• Title/Summary/Keyword: Power load

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Characterization and uncertainty of uplift load-displacement behaviour of belled piers

  • Lu, Xian-long;Qian, Zeng-zhen;Zheng, Wei-feng;Yang, Wen-zhi
    • Geomechanics and Engineering
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    • v.11 no.2
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    • pp.211-234
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    • 2016
  • A total of 99 full-scale field load tests at 22 sites were compiled for this study to elucidate several issues related to the load-displacement behaviour of belled piers under axial uplift loading, including (1) interpretation criteria to define various elastic, inelastic, and "failure" states for each load test from the load-displacement curve; (2) generalized correlations among these states and determinations to the predicted ultimate uplift resistances; (3) uncertainty in the resistance model factor statistics required for reliability-based ultimate limit state (ULS) design; (4) uncertainty associated with the normalized load-displacement curves and the resulting model factor statistics required for reliability-based serviceability limit state (SLS) design; and (5) variations of the combined ULS and SLS model factor statistics for reliability-based limit state designs. The approaches discussed in this study are practical and grounded realistically on the load tests of belled piers with minimal assumptions. The results on the characterization and uncertainty of uplift load-displacement behaviour of belled piers could be served as to extend the early contributions for reliability-based ULS and SLS designs.

Effect of Load Modeling on Low Frequency Current Ripple in Fuel Cell Generation Systems

  • Kim, Jong-Soo;Choe, Gyu-Yeong;Kang, Hyun-Soo;Lee, Byoung-Kuk
    • Journal of Electrical Engineering and Technology
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    • v.5 no.2
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    • pp.307-318
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    • 2010
  • In this work, an accurate analysis of low frequency current ripple in residential fuel cell power generation systems is performed based on the proposed residential load model and its unique operation algorithm. Rather than using a constant dc voltage source, a proton exchange membrane fuel cell (PEMFC) model is implemented in this research so that a system-level analysis considering the fuel cell stack, power conditioning system (PCS), and the actual load is possible. Using the attained results, a comparative study regarding the discrepancies of low frequency current ripple between a simple resistor load and a realistic residential load is performed. The data indicate that the low frequency current ripple of the proposed residential load model is increased by more than a factor of two when compared to the low frequency current ripple of a simple resistor load under identical conditions. Theoretical analysis, simulation data, and experimental results are provided, along with a model of the load usage pattern of low frequency current ripples.

A Study on Peak Load Prediction Using TCN Deep Learning Model (TCN 딥러닝 모델을 이용한 최대전력 예측에 관한 연구)

  • Lee Jung Il
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.6
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    • pp.251-258
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    • 2023
  • It is necessary to predict peak load accurately in order to supply electric power and operate the power system stably. Especially, it is more important to predict peak load accurately in winter and summer because peak load is higher than other seasons. If peak load is predicted to be higher than actual peak load, the start-up costs of power plants would increase. It causes economic loss to the company. On the other hand, if the peak load is predicted to be lower than the actual peak load, blackout may occur due to a lack of power plants capable of generating electricity. Economic losses and blackouts can be prevented by minimizing the prediction error of the peak load. In this paper, the latest deep learning model such as TCN is used to minimize the prediction error of peak load. Even if the same deep learning model is used, there is a difference in performance depending on the hyper-parameters. So, I propose methods for optimizing hyper-parameters of TCN for predicting the peak load. Data from 2006 to 2021 were input into the model and trained, and prediction error was tested using data in 2022. It was confirmed that the performance of the deep learning model optimized by the methods proposed in this study is superior to other deep learning models.

Load Insensitivity Analysis of Balanced Power Amplifier for W-CDMA Handset Applications (W-CDMA 단말기용 Balanced 전력증폭기의 Load Insensitivity 분석)

  • Kim, Un-Ha;Kang, Sung-Yoon;Cheon, Clifford D.Y.;Kwon, Young-Woo;Kim, Jung-Hyun
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.1
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    • pp.68-75
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    • 2012
  • The load-insensitivity of the balanced power amplifier(PA) for W-CDMA handset applications is analyzed. The load impedances of the two parallel amplifiers in the balanced PA depending on the output load mismatch are mathematically calculated and with the result, the phase of reflection coefficient at which the linear output power is severely degraded is investigated. From the analysis, we proposed that the linearity of the balanced PA at the phase can be improved by properly increasing the transistor size and thus, multiple balanced PA's with different transistor size are designed and simulated. The simulation result showed that the balanced PA with larger transistor size has improved linear output power under VSWR=4:1.

New active power filter with low DC voltage for compensation of reactive power and harmonics of high power/voltage load (대용량 고전압 부하의 무효전력 및 고조파 보상을 위한 낮은 DC 전압을 갖는 새로운 능동 파워 필터)

  • 정구호;조규형
    • Proceedings of the KIPE Conference
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    • 1998.07a
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    • pp.291-294
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    • 1998
  • This paper presents a new active power filter with low DC voltage for compensating reactive power and harmonics of three-phase high power/voltage harmonic producing load. It has a structure of converter connected in series with power factor correction capacitor. Appropriate size and number of filter capacitor are determined by an equation and applied to simulation of 10kvar 6-pulse SCR rectifier.

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Test and Analysis of Voltage Drop according to Load Capacity in Traction Power Supply System (전기철도 일형식 부하 크기에 따른 전압강하 측정 및 분석)

  • Kim, Joo-Rak;Jang, Dong-Uk;Chang, Sang-Hoon;Lee, Young-Heum
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.940-947
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    • 2011
  • Load capacity varies according to a day of the week in traction power supply system, because time schedule in railway is changed as demand for passengers and freights. Therefore, Voltage drop also varies as load capacity. In Korea railway, Voltage collected from catenary in train is decreased, as load supplied traction power supply system is increased. Therefore, investigation about voltage drop should be performed, before development of countermeasure against voltage drop. The investigation can be performed by simulation or field test. Naturally, field test is more precise than simulation. In addition, field test should be carried out at peak load. This paper presents test and analysis about voltage drop in railway. The test is performed in both a day of the week and weekend. The analysis is figured out comparison load capacity between two days and voltage drop across terminal.

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Economic Evaluation of ESS in Urban Railway Substation for Peak Load Shaving Based on Net Present Value

  • Park, Jong-young;Heo, Jae-Haeng;Shin, Seungkwon;Kim, Hyungchul
    • Journal of Electrical Engineering and Technology
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    • v.12 no.2
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    • pp.981-987
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    • 2017
  • In this paper, we estimate the economic benefits of Energy Storage Systems (ESSs) for peak load shaving in an urban railway substation using the annual cost. The annual investment cost of ESSs is estimated using Net Present Value (NPV) and compared with the cost reduction of electricity by the ESS. The optimal capacities of the battery and Power Converting System (PCS) are determined for peak load shaving. The optimal capacity of the ESS and the peak load shaving is determined to maximize the profit by the ESS. The proposed method was applied to real load data in an urban railway substation, and the results show that electric power costs can be reduced. Other aspects of the ESS, such as the lifetime and unit price of the battery, are also investigated economically.

A Design of Homopolar Generator System Considering Instability with Negative Characteristics Load (부성부하와의 발진을 고려한 단극발전기 시스템 설계)

  • Kim, In-Soo;Seong, Se-Jin
    • Proceedings of the KIPE Conference
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    • 2008.06a
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    • pp.449-451
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    • 2008
  • This paper studies the instability between homopolar generator and constant power load with negative impedance characteristics, provides the design method of homopolar generator system which overcomes the instability. In case of magnitude and phase of impedance of source and load mismatch, control instability of source can occur. For the safety of phase of load impedance, the gain of P, I controller with sufficient phase margin is applied through analysis on the simulation model of generator system, and the gain limit of load impedance is ensured by limitation of the gain margin of generator system. The stability of power system can be increased by considering and analyzing the impedance of source and load.

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A Study on the Avioded Generation Costs of Indepndent Power Producers Using Probabilistic Load Decrement Method (확률적 부하감소법을 이용한 민자발전소의 회피비용 계산 방법론 연구)

  • Park, Jong-Bae;Won, Jong-Ryul;Park, Young-Moon
    • Proceedings of the KIEE Conference
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    • 1999.07c
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    • pp.1340-1343
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    • 1999
  • This Paper Presents a new analytic load decrement method for the evaluation of avoided generation costs of independent power producers (IPPs), named as probabilistic load decrement method. Unlike conventional load decrement methods, the proposed method exactly consider the random outage characteristic of a generating unit, economic dispatch order, and the resulting loss of load probability. Therefore, we can Provide the exact generation avoided costs of an IPP by applying the developed method. In the case studies, we have shown the correctness and effectiveness of the method, and compared with conventional load decrement methods.

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