• Title/Summary/Keyword: 피크 전력

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A Maximum Power Demand Prediction Method by Average Filter Combination (평균필터 조합을 통한 최대수요전력 예측기법)

  • Yu, Chan-Jik;Kim, Jae-Sung;Roh, Kyung-Woo;Cho, Wan-Sup
    • The Journal of Bigdata
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    • v.5 no.1
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    • pp.227-239
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    • 2020
  • This paper introduces a method for predicting the maximum power demand despite communication errors in industrial sites. Due to the recent policy of de-nuclearization in Korea, the price of electricity is inevitable, and the amount of electricity used and maximum load management for the management of power demand are becoming important issues. Accordingly, it is important to predict and manage peak power. However, problems such as loss and modulation of measured power data occur at industrial sites due to noise generated by various facilities and sensors. It is difficult to predict the exact value when measured effective power data are lost. The study presents a model for predicting and correcting anomalies and missing values when measured effective power data are lost. The models used in this study are expected to be useful in predicting peak power demand in the event of communication errors at industrial sites.

Reducing the Peak-to-Average Power Ratio of MC-CDMA System Using Phase Offset (MC-CDMA 시스테메에서 위상 오프셋을 이용한 최대전력 대 평균전력 비의 감소 방안)

  • 김성필;김명진이재혁
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.63-66
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    • 1998
  • MC-CDMA(Multi-Carrier Code Division Multiple Access) 시스템에서 전송 신호의 피크 전력 대 평균 전력(Peak-to-Average Power: PAP)율을 낮추는 방안을 제시한다. 확산 코드에 의해 결정된 각 부 캐리어의 위상 오프셋은 전송 신호의 복소 포락선 형성에 영향을 주게 되어 전송 신호의 PAP 율을 결정하게 된다. 따라서 각 부 캐리어의 위상 오프셋을 적절히 조정함으로써 PAP율을 낮출수 있다. 본 논문에서는 PAP 율을 감소시키는 부 캐리어 위상 오프셋 코드의 한 예를 제시하며, 모의 실험을 통하여 전송신호의 크기 분포 특성과 PAP 율의 감소를 확인한다.

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Fuzzy Demand Control System (퍼지제어형 최대수요전력 관리시스템)

  • 안준식;조성원;윤상철;신성철;성기철;한홍석
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.10a
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    • pp.241-246
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    • 1997
  • 본 논문에서는 사용이 편리하여 산업 발전의 원동력이 되고 있는 전기에너지의 이용합리화의 수단의 하나인 디맨드 감시/제어 장치에 대한 퍼지제어의 적용에 대해 제안한다. 이 장치는 전력사용이 많은 300㎾이상의 수용가에 있어서 피크(Peak)시 전력이 계약전력을 초과하지 않도록 감시/제어하여 에너지 사용의 합리화 및 전기요금 절감효과를 도모할수 있는 에너지 기기의 개발에 기여할 수 있다. 본 연구에서는 효율적인 디맨드 감시/제어를 위해 지수평활법을 이용한 부하예측과 퍼지제어기를 제안하고자 한다.

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The Utilization of Energy Storage System(ESS) as Emergency Power Source for Nuclear Power Plant (원자력 발전소 비상전원으로써 ESS의 활용)

  • Lee, Woo-Rim;Chang, Choong-koo
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.641-642
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    • 2015
  • 에너지저장장치(Energy Storage System, ESS)는 생산된 전력을 전력계통에 저장했다가 전력이 가장 필요한 시기에 꺼내어 사용함으로써 에너지효율을 높이는 능동적인 기술이다. ESS는 풍력발전, 태양광발전 등 신재생에너지와 같은 분산전원 도입, 피크부하에 대응하기 위한 부하평준화, 전력품질개선 등 그 역할과 기능이 확대되고 있다. 본 논문에서는 후쿠시마 사고 이후 강조된 비상전원과 관련하여 원자력발전소 부지 내 비상전원으로써의 ESS 활용과 그 가능성에 대해서 기술하였다.

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A Case Study on Operation of Energy Management System Connected with Renewable Energy (신재생에너지 연계형 에너지관리장치의 운영 사례 연구)

  • Cho, Jai Young;Ra, In-Ho
    • Smart Media Journal
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    • v.7 no.2
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    • pp.71-77
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    • 2018
  • This paper proposes the components of the energy management system (EMS) for optimum operation of renewable energy and associated energy storage system (ESS), the functions to be considered in designing, the analysis of operational effects, and finally the reduction of electricity costs. To accomplish the objectives, a lithium-ion battery system and an energy management system have installed in a PV system, and it presents the results analyzed with operation data for a year. To increase the system operation efficiency, we propose the effect that EMS is used to replace the demand power at the peak time with the charge power at the light load time, which suggests the influence of contributing to the charge benefit and load leveling according to the ESS tariff.

Particle Swarm Optimization-Based Peak Shaving Scheme Using ESS for Reducing Electricity Tariff (전기요금 절감용 ESS를 활용한 Particle Swarm Optimization 기반 Peak Shaving 제어 방법)

  • Park, Myoung Woo;Kang, Moses;Yun, YongWoon;Hong, Seonri;BAE, KUK YEOL;Baek, Jongbok
    • Journal of IKEEE
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    • v.25 no.2
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    • pp.388-398
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    • 2021
  • This paper proposes a particle swarm optimization (PSO)-based peak shaving scheme using energy storage system (ESS) for electricity tariff reduction. The proposed scheme compares the actual load with the estimated load consumption, calculates the additional output power that the ESS needs to discharge additionally to reduce peak load, and adds the input. In addition, in order to compensate for the additional power, the process of allocating power to the determined point is performed, and an optimization that minimizes the average of the load expected at the active power allocations using PSO so that the allocated value does not affect the peak load. To investigated the performance of the proposed scheme, case study of small and large load prediction errors was conducted by reflecting actual load data and load prediction algorithm. As a result, when the proposed scheme is performed with the ESS charge and discharge control to reduce electricity tariff, even when the load prediction error is large, the peak load is successfully reduced, and the peak load reduction effect of 17.8% and electricity tariff reduction effect of 6.02% is shown.

Temperature Effects on the Industrial Electricity Usage (산업별 전력수요의 기온효과 분석)

  • Kim, In-Moo;Lee, Yong-Ju;Lee, Sungro;Kim, Daeyong
    • Environmental and Resource Economics Review
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    • v.25 no.2
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    • pp.141-178
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    • 2016
  • This paper, using AMR (Automatic Meter Reading) electricity data accurately measured in real time, analyses the characteristics and patterns of temperature effect on the industrial electricity usage. For this goal, the paper constructs and estimates a model which captures the properties of AMR time series including long-term trends, mid-term temperature effects, and short-term special day effects. Based on the estimated temperature response function and the temperature effect, we categorize the whole industry into two groups: one group with sharp temperature effect and the other with weak temperature effect. Furthermore, the industry group with sharp temperature effect is classified into a summer peak industry group and a winter peak industry group, based on the estimates of the temperature response function. These empirical results carry practical policy implications on the real time electricity demand management.

Building Indoor Temperature Control Using Control Horizon Method in Cooling Systems (냉방시스템 제어구간설정 방법을 이용한 건물 실내온도 제어)

  • Boo, Chang-Jin;Kim, Jeong-Hyuk;Kim, Ho-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.10
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    • pp.4902-4909
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    • 2012
  • In this paper, the TOU tariff's based building indoor temperature control algorithm in cooling systems is proposed using control horizon method. A control horizon switching method and linear programming algorithm is used for optimal control, and both TOU and peak tariffs are included to calculate the energy costs. Simulation results show that the reductions of energy cost and peak power can be obtained using proposed algorithms.

Visibility Enhancement of the Ultrasonic Signal Reflected from Adhesive Layers (접착층에서 반사된 초음파 신호의 가시도 개선)

  • Shin, Jin Seob;Lee, Jeong-Ihll
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.6
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    • pp.153-157
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    • 2008
  • Recently, electronic devices is produced by multilayer structure, therefore analysis for hidden layers is important nondestructive inspection. This paper presents visibility enhancement methods for the ultrasonic multiple echoes reflected from adhesive layer in the multilayers using digital signal processing. The reflected signals from the multilayers come out interval of the peaks in the power cepstrum. In the experiment, the adhesive layers of settled thickness using epoxy were formed. The reflected signals from the multilayer is detected by pulse-echo method and power cepstrum is processed for enhancement of visibility.

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Building Indoor Temperature Control Using PSO Algorithm (PSO 알고리즘을 이용한 건물 실내온도 제어)

  • Kim, Jeong-Hyuk;Kim, Ho-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.5
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    • pp.2536-2543
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    • 2013
  • In this paper, we proposed the modeling in one zone buildings and the energy efficient temperature control algorithm using particle swarm optimization (PSO). A control horizon switching method with PSO is used for optimal control, and the TOU tariff is included to calculate the energy costs. Simulation results show that the reductions of energy cost and peak power can be obtained using proposed algorithms.