• Title/Summary/Keyword: meta power

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Symbiotic organisms search algorithm based solution to optimize both real power loss and voltage stability limit of an electrical energy system

  • Pagidi, Balachennaiah;Munagala, Suryakalavathi;Palukuru, Nagendra
    • Advances in Energy Research
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    • 제4권4호
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    • pp.255-274
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    • 2016
  • This paper presents a novel symbiotic organisms search (SOS) algorithm to optimize both real power loss (RPL) and voltage stability limit (VSL) of a transmission network by controlling the variables such as unified power flow controller (UPFC) location, UPFC series injected voltage magnitude and phase angle and transformer taps simultaneously. Mathematically, this issue can be formulated as nonlinear equality and inequality constrained multi objective, multi variable optimization problem with a fitness function integrating both RPL and VSL. The symbiotic organisms search (SOS) algorithm is a nature inspired optimization method based on the biological interactions between the organisms in ecosystem. The advantage of SOS algorithm is that it requires a few control parameters compared to other meta-heuristic algorithms. The proposed SOS algorithm is applied for solving optimum control variables for both single objective and multi-objective optimization problems and tested on New England 39 bus test system. In the single objective optimization problem only RPL minimization is considered. The simulation results of the proposed algorithm have been compared with the results of the algorithms like interior point successive linear programming (IPSLP) and bacteria foraging algorithm (BFA) reported in the literature. The comparison results confirm the efficacy and superiority of the proposed method in optimizing both single and multi objective problems.

Performance Comparison of GA, DE, PSO and SA Approaches in Enhancement of Total Transfer Capability using FACTS Devices

  • Chandrasekar, K.;Ramana, N.V.
    • Journal of Electrical Engineering and Technology
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    • 제7권4호
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    • pp.493-500
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    • 2012
  • In this paper the performance of meta-heuristics algorithms such as GA (Genetic Algorithm), DE (Differential Evolution), PSO (Particle Swarm Optimization) and SA (Simulated Annealing) for the problem of TTC enhancement using FACTS devices are compared. In addition to that in the assessment procedure of TTC two novel techniques are proposed. First the optimization algorithm which is used for TTC enhancement is simultaneously used for assessment of TTC. Second the power flow is done using Broyden - Shamanski method with Sherman - Morrison formula (BSS). The proposed approach is tested on WSCC 9 bus, IEEE 118 bus test systems and the results are compared with the conventional Repeated Power Flow (RPF) using Newton Raphson (NR) method which indicates that the proposed method provides better TTC enhancement and computational efficacy than the conventional procedure.

휴대용 멀티미디어 기기에서 메타데이터 활용을 강화한 파일 시스템 구조 (A File System Architecture for Enriched Metadata in Portable Multimedia Devices)

  • 윤현주
    • 대한임베디드공학회논문지
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    • 제2권1호
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    • pp.1-8
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    • 2007
  • In this paper, we developed a file system architecture for portable multimedia devices. To enhance user convenience, the information about the stored files should be easily retrieved and organized. We defined NMD (Networked MetaData), which can organize the files in networked fashion by attaching user-defined attributes and relation between files. The NMD is stored in flash memory to utilize its nonvolatile property and low-power consumption, while multimedia files are stored in hard disk, an inexpensive mass storage. The experimental implementation showed that this architecture was able to save about 10% power compared to the hard disk NMD-store.

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Secant Method for Economic Dispatch with Generator Constraints and Transmission Losses

  • Chandram, K.;Subrahmanyam, N.;Sydulu, M.
    • Journal of Electrical Engineering and Technology
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    • 제3권1호
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    • pp.52-59
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    • 2008
  • This paper describes the secant method for solving the economic dispatch (ED) problem with generator constraints and transmission losses. The ED problem is an important optimization problem in the economic operation of a power system. The proposed algorithm involves selection of minimum and maximum incremental costs (lambda values) and then the evaluation of optimal lambda at required power demand is done by secant method. The proposed algorithm has been tested on a power system having 6, 15, and 40 generating units. Studies have been made on the proposed method to solve the ED problem by taking 120 and 200 units with generator constraints. Simulation results of the proposed approach were compared in terms of solution quality, convergence characteristics, and computation efficiency with conventional methods such as lambda iterative method, heuristic methods such as genetic algorithm, and meta-heuristic methods like particle swarm optimization. It is observed from different case studies that the proposed method provides qualitative solutions with less computational time compared to various methods available in the literature.

Energy Forecasting Information System of Optimal Electricity Generation using Fuzzy-based RERNN with GPC

  • Elumalaivasan Poongavanam;Padmanathan Kasinathan;Karunanithi Kandasamy;S. P. Raja
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권10호
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    • pp.2701-2717
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    • 2023
  • In this paper, a hybrid fuzzy-based method is suggested for determining India's best system for power generation. This suggested approach was created using a fuzzy-based combination of the Giza Pyramids Construction (GPC) and Recalling-Enhanced Recurrent Neural Network (RERNN). GPC is a meta-heuristic algorithm that deals with solutions for many groups of problems, whereas RERNN has selective memory properties. The evaluation of the current load requirements and production profile information system is the main objective of the suggested method. The Central Electricity Authority database, the Indian National Load Dispatch Centre, regional load dispatching centers, and annual reports of India were some of the sources used to compile the data regarding profiles of electricity loads, capacity factors, power plant generation, and transmission limits. The RERNN approach makes advantage of the ability to analyze the ideal power generation from energy data, however the optimization of RERNN factor necessitates the employment of a GPC technique. The proposed method was tested using MATLAB, and the findings indicate that it is effective in terms of accuracy, feasibility, and computing efficiency. The suggested hybrid system outperformed conventional models, achieving the top result of 93% accuracy with a shorter computation time of 6814 seconds.

근사기법을 활용한 공진형 파력발전 부이의 발전량 추정 및 최적설계 (Power Estimation and Optimum Design of a Buoy for the Resonant Type Wave Energy Converter Using Approximation Scheme)

  • 고혁준;유원선;조일형
    • 한국해양공학회지
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    • 제27권1호
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    • pp.85-92
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    • 2013
  • This paper deals with the resonant type of a WEC (wave energy converter) and the determination method of its geometric parameters which were obtained to construct the robust and optimal structure, respectively. In detail, the optimization problem is formulated with the constraints composed of the response surfaces which stand for the resonance period(heave, pitch) and the meta center height of the buoy. Use of a signal-to-noise ratio calculated from normalized multi-objective results with the weight factor can help to select the robust design level. In order to get the sample data set, the motion responses of the power buoy were analyzed using the BEM (boundary element method)-based commercial code. Also, the optimization result is compared with a robust design for a feasibility study. Finally, the power efficiency of the WEC with the optimum design variables is estimated as the captured wave ratio resulting from absorbed power which mainly related to PTO (power take off) damping. It could be said that the resultant of the WEC design is the economical optimal design which satisfy the given constraints.

메탈 할라이드 방전관 내의 음향 공명을 감소시킨 전자식 안정기 설계 (Design of Electronic Ballast Reducing Acoustic Resonances Phenomina in Metal Halide Discharge Tube)

  • 김기정;박종연
    • 전력전자학회논문지
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    • 제4권5호
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    • pp.405-412
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    • 1999
  • 메탈 할라이드 방전 램프는 연색성이 좋고 수명이 길며, 점광원이기 때문에 조명제어가 용이한 장점이 있으나, 고압 방전 할 때 방전관애의 음향 공명 현상을 감소하기 위하여 MHD 램프용 전자식 안정기의 주요부를 첫째, 구형파를 얻기 위한 타려식 하프브리지 인버터와 둘째, 저주파인 구형파에 고주파를 첨가하기 위한 플라이백 컨버터로 실현하였다. 이와 같이 설계 제작된 전자식 안정기로 70W의 MHD 램프를 점등한 결과 음향 공명 현상인 광속의 흔들림이 없는 매우 양호한 조명이 되었다.

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포스트모더니즘과 간호의 이슈 (Postmodernism and the Issue of Nursing)

  • 공병혜
    • 대한간호학회지
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    • 제34권3호
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    • pp.389-399
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    • 2004
  • Purpose: The purpose of this study was to illustrate the main stream of postmodernism which has influenced theory and research in the nursing science, and then to consider the meaning and value of what the postmodern perspective has meant to nursing science in the 21st century. Method: Derrida and Foucaults philosophical thoughts that characterized postmodernism through the interpretation of their major literature was studied. Based on their philosophy, it was shownhow Derrida's idea could be applied in de constructing the core paradigm in modern nursing science. In terms of Foucault's post-structuralism, reinterpretation of the nursing science in relation to power/knowledge was completed. Result: Postmodernism created multiple and diverse paradigms of nursing theory as well as nursing research. This was accomplished by de constructing the modernism of nursing science which was based on the positivism and medical-cure centralism. Specifically, the post-structuralist perspective revealed issuesaround the relationship of power and knowledge, which dominated and produced modern nursing science. Contemporary nursing science accepts pluralism and needs no unitary meta-paradigm, which can reintegrate multiple and diverse paradigms. Conclusion: In considering the issue of nursing science in postmodernism, it can be summarized as follows: the postmodern thinking discovers and reveals diverse and potential nursing values which were veiled by the domination of western modem nursing science. These were motivated to create nursing knowledge by conversation in interpersonal relationships, which can contribute to practical utilities for the caring-healing situation.

Layout optimization for multi-platform offshore wind farm composed of spar-type floating wind turbines

  • Choi, E.H.;Cho, J.R.;Lim, O.K.
    • Wind and Structures
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    • 제20권6호
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    • pp.751-761
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    • 2015
  • A multi-platform offshore wind farm is receiving the worldwide attention for the sake of maximizing the wind power capacity and the dynamic stability at sea. But, its wind power efficiency is inherently affected by the interference of wake disturbed by the rotating blades, so its layout should be appropriately designed to minimize such wake interference. In this context, the purpose of this paper is to introduce a layout optimization for multi-platform offshore wind farm consisted of 2.5MW spar-type floating wind turbines. The layout is characterized by the arrangement type of wind turbines, the spacing between wind turbines and the orientation of wind farm to the wind direction, but the current study is concerned with the spacing for a square-type wind farm oriented with the specific angle. The design variable and the objective function are defined by the platform length and the total material volume of the wind farm. The maximum torque loss and overlapping section area are taken as the constraints, and their meta-models expressed in terms of the design variable are approximated using the existing experimental data and the geometry interpretation of wake flow.

Augmentation of Fractional-Order PI Controller with Nonlinear Error-Modulator for Enhancing Robustness of DC-DC Boost Converters

  • Saleem, Omer;Rizwan, Mohsin;Khizar, Ahmad;Ahmad, Muaaz
    • Journal of Power Electronics
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    • 제19권4호
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    • pp.835-845
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    • 2019
  • This paper presents a robust-optimal control strategy to improve the output-voltage error-tracking and control capability of a DC-DC boost converter. The proposed strategy employs an optimized Fractional-order Proportional-Integral (FoPI) controller that serves to eliminate oscillations, overshoots, undershoots and steady-state fluctuations. In order to significantly improve the error convergence-rate during a transient response, the FoPI controller is augmented with a pre-stage nonlinear error-modulator. The modulator combines the variations in the error and error-derivative via the signed-distance method. Then it feeds the aggregated-signal to a smooth sigmoidal control surface constituting an optimized hyperbolic secant function. The error-derivative is evaluated by measuring the output-capacitor current in order to compensate the hysteresis effect rendered by the parasitic impedances. The resulting modulated-signal is fed to the FoPI controller. The fixed controller parameters are meta-heuristically selected via a Particle-Swarm-Optimization (PSO) algorithm. The proposed control scheme exhibits rapid transits with improved damping in its response which aids in efficiently rejecting external disturbances such as load-transients and input-fluctuations. The superior robustness and time-optimality of the proposed control strategy is validated via experimental results.