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Multi-objective optimization of evaporator of organic Rankine cycle (ORC) for low temperature geothermal heat source

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APPLIED THERMAL ENGINEERING 2015年 80卷 1-9页

作者： Imran, Muhammad Usman, Muhammad Park, Byung-Sik Kim, Hyouck-Ju Lee, Dong-Hyun Korea Univ Sci & Technol Energy Syst Engn Taejon 305350 South Korea Korea Inst Energy Res Energy Network Lab Taejon 305343 South Korea

Present study deals with the development of hydraulic and thermal design model of chevron type plate evaporator and optimization of its geometrical parameters for a low temperature geothermal ORC system. The optimization is performed using Non-dominated Sorting genetic algorithm-II (NSGA-II). The primary geometrical parameters of evaporator are selected as decision variables which include length, width and plate spacing. The minimum cost of evaporator and minimum pressure drop are chosen as objective functions under restriction of constant amount of heat transfer. Since the objective functions are conflicting, a single value of decision variables cannot satisfy both objective functions simultaneously. Therefore optimization results are presented in the form of Pareto Front solution which is trade-off between pressure drop and cost of evaporator. The minimum cost evaporator is 1570$ corresponding to pressure drop of 125 kPa while the maximum cost is 6988$ corresponding to a pressure drop of 5.2 kPa. The sensitivity analysis shows that the plate length has promising effect on pressure drop and cost of evaporator. Furthermore, the effect of pressure drop on cost of evaporator and net power of ORC system is also investigated. The optimum value of allowable pressure drop is 30-40 kPa, corresponding to net power of 73-74 kW of ORC system and cost of evaporator 3000-3500$. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Organic Rankine cycle Evaporator Optimization Geothermal energy multiobjective genetic algorithm

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multiobjective planning of open-loop MV distribution networks using ComGIS network analysis and MOGA

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ELECTRIC POWER SYSTEMS RESEARCH 2009年第2期79卷 390-398页

作者： Kong, Tao Cheng, Haozhong Hu, Zechun Yao, Liangzhong Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China AREVA T&D Technol Ctr Stafford ST17 4LX England

An advanced method for optimal planning of open-loop medium voltage (MV) distribution network is proposed in this paper. The multiobjective planning model of open-loop MV distribution network is formulated, and an outage cost calculating method applicable for open-loop MV distribution networks is proposed. To solve the optimization problem, a special multiobjective genetic algorithm (MOGA) is designed based on the network dataset built by Component Geographical Information Systems (ComGIS). The network analysis function of the ComGIS is embedded in the overall optimization process of the MOGA to find single-loop optimal paths. Crossover and mutation operator are designed according to characteristics of the coding. The evolutionary orientation is directed by the fitness function based on the Pareto order of individuals. The Pareto Optimal Set (POS) including several candidate planning schemes is obtained through the MOGA, from which the recommended scheme is selected. The practicability of the method is tested by its application to a real distribution system. (C) 2008 Elsevier B.V. All rights reserved.

关键词： Medium-voltage distribution network Open-loop configuration multiobjective genetic algorithm Component Geographical Information Systems Distribution network planning

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A multiobjective optimization approach for location-allocation of clinics

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INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH 2015年第2期22卷 313-328页

作者： Beheshtifar, Sara Alimoahmmadi, Abbas KN Toosi Univ Technol Fac Geodesy & Geomat Tehran Iran

In order to establish new healthcare facilities, their optimal number and locations should be determined. Unsuitable locations for these facilities may result in substandard customer services and increased expenses. To solve this location-allocation problem, this study applied a multiobjective model that combined geographical information system (GIS) analysis with amultiobjective genetic algorithm. Optimum sites for new clinics were determined by considering four objectives: minimizing total travel cost, minimizing inequity in access to clinics, minimizing the land-use incompatibility in the study area, and minimizing the costs of land acquisition and facility establishment. Chromosomes of varying lengths were used in the multiobjective optimization process. An important advantage of this is that multiple optimal solutions with different numbers of healthcare facilities can be compared directly. An a posteriori preference method was used in this study. TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) was applied to assess and compare the Pareto-optimal solutions and to select the best solution according to different weight vectors. Visualization of the best solution according to each weight vector and compromising among different objectives provided valuable possibilities for selection of the best alternative to decision makers.

关键词： multiobjective genetic algorithm location modeling GIS TOPSIS

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Design and application of a hybrid active power filter with injection circuit

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IET POWER ELECTRONICS 2010年第1期3卷 54-64页

作者： Luo, A. Shuai, Z. Zhu, W. Shen, Z. J. Tu, C. Hunan Univ Coll Elect & Informat Engn Changsha 410082 Hunan Peoples R China Univ Cent Florida Dept Elect & Comp Engn Orlando FL 32816 USA

In this study, a novel hybrid active power filter (HAPF) with injection circuit is proposed. It shows great promise in reducing harmonics and improving the power factor with a relatively low-capacity active power filter (APE). As a project in a copper-foil factory in eastern China, the parameters design method of HAPF with injection circuit is put forward here. A multi-objective genetic algorithm is proposed to optimise the design of the output filter parameters, which can meet the requirement of the whole harmonic cancelling system better than the ones designed just by experience. This study focuses on the stability of the power system, so the resonance characteristic of the system when the passive power filter works is discussed particularly. This method can help design the other kind of filtering system for high-capacity applications. A 3600-kvar HAPF prototype with 200-kvar APE has been developed for the copper mill. Both simulation and application results have shown that the proposed HAPF is good in harmonics elimination and reactive power compensation.

关键词： power factor apparent power 200 kVA copper-foil factory Power applications in metallurgical industries active filters metallurgical industries multiobjective genetic algorithm Other power apparatus and electric machines reactive power compensation apparent power 3600 kVA hybrid active power filter Optimisation techniques harmonics elimination injection circuit genetic algorithms Power supply quality and harmonics power harmonic filters harmonic cancelling system

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multiobjective Short-Term Planning of Electric Power Distribution Systems Using NSGA-II

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JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS 2013年第3期24卷 286-299页

作者： Pereira Junior, Benvindo R. Cossi, Antonio M. Mantovani, Jose R. S. Sao Paulo State Univ UNESP Elect Engn Dept POB 31 BR-15385000 Ilha Solteira SP Brazil Sao Paulo State Univ UNESP Math Dept BR-15385000 Ilha Solteira SP Brazil

This paper presents a mixed integer nonlinear programming multiobjective model for short-term planning of distribution networks that considers in an integrated manner the following planning activities: allocation of capacitor banks;voltage regulators;the cable replacement of branches and feeders. The objective functions considered in the proposed model are: to minimize operational and investment costs and minimize the voltage deviations in the the network buses, subject to a set of technical and operational constraints. A multiobjective genetic algorithm based on a Non-Dominated Sorting genetic algorithm (NSGA-II) is proposed to solve this model. The proposed mathematical model and solution methodology is validated testing a medium voltage distribution system with 135 buses.

关键词： Capacitor banks Voltage regulators multiobjective genetic algorithm Power distribution planning

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AMI Screening Using Linguistic Fuzzy Rules

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JOURNAL OF MEDICAL SYSTEMS 2012年第2期36卷 463-473页

作者： Ainon, Raja Noor Bulgiba, Awang M. Lahsasna, Adel Univ Malaya Fac Comp Sci & Informat Technol Kuala Lumpur 50603 Malaysia Univ Malaya Julius Ctr Fac Med CRYSTALFac Sci Kuala Lumpur 50603 Malaysia

This paper aims at identifying the factors that would help to diagnose acute myocardial infarction (AMI) using data from an electronic medical record system (EMR) and then generating structure decisions in the form of linguistic fuzzy rules to help predict and understand the outcome of the diagnosis. Since there is a tradeoff in the fuzzy system between the accuracy which measures the capability of the system to predict the diagnosis of AMI and transparency which reflects its ability to describe the symptoms-diagnosis relation in an understandable way, the proposed fuzzy rules are designed in a such a way to find an appropriate balance between these two conflicting modeling objectives using multi-objective genetic algorithms. The main advantage of the generated linguistic fuzzy rules is their ability to describe the relation between the symptoms and the outcome of the diagnosis in an understandable way, close to human thinking and this feature may help doctors to understand the decision process of the fuzzy rules.

关键词： AMI Fuzzy rules Prediction system multiobjective genetic algorithm

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A multiscale approach to balance trade-offs among dam infrastructure, river restoration, and cost

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PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2018年第47期115卷 12069-12074页

作者： Roy, Samuel G. Uchida, Emi de Souza, Simone P. Blachly, Ben Fox, Emma Gardner, Kevin Gold, Arthur J. Jansujwicz, Jessica Klein, Sharon McGreavy, Bridie Mo, Weiwei Smith, Sean M. C. Vogler, Emily Wilson, Karen Zydlewski, Joseph Hart, David Univ Maine Senator George J Mitchell Ctr Sustainabil Solut Orono ME 04469 USA Univ Rhode Isl Dept Environm & Nat Resource Econ Kingston RI 02881 USA Univ New Hampshire Dept Civil & Environm Engn Durham NH 03824 USA Univ Maine Sch Econ Orono ME 04469 USA Univ Rhode Isl Dept Nat Resources Sci Kingston RI 02881 USA Univ Maine Dept Wildlife Fisheries & Conservat Biol Orono ME 04469 USA Univ Maine Dept Commun & Journalism Orono ME 04469 USA Univ Maine Sch Earth & Climate Sci Orono ME 04469 USA Rhode Isl Sch Design Dept Landscape Architecture Providence RI 02903 USA Univ Southern Maine Dept Environm Sci & Policy Gorham ME 04038 USA Univ Maine Maine Cooperat Fish & Wildlife Res Unit US Geol Survey Orono ME 04469 USA

Aging infrastructure and growing interests in river restoration have led to a substantial rise in dam removals in the United States. However, the decision to remove a dam involves many complex trade-offs. The benefits of dam removal for hazard reduction and ecological restoration are potentially offset by the loss of hydroelectricity production, water supply, and other important services. We use a multiobjective approach to examine a wide array of trade-offs and synergies involved with strategic dam removal at three spatial scales in New England. We find that increasing the scale of decision-making improves the efficiency of trade-offs among ecosystem services, river safety, and economic costs resulting from dam removal, but this may lead to heterogeneous and less equitable local-scale outcomes. Our model may help facilitate multilateral funding, policy, and stakeholder agreements by analyzing the trade-offs of coordinated dam decisions, including net benefit alternatives to dam removal, at scales that satisfy these agreements.

关键词： rivers dams multiobjective genetic algorithm trade-offs multicriteria decision analysis

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Generation of multiple pharmacophore hypotheses using multiobjective optimisation techniques

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JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN 2004年第11期18卷 665-682页

作者： Cottrell, SJ Gillet, VJ Taylor, R Wilton, DJ Univ Sheffield Dept Informat Studies Sheffield S1 4DP S Yorkshire England Cambridge Crystallog Data Ctr Cambridge CB2 1EZ England

Pharmacophore methods provide a way of establishing a structure--activity relationship for a series of known active ligands. Often, there are several plausible hypotheses that could explain the same set of ligands and, in such cases, it is important that the chemist is presented with alternatives that can be tested with different synthetic compounds. Existing pharmacophore methods involve either generating an ensemble of conformers and considering each conformer of each ligand in turn or exploring conformational space on-the-fly. The ensemble methods tend to produce a large number of hypotheses and require considerable effort to analyse the results, whereas methods that vary conformation on-the-fly typically generate a single solution that represents one possible hypothesis, even though several might exist. We describe a new method for generating multiple pharmacophore hypotheses with full conformational flexibility being explored on-the-fly. The method is based on multiobjective evolutionary algorithm techniques and is designed to search for an ensemble of diverse yet plausible overlays which can then be presented to the chemist for further investigation.

关键词： alignment conformational analysis evolutionary algorithms MOGA molecular overlay multiobjective genetic algorithm multiobjective optimisation pharmacophore identification

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Development of nonuniform transmission line protection for accurate distance protection: Computational analysis of an adaptive distance relay characteristic

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2018年第4期28卷 e2514.1-e2514.17页

作者： Tavalaei, Jalal Habibuddin, Mohd Hafiz Naderipour, Amirreza Zin, Abdullah Asuhaimi Mohd Univ Teknol Malaysia Fac Elect Engn Johor Baharu 81310 Malaysia

' Numerical distance relays are used in modern power system to boost the performance and reduce the computational burden of relay. Quadrilateral zone of distance relay is more suitable and capable of boundary modification on protection scheme. In this paper, an adaptive distance relay is introduced to tackle the maloperation problems encountered in non-uniform structure of combined transmission system, in which the zone 1 of distance relay is modified. Two boundaries are modified with fifth degree of polynomial equation for quadrilateral zone characteristic. Appropriate objective functions are defined to minimize the increment in relay zone, maloperation rate, and boundary accuracy error. The multiobjective optimization problem is solved by using genetic algorithm. According to the extensive computational analysis results performed by MATLAB, the high accuracy of the proposed adaptive relay was achieved. Furthermore, the proposed method has the ability to encompass all faults and tackles the influence of various power system conditions by finding the optimized equation coefficients for the nonuniform structures.

关键词： combined transmission system multiobjective genetic algorithm quadrilateral zone characteristic reach accuracy

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Improving the Long Lead-Time Inundation Forecasts Using Effective Typhoon Characteristics

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WATER RESOURCES MANAGEMENT 2016年第12期30卷 4247-4271页

作者： Jhong, Bing-Chen Wang, Jhih-Huang Lin, Gwo-Fong Natl Taiwan Univ Dept Civil Engn Taipei 10617 Taiwan

In this paper, a new type of inundation forecasting model with the effective typhoon characteristics is proposed by integrating support vector machine (SVM) with multi-objective genetic algorithm (MOGA). Firstly, a comparison of the proposed model and an existing model based on back-propagation network (BPN) is made to highlight the improvement in forecasting performance. Next, the proposed model is compared with the SVM-based model without typhoon characteristics to investigate the influence of typhoon characteristics on inundation forecasting. Effective typhoon characteristics for improving forecasting performance are identified as well. An application to Chiayi City, Taiwan, is conducted to demonstrate the superiority of the proposed model. The results confirm that the proposed model with the effective typhoon characteristics does improve the forecasting performance and the improvement increases with increasing lead-time, especially for long lead-time forecasting. The proposed model is capable of optimizing the input to decrease the negative impact when increasing forecast lead time. In conclusion, effective typhoon characteristics are recommended as key inputs for inundation forecasting during typhoons.

关键词： Inundationforecasting Typhooncharacteristics Longlead-timeforecasting multiobjective genetic algorithm Support vector machine Neural network

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