maker （DM） wishes to work with a supplier which supplies a low quality raw material, this raw material can be in need of reprocessing. To avoid the reprocessing costs, a supplier which serves a high quality raw material can be chosen but at this time the DM has to face a high purchasing cost. An integrated fuzzy supply chain network system is considered to accomplish problems aforementioned trade-offs above.

关键词： Facility Location mixed integer linear programming Quality Level Fuzzy Supply Chain Management Supplier Contract

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Offering Strategy of Wind Power Producers Considering Strategic Position in Intraday Market

Offering Strategy of Wind Power Producers Considering Strate...

引用

Smart Grid Conference (SGC)

作者： Seyed Milad Mousavi Taghi Barforoushi Faculty of Electrical and Computer Engineering Babol Noshirvani University of Technology Babol Iran

ISBN: (数字)9781665419574

ISBN: (纸本)9781665419581

Significant capacity of wind power producers (WPPs) compared to the total installed generation grants a dominant position to these producers in the market environment. Accordingly, The present study concerns the optimal offering strategy of a strategic WPP. The price-maker WPP offers to day-ahead (DA) and intraday (ID) markets to manipulate prices in order to attain further profits. Also, it compensates its deviations of production in the balancing (BAL) market. The proposed framework is a bi-level model that can be formulated as a mathematical program with equilibrium constraints (MPEC). By utilizing the strong duality theorem, Karush-Kuhn-Tucker (KKT) conditions, and the Fortuny-Amat method the problem is transformed into a mixed-integer linear programming (MILP) model. Demand bids, rival producers' offerings, and wind production are incorporated into the model through scenarios. A 3-bus system and IEEE 24-bus RTS are used as case studies to delineate the efficiency of the methodology.

关键词： Stochastic processes Production Wind power generation Smart grids mixed integer linear programming Mathematical model Optimization

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