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Review: Multi-objective optimization methods and application in energy saving

ENERGY 2017年 125卷 681-704页

作者： Cui, Yunfei Geng, Zhiqiang Zhu, Qunxiong Han, Yongming Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing Peoples R China Minist Educ China Engn Res Ctr Intelligent PSE Beijing 100029 Peoples R China

Multi-objective optimization problems are difficult to solve in that the optimized objectives are usually conflicting with each other. It is usually hard to find an optimal solution that satisfies all objectives from the mathematical point of view. Unlike analytical methods and classical numerical methods, which require strict mathematical calculation or defined initial search values, intelligent optimization algorithms are heuristic algorithms able to find global optimal solutions. In this paper, we make a brief introduction of multi-objective optimization problems and some state-of-the-art intelligent algorithms. In order to get the final optimal solution in the real-world multi-objective optimization problems, trade-off methods including a priori methods, interactive methods, Pareto-dominated methods and new dominance methods are utilized. Moreover, we give a review of multi-objective optimization methods application in the environmental protection fields, for optimization objectives of energy saving, emissions reduction and cost reduction, etc. At last, a whole summary about current difficulties existed in the multi-objective optimization problem is given out, serving as suggestions or guidance for future researches. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Multi-objective optimization intelligent optimization algorithms Trade-off solution Energy saving Emissions reduction

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Development of a hydrate formation prediction model for sub-sea pipeline

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PETROLEUM SCIENCE AND TECHNOLOGY 2017年第5期35卷 443-450页

作者： Abbasi, Aijaz Hashim, Fakhruldin Mohd Univ Teknol PETRONAS Dept Mech Engn Seri Iskandar Malaysia

In this research work, a novel model is developed to the hydrate formation pressure and hydrate formation temperature for a single component of methane (CH4) gas. This research model holds at a temperature and pressure of real-time data for pure water, methane, and other mixtures of gases, respectively. Furthermore, the modelling and statistical analysis conducted in this research were divided into three major segments;the assessment of the computability of the mathematical models, the performance of the proposed optimization techniques, and the comparison of the proposed techniques with real-time data of gas pipeline. Results showed that the improved optimization algorithms are in admirable compliance with the real-time data. These correlations are providing the capability to predict gas-hydrate-forming conditions for a wide range of hydrate formation data.

关键词： Deepwater pipeline empirical equations hydrate formation prediction intelligent optimization algorithms statistical analysis

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Rational random walk-based optimal placement of phasor measurement units to enhance the initializing and guiding the optimization processes

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2017年第7期27卷 n/a-N.PAG页

作者： Parpaei, Mohammad Ghaffarzadeh, Navid Tayar, Mirza Zuhaib Imam Khomeini Int Univ Fac Engn & Technol Qazvin Iran

Phasor measurement unit (PMU) is one of the state estimation devices that can synchronously measure both the voltage and the current phasor. Different methods have been presented for detecting the optimal number of PMUs. Some disadvantages of these methods are high computation burden, dependence on tuning parameters, complex calculation, and lack of accountability in large-scale power networks. This paper presents the novel strategy called rational random walk (RRW) to tackle these disadvantages. The first advantage of the proposed approach is the simple structure than conventional approaches. The second advantage is the independence of tuning parameters. The third advantage is the capability of implementation on the large-scale power networks. The fourth advantage is the use of 2-stage strategy for reducing the search space. The fifth advantage is capability of RRW to superimpose on the conventional optimization algorithm to enhance the convergence speed. The sixth advantage is capability of RRW to extract the optimal PMU placement under N-1 contingency. Superiority of the RRW in comparison with other methods is verified by implementing on the standard Institute of Electrical and Electronics Engineers (IEEE) test systems. Moreover, the proposed method has been used to specify and test the minimum number of PMUs in 2 real life systems in Iran power network. One of them is 400kV, and the other one is 230kV, and also a large-scale test system polish 2383-bus power system.

关键词： distributed power generation evolutionary algorithm intelligent optimization algorithms optimal PMU placement (OPP)

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Soft Computing Techniques Applied to Distribution Network Reconfiguration: A Survey of the State-of-the-Art 8

Soft Computing Techniques Applied to Distribution Network Re...

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8th International Conference on Computational Intelligence and Communication Networks (CICN)

作者： Srivastava, Ishan Bhat, S. S. VNIT Elect Engn Dept Nagpur Maharashtra India

ISBN: (纸本)9781509011445

Network reconfiguration is the process of altering the topological structure of distribution feeders to achieve more reliable and economic operation of distribution network. Distribution Network Reconfiguration (DNR) is a multi-objective, combinatorial, non-differentiable constrained optimization problem. This strategy nowadays is very frequently used by distribution engineers to meet various objectives like loss minimization and power quality enhancement. This paper describes the various possible objectives and constraints of radial network reconfiguration. This paper also presents a comprehensive review of various strategies of network reconfiguration which are mainly based on heuristic methods and intelligent optimization algorithm.

关键词： Feeder Reconfiguration Combinatorial Heuristic Methods intelligent optimization algorithms Soft computing techniques

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A fast fault location method based on detecting the minimum number of phasor measurement units using a novel adaptive binary differential evolution optimization algorithm

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2015年第11期25卷 2933-2947页

作者： Ghaffarzadeh, Navid Parpaei, Mohammad Tayar, Mirza Zuhaib Imam Khomeini Int Univ Tech & Engn Fac Qazvin Iran

This paper proposes a novel adaptive binary differential evolution optimization algorithm based on optimal placement of phasor measurement units (PMUs) and an intelligent strategy for fault location in power systems. The novelties of the proposed adaptive binary differential evolution optimization algorithm are that the proposed approach presents two new factors, namely, "weight factor" and "reduction factor", in order to improve convergence speed and enhance the capability of the novel modified binary differential evolution optimization algorithm for detecting optimal placement of PMUs in large-scale problems. To investigate the capability of the proposed approach, it is applied to several IEEE test systems (IEEE 14 bus, IEEE 24 bus, IEEE 30 bus, IEEE 39 bus, and IEEE 57 bus test systems). In addition, a comparison with conventional optimization algorithms has been carried out. Then, according to the PMUs data, an intelligent fault location strategy will be proposed. The main advantages of the proposed intelligent fault location strategy are higher accuracy and speed than conventional fault location approaches. Copyright (c) 2014 John Wiley & Sons, Ltd.

关键词： binary differential evolution optimal PMU placement fault location intelligent optimization algorithms

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Application of firefly algorithm for job shop scheduling

Application of firefly algorithm for job shop scheduling

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2016 4th International Conference on Machinery,Materials and Computing Technology(ICMMCT 2016)

作者： Guiying Mai Gansu Normal University for Nationalities

An improved firefly algorithm is proposed for solving the job shop scheduling *** with the characteristic of job shop scheduling problem, combining disjunctive graph according to the sequence of scheduling, analyzing Scheduling options that decided by exchangeable set and alternative set, and then we can determine the optimal scheduling. Simulation results based on well-known benchmarks and comparisons with standard genetic algorithm demonstrate the effectiveness of the proposed bionic algorithm.

关键词： Firefly Algorithm Job Shop Scheduling Problem job splitting intelligent optimization algorithms

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Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search

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SOFT COMPUTING 2015年第9期19卷 2605-2617页

作者： Jiang, Yunzhi Tsai, Pohsiang Hao, Zhifeng Cao, Longbing Jiangxi Agr Univ Sch Software Nanchang Peoples R China S China Univ Technol Sch Comp Sci & Engn Guangzhou Guangdong Peoples R China Natl Formosa Univ Dept Comp Sci & Informat Engn Huwei Taiwan Univ Technol Sydney Adv Analyt Inst Ctr Quantum Computat & Intelligent Syst Sydney Ultimo Australia

Image segmentation techniques have been widely applied in many fields such as pattern recognition and feature extraction. For the primate visual attention model, the perceptual organization is an important process to automatically extract the desirable features. In this article, we propose a new method called an automatic multilevel thresholding algorithm using the stratified sampling and Tabu Search (AMTSSTS) by imitating the primate visual perceptual behaviors. In the AMTSSTS algorithm, a gray image is treated as a population with the gray values of pixels as the individuals. First, the image is evenly divided into several strata (blocks), and a sample is drawn from each stratum. Second, a Tabu Search-based optimization is applied to each sample to maximize the ratio between mean and variance for each sample. The threshold number and threshold values are preliminarily determined based on the optimized samples, and are further optimized by a deterministic method which includes a new local criterion function with property of local continuity of an image. Results of extensive simulations on Berkeley datasets indicate that AMTSST Scan obtain more effective, efficient and smooth segmentation, and can be applied to complex and real-time environments.

关键词： Image segmentation Multilevel thresholding intelligent optimization algorithms Stratified sampling Tabu Search

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Review of Power Network Planning Research Status

Review of Power Network Planning Research Status

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IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)

作者： Xue Lei Wang Li-bin Li Chunhui Li Qiang Shanxi Elect power Corp Econ & Tech Inst State Gr Taiyuan Peoples R China Taiyuan Univ Technol Taiyuan Peoples R China

ISBN: (纸本)9781479969890

Primary mission and basic principle of power network planning is introduced in detail. Mathematical model of power network planning and related constraints are summarized. Several methods based on mathematical optimization, heuristic algorithm, as well as the intelligent optimization algorithms, such as genetic algorithm are illustrated separately, the characteristics and problems of algorithms are analyzed. The defects, which appear while the above heuristic algorithms are applied to nonlinear combination optimization problem, e.g., power network planning, are analyzed. Finally, the problems to be deeply studied are pointed out.

关键词： Power Network Planning Smart grid Heuristic algorithm intelligent optimization algorithms

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intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner Mongolia, China

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APPLIED ENERGY 2013年 109卷 239-253页

作者： Dong, Yao Wang, Jianzhou Jiang, He Shi, Xiaomeng Lanzhou Univ Sch Math & Stat Lanzhou 730000 Peoples R China Florida State Univ Dept Stat Tallahassee FL 32310 USA

The exploration of wind energy has become one of the most significant aims for countries all around the world. This is due to its low impact on the environment and its sustainable development. Therefore, it is very important to develop an effective and scientific way to evaluate wind resource potential and so that suitable wind turbines can be chosen. In this study, the 4-times daily wind speed data for the past 63 years in Huitengxile of Inner Mongolia in China was collected first to do mutation tests using Sliding T-test and Sliding F-test. The test results indicated that the wind speeds exhibited a significant change in the mean value and a big variation in variance. Secondly, in order to improve the assessment accuracy, three intelligent optimization algorithms were applied to estimate Weibull's parameters, including Particle Swarm optimization (PSO), Differential Evolution (DE) and Genetic Algorithm (GA). Finally, some new criteria, such as matching index, turbine cost index and the integrated matching index, were proposed in order to choose the most fitting wind turbine in accordance with the local environment and economic cost. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Mutation test intelligent optimization algorithms Wind resource assessment Selection suitable wind turbine

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Research Status and Progress on Anti-ship Missile Path Planning

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Acta Automatica Sinica 2013年第4期39卷 347-359页

作者： Gang LIU Song-Yang LAO Dong-Feng TAN Zhi-Chao ZHOU Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Changsha 410073 China Unit 95039 of PLA Shantou 515049 China Naval Marine Institute Guangzhou 510430 China

Path planning is one of the multi-objective non-linear optimization problems with multiple constraints. The problem of anti-ship missile path planning (ASMPP) and its approaches are reviewed in this work. Firstly, the research status of ASMPP problem domains is analyzed. It includes unification and specification of correlative nomenclature about ASMPP, the problem boundary and definition, and the characteristics of ASMPP. Secondly, the research progress of problem model is analyzed. Thirdly, the research progress of ASMPP methods based on geometry principle and intelligent optimization algorithms is analyzed. Fourthly, the research progress of cooperative path planning methods of anti-ship missiles launched from multiple platforms is analyzed and summarized. Finally, a brief conclusion of the key problems and the development trend of ASMPP are elaborated.

关键词： Anti-ship missile path planning geometry intelligent optimization algorithms multiple platforms

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