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Optimal Residential Battery Scheduling with Asset Lifespan Consideration 10

Optimal Residential Battery Scheduling with Asset Lifespan C...

10th IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) - Smart Grids - Key Enablers of a Green Power System

作者： Couraud, Benoit Norbu, Sonam Andoni, Merlinda Robu, Valentin Gharavi, Hani Flynn, David Heriot Watt Univ Smart Syst Grp Edinburgh Midlothian Scotland

ISBN: (纸本)9781728171005

Recent development of renewable generation and increasing penetration of electric vehicles have led to large volumes of residential battery storage systems connected at distribution networks. In this paper, we propose a control algorithm for residential batteries that determines optimal day-ahead battery scheduling and operation with the aim to minimize household energy bills and in the context of dynamic Time of Use (ToU) electricity tariffs. The proposed formulation of the optimization problem takes into consideration the battery's depreciation cost, which is determined by the accurate enumeration of battery cycles, including partial cycling i.e. battery cycles that do not start or end at 100% of State of Charge (SoC). A key advantage of the proposed formulation is that the problem can be solvable by use of linear programming. In addition, we study and compare the benefits of the optimisation-based algorithm with lifespan consideration to a simple heuristic-based battery control scheme and an optimisation-based algorithm without battery lifecycle consideration. Results show that battery lifespan consideration in the optimization algorithm does not necessarily yield to lower prosumer energy bills, when compared to other approaches, but it can lead to a lower depreciation cost of the battery.

关键词： Battery management system distributed generation linear programming optimization smart grids

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An LP Approach for Solving Two-Player Zero-Sum Repeated Bayesian Games

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2019年第9期64卷 3716-3731页

作者： Li, Lichun Langbort, Cedric Shamma, Jeff FAMU FSU Coll Engn Tallahassee FL 32311 USA Univ Illinois Champaign IL 61801 USA King Abdullah Univ Sci & Technol Thuwal 23955 Saudi Arabia

This paper studies two-player zero-sum repeated Bayesian games in which every player has a private type that is unknown to the other player, and the initial probability of the type of every player is publicly known. The types of players are independently chosen according to the initial probabilities, and are kept the same all through the game. At every stage, players simultaneously choose actions, and announce their actions publicly. For finite horizon cases, an explicit linear program is provided to compute players' security strategies. Moreover, this paper shows that a player's sufficient statistics, which is independent of the strategy of the other player, consists of the belief over the player's own type, the regret over the other player's type, and the stage. Explicit linear programs, whose size is linear in the size of the game tree, are provided to compute the initial regrets, and the security strategies that only depends on the sufficient statistics. For discounted cases, following the same idea in the finite horizon, this paper shows that a player's sufficient statistics consists of the belief of the player's own type and the antidiscounted regret with respect to the other player's type. Besides, an approximated security strategy depending on the sufficient statistics is provided, and an explicit linear program to compute the approximated security strategy is given. This paper also obtains a bound on the performance difference between the approximated security strategy and the security strategy, and shows that the bound converges to 0 exponentially fast.

关键词： Bayesian game linear programming optimization

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Class-Specific Guided Local Feature Selection for Data Classification 4

Class-Specific Guided Local Feature Selection for Data Class...

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4th IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)

作者： Qian, Youcheng Jilin Inst Chem Technol Sch Sci Dept Appl Math Jilin 132022 Jilin Peoples R China Northeast Normal Univ Sch Math & Stat Key Lab Appl Stat MOE Changchun 130024 Jilin Peoples R China

ISBN: (纸本)9781728114101

In this paper, a novel class-specific guided local feature selection (CSGLFS) model is proposed, which derives that each area of the high-dimensional data is related to its own unique discriminant feature subset. This algorithm is superior to existing methods which simply applies a common global feature subset to represent all classes in the high-dimensional input data. In the proposed way, the feature subsets take into account local changes, which optimally adjust to the specific region of high-dimensional space. We also give a linked scheme to measure the similarity between query data and each of the specific classes. Moreover, our CSGLFS method is effectively expressed as a linear programming problem. Experimental results on six public datasets prove that our proposed algorithm is capable to obtain meaningful results compared to existing well-known and advanced feature selection algorithms in terms of classification problem.

关键词： local feature selection class-specific guided linear programming optimization classification

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On the Assessment of the 2030 Power Sector Transition in Spain

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ENERGIES 2019年第7期12卷 1369页

作者： Gomez-Calvet, Roberto Martinez-Duart, Jose M. Univ Europea Valencia Fac Social Sci Dept Business Paseo Alameda 7 Valencia 46010 Spain Univ Autonoma Madrid Dept Appl Phys Avda Francisco Tomas & Valiente 7 E-28049 Madrid Spain

Recently, the European Union has recognized that more ambitious plans in reducing emissions are needed in order to comply with the target 1.5-2 degrees warming limit for this century. Along this line, the main objective of this paper is to study the evolution of the power sector in Spain, taking into account the Paris Agreement and the further European Union Directives. In particular, we have studied the substitution by renewable energies of all coal power plants before 2030. For this study, we have applied linear programming techniques to optimize the deployment of the additional wind and solar resources. If, in addition to the substitution of coal power plants, we also consider the expected increase in demand for the period 2019-2030, we find that the present park of renewables should be increased by a factor of about 115%. We have also statistically analyzed the amount of surpluses and shortages in energy, assuming that the demand curve would have a daily shape similar to the present one. As a result, we have found that additional storage capabilities of around 55 GWh for 11 h would be needed in order not to waste more than 25% surplus energy by curtailment. As for backup, we propose in a first step to use the overwhelming amount of gas combined cycle units which are available.

关键词： variable renewable energies power sector Spain linear programming optimization surpluss backup storage decarbonisation

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Dose painting by means of Monte Carlo treatment planning at the voxel level

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PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS 2017年 42卷 339-344页

作者： Jimenez-Ortega, E. Ureba, A. Vargas, A. Baeza, J. A. Wals-Zurita, A. Garcia-Gomez, J. Barbeiro, A. R. Leal, A. Univ Seville Dept Fisiol Med & Biofis Seville Spain IBIS Inst Biomed Sevilla Seville Spain Stockholm Univ Karolinska Inst Med Radiat Phys Stockholm Sweden Maastricht Univ Med Ctr Dept Radiat Oncol Maastricht Netherlands Hosp Univ Virgen Macarena Serv Radioterapia Seville Spain Hosp Univ Virgen Macarena Serv Med Nucl Seville Spain

Purpose: To develop a new optimization algorithm to carry out true dose painting by numbers (DPBN) planning based on full Monte Carlo (MC) calculation. Methods: Four configurations with different clustering of the voxel values from PET data were proposed. An optimization method at the voxel level under Lineal programming (LP) formulation was used for an inverse planning and implemented in CARMEN, an in-house Monte Carlo treatment planning system. Results: Beamlet solutions fulfilled the objectives and did not show significant differences between the different configurations. More differences were observed between the segment solutions. The plan for the dose prescription map without clustering was the better solution. Conclusions: LP optimization at voxel level without dose-volume restrictions can carry out true DPBN planning with the MC accuracy. (C) 2017 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

关键词： Dose painting by numbers Dose painting by contour linear programming optimization Monte Carlo dose calculation

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Multi - point Cooperative Multicast Video Design and Research

Multi - point Cooperative Multicast Video Design and Researc...

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International Conference on Computer Network, Electronic and Automation (ICCNEA)

作者： Tao, Wang Wuxi City Coll Vocat Technol Wuxi Environm Sci & Engn Res Ctr Sch Internet Things Engn Wuxi Jiangsu Peoples R China

ISBN: (纸本)9781538639818

Internet era in the context of increasing popularity of mobile terminals, network video browsing has become an indispensable feature of wireless terminals. However, in order to improve the reliability of video multicast, this paper increases the gain system from the overlapping access points in the coverage area, because of the low reliability of the inter-link interference between the wireless networks. Improve the fairness of the system, and propose and design a multi-point broadcast scheme based on network coding and multi-access point collaboration. The program will first divide each video segment into the same segment and divide the access point completely and not completely interfere with the two models. The video multicast problem when the transmission range between the access points is overlapped is modeled as linear programming optimization problem, a two-stage heuristic algorithm is designed to solve the problem. By using multiple access points to get the gain of space and time diversity, the reliability of data transmission is improved, and data is transmitted in parallel by allowing access points that interfere with, To improve the system utility. Finally, the simulation experiment is used to verify the validity of the number of packets to be decoded, the total amount of packets received and the fairness.

关键词： Video multicast network coding multi-point access collaboration linear programming optimization heuristic algorithm fairness

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Load-Aware Power Efficiency Maximization in Heterogeneous Wireless Networks 24

Load-Aware Power Efficiency Maximization in Heterogeneous Wi...

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24th International Conference on Telecommunications (ICT)

作者： Zalghout, Mohamad Helard, Jean-Francois Khalil, Ayman Abdul-Nabi, Samih Crussiere, Matthieu Lebanese Int Univ Dept Comp & Commun Engn Beirut Lebanon INSA Rennes 20 Ave Buttes de Coesmes F-35708 Rennes France IETR UMR CNRS 6164 Rennes France

ISBN: (纸本)9781538606438

This paper proposes a solution to maximize the power efficiency, i.e. datarate per power unit, in a heterogeneous wireless system that is based on integrated mobile base stations (BSs) and Wi-Fi access points (APs). In this context, a user association and downlink resource allocation optimization problem is formulated. The formulated problem considers the power consumption at both networks and mobile terminals (MTs), and the data rate requirement, i.e. load, of each MT. Since MTs could only be associated with a single network at a time, the formulated problem is binary with high complexity. Thus, a new sub-optimal solution with polynomial-time complexity is proposed based on the continuous relaxation of the problem. Simulation results show that the proposed sub-optimal solution, when compared to the trivial network selection methodology, remarkably reduces the power consumption of networks and MTs. Moreover, it is shown that the proposed solution performs close to the optimal one.

关键词： User association resource allocation linear programming optimization energy efficiency

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A variable flow modelling approach to military end strength planning

A variable flow modelling approach to military end strength ...

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作者： Benjamin K. Grossi Naval Postgraduate School

学位级别：硕士

The purpose of this thesis is to develop a model to assist military manpower planners in meeting prescribed end strength requirements. To achieve this, I have developed a variable flow model capable of both optimizing accessions and also optimizing transition probabilities. I use the Marine Technician category of the Royal Australian Navy as the subject of the thesis, as it is currently facing large manpower deficits and could benefit from the recommendations. I compare forecasts using current and optimized parameters against each other, and the results show that optimizing transition probabilities is the most efficient way of meeting manpower targets-while maintaining the current hiring policy-for the Marine Technician category. I also conduct a risk analysis by simulating the effect of changes in the transition rate on the differential between the forecast and desired end strengths. Again, the transition probability optimization model performs better than the status quo situation. Recommendations are made for future research to improve the implementation of optimized transition probabilities and also for ways of limiting the attrition rate, which is the only variable not under the control of the Royal Australian Navy.

关键词： Markov model linear programming optimization risk analysis variable flow model accession optimization transition rate optimization end strength planning risk analysis

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A decision model for selecting parts feeding policies in assembly lines

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INDUSTRIAL MANAGEMENT & DATA SYSTEMS 2015年第6期115卷 974-1003页

作者： Caputo, Antonio C. Pelagagge, Pacifico M. Salini, Paolo Univ Roma Tre Dept Engn Rome Italy Univ Aquila Dept Ind Engn Informat & Econ I-67100 Laquila Italy

Purpose - The purpose of this paper is to develop an optimization model allowing the choice of parts feeding policy to assembly lines in order to minimize total cost. Design/methodology/approach - An integer linear programming mathematical model is developed to assign the optimal material feeding policy to each part type. The model allows choice between kitting, line stocking and just in time delivery policies. Findings - The choice of assembly lines feeding policy is not trivial and requires a thorough economic comparison of alternatives. It is found that a proper mix of parts feeding policies may be better that adopting a single material delivery policy for all parts. Research limitations/implications - The model is aimed at single-model assembly lines operating in a deterministic environment, but can be extended to the multi-model line case. While relevant quantitative cost drivers are included, some context-related qualitative factors are not included yet. The model assumes that information about product structure and part requirements are known and that a preliminary design of the assembly system has been carried out. Practical implications - Production managers are given a quantitative-decision tool to determine the optimal mix of material supply policies at an early decision stage. Originality/value - Respect previous simplified literature models, this approach allows to quantify a number of additional factors which are critical for successful implementation of cost-effective parts feeding systems, allowing comparison of alternative policies on a consistent basis.

关键词： Cost estimation Kitting Assembly lines parts feeding Just in time Line storage linear programming optimization

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Profitability and Resource Allocation Among Cotton and Peanuts When Considering Planting and Harvest Timeliness

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Journal of Agricultural and Applied Economics 2015年第1期37卷 249-261页

作者： Timothy A. Meeks Archie Flanders W. Don Shurley Fred C. White Lewell F. Gunter Department of Agricultural and Applied Economics University of Georgia Athens GA

Harvest timeliness is a continual problem in the rotation of cotton and peanuts. Efficient allocation of land and labor resources during production of cotton and peanuts requires decisions be made on allocating resources throughout the growing season. Of particular concern is efficient allocation during planting and harvesting. Through economic analysis and linear programming optimization, planting and harvesting timeliness issues are addressed and compared with prevailing practices. Results for a representative farm indicate that cotton planting should increase during the early period of the planting season as compared with current practice, and most cotton should be harvested before peanut harvest begins.

关键词： cotton harvest timeliness linear programming optimization peanuts planting timeliness Q12 Q18

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