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Short-Term Load Forecast of Microgrids by a New Bilevel Prediction Strategy

IEEE TRANSACTIONS ON SMART GRID 2010年第3期1卷 286-294页

作者： Amjady, Nima Keynia, Farshid Zareipour, Hamidreza Semnan Univ Dept Elect Engn Semnan Iran Univ Calgary Dept Elect & Comp Engn Schulich Sch Engn Calgary AB T2N 1N4 Canada

Microgrids are a rapidly growing sector of smart grids, which will be an essential component in the trend toward distributed electricity generation. In the operation of a microgrid, forecasting the short-term load is an important task. With a more accurate short-term loaf forecast (STLF), the microgrid can enhance the management of its renewable and conventional resources and improve the economics of energy trade with electricity markets. However, STLF for microgrids is a complex forecast process, mainly because of the highly nonsmooth and nonlinear behavior of the load time series. In this paper, characteristics of the load time series of a typical microgrid are discussed and the differences with the load time series of traditional power systems are described. In addition, a new bilevel prediction strategy is proposed for STLF of microgrids. The proposed strategy is composed of a feature selection technique and a forecast engine (including neural network and evolutionary algorithm) in the lower level as the forecaster and an enhanced differential evolution algorithm in the upper level for optimizing the performance of the forecaster. The effectiveness of the proposed prediction strategy is evaluated by the real-life data of a university campus in Canada.

关键词： differential evolution algorithm load forecast microgrid neural networks

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The open vehicle routing problem with fuzzy demands

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EXPERT SYSTEMS WITH APPLICATIONS 2010年第3期37卷 2405-2411页

作者： Cao Erbao Lai Mingyong Hunan Univ Coll Econ & Trade Changsha 410079 Hunan Peoples R China

According to the open vehicle routing problem (OVRP), a vehicle is not required to return to the distribution depot after servicing the last customer on its route. In this paper, the open vehicle routing problem with fuzzy demands (OVRPFD) is considered. A fuzzy chance-constrained program model is designed based on fuzzy credibility theory. Stochastic simulation and an improved differential evolution algorithm are integrated so as to use a hybrid intelligent algorithm to solve the OVRPFD model. The influence of the decision-maker's preference on the final outcome of the problem is analyzed using stochastic simulation, and the range of possible preferences is calculated. Crown Copyright (C) 2009 Published by Elsevier Ltd. All rights reserved.

关键词： Logistics distribution Open vehicle routing problem Fuzzy credibility Stochastic simulation differential evolution algorithm Optimization

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A new hybrid parallel algorithm for consistent-sized batch splitting job shop scheduling on alternative machines with forbidden intervals

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2010年第9-12期48卷 1091-1105页

作者： Zhao, Yan-wei Wang, Hai-yan Xu, Xin-li Wang, Wan-liang Zhejiang Univ Technol Minist Educ Key Lab Mech Manufacture & Automat Hangzhou 310014 Zhejiang Peoples R China

Considering alternative machines for operations, forbidden intervals during which machines cannot be available and a job's batch size greater than one in the real manufacturing environment, this paper studies the batch splitting scheduling problem on alternative machines with forbidden intervals, based on the objective to minimize the makespan. A scheduling model is established, taking before-arrival set-up, processing, and transfer time into account. And a new hybrid parallel algorithm, based on differential evolution and genetic algorithm, is brought forward to solve both the batch splitting problem and the batch scheduling problem by assuming a common number of sub-batches in advance. A solution consists of the actual optimum number of sub-batches for each job, the optimum batch size for each sub-batch, and the optimum sequence of operations for these sub-batches. Experiments on the performance of the proposed algorithm under different common numbers of sub-batches are carried out. The results of simulations indicate that the algorithm is feasible and efficient.

关键词： Consistent-sized batch splitting scheduling Forbidden intervals differential evolution algorithm Alternative machines

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Harmony search algorithm for transmission network expansion planning

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IET GENERATION TRANSMISSION & DISTRIBUTION 2010年第6期4卷 663-673页

作者： Verma, A. Panigrahi, B. K. Bijwe, P. R. Indian Inst Technol Dept Elect Engn New Delhi 110016 India

Transmission network expansion planning (TNEP) is a very important problem in power systems. It is a mixed integer, non-linear, non-convex optimisation problem, which is very complex and computationally demanding. Various meta-heuristic optimisation techniques have been tried out for this problem. However, scope for even better algorithms still remains. In view of this, a new technique known as harmony search is presented here for TNEP with security constraints. This technique has been reported to be robust and computationally efficient compared to other meta-heuristic algorithms. Results for three sample test systems are obtained and compared with those obtained with genetic algorithm and bacteria-foraging differential evolution algorithm to verify the potential of the proposed algorithm.

关键词： transmission network expansion planning power transmission planning nonconvex optimisation problem harmony search algorithm Power transmission, distribution and supply genetic algorithm mixed integer genetic algorithms Power system planning and layout nonlinear optimisation problem differential evolution algorithm Optimisation techniques

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Handling Box, Linear and Quadratic-Convex Constraints for Boundary Optimization with differential evolution algorithms

Handling Box, Linear and Quadratic-Convex Constraints for Bo...

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9th International Conference on Intelligent Systems Design and Applications

作者： Spadoni, Massimo Stefanini, Luciano Univ Bologna Dept Math Econ & Social Sci I-40126 Bologna Italy Univ Urbino DEMQ I-61029 Urbino Italy

ISBN: (纸本)9781424447350

We propose and test the performance of an implicit strategy to handle box, linear and quadratic convex constraints, based on changing the search space from points to directions, suitable to be easily implemented in combination with differential evolution (DE) algorithms for the boundary optimization of a generic continuous function. In particular, we see that DE can be efficiently implemented to find solutions on the boundary of box constraints, linear inequality constraints and quadratic convex constraints, for which the feasible set is convex and bounded. The computational results are performed on different classes of minimization problems.

关键词： Constrained Global Optimization Boundary Optimization differential evolution algorithm

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Solving Parameter Identification Problem in Sensor Dynamic Modeling by Means of differential evolution Approach

Solving Parameter Identification Problem in Sensor Dynamic M...

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2010 ETP/IITA Conference on System Science and Simulation in Engineering(SSSE 2010)

作者： KE WANG,XIAODONG WANG Department of Electronic Engineering Zhejiang Normal University Jinhua 321004,China

The differential evolution algorithm (DE) has the advantages of easy to implement,few control parameters and fast ***,the DE can cope very well with local optima,which is a known weakness of traditional nonlinear optimization *** this work,a novel approach based on DE algorithm is applied to identify the parameters of dynamic sensor model.A hot-film mass airflow sensor for measuring the intake mass airflow in the engine systems of automobile has been used as a simulation example for *** results show that the DE algorithm is feasible and effective in identifying the parameters of dynamic sensor models.

关键词： Parameter identification Sensor Dynamic model differential evolution algorithm

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Optimization of Minimum Completion Time MTSP Based on the Improved DE 1

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1st International Conference on Swarm Intelligence

作者： Zhou, Huiren Wei, Yinghui Tianjin Univ Inst Syst Engn Tianjin 300072 Peoples R China Liaoning Inst Sci & Technol Dept Management Benxi 117022 Peoples R China

ISBN: (数字)9783642134951

ISBN: (纸本)9783642134944

In order to solve traveling salesman problems that employed completion-time-shortest as the evaluating rule, an encoding method and improved differential evolution algorithm were proposed In these methods, real number encoding and roulette wheel selection were. adopted for improved differential evolution and neighborhood search operator was devised It was fit for solving symmetric and asymmetric multiple traveling salesman problem Asymmetric multiple traveling salesman problems were simulated By comparison with the results of genetic algorithm and standard differential evolution, it is shown thin the improved differential evolution algorithm proposed in this paper is efficient to solve the discrete combinatorial problem. such as optimization of multiple traveling salesman problems

关键词： differential evolution algorithm multiple traveling salesman problem discrete combinatorial problem optimization

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Modeling the Effects of Nanoparticles on Neuronal Cells: From Ionic Channels to Network Dynamics

Modeling the Effects of Nanoparticles on Neuronal Cells: Fro...

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32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Busse, Michael Kraegeloh, Annette Stevens, David Cavelius, Christian Rettig, Jens Arzt, Eduard Strauss, Daniel J. Saarland Univ Hosp Computat Diagnost & Biocybernet Unit Homburg Germany Saarland Univ Hosp Dept Physiol Homburg Germany Leibniz Inst New Mat Saarbrucken Germany

ISBN: (纸本)9781424441242

Engineered nanoparticles (NPs) offer great application potential in various fields, for example the chemical industry, energy management or medical sciences. Nanoparticles are increasingly being incorporated into daily products. But what happens, if living organisms are exposed to those NPs? Their ability to move seemingly barrier-free in organic tissue could be both beneficial and harmful. Even though research concerning nanotoxicity has already begun, there are still many open questions to be addressed. In this report, we propose a computational model applying the steady-state Hodgkin-Huxley-equations and the differential evolution algorithm for fitting the model to the data of patch-clamp measurements carried out by our group: Coated silvernanoparticles (Ag-Nano) in different concentrations were applied to single chromaffin cells while measuring the ionic currents in the whole-cell configuration. Compared to controls, significant differences in sodium-currents were observed after the application of NPs. Using the computational model, we could evaluate the parameters which model the change in behavior of neuronal cells due to the addition of Ag-Nano. This can ultimately give insight to underlying mechanisms. An integration to model the dynamic behavior of neuronal networks exposed to NP is easily conceivable using this technique.

关键词： Ag bioelectric phenomena biomembrane transport differential evolution algorithm engineered nanoparticles ionic channels ionic currents nanobiotechnology nanoparticles nanotoxicity network dynamics neuronal cells neurophysiology patch clamp measurements physiological models silver single chromaffin cells steady-state Hodgkin-Huxley equations toxicology

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Fighting Noise with Noise: DE with Individuals Shaking to Tackle Noisy Problems

Fighting Noise with Noise: DE with Individuals Shaking to Ta...

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2010 IEEE World Congress on Computational Intelligence

作者： Esmailzadeh, Ali Rahnamayan, Shahryar Univ Ontario Inst Technol UOIT Fac Engn & Appl Sci Oshawa ON L1H 7K4 Canada

ISBN: (纸本)9781424481262

The idea of fighting noise with noise is introduced in this paper and it has been utilized to enhance differential evolution algorithm to solve noisy problems efficiently. The Monte-Carlo method is employed to investigate applicability of the proposed concept on a simple real-life problem. Based on the current concept, DE with population shaking (DEPS) and with individuals shaking (DEIS) are developed. Furthermore, the parent algorithm, DE, is experimentally compared with DEPS and DEIS on a benchmark test suite with nine well-known noisy functions. Detailed experimental verifications and corresponding analysis are presented for the 2D to 500D problems, for various noise levels and shaking rates.

关键词： Monte Carlo methods Monte-Carlo method benchmark test suite corresponding analysis differential evolution algorithm evolutionary computation experimental verifications fighting noise individuals shaking noise abatement noise pollution noisy functions noisy problems parent algorithm population shaking real-life problem

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Design Research on Higher Precision Optical Fiber F-p Sensor for Detecting Surface Waves

Design Research on Higher Precision Optical Fiber F-p Sensor...

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5th International Symposium on Advanced Optical Manufacturing and Testing Technologies - Optical Test and Measurement Technology and Equipment

作者： Ning, Shan Heng, Guo Engn Coll Chinese Peoples Armed Police Force Dept Equipment & Transportat Xian 710086 Shanxi Peoples R China North China Univ Water Conservancy & Elect Power Sch Elect Power Zhengzhou 450011 Henan Peoples R China

ISBN: (纸本)9780819480866

The optical fiber F-p sensor deviates from working point easily because of machining error and external factors in practical applications. It leads to output signal attenuation and the decreasing of signal noise ratio. On this problem, the structure of optical fiber F-p sensor is designed. The technique of dual optical wavelength stabilization is put forward and adopted. Based on the technique, the system of low fineness optical fiber F-p sensor is designed. The mathematical model of sensing system is established. And differential evolution algorithm is introduced to establish the optimal model of sensing system for the first time. The structure of sensing system is simulated and optimized. The global optimization solution can be attained in shorter run time and the error is less than 10(-3). The simulation results prove that this algorithm is proper and feasible, high efficiency and reliable. It can be applied to optimize and design the structure of optical fiber F-p sensor. Then a higher quadrature precision sensing system is designed and machined. Experimental setup of laser ultrasound optical fiber F-p sensing system is established for detecting surface waves. The experimental results show this sensor can detect surface waves effectively. It has higher sensitivity and larger signal-to-noise ratio.

关键词： differential evolution algorithm optical fiber structural optimization surface waves dual wavelength technique

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