• Fire Science and Engineering
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• v.20 no.4 s.64
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• pp.125-130
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• 2006

Pumped storage power plant is a system of generating electricity with hydroelectric power, in which at times of low electrical demand such as during nights, excess generation capacity of many power plants is used to pump water into the higher reservoir, and when there is higher demand, water is released back into the lower reservoir through a turbine, generating electricity. As pumped storage power plants across the nation are not on building registry under "the Article 6 of the Special Act by the Development of Power Resources", they are classified as a structure, not as a building. As a result, permit of fire protection facility is unnecessary, and fire protection administration is excluded from approval to completion of construction. Therefore, this study is to improve problems in accordance with the application of "he Article 6 of the Special Act by the Development of Power Resources", repair of facilities and problems with safety control to effectively prevent similar damages from repeatedly happening to pumped storage power plants in operation or under construction nationwide during a fire.

• Proceedings of the KIEE Conference
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• 2002.07b
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• pp.1018-1020
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• 2002

For the life extension of the aged pumped storage power plant, the static digital excitation system had been developed by KEPRI(Korea Electric Power Research Institute). This paper will discuss the control design conception of pumping mode and the application results of system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.133-142
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• 2023

The large process plant is currently implementing predictive maintenance technology to transition from the traditional Time-Based Maintenance (TBM) approach to the Condition-Based Maintenance (CBM) approach in order to improve equipment maintenance and productivity. The traditional techniques for predictive maintenance involved managing upper/lower thresholds (Set-Point) of equipment signals or identifying anomalies through control charts. Recently, with the development of techniques for big analysis, machine learning-based AAKR (Auto-Associative Kernel Regression) and deep learning-based VAE (Variation Auto-Encoder) techniques are being actively applied for predictive maintenance. However, this predictive maintenance techniques is only effective during steady-state operation of plant equipment, and it is difficult to apply them during start-up and shutdown periods when rises or falls. In addition, unlike processes such as nuclear and thermal power plants, which operate for hundreds of days after a single start-up, because the pumped power plant involves repeated start-ups and shutdowns 4-5 times a day, it is needed the prediction and alarm algorithm suitable for its characteristics. In this study, we aim to propose an approach to apply the optimal predictive alarm algorithm that is suitable for the characteristics of Pumped Storage Power Plant(PSPP) facilities to the system by analyzing the predictive maintenance techniques used in existing nuclear and coal power plants.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.956-957
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• 2006

KEPRI developed digital excitation system for San-Cheong pumped storage power plant. This is the very complicated system because of operation connected with SFC(Static Frequency Converter). Many operation modes(stating, regeneration, back to back, line charging, gird connection mode etc) during the commissioning were successfully tested at san-Cheong #2.

• JOURNAL OF ELECTRICAL WORLD
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• no.12 s.96
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• pp.34-39
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• 1984

• Korean Architects
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• s.524
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• pp.50-55
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• 2012

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.177-179
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• 2005

In Korean Power Market, Cost-based Bidding Pool is maintaining the present condition because restructuring of electricity industry is holding. When this market is designed, Settlement rules for Pumped-storage power plant made unfairly by other power plants. These rules were considered contribution of Pumped-storage power plant to network operation. by the way, there are some discussion about Settlement rules modification. so in this paper, we calculated financial effect of power plant by modified rules. And when we modify market rules, we can offer numerical information.

• Proceedings of the KIPE Conference
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• 2006.06a
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• pp.481-484
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• 2006

A electric power conversion system in a pumped storage power plant is important equipment for converting electric motor kinetic energy into electric power. A electric power conversion monitoring system consists of high voltage thyristor firing equipment, fault detection module, data gathering module, real time data processing equipment and man machine interface system. This paper describes electric power conversion system overview, the developed SFC monitoring system configuration including system characteristics, and successful application result to San-Cheong pumped storage power plant.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.8
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• pp.841-849
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• 1992

In power system operation, the stability of synchronous machine has been recognized one of the most important things. AESOPS program developed by EPRI in U.S.A. is a frequency domain analysis program in power system stability and it computes the electro-mechanical oscillation mode. This paper presents how to analyze the power system small signal stability problem efficiently by uusing the AESOPS program and analyze the various factors affecting the damping characteristics of these oscillations in KEPCO power system of 1986 with pumped-storage plant. To reduce the computing time and efforts, selecting the poorly-damped oscillation mode and clustering technique have been used. The characteristics of load, the amount of power flow on the transmission line and the gain of exciter have a significant effects on the damping of the system while the governing system has only a minor one. With the Power System Stabilizers, the stability of the power system has been improved.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2005.11a
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• pp.305-309
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• 2005