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IEEE Power and Energy Society General Meeting

作者： Deep Kiran A. R. Abhyankar B. K. Panigrahi Nilanjan Senroy Department of Electrical Engineering Indian Institute of Technology Delhi

ISBN: (纸本)9781467380416

Power network segmentation has many applications in the operation of power systems. The context of segmentation changes with the application. With the introduction of competition and associated modes of transaction, network segmentation with reference to congestion became a necessity. This paper proposes a methodology to solve network segmentation problem in wholesale competition environment so that appropriate bid areas are formed. A two-step process is proposed. The first step involves optimization based clustering of nodes with LMP closeness as a decision metric. The second step involves fine tuning of results of the first step by bus migration process. The results have been obtained on data of IEEE 30 bus system as well as Western Regional Grid of India.

关键词： Electrical distance Network partitioning Locational marginal price differential evolution algorithm electrical distance differential evolution algorithms First Step fine tuning power systems

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Simulation study for generalized logistic function in thermal data modeling

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JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY 2014年第2期118卷 1253-1268页

作者： Tarrio-Saavedra, Javier Lopez-Beceiro, Jorge Naya, Salvador Francisco-Fernandez, Mario Artiaga, Ramon Univ A Coruna Escola Politecn Super Ferrol Spain Univ A Coruna Fac Informat La Coruna Spain

The principal aim of the present study is to describe, analyze, and compare from a statistical standpoint the generalized logistic model with some well-known models used in the solid-state kinetics: power law, Avrami-Erofeev, and reaction order. For this purpose, synthetic conversion curves that simulate the kinetic processes were generated using the power law, Avrami-Erofeev, and reaction order models, where the Arrhenius equation was assumed in all the cases. This comprehensive simulation study allows to describe the relationship between the parameters belonging to the proposed generalized logistic model and the pointed traditional models' parameters, and also to validate the performance of the generalized logistic model in a wide variety of cases where other methods can be applied. Performing this analysis has been necessary to employ some new statistical techniques in thermal analysis modeling as the generalized additive models, and to perform global optimization evolutionary algorithms as the differential evolution for solving the non-linear regression problem. In order to implement these techniques, R statistical software routines were developed and applied.

关键词： Generalized logistic model Kinetics Thermal analysis differential evolution algorithms Generalized additive models

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Application of Anaerobic Digestion Model No. 1 to describe the syntrophic acetate oxidation of poultry litter in thermophilic anaerobic digestion

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BIORESOURCE TECHNOLOGY 2014年 167卷 495-502页

作者： Rivera-Salvador, Victor Lopez-Cruz, Irineo L. Espinosa-Solares, Teodoro Aranda-Barradas, Juan S. Huber, David H. Sharma, Deepak Toledo, J. Ulises Univ Autonoma Chapingo Dept Ingn Agroind Chapingo 56230 Estado De Mexic Mexico Univ Autonoma Chapingo Chapingo 56230 Estado De Mexic Mexico West Virginia State Univ Gus R Douglass Inst Institute WV 25112 USA Inst Politecn Nacl Unidad Profes Interdisciplinaria Biotecnol Mexico City 07340 DF Mexico West Virginia State Univ Dept Biol Institute WV 25112 USA

A molecular analysis found that poultry litter anaerobic digestion was dominated by hydrogenotrophic methanogens which suggests that bacterial acetate oxidation is the primary pathway in the thermophilic digestion of poultry litter. IWA Anaerobic Digestion Model No. 1 (ADM1) was modified to include the bacterial acetate oxidation process in the thermophilic anaerobic digestion (TAD). Two methods for ADM1 parameter estimation were applied: manual calibration with non-linear least squares (MC-NLLS) and an automatic calibration using differential evolution algorithms (DEA). In terms of kinetic parameters for acetate oxidizing bacteria, estimation by MC-NLLS and DEA were, respectively, km 1.12 and 3.25 +/- 0.56 kg(COD) kg(COD)(1) d(1), K-S 0.20 and 0.29 +/- 0.018 kg(COD)m(3) and Yac-st 0.14 and 0.10 +/- 0.016 kg(COD) kg(COD)(1). Experimental and predicted volatile fatty acids and biogas composition were in good agreement. Values of BIAS, MSE or INDEX demonstrate that both methods (MC-NLLS and DEA) increased ADM1 accuracy. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： differential evolution algorithms Non-linear least squares Kinetic parameters Parameter estimation Anaerobic digestion model

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An Adaptive Strategy to Adjust the Components of Memetic algorithms 26

An Adaptive Strategy to Adjust the Components of Memetic Alg...

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26th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

作者： Xu, Jin Cai, Zhihua Gong, Wenyin China Univ Geosci Dept Comp Sci Wuhan 430074 Peoples R China

ISBN: (纸本)9781479965731

Memetic algorithms(MAs) represent one of the promising areas of evolutionary algorithms. However, there are many issues to be solved to design a robust MA. In this paper, we introduce an adaptive memetic algorithm, named GADEDHC, which combines a genetic algorithm and a differential evolution algorithm as global search methods with a directional hill climbing(DHC) algorithm as local search method. In addition, a novel strategy is proposed to balance the intensity of global search methods and local search method, as well as the ratio between genetic algorithm and differential evolution algorithm. Experiments on several benchmark problems of diverse complexities have shown that the new approach is able to provide highly competitive results compared with other algorithms.

关键词： Algorithm design and analysis Benchmark testing Genetic algorithms Memetics Search methods Sociology Statistics Search methods Benchmark testing Algorithm design and analysis Genetic Algorithm (GA) Sociology differential evolution algorithms

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Optimal PID Controller for Ball and Beam System

Optimal PID Controller for Ball and Beam System

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IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)

作者： Prasad, K. T. Hote, Y. V. Indian Inst Technol Dept Elect Engn Roorkee 247667 Uttar Pradesh India

ISBN: (纸本)9781479940400

In this paper, PID controller is designed for Ball and Beam system using Genetic Algorithm and differential evolution. The analysis shows that the differential evolution algorithm is better in comparison to Genetic algorithm with respect to speed of convergence and performance index. Further, it is also observed that the controller design based on differential evolution shows faster disturbance rejection in comparison to Genetic algorithm. All the results are simulated in MatIab environment.

关键词： Ball Device Component Proportional Integral Derivative Control Genetic Algorithm (GA) beam system controller design differential evolution algorithms Disturbance rejection performance indicators evolutionary algorithm Converge

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Adaptive differential evolution algorithm for solving non-linear coordination problem of directional overcurrent relays

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IET GENERATION TRANSMISSION & DISTRIBUTION 2013年第4期7卷 329-336页

作者： Moirangthem, Joymala Krishnanand, K. R. Dash, Subhransu Sekhar Ramaswami, Ramas Siksha O Anusandhan Univ Dept Elect Engn Bhubaneswar 751030 Orissa India Natl Univ Singapore Dept Elect & Comp Engn Singapore 117548 Singapore SRM Univ Dept Elect & Elect Engn Madras 603203 Tamil Nadu India

An effective coordination in an interconnected system can be obtained by ensuring proper settings of overcurrent relays. In this research work, the problem of coordinating the overcurrent relays is formulated as a non-linear problem, taking into account the as discrete nature of time dial settings and the pickup current settings. An effective approach based on adaptive differential evolution (ADE) algorithm is proposed to solve the coordination problem. The results obtained by ADE are compared with different algorithms on different model test systems and found to be feasible, robust and efficient.

关键词： Dyscoordination overcurrent relay evolutionary algorithm differential evolution algorithms

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A CREATIVE differential evolution ALGORITHM FOR GLOBAL OPTIMIZATION PROBLEMS

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JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN 2013年第5期21卷 551-561页

作者： Kuo, Hsin-Chuan Lin, Ching-Hai Wu, Jeun-Len Natl Taiwan Ocean Univ Dept Syst Engn & Naval Architecture Keelung Taiwan

Under the framework of the differential evolution algorithm, we develop a creative algorithm by extrapolating the thinking of the garbage can model. The developed algorithm is hence named in the study as a creative differential evolution algorithm (CDE). To verify the performance of the CDE, we selected seven well-known benchmark functions;three of them are uni-modal and four multi-modal. In conducting the numerical experiment, we adopted two different numbers of dimensions for each test function, which is 50 and 100. The results show that CDE can find the global optimum robustly, demonstrate that CDE significantly improves the DE's performance.

关键词： global optimizations differential evolution algorithms garbage can decision-making model creative differential evolution algorithm

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Saliency Ratio and Power Factor of IPM Motors Optimally Designed for High Efficiency and Low Cost Objectives

Saliency Ratio and Power Factor of IPM Motors Optimally Desi...

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IEEE Energy Conversion Congress and Exposition

作者： Peng Zhang Dan M. Ionel Nabeel A.O. Demerdash General Motors Pontiac MI Regal Beloit Corp. Grafton WI Marquette University Milwaukee WI

ISBN: (纸本)9781479957774

This study uses formal mathematical optimization techniques based on parametric computationally-efficient models and differential evolution algorithms. For constant-power applications, in the novel approach described, three concurrent objective functions are minimized: material cost, losses, in order to ensure high efficiency, and the difference between the rated and the characteristic current, aiming to achieve wide constant-power flux-weakening range. Only the first two objectives are considered for constant-torque applications. Two types of Interior Permanent Magnet (IPM) rotors in a single and double-layer V-shaped configuration are considered, respectively. The stator has the typical two slots per pole and phase distributed-winding configuration. The results for the constant-torque design show that, in line with expectations, high efficiency and high power factor machines are more costly, and that the low cost machines have poorer efficiency and power factor and most importantly, and despite a common miss-conception, the saliency ratio can also be lower in this case. For constant-power designs, the saliency ratio can be beneficial. Nevertheless, despite a common misconception, when cost is considered alongside performance as an objective, a higher saliency ratio does not necessarily improve the power factors of motors suitable for ideal infinite flux-weakening.

关键词： Reactive power Saliency ratio differential evolution algorithms constant torque Engines Motor

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A discrete differential evolution algorithm for lot-streaming flow shop scheduling problems

A discrete differential evolution algorithm for lot-streamin...

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IEEE Conference Anthology

作者： Kesheng Lu Lingzhi Wang Department of Mathematics and Computer Sciences Guangxi Normal University for Nationality Chongzui Guangxi PR China Department of Mathematics and Computer Sciences Liuzhou Teachers College Liuzhou Guangxi PR China

This paper deals with the total weighted tardiness and earliness penalties for lot-streaming flow shop scheduling problems. A discrete differential evolution (DDE) algorithm with job permutations based representation is proposed. In the proposed DDE algorithm, the DE-based evolution is used to perform global exploitation, and a local search procedure based on the insert and swap neighborhood structure is used to stress the exploration capability, and a restart scheme is employed to avoid the stagnation of the evolution. Extensive computational simulations and comparisons are provided, which demonstrate the effectiveness of the proposed DDE algorithm.

关键词： differential evolution lot-streaming flow shop metaheuristics total eariliness and tardiness Dichlorodiphenyl Dichloroethylene shopping mall differential evolution algorithms evolutionary algorithm inserts

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A Dynamic Archive Niching differential evolution Algorithm for Multimodal Optimization

A Dynamic Archive Niching Differential Evolution Algorithm f...

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IEEE Congress on evolutionary Computation

作者： Michael G. Epitropakis Xiaodong Li Edmund K. Burke Department of Computing Science and Mathematics School of Natural Sciences University of Stirling School of Computer Science and IT RMIT University

ISBN: (纸本)9781479904532

Highly multimodal landscapes with multiple local/global optima represent common characteristics in real-world applications. Many niching algorithms have been proposed in the literature which aim to search such landscapes in an attempt to locate as many global optima as possible. However, to locate and maintain a large number of global solutions, these algorithms are substantially influenced by their parameter values, such as a large population size. Here, we propose a new niching differential evolution algorithm that attempts to overcome the population size influence and produce good performance almost independently of its population size. To this end, we incorporate two mechanisms into the algorithm: a control parameter adaptation technique and an external dynamic archive along with a reinitialization mechanism. The first mechanism is designed to efficiently adapt the control parameters of the algorithm, whilst the second one is responsible for enabling the algorithm to investigate unexplored regions of the search space and simultaneously keep the best solutions found by the algorithm. The proposed approach is compared with two differential evolution variants on a recently proposed benchmark suite. Empirical results indicate that the proposed niching algorithm is competitive and very promising. It exhibits a robust and stable behavior, whilst the incorporation of the dynamic archive seems to tackle the population size influence effectively. Moreover, it alleviates the problem of having to fine-tune the population size parameter in a niching algorithm.

关键词： population size control parameter archives evolutionary algorithm differential evolution algorithms algorithms

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