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fuzzy logic-based direct load control of air conditioning loads considering nodal reliability characteristics in restructured power systems

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ELECTRIC POWER SYSTEMS RESEARCH 2010年第1期80卷 98-107页

作者： Goel, L. Wu, Qiuwei Wang, Peng Nanyang Technol Univ Sch EEE Singapore 639798 Singapore

A fuzzy logic-based direct load control (DLC) scheme of large air conditioning loads (ACL), which considers the reliability characteristics of nodes where the ACL are connected, is proposed for restructured power systems. Transmission system reliability is integrated into the determination procedure of the DLC scheme of ACL using nodal reliability indices. fuzzy dynamic programming (FDP) is utilized to determine the optimal DLC scheme of ACL which can achieve a good tradeoff among peak load shaving, system operating cost reduction and system reliability improvement. The IEEE reliability test system (RTS) is used to illustrate the proposed technique. (C) 2009 Elsevier B.V. All rights reserved.

关键词： Direct load control fuzzy dynamic programming Restructured power systems Transmission system reliability Peak load shaving Operating cost reduction Reliability improvement

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Strategies for power systems expansion planning in a competitive electrical market

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ELECTRICAL ENGINEERING 2007年第5期89卷 433-441页

作者： Andreoni, A. M. Garcia-Agreda, A. Strada, T. J. Saraiva, J. T. San Juan Natl Univ Elect Energy Inst RA-5400 San Juan Argentina Duke Energy Int Houston TX USA INESC Porto Oporto Portugal

A new methodology is presented for decision making in long-term expansion planning. Power system expansion planning involves an intrinsic uncertainty on data and parameters, a fact often worsened by the new rules of deregulated electrical markets. The proposed procedure models both the uncertainty in load forecasting and the experience of the planning expert who uses fuzzy sets theory and fuzzy dynamic programming in the model algorithm to find an optimal expansion alternative. This procedure was tested in a realistic model system and the results obtained were arranged in an expansion planning ranking list according to their membership in the decision set.

关键词： electrical competitive market fuzzy dynamic programming growth planning power system

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A minimax theorem for zero-sum stopping games in dynamic fuzzy systems

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MATHEMATICAL AND COMPUTER MODELLING 1999年第2期29卷 19-33页

作者： Yoshida, Y Kitakyushu Univ Fac Econ & Business Adm Kitakyushu Fukuoka 8028577 Japan

This paper deals with a stopping game in dynamic fuzzy systems with fuzzy rewards. We show that the optimal fuzzy reward is a unique solution of a fuzzy relational equation, and we estimate fuzzy rewards, by introducing a fuzzy expectation with a density given by fuzzy goals. We prove a minimax theorem for fuzzy expected values and show the existence of the value of the game. (C) 1999 Elsevier Science Ltd. All rights reserved.

关键词： minimax theorem dynamic fuzzy system stopping game fuzzy expected value fuzzy dynamic programming

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A fuzzy model of predicting RNA secondary structure

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Science in China(Series F) 2007年第6期50卷 846-866页

作者： SONG DanDan DENG ZhiDong Department of Computer Science National Laboratory of Information Science and TechnologyTsinghua University Beijing 100084 China

We propose a novel model to predict RNA secondary structure based on the fuzzy sets theory. Through the fuzzy partition of state spaces and the incorporation of fuzzy goals, we can find the optimal fuzzy policy of the model using fuzzy dynamic programming algorithm effectively, and then determine optimal and suboptimal RNA secondary structures. Compared to the existing sophisticated prediction models, such as Zuker＇s method and the SCFG model, our fuzzy model based approach has many advantages： 1） computational complexity can be reduced by the fuzzy partition; 2） the optimal secondary structure and several suboptimal ones can be generated simultaneously; and 3） subjective prior knowledge can readily be incorporated. This paper presents a complete description of our fuzzy model and gives the implementation of the proposed method. We also apply the BJK fuzzy model structure to secondary structure predictions based on datasets of tRNA and tmRNA sequences. By the comparison of our fuzzy method with both the minimum free energy based mfold tool and the BJK grammar model of SCFG, our experimental results validate the effectiveness of the proposed method and the prediction accuracy is shown to be further improved.

关键词： RNA secondary structure fuzzy model fuzzy dynamic programming

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AN EFFICIENT ALGORITHM FOR OPTIMAL GENERATION MIX TAKING INTO ACCOUNT FUZZINESS OF DECISION-MAKING AND PLANNING PARAMETERS

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ELECTRICAL ENGINEERING IN JAPAN 1994年第4期114卷 37-49页

作者： TANABE, R YASUDA, K YOKOYAMA, R Tokyo Metropolitan University

This paper presents an efficient computational algorithm for selecting the optimal generation mix under uncertain circumstances. Subjective, experiential or linguistic uncertainties are selected from among various uncertainties, i.e., we treat fuzziness in generation expansion planning. The fuzziness can be divided into: (1) the fuzziness of decision making;and (2) the fuzziness of some planning parameters, such as load growth, fuel price, and so on. Both classes of fuzziness are integrated into a fuzzy decision based on fuzzy sets theory, and then the optimal generation mix can be determined by the fuzzy dynamic programming (FDP) technique. The proposed method, which is based on the dynamic programming technique, is extended by using the Bellman-Zadeh maximizing decision. In the method, each generation technology and generation capacity are selected as a stage and state, respectively. The proposed method can easily accommodate not only the fuzziness but also many constraints of generation expansion planning, such as integer solutions of unit capacities, condition of existing units, and so on. Furthermore, the arbitrary shape of membership function can be used. The effectiveness and feasibility of the proposed method are demonstrated on a typical power system model.

关键词： POWER SYSTEM ENGINEERING GENERATION PLANNING OPTIMAL GENERATION MIX UNCERTAINTY FUZZINESS fuzzy dynamic programming

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ON THE APPLICATION OF fuzzy-SETS THEORY TO THE OPTIMAL FLOOD-CONTROL PROBLEM ARISING IN WATER-RESOURCES SYSTEMS

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fuzzy SETS AND SYSTEMS 1992年第2期48卷 155-172页

作者： ESOGBUE, AO THEOLOGIDU, M GUO, KJ School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta GA 30332 USA

We first survey the application of fuzzy sets theory to various problems occurring in water resources systems. The problem of optimal flood control planning by an appropriate integration of structural and non-structural measures with the objective of optimizing the flood damage reduction due to recurrent floods is modeled via fuzzy sets methodologies. A two level optimization model appropriate for planning decisions first on a regional or local level and then on a national level is proposed. A third phase involving coordination is appended. In particular, a fuzzy optimization model involving an adroit combination of fuzzy dynamic programming-type reasoning and a branch and bound-type search procedure is offered as a more utilitarian approach than its crisp equivalent. The performance of the algorithm is illustrated with an example.

关键词： fuzzy SETS MODELING fuzzy dynamic programming BRANCH AND BOUND ALGORITHMS FLOOD CONTROL WATER RESOURCES SYSTEMS PLANNING

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fuzzy EXPECTATION VALUES IN MULTISTAGE OPTIMIZATION PROBLEMS

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fuzzy SETS AND SYSTEMS 1981年第2期6卷 161-167页

作者： VIRA, J Technical Research Centre of Finland Nuclear Engineering Laboratory Helsinki Finland

The study demonstrates the use of fuzzy expectation values in problems of multistage optimization under uncertainty. A practicable procedure is presented for the case where the optimization objective can be decomposed into a series of single-stage decision goals. Instead of probability theory, the uncertainty resolution is accomplished by fuzzy expectation values. In essence, then, the risk aversion is emboided in the selection of the fuzzy integration measure. If for example, the primary goal of the optimization is to achieve a strict cost minimum, then in the lack of information, a weaker goal can be introduced that corresponds to balancing the anticipated costs to the risk of exceeding these in reality. In a number of common optimization problems the method proposed facilitates a rapid solution with clear information on the risk involved.

关键词： Optimization under uncertainty fuzzy dynamic programming fuzzy measure fuzzy expectation value Nuclear reactor strategies

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Multi-period risk management using fuzzy logic

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INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS 1996年第5期4卷 449-466页

作者： Rubinson, T TCR INC WESTONCT 06883

In this paper, we present a fuzzy dynamic programming procedure for long term risk management. This approach is designed to provide insights on trade-offs between potential risks and rewards, the dynamics of interacting economic factors, and the feasibility of corporate goals over a long term planning horizon. This approach is applicable to many long term planning problems involving selection from a number of alternatives, when the decision parameters are imprecise and absolute requirements and decision thresholds can not be specified. A few examples of problems of this type include: portfolio optimization, risk management, evaluation of securities, liquidity management, and asset/liability management (which is given particular emphasis in this paper). Our formulation provides a computationally efficient and natural representation of the decision trade-offs inherent in many long term money management problems. This, in turn, facilitates the exploration and analysis of many alternative investment strategies under many possible future scenarios.

关键词： portfolio optimization risk management fuzzy dynamic programming asset/liability management (ALM)

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An Interval Type-2 fuzzy dynamic Approach To Replacement of Server Equipment

An Interval Type-2 Fuzzy Dynamic Approach To Replacement of ...

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IEEE International Conference on fuzzy Systems (FUZZ-IEEE)

作者： Cakir, Esra Ulukan, Ziya Galatasaray Univ Dept Ind Engn Istanbul Turkey

ISBN: (纸本)9781728169323

Equipment replacement decision which aims to find the best time to retire an old system is a key element in the planning process. Replacement scenarios consider the life span associated to each equipment category and the replacement of the obsolete equipment by an equivalent during the remaining life span after its obsolescence. This multi-stage decision-making problem can be solved by dynamic programming, but technical features that change over the years, unpredictable economy and time can cause uncertainty in prices. By combining classical dynamic programming with fuzzy set theory, this model can be revised. The purpose of this paper is to develop an optimal equipment replacement policy using combined interval type-2 fuzzy set and dynamic programming for the first time. The proposed methodology is applied to server equipment replacement problem.

关键词： server equipment replacement fuzzy dynamic programming interval type-2 fuzzy sets replacement analysis

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MULTISTAGE CONTROL OF A fuzzy SYSTEM USING A GENETIC ALGORITHM

MULTISTAGE CONTROL OF A FUZZY SYSTEM USING A GENETIC ALGORIT...

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4th IEEE International Conference on fuzzy Systems/2nd International fuzzy Engineering Symposium (fuzzy-IEEE/IFES 95)

作者： KACPRZYK, J POLISH ACAD SCI SYST RES INSTPL-01447 WARSAWPOLAND

ISBN: (纸本)0780324625

We consider multistage control of a fuzzy system, given by a fuzzy state transition equation, under fuzzy constraints and fuzzy goals. First, we briefly survey previous basic solution methods of dynamic programming (Baldwin and Pilsworth, 1982) and branch-and-bound (Kacprzyk, 1979), which basically require some 'trickery', and are plagued by low numerical efficiency, and then sketch Kacprzyk's (1993a-e) approach based on possibilistic interpolative reasoning aimed at enhancing the numerical efficiency but requiring a solution of a simplified auxiliary problem, and then some 'read-justing' of the solution obtained. Then, we propose the use of a genetic algorithm. The real coding and specially defined operations of crossover, mutation, etc. are employed. The results obtained seem to be promising.

关键词： MULTISTAGE fuzzy CONTROL fuzzy dynamic SYSTEM fuzzy dynamic programming BRANCH-AND-BOUND INTERPOLATIVE REASONING GENETIC ALGORITHM

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