检索结果-内蒙古大学图书馆

Dynamic feed-in tariff pricing model of distributed photovoltaic generation in china

Energy Procedia 2018年 152卷 27-32页

作者： Changhui Yang Zhixiang Ge School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

Because china’s long-term constant photovoltaic (PV) feed-in tariff policy has not been able to adapt to the decline in the cost of PV equipment, and too broad regional pricing will hinder the development of distributed photovoltaic generation (DPVG) to some extent. Therefore, this paper will re-evaluate china’s solar resource endowments into five regions, and based on the accounting cost method, combine the learning curve of PV equipment to accurately measure the dynamic unit generation cost of distributed PV. In addition, considering the reasonable returns to investors and tax factors, this study has obtained a dynamic feed-in tariff model for DPVG. A case study based on the model shows that the results of feed-in tariff is reasonable and effective, and the government should adjust the feed-in tariff more frequently according to the feed-in tariff pricing model in this study.

关键词： distributed photovoltaic feed-in tariff learning curve installed capacity research investment

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The research on the risks & the countermeasures of the distributed IT projects

The research on the risks & the countermeasures of the distr...

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International Conference on Computer and Management

作者： Zhu, Yinghong Liang, Changyong School of Management Hefei University of Technology Heifei Anhui China School of Vocational Technology Education Guangxi University of Technology Liuzhou Guangxi China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Heifei Anhui China

ISBN: (纸本)9781424492831

Nowadays, more and more large IT projects need to unit several entities to accomplish together, which forms project-oriented and geographically distributed virtual organizations and leads to new distributed risks. This article first gives a definition of the distributed IT projects (DITPs), then based on the literature, studies the risk characteristics, risk scope, risk factors of DITPs, and finally studies the developing process of the DITPs and gives a risk management process of iterative and incremental agile development of the whole lifecycle of the DITPs from a few respects such as the set of an organization goal of win-win, the project development of grading iteration and increment, the introduction supervisory mechanism of a third party, and the establishment of study mechanism of risk management. ©2011 IEEE.

关键词： Grading

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An interactive genetic algorithm based on improved sharing mechanism for automobile modeling design

An interactive genetic algorithm based on improved sharing m...

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3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011

作者： Liang, Changyong Cai, Meiju Lu, Qing Institute of Computer Network Hefei University of Technology Anhui China Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Anhui China Institute of Economics and Management Shanghai University of Electric Power Shanghai China

ISBN: (纸本)9783642238802

By introducing niche ideas based on sharing mechanism into the domain of interactive evolutionary computation, an interactive genetic algorithm based on improved sharing mechanism (ISMIGA) is developed. In the algorithm, the concept of niche entropy and adaptive niche radius is introduced to ensure population diversity, which avoids local converge, improves algorithm efficiency and contributes to balance the defects which are generated when the traditional interactive genetic algorithm deals with the contradiction between maintaining population diversity and accelerating the convergence. The simulation experiment of automobile modeling design shows the proposed algorithm is feasible and effective. © 2011 Springer-Verlag.

关键词： Entropy

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Application Research on Electricity Demand Forecasting Based on Gaussian Quadrature Formula

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Procedia Engineering 2011年 15卷 5574-5578页

作者： Xiaojia Wang Hefei University of Technology. Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei Anhui. 230009China

This paper constructs the background value of grey GM (1, 1) model by using Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction of the background value is the key ... 详细信息

关键词： GM (1 1) model Gauss quadrature formula background value forecasting

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Novel correlation coefficients for hesitant fuzzy sets and their applications to supplier selection and medical diagnosis

Novel correlation coefficients for hesitant fuzzy sets and t...

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作者： Yang, Jinxin Tang, Xiaoan Yang, Shanlin School of Management Hefei University of Technology Box 270 Hefei Anhui230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei Anhui China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada

Hesitant fuzzy set theory provides an effective technique for researchers and engineers to cope with vagueness and uncertainty. In recent years, to explore the correlation between hesitant fuzzy sets, traditional correlation measure in statistics has been constantly studied in hesitant fuzzy environments. In this study, extant studies of correlation measures in hesitant fuzzy contexts are recalled and analyzed. In view of the forgoing analysis, we find out that the extant correlation coefficients have some limitations. Moreover, a few correlation coefficients are not in line with the traditional definition of correlation coefficients. In order to address the flaws of the existing proposals, a novel hesitant fuzzy correlation coefficient is proposed in this study. The new proposal of this study can not only overcome the flaws of the old hesitant fuzzy correlation coefficients, but it also shows several desirable characteristics. The weighted form of the newly defined correlation coefficient and its features are also investigated. Finally, three numerical examples concerning supplier selection and medical diagnosis are examined using the developed correlation coefficients to demonstrate their applicability. Comparison analyses with existing proposals highlight the efficiency of our proposals. © 2018 - IOS Press and the authors. All rights reserved.

关键词： decision making

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The forecasting of weekly tourists visiting a scenic area in off-season by using goodness of fit weight

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International Journal of Smart Home 2016年第3期10卷 21-30页

作者： Ma, Yin-Chao Liang, Chang-Yong Lu, Cai-Hona School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

Due to the impact of external objective factors, the weekly number of tourist distribution is imbalance and shows strong nonlinear characteristics, especially more obvious in the off-season. Aiming at this problem, this paper built two different forecasting models by SVR and BP neural network in order to guess about the weekly tourist numbers and then, put forward the Goodness of Fit Weight (GFW) and used it to make three SVR-BP combination models (LCM, GEOM-WTD, and HARM). In order to support the results empirically, Data of the Huangshan Scenic Area has been used and the dynamic virtual variable was adopted to deal with the objective factors that influence the weekly visitor numbers. Finally, we compare the results with the two combination models that based on the VARW and MSEW, it shows that the GFW combination model is helpful for the combination forecasting and can be used as one of selections just like other weights, and the use of dynamic virtual variables can further improve the forecasting precision. © 2016 SERSC.

关键词： Forecasting

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Optimal Operation Of Battery Energy Storage System In Industrial Park

Optimal Operation Of Battery Energy Storage System In Indust...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Kaile Zhou Zenghui Zhang Xinhui Lu Key Laboratory of Process Optimization and Intelligent Decision-making Schoolof Management Hefei University of Technology Hefei China

ISBN: (纸本)9781665434263

An industrial park containing distributed generations (DGs) can be seen as a microgrid. Due to the uncertainty and intermittency of the output of DGs, it is necessary to add battery energy storage system (BESS) in industrial parks. The battery state of health (SOH) is an important indicator of battery life. It is necessary to fully consider the battery SOH during the energy optimization of industrial parks. In this work, a two-stage model suitable for charge and discharge optimization of BESSs in industrial park microgrids is proposed. The first stage of the model is a charge and discharge scheduling of a BESS considering the SOH. This stage mainly schedules the charge and discharge time and the total amount of time. The second stage of the model is employed to further determine the charge and discharge allocation of all battery packs to achieve BESS life prolongation. The experimental results show that the introduction of SOH makes the scheduling results more realistic. Also, it balances the changes in the SOHs of all battery packs.

关键词： Schedules Job shop scheduling Uncertainty Rain Microgrids System integration Discharges (electric)

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A Credit Management Mechanism for Peer-to-Peer Electricity Trading in Blockchain Environment

A Credit Management Mechanism for Peer-to-Peer Electricity T...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Jinhuan Guo Kaile Zhou Jie Chong Key Laboratory of Process Optimization and Intelligent Decision-making School of Management Hefei University of Technology Hefei China

ISBN: (纸本)9781665434263

With the rapid development of distributed generation, peer-to-peer (P2P) electricity trading between microgrids in blockchain environment has become one of the indispensable ways to consume the local renewable energy. The existing credit management for P2P electricity trading generally realized through the smart contract of penalty, which cannot show the risk identification and risk aversion behaviors of each microgrid. Therefore, this study proposes a newly credit management mechanism to reduce the defaults, which achieves credit-based risk control optimization and credit-based continuous double auctions. In the first stage, microgrids make robust control optimize to submit a trading strategy that follows contracts as far as possible. In the second stage, which realizes rewards and penalties through credit-based equivalent price conversion. The experimental results show that the proposed credit management mechanism can improve microgrids' interests and ensure fair environment.

关键词： Robust control Renewable energy sources Smart contracts Microgrids System integration Power markets Real-time systems

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An improved discrete optimization algorithm based on artificial fish swarm and its application for attribute reduction

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Journal of Information and Computational Science 2015年第6期12卷 2143-2154页

作者： Ni, Zhiwei Zhu, Xuhui Ni, Liping Cheng, Meiying Wang, Yiling School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei China

The discrete Artificial Fish Swarm Algorithm (AFSA) has some defectives, such as falling into local optimum value, converging slowly. In order to overcome these shortcomings, an improved discrete optimization algorithm based on artificial fish swarm (IDAFSA) is proposed by improving swarming and preying behavior and moving way for making it discrete, and introducing a strategy of overcoming the local optimum. In addition, the paper strengthens the theoretical basis of the algorithm by proving the global convergence. And then, this algorithm which was combined with fractal dimension is applied to attribute reduction problem. Finally, analyzing the parameters in detail and comparing with other literatures by testing six UCI datasets, and the experimental results show that the method has relatively high feasibility and effectiveness. Copyright © 2015 Binary Information Press.

关键词： Fractal dimension

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The Utility Frequent Pattern Mining Based on Slide Window in Data Stream

The Utility Frequent Pattern Mining Based on Slide Window in...

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International Conference on intelligent Computation Technology and Automation, ICICTA

作者： Feng-gang Li Ying-jia Sun Zhi-wei Ni Yu Liang Xue-ming Mao Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei China

In traditional study of mining data stream, each item in the data stream is of equal importance. However, in practice, each item has a different significance, which is known as utility. This paper combines frequent mining item sets with utility and proposes an efficient algorithm for utility frequent pattern mining (UFPM). It combines bitmap with tree structure that can store and update the pattern of data stream quickly and completely by scanning only once. The algorithm generated by lexicographic order, proposes a novel tree U-tree and makes convenience for pattern updating and user reading. With a pattern growth approach in mining, the algorithm can effectively avoid the problem of a mass candidacy generation by level-wise searching. The experiments results show that our algorithm which is in high efficiency and good scalability outperforms the existing analogous algorithm.

关键词： Data mining Itemsets Algorithm design and analysis Scalability Focusing Automation

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