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IEEE Milan PowerTech Conference

作者： Sanchez, Francisco Gonzalez-Longatt, Francisco Loughborough Univ Ctr Renewable Energy Syst Technol CREST Loughborough Leics England

ISBN: (纸本)9781538647226

This paper presents a methodology to optimize the parameters of the frequency controller installed in a battery energy storage system (BESS) to minimize frequency deviation considering electricity system operator (ESO) imposed rate of change constraints. The problem is formulated with a non-linear programming (NLP) structure and the exterior penalty function (EPF) method is applied to solve it efficiently. The impact of the location of the BESS on the frequency nadir is quantified by simulations in a medium voltage (MV) distribution network benchmark with a high proportion of distributed energy resources (DER). Simulations are performed with detailed dynamic models in DIgSILENT (R) Power Factory (TM) in combination with Python for data analysis and manipulation. Simulation results show the suitability of the proposed approach.

关键词： Battery energy storage system distributed energy resources non-linear programming rate of change of frequency system frequency response

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A new mixed repetitive group sampling plan based on the process capability index for product acceptance

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INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2018年第2期35卷 463-480页

作者： Saminathan, Balamurali Mahalingam, Usha Kalasalingam Univ Srivilliputhur India SASTRA Univ Thanjavur India

Purpose The purpose of this paper is to propose a new mixed repetitive group sampling (RGS) plan based on the process capability index, C-pk, where the quality characteristics of interest follow the normal distribution with unknown mean and unknown variance. Tables are constructed to determine the optimal parameters for practical applications for both symmetric and asymmetric fraction non-conforming cases. The advantages of this proposed mixed sampling plan are also discussed. The proposed sampling plan is also compared with other existing sampling plans. Design/methodology/approach In order to determine the optimal parameters of the proposed mixed RGS plan based on C-pk, the authors constructed tables for various combinations of acceptable and limiting quality levels (LQLs). For constructing tables, the authors followed the approach of two points on the operating characteristic (OC) curve. The optimal problem is formulated as a non-linear programming where the objective function to be minimized is the average sample number (ASN) and the constraints are related to lot acceptance probabilities at acceptable quality level and LQL under the OC curve. Findings The proposed mixed RGS plan will be a new addition to the literature of acceptance sampling. It is shown that the proposed mixed plan involves minimum ASN with desired protection to both producers and consumers compared to other existing sampling plans. The practical application of the proposed mixed sampling plan is also explained with an illustrative real-time example. Originality/value In this paper, the authors propose a new mixed RGS plan based on the process capability index C-pk, where the quality characteristic of interest follows the normal distribution with unknown mean and unknown variance. Tables are constructed to determine the optimal parameters for practical applications. The proposed mixed sampling plan can be used in all production industries. This kind of mixed RGS plan is not available in the li

关键词： Quality control Mixed sampling plan non-linear programming Process capability index

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A non-linear program to find an approximate location of a second warehouse: A case study

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Kasetsart Journal of Social Sciences 2016年第3期37卷 190-201页

作者： Monthatipkul, Chumpol Graduate School of Management and Innovation King Mongkut's University of Technology Thonburi Bangkok 10140 Thailand

A mathematical model was developed to estimate the location of a second warehouse for a case study in Bangkok. A non-linear program was developed based on the Load Distance Technique. The objective function was to minimize the sum of weighted straight-line distances from the first or second warehouse to either vendors or customers. The straight-line distance was determined using the principle of Pythagorean triples and was weighted by the shipment frequency and the shipment cost rate. The model was then solved using the Microsoft Excel Solver upgraded to the Premium Solver Platform. The starting solutions were randomly set within a specified range to obtain different local optimal solutions. The best one was finally selected to be the approximate location of the second warehouse. Sensitivity to customer demands was conducted and some useful recommendations are provided. © 2016 Kasetsart University

关键词： Euclidean norm facility location non-linear programming

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QALYS and the integration of claims in health-care rationing

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HEALTH CARE ANALYSIS 1999年第3期7卷 239-253页

作者： Anand, P Open Univ Econ Discipline Milton Keynes MK7 6AA Bucks England

The paper argues against the polarisation of the health economics literature into pro- and anti-QALY camps. In particular, we suggest that a crucial distinction should be made between the QALY measure as a metric of health, and QALY maximisation as an applied social choice rule. We argue against the rule but for the measure and that the appropriate conceptualisation of health-care rationing decisions should see the main task as the integration of competing and possibly incommensurable normative claim types. We identify the main types as consequences, rights, social contracts, individual votes and community values and note situations in which the contribution of each claim type is limited. We go on to show that the integration of (at least some of) these claim types can be formalised within the mathematical framework provided by non-linear programming.

关键词： QALY rationing non-linear programming consequentialism

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Optimal Placement of Distributed Generation Units for Microgrid Planning in Distribution Networks

Optimal Placement of Distributed Generation Units for Microg...

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14th Annual IEEE Energy Conversion Congress and Exposition (IEEE ECCE) / IEEE-Industry-Applications-Society (IEEE-IAS) Annual Meeting

作者： Shawon, Shah Mohammad Rezwanul Haque Liang, Xiaodong Janbakhsh, Mehrnoosh Univ Saskatchewan Dept Elect & Comp Engn Saskatoon SK S7N 5A9 Canada Saskatoon Light & Power Saskatoon Saskatoon SK S7N 5A9 Canada BC Hydro & Power Author Distribut Engn Burnaby BC V3N 4X8 Canada

Due to increasing penetration of renewable distributed generation (DG), conventional distribution networks have been gradually transforming into their active form, where microgrids may serve as fundamental building blocks. As the primary step towards microgrid planning, optimal DGs placement and sizing can reduce the total energy losses by localizing power supply to loads. In this paper, aDGoptimal placementmethod byminimizing the total energy losses is proposed, where the planning is formulated as a non-linear programming (NLP) problem. AC optimal power flow (OPF) is used to solve this planning problem by considering operational constraints and uncertainties in load and renewable power generation of the network. IEEE 33-bus test system and a real 404-bus distribution system operated by Saskatoon Light and Power in Saskatoon, Canada are used to validate the proposed method. The proposed method also shows superior performance compared to existing methods.

关键词： AC optimal power flow distributed generation microgrid planning non-linear programming optimal placement uncertainty modeling

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Optimizing Continuous Berth Allocation by Immune Algorithm

Optimizing Continuous Berth Allocation by Immune Algorithm

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IEEE International Conference on Intelligent Computing and Intelligent Systems

作者： Hu, Zhi-Hua Han, Xiao-Long Ding, Yi-Zhong Shanghai Maritime Univ Logist Res Ctr Shanghai 200135 Peoples R China

ISBN: (纸本)9781424447541

The continuous berth allocation problem (BAPC) solves the BAP with continuous berth space and continuous time to optimize the utilization of space and time of the ports A non-linear programming (NLP) model is built and an immune algorithm (IA) is proposed to solve it The effects of the number of vessels, the berth space length and the length of planning time are well controlled so that the approach can handle supper large-scale BAP with promising performance The proposed model and algorithm can be embedded into berth scheduling modules to provide a fast and flexible solution for real-world BAPC to improve the port efficiency

关键词： Transportation Continuous berth allocation problem non-linear programming Immuine evolutionary algorithm Container port

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Component remanufacturing: a new prospective profitable business approach for the Indian automobile sector

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OPSEARCH 2020年第4期57卷 1244-1280页

作者： Sundararaman, Malolan Muthu, Mathirajan Indian Inst Sci Dept Management Studies Bengaluru 560012 India Nath Inst Technol Tiruchirappalli Dept Management Studies Tiruchirappalli 620015 India

In the last 60 years, remanufacturing has evolved as the major way for recovering value from products or components of the product, because the remanufactured product or component is not only cheaper than those obtained from conventional sources of manufacturing and/or purchasing, but the outputs are also "good-as-new". The automobile sector, in particular, has seen predominant remanufacturing. Given the benefits of remanufacturing, this study proposes a new prospective business approach, particularly for the Indian automobile sector by introducing component remanufacturing. Particularly this study considers Multiple Products (MP) that are assembled by proposing Component Remanufacturing (CR) as a new source along with regular manufacturing and purchasing sources for components. In addition, this study considers the complexities of "Backordering (BO)" along with a new proposal for "Product Substitution (PS)" option to satisfy demand. Hence, the research problem considered in this study is referred as "MP-CR problem with BO&PS". For this complex and new problem, the study empirically demonstrates that the MP-CR problem with BO&PS is a new prospective profitable business approach in comparison with the existing "Multi Products problem with Backordering (MP problem with BO)" for an Indian automobile OEM, by proposing a mathematical model with the objective of profit maximization.

关键词： Inventory and production Component remanufacturing Product substitution Backordering non-linear programming

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EFFICIENT VISUAL QUESTION ANSWERING ON EMBEDDED DEVICES: CROSS-MODALITY ATTENTION WITH EVOLUTIONARY QUANTIZATION 31

EFFICIENT VISUAL QUESTION ANSWERING ON EMBEDDED DEVICES: CRO...

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2024 International Conference on Image Processing

作者： Mishra, Aakansha Agarwala, Aditya Tiwari, Utsav Rajendiran, Vikram N. Miriyala, Srinivas S. Samsung Res Inst Bangalore Bangalore Karnataka India

ISBN: (纸本)9798350349405;9798350349399

Visual Question Answering (VQA) lies at the intersection of vision and language domains necessitating learning representations from multiple modalities. While the model development for VQA has witnessed tremendous growth, the efforts for its deployment on embedded devices have been lagging limiting its true potential. In this work, the authors address this challenge by designing a novel hardware- friendly architecture for VQA based on the transformer model with cross-modality attention. The memory footprint of the VQA model is optimized for on-device deployment using a distributed framework for Post Training Quantization (PTQ) formulated as a non-linear programming (NLP) problem. The NLP problem is solved using an Evolutionary algorithm to determine the low-bit representation of the VQA model with minimal accuracy drop compared to the full precision model. The quantized model for VQA with a marginal accuracy drop of less than 2%, resulted in 4 times memory improvement, and over 2 times latency improvement, enabling its successful deployment on the Samsung Galaxy S23 device. The comprehensive study explores the potential of the proposed generic end-to-end pipeline from VQA model development to its deployment.

关键词： Visual Question Answering Cross-Modality Attention Post Training Quantization non-linear programming Evolutionary Algorithms Model Deployment

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A linearized Mathematical Formulation for Combined Centralized and Distributed Waste Water Treatment Network Design

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Operations Research Forum 2022年第3期3卷 36页

作者： Broukos, Pantelis Fragkogios, Antonios Shah, Nilay Imperial College London Department of Chemical Engineering Urban Energy Systems London United Kingdom BATI Energie Sarl Luxembourg Luxembourg Department of Mechanical Engineering University of Thessaly Volos Greece

Waste water treatment (WWT) is a very important issue affecting both the environment and public health in the twenty-first century. The increasing earth’s population together with the growing urbanism leads to the need of redesigning effective WWT. In this paper, the problem of optimal Waste Water Treatment Network Design (WWTND) is addressed. To this end, various parameters affecting the problem have been taken into consideration, such as the distance between the residential areas and the treatment plants, estimations for future population of towns and costs of expanding existing network or building a new one. The last parameter of cost has a lot of components (pipeline cost, treatment plant cost, etc.), all of which are non-linear functions depending on the amount of waste water produced and treated within the network. The authors have developed a mathematical model for the solution of WWTND problem and have applied piecewise linearization in order to deal with the non-linear terms. The developed model has been implemented on an area in Luxemburg, for which data were collected. The results prove the model’s validity and usefulness, while its solution is computationally affordable. © 2022, The Author(s).

关键词： Network design non-linear programming Piece-wise linearization Waste water treatment

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Time-cost trade-off analysis of a priority based assignment problem

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OPSEARCH 2021年第2期58卷 448-482页

作者： Kaur, Prabhjot Dahiya, Kalpana Verma, Vanita Panjab Univ UIET Chandigarh 160014 India Panjab Univ Dept Math Chandigarh 160014 India

In this paper, a bi-objective priority based assignment problem (BPBAP) related to an industrial project, is considered in which, depending upon the work breakdown structure, the n tasks involved in the project are divided into two categories. One of the categories consists of m primary tasks and the other one consists of ( n - m) secondary tasks (for m < n). The project is such that the secondary tasks can be executed only after the primary tasks are finished, however, the tasks within each category may be executed simultaneously. This problem is a special case of categorized assignment scheduling problem, discussed extensively in literature. The BPBAP is studied with the objective of minimizing simultaneously, the two criteria namely, total execution time and total assignment cost of the project which are equal to the sum of execution times and assignment costs respectively, of primary and secondary tasks. Generally, it is not possible to optimize both the objectives simultaneously, therefore, there is a need to do time-cost trade-off analysis of the problem. Since, the present problem is based on two-stage execution of the project (one stage for each category of tasks), therefore, a criteria based iterative algorithm considering all the possible combinations of the parameters of both the categories, is developed that finds all the non-dominated points of BPBAP in a polynomial time. Numerical illustrations are provided in the support of theory.

关键词： Optimization non-linear programming Assignment problem Bi-objective Efficient solutions

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