• Title, Summary, Keyword: Power model

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Instruction-level Power Model for Asynchronous Processor, A8051 (비동기식 프로세서 A8051의 명령어 레벨 소비 전력 모델)

  • Lee, Je-Hoon
    • The Journal of the Korea Contents Association
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    • v.12 no.7
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    • pp.11-20
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    • 2012
  • This paper presents new instruction-level power model for an asynchronous processor, A8051. Even though the proposed model estimates power consumption as instruction level, this model reflects the behavioral features of asynchronous pipeline during the program is executed. Thus, it can effectively enhance the accuracy of power model for an asynchronous embedded processor without significant complexity of power model as well as the increase of simulation time. The proposed power model is based on the implementation of A8051 to reflect the characteristics of power consumption in A8051. The simulation results of the proposed model is compared with that of gate-level synthesized A8051. The proposed power model shows the accuracy of 94% and the simulation time for estimation the power consumption was reduced to 1,600 times.

State-Space Model Predictive Control Method for Core Power Control in Pressurized Water Reactor Nuclear Power Stations

  • Wang, Guoxu;Wu, Jie;Zeng, Bifan;Xu, Zhibin;Wu, Wanqiang;Ma, Xiaoqian
    • Nuclear Engineering and Technology
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    • v.49 no.1
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    • pp.134-140
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    • 2017
  • A well-performed core power control to track load changes is crucial in pressurized water reactor (PWR) nuclear power stations. It is challenging to keep the core power stable at the desired value within acceptable error bands for the safety demands of the PWR due to the sensitivity of nuclear reactors. In this paper, a state-space model predictive control (MPC) method was applied to the control of the core power. The model for core power control was based on mathematical models of the reactor core, the MPC model, and quadratic programming (QP). The mathematical models of the reactor core were based on neutron dynamic models, thermal hydraulic models, and reactivity models. The MPC model was presented in state-space model form, and QP was introduced for optimization solution under system constraints. Simulations of the proposed state-space MPC control system in PWR were designed for control performance analysis, and the simulation results manifest the effectiveness and the good performance of the proposed control method for core power control.

Developing Function Models of Back-to-Back PWM Converters for Simplified Simulation

  • Van, Tan Luong;Lee, Dong-Choon
    • Journal of Power Electronics
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    • v.11 no.1
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    • pp.51-58
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    • 2011
  • In this paper, a function model of back-to-back PWM converters, based on the switching function, is developed for simplified simulation of power electronic application systems. For the function model, the PWM power switches are represented by dependent power sources. By using the proposed function model, the computer memory and the run time required for the simulation of power circuits can be significantly reduced. It is shown that the simulation results generated from the function models are almost the same as the ones obtained by using the switching power device model.

Continuous Conditional Random Field Model for Predicting the Electrical Load of a Combined Cycle Power Plant

  • Ahn, Gilseung;Hur, Sun
    • Industrial Engineering and Management Systems
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    • v.15 no.2
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    • pp.148-155
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    • 2016
  • Existing power plants may consume significant amounts of fuel and require high operating costs, partly because of poor electrical power output estimates. This paper suggests a continuous conditional random field (C-CRF) model to predict more precisely the full-load electrical power output of a base load operated combined cycle power plant. We introduce three feature functions to model association potential and one feature function to model interaction potential. Together, these functions compose the C-CRF model, and the model is transformed into a multivariate Gaussian distribution with which the operation parameters can be modeled more efficiently. The performance of our model in estimating power output was evaluated by means of a real dataset and our model outperformed existing methods. Moreover, our model can be used to estimate confidence intervals of the predicted output and calculate several probabilities.

The Forecasting Power Energy Demand by Applying Time Dependent Sensitivity between Temperature and Power Consumption (시간대별 기온과 전력 사용량의 민감도를 적용한 전력 에너지 수요 예측)

  • Kim, Jinho;Lee, Chang-Yong
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.42 no.1
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    • pp.129-136
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    • 2019
  • In this study, we proposed a model for forecasting power energy demand by investigating how outside temperature at a given time affected power consumption and. To this end, we analyzed the time series of power consumption in terms of the power spectrum and found the periodicities of one day and one week. With these periodicities, we investigated two time series of temperature and power consumption, and found, for a given hour, an approximate linear relation between temperature and power consumption. We adopted an exponential smoothing model to examine the effect of the linearity in forecasting the power demand. In particular, we adjusted the exponential smoothing model by using the variation of power consumption due to temperature change. In this way, the proposed model became a mixture of a time series model and a regression model. We demonstrated that the adjusted model outperformed the exponential smoothing model alone in terms of the mean relative percentage error and the root mean square error in the range of 3%~8% and 4kWh~27kWh, respectively. The results of this study can be used to the energy management system in terms of the effective control of the cross usage of the electric energy together with the outside temperature.

A Novel GPU Power Model for Accurate Smartphone Power Breakdown

  • Kim, Young Geun;Kim, Minyong;Kim, Jae Min;Sung, Minyoung;Chung, Sung Woo
    • ETRI Journal
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    • v.37 no.1
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    • pp.157-164
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    • 2015
  • As GPU power consumption in smartphones increases with more advanced graphic performance, it becomes essential to estimate GPU power consumption accurately. The conventional GPU power model assumes, simply, that a GPU consumes constant power when turned on; however, this is no longer true for recent smartphone GPUs. In this paper, we propose an accurate GPU power model for smartphones, considering newly adopted dynamic voltage and frequency scaling. For the proposed GPU power model, our evaluation results show that the error rate for system power estimation is as low as 2.9%, on average, and 4.6% in the worst case.

Development of Daily Peak Power Demand Forecasting Algorithm Considering of Characteristics of Day of Week (요일 특성을 고려한 일별 최대 전력 수요예측 알고리즘 개발)

  • Ji, Pyeong-Shik;Lim, Jae-Yoon
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.63 no.4
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    • pp.307-311
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    • 2014
  • Due to the increasing of power consumption, it is difficult to construct accurate prediction model for daily peak power demand. It is very important work to know power demand in next day for manager and control power system. In this research, we develop a daily peak power demand prediction method considering of characteristics of day of week. The proposed method is composed of liner model based on AR model and nonlinear model based on ELM to resolve the limitation of a single model. Using data sets between 2006 and 2010 in Korea, the proposed method has been intensively tested. As the prediction results, we confirm that the proposed method makes it possible to effective estimate daily peak power demand than conventional methods.

A Study of the Development of Power System Model for Performance Test of Transmission Line Protective Relay (송전선로 보호용 보호계전기 시험을 위한 계통모델 개발에 관한 연구)

  • Seo H. C.;Lee H. H.;Kim C. H.;Lee J. W.;Jang B. T.;Gwak N. H.;Kim H. P.;Kim l. D.
    • Proceedings of the KIEE Conference
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    • pp.430-432
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    • 2004
  • The standard power system model is needed to test a transmission line protective relay There are two methods to develop a power system model for transmission line protection. First method is based on characteristic power system model, and second method is based on functional power system model. This paper presents a standard power system model for performance test of transmission line protective relay, where the power system model is based on the two methods. And this model is simulated by using RTDS to test a protective relay.

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Development of a Stochastic Model for Wind Power Production (풍력단지의 발전량 추계적 모형 제안에 관한 연구)

  • Ryu, Jong-hyun;Choi, Dong Gu
    • Korean Management Science Review
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    • v.33 no.1
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    • pp.35-47
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    • 2016
  • Generation of electricity using wind power has received considerable attention worldwide in recent years mainly due to its minimal environmental impact. However, volatility of wind power production causes additional problems to provide reliable electricity to an electrical grid regarding power system operations, power system planning, and wind farm operations. Those problems require appropriate stochastic models for the electricity generation output of wind power. In this study, we review previous literatures for developing the stochastic model for the wind power generation, and propose a systematic procedure for developing a stochastic model. This procedure shows a way to build an ARIMA model of volatile wind power generation using historical data, and we suggest some important considerations. In addition, we apply this procedure into a case study for a wind farm in the Republic of Korea, Shinan wind farm, and shows that our proposed model is helpful for capturing the volatility of wind power generation.

Improved Side Channel Analysis Using Power Consumption Table (소비 전력 테이블 생성을 통한 부채널 분석의 성능 향상)

  • Ko, Gayeong;Jin, Sunghyun;Kim, Hanbit;Kim, HeeSeok;Hong, Seokhie
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.4
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    • pp.961-970
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    • 2017
  • The differential power analysis calculates the intermediate value related to sensitive information and substitute into the power model to obtain (hypothesized) power consumption. After analyzing the calculated power consumption and measuring power consumption, the secret information value can be obtained. Hamming weight and hamming distance models are most commonly used power consumption model, and the power consumption model is obtained through the modeling technique. If the power consumption model assumed by the actual equipment differs from the power consumption of the actual equipment, the side channel analysis performance is declined. In this paper, we propose a method that records measured power consumption and exploits as power consumption model. The proposed method uses the power consumption at the time when the information (plain text, cipher text, etc.) available in the encryption process. The proposed method does not need template in advance and uses the power consumption measured by the actual equipment, so it accurately reflects the power consumption model of the equipment.. Simulation and experiments show that by using our proposed method, side channel analysis is improved on the existing power modeling method.