• Title/Summary/Keyword: Electric Energy Management System

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A Correction Technique of Missing Load Data Based on ARIMA Model (ARIMA 모형에 기초한 수요실적자료 보정기법 개발)

  • 박종배;이찬주;이재용;신중린;이창호
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.7
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    • pp.405-413
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    • 2004
  • Traditionally, electrical power systems had the vertically-integrated industry structures based on the economics of scale. However power systems have been recently reformed to increase the energy efficiency of the power system. According to these trends, Korean power industry has been partially restructured, and the competitive generation market was opened in 2001. In competitive electric markets, correct demand data are one of the most important issue to maintain the flexible electric markets as well as the reliable power systems. However, the measuring load data can have the uncertainty because of mechanical trouble, communication jamming, and other things. To obtain the reliable load data, an efficient evaluation technique to adust the missing load data is needed. This paper analyzes the load pattern of historical real data and then the turned ARIMA (Autoregressive Integrated Moving Average) model, PCHIP(Piecewise Cubic Interporation) and Branch & Bound method are applied to seek the missing parameters. The proposed method is tested under a variety of conditions and tested with historical measured data from the Korea Energy Management Corporation (KEMCO).

Performence Characteristics and Analysis Effect of Maximum Power Saving Device in Metal Parts Heat Treatment Company (금속 부품 열처리업체의 최대전력절감장치 동작 특성 및 효과 분석)

  • Chang, Hong-Soon;Han, Young-Sub;Hwang, Ik-Hwan;Seo, Sang-Hyun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.6
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    • pp.40-44
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    • 2014
  • In this paper, maximum power is the lowering device using the facility's energy use and peak load electricity through analyzing attitude should like to make it reduce its power base rate. Simulator to manage the demand for power, a maximum electric power base power from electronic watt-hour meters by a device's signal, predictive power, the current power by computing the goal of power for less than Maximum peak power and peak shift, so that you can manage, and peak York, which role you want a cut Metal heat treatment result which analyzes the data, demand for electricity company over the years of analyzing the characteristics of each load, and effects and Reducing power consumption device every month identified seven Sequence control to the load system and successful power control is about showing that the defined goals.

Construction form and status analysis of intelligent type switching board of educational institution (교육기관 지능형 수배전반의 구성방식과 현황분석)

  • Choi, In-Ho
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2007.05a
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    • pp.393-396
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    • 2007
  • Recently one level higher intelligent switching board than established one by the application of intelligent building and digital system are being constructed. Therefore facility's high efficiency, high degree satisfaction, miniaturaization, standardization through application of communication technology and monitoring and controlling by computer system utilized by web-basis power control system and electric IT are practiced. Especially network must be constructed through unified IBS server that monitors every educational institute's switching boards in real time control system. And I intend to create methods to save energy and raise electricity quality by power demand prediction and remote-controled management and operation. In this thesis I intend to suggest measures of forming unified system through researching educational institute's ways of constructing switching board and status analysis and overcoming technical difficulties in user's side and saving and maintenance expense.

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On-line Optimal EMS Implementation for Distributed Power System

  • Choi, Wooin;Baek, Jong-Bok;Cho, Bo-Hyung
    • Proceedings of the KIPE Conference
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    • 2012.11a
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    • pp.33-34
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    • 2012
  • As the distributed power system with PV and ESS is highlighted to be one of the most prominent structure to replace the traditional electric power system, power flow scheduling is expected to bring better system efficiency. Optimal energy management system (EMS) where the power from PV and the grid is managed in time-domain using ESS needs an optimization process. In this paper, main optimization method is implemented using dynamic programming (DP). To overcome the drawback of DP in which ideal future information is required, prediction stage precedes every EMS execution. A simple auto-regressive moving-average (ARMA) forecasting followed by a PI-controller updates the prediction data. Assessment of the on-line optimal EMS scheme has been evaluated on several cases.

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The Study on Autonomous State Estimator for Smart Grid (스마트그리드를 위한 자율형 상태관측기 연구)

  • Park, Jong-Chan;Lee, Se-In
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.60 no.1
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    • pp.32-36
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    • 2011
  • In this study, authors have proposed the autonomous state estimation which has been composed with IEC61850, GPS time synchronization and objective model design concept. The proposed method is able to supervise/correct measurement and communication error from SCADA. The major advantages of the proposed autonomous state estimation are that it is possible to evaluate integrity of data measured and transferred from SCADA, to reduce human intervention and to expense national-size applications such as EMS (Energy Management System), WAMS (Wide Area Monitoring System) or WAPS (Wide Area Protection System). This study addresses the issues related to the operation of the smart grid and proposes a new automated approach to achieve this goal. Through applying the proposed system to IEEE 14-bus test electric system, we prove the possibility of the proposed idea.

Analysis of Factors Driving the Participation of Small Scale Renewable Power Providers in the Power Brokerage Market (소규모 재생발전사업자의 중개시장참여 촉진요인 분석)

  • Li, Dmitriy;Bae, Jeong Hwan
    • New & Renewable Energy
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    • v.18 no.3
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    • pp.32-42
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    • 2022
  • Rapid spread of intermittent renewable energy has amplified the instability and uncertainty of power systems. The Korea Power Exchange (KPX) promoted efficient management by opening the power brokerage market in 2019. By combining small-scale intermittent renewable energy with a flexible facility through the power brokerage market, the KPX aims to develop a virtual power plant system that will allow the conversion of existing intermittent renewable energy into collective power plants. However, the participation rate of renewable power owners in the power brokerage market is relatively low because other markets such as the small solar power contract market or the Korea Electric Power Corporation power purchase agreement are more profitable. In this study, we used a choice experiment to determine the attributes affecting the participation rate in the power brokerage market for 113 renewable power owners and estimate the value of the power brokerage market. According to the estimation results, a low smart meter installation cost, low profit variations, long contract periods, and few clearances increased the probability of participation. Moreover, the average value of the power brokerage market was estimated to be 2.63 million KRW per power owner.

Development of Monitering System for Remote Power Management Service (원격 전력관리 서비스를 위한 모니터링 시스템 개발)

  • Park, Ji-Saung;Jeon, Min-Ho;Lee, Myung-Eui
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.601-604
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    • 2012
  • Recently, there have been many attempts to monitor the equipment's condition or the input devices in sensors remotely by using cable and wireless communications. Also, the research and development on this matter has been actively carried on. In this paper, we developed the monitoring system which will eliminate the errors of manual reading by humans and therefore will secure reliability between tenants and the building management office. Through the system, the private telecommunication network can be connected between the building management office and the households. This enables the control office to remotely read the electric meter and exact energy consumption of each household even when the tenants are absent.

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Development of Customer Oriented Load Management Software for Savings on Utility Bills in the Electricity Market

  • Chung, Koo-Hyung;Lee, Chan-Joo;Kim, Jin-Ho;Hur, Don;Kim, Balho-H.;Park, Jong-Bae
    • Journal of Electrical Engineering and Technology
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    • v.2 no.1
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    • pp.42-49
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    • 2007
  • For electricity markets to function in a truly competitive and efficient manner, it is not enough to focus solely on improving the efficiencies of power supply. To recognize price-responsive load as a reliability resource, the customer must be provided with price signals and an instrument to respond to these signals, preferably automatically. This paper attempts to develop the Windows-based load management system in competitive electricity markets, allowing the user to monitor the current energy consumption or billing information, to analyze the historical data, and to implement the consumption strategy for cost savings with nine possible scenarios adopted. Finally, this modeling framework will serve as a template containing the basic concepts that any load management system should address.

A Study on Development of BMS module Algorithm for Bluetooth-based Lithium-Iron Phosphate Battery pack (블루투스 기반 리튬인산철 배터리팩을 위한 BMS 모듈 알고리즘 개발에 관한 연구)

  • Kim, Jong-Min;Ryu, Gab-Sang
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.1-8
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    • 2021
  • Currently, lithium-ion batteries are mainly used in energy storage equipment products including automobiles. This can be exposed to dangerous situations such as explosions in the event of incorrect battery management conditions that are overcharged or left in high temperature conditions. It also causes a situation battery cannot be used when it has been over discharged. Therefore, a system that manages the state of the battery is required. The battery management system aims to obtain optimum battery efficiency by accurately recognizing the state of the battery and keeping the voltage of each cell constant. In this paper, we develop a lithium-iron phosphate battery that has higher safety than a general lithium-ion battery. Then, in order to manage this, we try to develop the algorithm of the BMS module based on the Bluetooth communication using the MATLAB-SIMULINK.

A Study on the Development of Long-term Self Powered Underground Pipeline Remote Monitoring System (자가 발전형 장기 지하매설배관 원격감시 장치 개발에 관한 연구)

  • Kim, Youngsear;Chae, Hyun-Byung;Seo, Jae-Soon;Chae, Soo-Kwon
    • Journal of the Korean Society for Environmental Technology
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    • v.19 no.6
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    • pp.576-585
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    • 2018
  • Systematic management during the whole life cycle from construction to operation and maintenance is very important for the seven underground pipelines (waterworks, sewerage, electricity, telecommunications, gas, heating, oil including waterworks and sewerage). Especially, it is the construction process that affects the whole life cycle of underground buried pipeline. In order to construct a new city or to maintain different underground pipes, it is always necessary to dig the ground and carry out construction and related work. There is a possibility that secondary and tertiary breaks frequently occur in the pipeline construction process after the piping constructed first in this process. To solve this problem, a system is needed which can monitor damage in real time. However, the supply of electric power for continuous operation of the system is limited according to the environment of underground buried pipelines, so it is necessary to develop a stable electric power supply system using natural energy rather than existing electric power. In this study, we developed a system that can operate the pipeline monitoring system for long time (24 hours and 15 days) using natural energy using wind and solar light.