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

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Community-Based Energy Sharing using Game Theory Approaches for Benefit Distribution

Community-Based Energy Sharing using Game Theory Approaches ...

引用

International Conference on Intelligent Systems Applications to Power Systems (ISAP)

作者： José Almeida João Soares Steffen Limmer Ehsan Aliyan Ricardo Faia Fernando Lezama Sérgio Ramos Zita Vale GECAD LASI Polytechnic of Porto Porto Portugal Honda Research Institute Offenbach Germany

ISBN: (数字)9798331531751

ISBN: (纸本)9798331531768

This paper is centered on the concept of community-based energy sharing, focusing on the integration of electric vehicles and battery management systems. The study employs mixed integer linear programming optimization techniques to minimize the total energy costs of the entire community by maximizing energy sharing within it. The investigation focuses on exploring methods of distribution of benefits among community members considering BESS and EV demand. The paper explores the midmarket rate, supply-demand rate, Shapley value, and Nucleolus analysis as methods to distribute the benefits generated by the energy community. The analysis contributes to understanding how community-based energy sharing can vary depending on the distribution method. Moreover, the study presents two scenarios with a community of up to 20 agents: PV generation without batteries and PV with batteries, both considering forecasted EV demand. The influence of transactions in the energy community allows for a cost-benefit of around $6 \%$ to $13 \%$. When batteries are considered, the costs are reduced by up to $16 \%$. The benefit distribution schemes are also investigated, and their excess is analyzed for each case.

关键词： Costs Power system stability Predictive models Stability analysis Regulation Batteries mixed integer linear programming Intelligent systems Game theory Optimization

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Distribution planning model with multi-products in a supply chain: a case study in FMCG company

Distribution planning model with multi-products in a supply ...

引用

Logistics and Industrial Engineering (ICLIE), International Conference on

作者： Hien Nguyen Thanh Tran Quynh Le Department of Industrial Systems Engineering Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam Vietnam National University Ho Chi Minh City Ho Chi Minh City Vietnam

ISBN: (数字)9798331510695

ISBN: (纸本)9798331510701

The Fast-Moving Consumer Goods (FMCG) industry, characterized by products with a short shelf life and high consumer demand, faces the challenge of effectively managing transportation costs for product distribution. In this dynamic market, where competition is severe and consumer preferences are constantly changing, the ability to optimize transportation procedures is critical for businesses looking to maintain a competitive advantage. This study introduces a mixed-integer programming approach to daily distribution requirement planning to optimize logistics costs. Utilizing real-world data from an FMCG company, the feasibility and efficacy of our model are demonstrated. The distribution network encompasses two factories, three distribution centers, and delivery across ten provinces with significant outputs. Finally, the model demonstrated that the problem was solved in an acceptable amount of time and provided a realistically optimal solution to the distribution requirement planning problem. This is the input for daily production scheduling in the factory.

关键词： Costs Job shop scheduling Optimization models Transportation Companies programming Production facilities Planning mixed integer linear programming Testing

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Planning strategy based on visibility graph and traveling salesman problem with time window constraints

Planning strategy based on visibility graph and traveling sa...

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International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Mihaela-Alexandra Barb-Ciorbea Marius Kloetzer Cristian Mahulea Dept. of Automatic Control and Applied Informatics "Gheorghe Asachi" Technical University of Iasi Romania Aragón Institute of Engineering Research (I3A) University of Zaragoza Spain

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

This paper addresses the problem of planning the motion of a mobile robot that has to visit some points of interest, each point having a specific time interval in which it can be reached. The robot is omnidirectional and it evolves with constant speed in an environment cluttered with polygonal obstacles. In the case of no obstacles, the problem would be a Travelling Salesman Problem with Time Window (TSPTW) constraints. Our solution is innovative by enabling obstacles for TSPTW scenarios, and it accomplishes this by coupling visibility graphs, graph reduction and mathematical programming. The method first constructs a visibility graph based on the obstacles and points to be visited, and then it maps this graph to another graph whose nodes correspond only to robot’s initial position and points of interest. Finally, a TSPTW problem is solved on the reduced graph by using a mixed integer linear programming (MILP) mathematical formulation, and the solution is projected to the initial environment. The solution development is accompanied by illustrative numerical simulations.

关键词： Computational modeling Traveling salesman problems Numerical simulation Trajectory Planning mixed integer linear programming Time factors Mobile robots Collision avoidance Optimization

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Assessing the Economic Advantages of Integrating Bi-Directional EVSE into HEMS

Assessing the Economic Advantages of Integrating Bi-Directio...

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IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

作者： Sandeep Pabbathi Shatruddha Singh Kushwaha Jinendra Gugaliya Optimization Enphase Solar Energy Pvt.Ltd Bangalore India Enphase Energy Inc. Fremont CA United States

ISBN: (数字)9798350373929

ISBN: (纸本)9798350373936

This paper assesses the economic advantage of bidirectional EVSE integration in Home Energy management System(HEMS) for energy import and export. A framework is proposed for this integration and this framework was tested on a typical home configuration. A comparative study for NEM 3.0 and dynamic tariffs was done by Incrementally adding Photovoltaic (PV) systems, Battery system, a uni-directional EVSE and a bi-directional EVSE into HEMS. This study utilizes publicly available data for these tariffs. This study presents positive results regarding economic advantages and the possibility of extending the framework to create optimized configurations for each homeowner based on their energy needs to maximize benefits.

关键词： Economics Photovoltaic systems Nanoelectromechanical systems Asia Tariffs Bidirectional control Smart grids mixed integer linear programming Vehicle dynamics Energy management systems

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Market Clearing with Renewable Integration, Storage and Network Limits

Market Clearing with Renewable Integration, Storage and Netw...

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Electrical Power Engineering, Communication and Computing Technology(ODICON), Odisha International Conference on

作者： Susovan Dutta Bishaljit Paul Barnali Kundu Chandan Kumar Chanda Department of Electrical Engineering Guru Nanak Institute of Technology Kolkata West Bengal India Department of Electrical Engineering Narula Institute of Technology Kolkata West Bengal India Department of Electrical Engineering IIEST Shibpur Kolkata West Bengal India

ISBN: (数字)9798350354379

ISBN: (纸本)9798350354386

The nature of renewable energy resources is unpredictable because of its heavy reliance on meteorological conditions. Energy Storage Systems (ESS) can be placed in power systems to help mitigate these risks and give customers uninterrupted electricity. The best planning and scheduling for energy storage systems (ESSs) for managing congestion in electric power systems with renewable energy sources is presented in this research. The suggested issue determines the ideal ESS capacity and charging/discharging schedule through mixed integer linear programming. Efficient charging and discharging of energy storage systems (ESSs) is the key to managing network congestion and the mitigation of uncertain renewable supplies. In this paper it is revealed that the power producer optimally traded the power in the electricity market during a 6-h planning segment of a wind-power plant combined with a storage with maximizing the profit keeping in view of congestion free power flow.

关键词： Renewable energy sources Schedules Software algorithms Virtual power plants Data models Software Smart grids Power systems mixed integer linear programming Energy storage

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Two-Timescale Rolling Dispatch of RCs and MESSs During Distribution System Restoration

Two-Timescale Rolling Dispatch of RCs and MESSs During Distr...

引用

IEEE International Conference on Power and Energy Applications (ICPEA)

作者： Ruifeng Zhao Wenxin Guo Jiangang Lu Min Zhao Jiaxu Du Electric Power Dispatching and Control Center of Guangdong Power Grid Co. Ltd Guangzhou China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China

ISBN: (数字)9798350356113

ISBN: (纸本)9798350356120

To repair distribution networks damaged by hurricanes, mobile energy storage systems (MESSs), wind energy, and repair collaborates (RCs) are typically arranged. But still, hurricanes can continue to cause damage during restoration, leading to new faults and interruptions in wind power. To address these issues, this paper introduces a two-stage rolling dispatch method across two timescales, taking into account the different response speeds of vehicle scheduling and system operations. Over an extended period, the scheduling of MESSs and RCs vehicles is optimized by the use of rolling optimization framework in the first-stage model to handle following faults, and projected wind speeds and load needs. Distributed generators (DGs) and MESS output decisions are made with real-time value on a short timescale. To make solving the nonlinear wind power cut-off model easier, it is also converted into a mixed-integer linear programming form. The approach is validated using the modified IEEE-69 distribution network. Results show that this approach effectively coordinates resources, reduces load loss, and improves system resilience to wind power cut-offs and faults during hurricanes.

关键词： Fault tolerance Distribution networks Wind power generation Maintenance engineering Hurricanes Real-time systems mixed integer linear programming Optimization Load modeling Energy storage

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Carbon-Efficient Sitting of Electric Bus Charging Stations in Yangjiang City

Carbon-Efficient Sitting of Electric Bus Charging Stations i...

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International Conference on Power and Energy Technology (ICPET)

作者： Xiaofei You Xiangjun Liu Chaoxian Wu School of Systems Science and Engineering Sun Yat-sen University Guangzhou China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

As the global climate change problem becomes increasingly severe, achieving carbon peaking and carbon neutrality has become a common goal pursued by all countries. As one of the important sources of carbon emissions, urban transportation's green transformation is particularly critical. This article takes the electric bus system in Yangjiang City as the research object and discusses the configuration strategy of electric bus charging stations in the city. The problem is expressed as a mixed integer linear programming problem, and a charging station location planning model is established. With the goal of minimizing the cost of building electric bus charging stations and minimizing the carbon emissions of electric bus charging, a mixed integer linear programming method is used to solve the problem.

关键词： Climate change Costs Urban areas Buildings Transportation Charging stations Carbon neutral Air pollution mixed integer linear programming Planning

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Eigenvalues of Time-invariant Max-Min-Plus-Scaling Discrete-Event Systems

Eigenvalues of Time-invariant Max-Min-Plus-Scaling Discrete-...

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European Control Conference (ECC)

作者： Sreeshma Markkassery Ton Van Den Boom Bart De Schutter Faculty of Mechanical Engineering Delft University of Technology Delft Netherlands

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

This paper proposes an approach to find the eigenvalues and eigenvectors of a class of autonomous max-min-plus-scaling (MMPS) systems. First we show that time invariant, monotone and non-expansive MMPS systems with only time variables has a unique structural eigenvalue and eigenvector under some conditions. Then, we propose a mixed integer linear programming (MILP) algorithm to calculate the eigenvalue and the corresponding eigenvector for such systems. Finally, we present a modified linear programming (LP) algorithm to find all the eigenvalues of a general time invariant MMPS system.

关键词： Europe Minimax techniques linear programming Control systems Eigenvalues and eigenfunctions Stability analysis mixed integer linear programming

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Port Distributed Energy Management Considering USVs Charging and Discharging in Polymorphic Network

Port Distributed Energy Management Considering USVs Charging...

引用

International Conference on Information Science and Technology (ICIST)

作者： Qi Qu Fei Teng Qi Xu Navigation College Dalian Maritime University Dalian China College of Marine Electrical Engineering Dalian Maritime University Dalian China Zhejiang Lab Research Institute of Intelligent Networks Hangzhou China

ISBN: (数字)9798350353334

ISBN: (纸本)9798350353341

To reduce the environmental impact of port carbon emissions and promote the sustainable development of ports, this paper proposes a port distributed energy management strategy considering the charging and discharging of unmanned surface vehicles (USVs) under the polymorphic network. Firstly, taking into account the trend of continuous automation of ports, data centers are used to meet the ports' growing computing power needs. A data center power consumption calculation model considering data processing delay constraints is proposed. Secondly, taking the port microgrid operating cost, the main grid electricity purchase or sales cost, carbon cost, data center operating cost and USVs charging and discharging cost as objective functions, a port distributed energy management model considering USVs charging and discharging is established. Then, a distributed algorithm based on mixed integer linear programming is proposed to solve the problem. Finally, simulation results demonstrate the effectiveness of the proposed method.

关键词： Costs Computational modeling Electricity Microgrids linear programming Data models mixed integer linear programming Energy management Distributed algorithms Data center power

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Optimizing Mobile Robot Fleet Distributions in Solar Farms

Optimizing Mobile Robot Fleet Distributions in Solar Farms

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IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

作者： Duarte Cerdeira Rui Bettencourt Alberto Vale Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Instituto de Sistemas e Robótica Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Instituto de Plasmas e Fusão Nuclear Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal

ISBN: (数字)9798331538606

ISBN: (纸本)9798331538613

The maintenance and cleaning of solar farms make up a significant portion of their operational costs. Recently, the use of robots to perform these tasks has gained popularity, requiring efficient routing for their effective deployment. To further complement their missions, charging stations can be strategically placed throughout the site which enable robots to recharge mid-operation. This work addresses this challenge by modelling the problem as a multiple travelling salesmen problem and developing a mixed integer linear programming formulation. Four different solution methods were implemented: a brute force method, a random method, a genetic algorithm based method, and an exact approach. In addition, a search strategy was developed that adds charging stops to existing tours, extending existing MTSP algorithms for problems with battery or fuel constraints.

关键词： Scalability Solar farms Charging stations Search problems Routing mixed integer linear programming Maintenance Mobile robots Optimization Genetic algorithms

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