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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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Incremental Gate Sizing for Late Process Changes

Incremental Gate Sizing for Late Process Changes

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IEEE International Conference on Computer Design

作者： Lee, John Gupta, Puneet Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA

ISBN: (纸本)9781424489350

Circuit design often runs in parallel with the development of the manufacturing process that will be used to fabricate it. However, as the manufacturing process matures, its models may undergo substantial changes as the design nears production. These changes may cause the design itself to fail its specifications, and in these cases it is necessary to perform an Engineering Change Order (ECO) to correct these problems. We present a new framework to perform incremental gate sizing for process changes late in the design cycle. This includes a method to measure and estimate ECO cost, transform these costs into a linear programming optimization problem, and solve the problem to find the ECO. This method performs well, compared to a leading commercial physical design tool, reducing ECO costs by 18% to 99% in changed area, and 1% to 96% in number of pins with unnecessary pin timing changes.

关键词： circuit design design cycle design engineering engineering change order incremental gate sizing late process change linear programming linear programming optimization manufacturing process manufacturing processes

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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 column generation technique for a crisis deployment planning problem

A column generation technique for a crisis deployment planni...

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作者： Newton Rodrigues Lima NAVAL POSTGRADUATE SCHOOL

学位级别：硕士

This study is concerned with the problem of constructing an optimal military deployment plan for sealift assets during a period of conflict. The deployment problem is formulated as a set-partitioning optimization problem with a minimax objective. An algorithm for solving this problem is presented and it is based on solving a sequence of related, but simpler, linear programming problems by the column generation technique. The results of the model are ship schedules to meet the cargo requirements of the deployment plan in a minimum amount of time. Various implementation strategies are discussed as well as the occurrence of integer solutions. In addition, computational experiments for several small to medium size examples are presented.

关键词： Dantzig-Wolfe Decomposition Method linear programming optimization

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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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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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Theoretical and Empirical Studies of Productivity Growth in the Agricultural Economics –– Cases of China and the United States

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Physics Procedia 2012年 24卷 1475-1481页

作者： Lan Xu East China University of Science and Technology Shanghai China

This article investigates agricultural productivity growth over several decades, emphasizing to a great extent the agricultural economic development condition for the nine agricultural divisions of the United States, and China's 27 provinces in terms of Malmquist productivity growth index. The paper sets up a technique to make use of two-stage linear programming method, based on sequential production technology, to estimate the most fitted and reliable distance functions in relevant agricultural sectors, and thus to compute the Malmquist productivity indexes. Especially, it proposes to decompose the productivity growth index into two major components, technical progress and efficiency improvement, and their sub-components, to study the sources of growth in productivity.

关键词： World economy Malmquist productivity index linear programming optimization Distance function JEL Classifications: O47 D24 R11

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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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Theoretical and Empirical Studies of Productivity Growth In the Agricultural Economics——Cases of China and the United States

Theoretical and Empirical Studies of Productivity Growth In ...

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2010 International Conference on Services Science, Management and Engineering (SSME 2010)

作者： Lan Xu East China University of Science and Technology Shanghai,China

This article investigates agricultural productivity growth over several decades,emphasizing to a great extent the agricultural economic development condition for the nine agricultural divisions of the United States,and China's 27 provinces in terms of Malmquist productivity growth *** paper sets up a technique to make use of two-stage linear programming method,based on sequential production technology,to estimate the most fitted and reliable distance functions in relevant agricultural sectors,and thus to compute the Malmquist productivity ***,it proposes to decompose the productivity growth index into two major components,technical progress and efficiency improvement,and their sub-components,to study the sources of growth in productivity.

关键词： World economy Malmquist productivity index linear programming optimization Distance function

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