This paper presents results of research and experience in the use of fuzzy set theory methodology for handling and overcoming various forms of uncertainty in the design and control of power systems and subsystems. Approaches to solving fundamental problems of constructing fuzzy estimates of uncertain ...
At present fuzzy logic control is receiving increasing emphasis in process control applications. The paper describes the application of fuzzy logic control in a power system that uses a 12-pulse bridge converter associated with superconductive magnetic energy storage (SMES) unit. The fuzzy control is...
This paper presents a new approach using fuzzy set theory for voltage and reactive power control of power systems. The purpose is to enhance voltage security of an electric power system. The violation bus voltage and the controlling variables are translated into fuzzy set notations to formulate the...
Fuzzy Portfolio Optimization of Onshore Wind Power Plants In this paper we apply fuzzy set theory to the portfolio optimization of power generation assets, using a semi-mean absolute deviation (SMAD) model as a be... R Madlener,B Glensk,V Weber - 《Fcn Working Papers》 被引量: 3发表: ...
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However, a number of empirical studies have shown that the Markowitz approach captures reality only to a very limited extent. In this paper, we propose fuzzy set theory as an alternative to the classical probabilistic approach. More specifically, we investigate the usefulness of a fuzzy portfolio ...
A branch-and-bound algorithm with fuzzy inference for a permutation flowshop scheduling problem In order to improve the performance of branch-and-bound algorithms this paper proposes a new dominance relation by which the search load could be reduced... J Cheng,H Kise,H Matsumoto - 《European ...
The design model is approximated by a set of Takagi-Sugeno (T-S) fuzzy models to account for nonlinearities and uncertainties. The proposed stabilizer is based on parallel distributed compensation (PDC). Sufficient design conditions are presented as linear matrix inequalities (LMIs). The design ...
In the paper, the customer satisfaction index for power system is measured based on the characteristics of the power supply service quality. For the uncertainty of assessment, interval type-2 fuzzy set (IT2FS) is applied to evaluate it. The model of improving the power customer satisfaction is...
Notice at the bottom of the merge menu, Power Query tells us how many matches are found. When we enable fuzzy matches, this goes from0 of 8to2 of 8. \n \n \n \n \n Click on the collapsedFuzzy matching optionsand more advanced settings will be revealed. These can help us match ...