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Journal articles on the topic 'POWER PLANT SYSTEM'

Author: Grafiati

Published: 11 September 2023

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1

KATAGIRI, Yukinori, Takuya YOSHIDA, and Tatsurou YASHIKI. "E208 AUTOMATIC CODE GENERATION SYSTEM FOR POWER PLANT DYNAMIC SIMULATORS(Power System-2)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.2 (2009): _2–401_—_2–406_. http://dx.doi.org/10.1299/jsmeicope.2009.2._2-401_.

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2

TANIGUCHI, Akihiro, Atsuhide SUZUKI, and Masataka FUKUDA. "Geothermal Power Plant System." Journal of the Society of Mechanical Engineers 112, no. 1085 (2009): 274–77. http://dx.doi.org/10.1299/jsmemag.112.1085_274.

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3

Vyas, Sanjay R., and Dr Ved Vyas Dwivedi. "Genetic Algorithm for Plant Generation Schedule in Electrical Power System." Paripex - Indian Journal Of Research 2, no. 1 (January 15, 2012): 52–53. http://dx.doi.org/10.15373/22501991/jan2013/19.

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4

Neuman, P., K. Máslo, B. Šulc, and A. Jarolímek. "Power System and Power Plant Dynamic Simulation." IFAC Proceedings Volumes 32, no. 2 (July 1999): 7294–99. http://dx.doi.org/10.1016/s1474-6670(17)57244-4.

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5

OSHIMA, Kanji, and Yohji UCHIYAMA. "E213 PLANT PERFORMANCE AND ECONOMIC STUDY ON OXY FUEL GAS TURBINE POWER PLANT UTILIZING NUCLEAR STEAM GENERATOR(Power System-3)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.2 (2009): _2–425_—_2–430_. http://dx.doi.org/10.1299/jsmeicope.2009.2._2-425_.

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6

ZAITSEV, SERGEY, and VALENTIN ТIKHENKO. "DIAGNOSIS OF POWER OIL IN PUMPING UNITS COOLING SYSTEMS OF POWER PLANT EQUIPMENT." Herald of Khmelnytskyi National University. Technical sciences 319, no. 2 (April 27, 2023): 113–19. http://dx.doi.org/10.31891/2307-5732-2023-319-1-113-119.

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The article presents the results of improving the methods for diagnosing the energy oil “Tp-30” of the pumping unit of the NPP equipment coolant circulation system. When studying the physicochemical and thermophysical properties of this oil, it was found that: the indicators “acid number”, “water content”, “content of mechanical impurities”, “content of the additive “Ionol”, “flash point”, “kinematic viscosity” correspond to the established standards. When determining the concentration of the additive “Ionol” in the sample of this oil: the method of adding the additive “Ionol” is used; in the obtained calculation formula, the values of the distribution coefficient for the additive “Ionol” in the system “turbine oil – additive “Ionol” – liquid extractant” are not used, which simplifies the study of the content of this additive in turbine oil. The water content in mineral turbine oil, determined by gas chromatography and coulometric titration with K. Fischer’s reagent, exceeds the water content in this oil, determined by thermal extraction. When studying the effect of liquid extraction temperature on additives “Ionol” (when determining its content in a given oil), it was found by gas chromatography that: the dependence of the distribution coefficients Ki on temperature t in the temperature range 15–75 0С can be expressed by the equation lnKi = А/(t+273) – B ; It is recommended to extract the Ionol additive from this oil at a temperature of (20 ± 2) °С or at a temperature of (65 ± 10) °С. When studying the effect of the chemical nature of the extractant on the ability to extract the “Ionol” additive from this oil, it was found that: ethanol, isopropanol, acetonitrile can be used as extractants of the “Ionol” additive, and the mixture “acetonitrile – water” cannot be recommended as such extractant. The results obtained can be used to improve the method of diagnosing mineral turbine oil “Tp-30” of the pumping unit of the coolant circulation system of the equipment of the second circuit of NPP with a pressurized water power reactor.

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Katono, Kenichi, and Yoshihiko Ishii. "ICONE23-1601 ANALYSIS STABILIZATION TECHNIQUE OF NUCLEAR POWER PLANT SIMULATION SYSTEM." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2015.23 (2015): _ICONE23–1—_ICONE23–1. http://dx.doi.org/10.1299/jsmeicone.2015.23._icone23-1_287.

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8

RAN, Peng, Songling WANG, and Shufang ZHANG. "E212 A MATRIX METHOD OF ANALYZING THE AUXILIARY THERMODYNAMIC SYSTEM OF PWR NUCLEAR POWER PLANT SECONDARY LOOPS(Power System-3)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.2 (2009): _2–421_—_2–424_. http://dx.doi.org/10.1299/jsmeicope.2009.2._2-421_.

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9

Chen, Xiaofeng, Guanlu Yang, Yajing Lv, and Zehong Huang. "Power Management System Based on Virtual Power Plant." IOP Conference Series: Earth and Environmental Science 356 (October 28, 2019): 012006. http://dx.doi.org/10.1088/1755-1315/356/1/012006.

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10

YOSHINAGA, Toshiaki, Takeshige SEKI, and Kimihiro IOKI. "CAE system in nuclear power plant." Journal of the Atomic Energy Society of Japan / Atomic Energy Society of Japan 29, no. 3 (1987): 175–83. http://dx.doi.org/10.3327/jaesj.29.175.

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11

SEKIAI, Takaaki, Toru KAWANO, and Masahiro MURAKAMI. "Plant Diagnosis System for Power Plants." Journal of the Society of Mechanical Engineers 118, no. 1163 (2015): 624–27. http://dx.doi.org/10.1299/jsmemag.118.1163_624.

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12

ISHIMOTO, Reji. "Power Plant System for Next Generation." Journal of the Society of Mechanical Engineers 94, no. 869 (1991): 325–28. http://dx.doi.org/10.1299/jsmemag.94.869_325.

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13

Sorabh Gupta, A., and C. P. C. Tewari. "Simulation Model for Coal Crushing System of a Typical Thermal Power Plant." International Journal of Engineering and Technology 1, no. 2 (2009): 156–64. http://dx.doi.org/10.7763/ijet.2009.v1.29.

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14

Abdul Kadir, Aida Fazliana, Hanisah Mupangat, Dalila Mat Said, and Zulhani Rasin. "REACTIVE POWER ANALYSIS AT SOLAR POWER PLANT." Jurnal Teknologi 83, no. 2 (February 2, 2021): 47–55. http://dx.doi.org/10.11113/jurnalteknologi.v83.15104.

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Reactive power is essential to control the power system's voltage stability as the reactive power is directly proportional to the voltage. Hence, every new solar photovoltaic (PV) plant installed in the grid system must comply with the grid code requirements to ensure that the electricity supply remains stable and reliable. As the more penetration of PV plants, the electrical system will face some challenges related to reactive power control and voltage support. Thus, many countries including Malaysia have updated their grid codes to permit a smooth interaction between these new plants with the grid system. The inverter of PV solar connected to grid system are required to supply rated power output (MW) at point of common coupling (PCC) between the limits of 0.85 power factor lagging, and 0.95 leading follow to the Malaysian Grid Code (MGC) requirement. Hence, this research aims to design a controller for the PV inverter in Matlab/Simulink that able to absorb and supply the reactive power. Then, the comparison will execute between the simulation results and the MGC requirement. However, due to power loss in the system, the PV inverter controller may not comply with the reactive power capability as the MGC requirement. Thus, the PV system need to integrate with the capacitor bank as a reactive power compensator.

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15

Ichikawa, Tatsumi, Kiyotaka Ueda, Tatsuo Sawada, Sakae Mutou, and Susumu Sumida. "BWR power plant simulation for power system dynamics analysis." IEEJ Transactions on Power and Energy 105, no. 1 (1985): 47–54. http://dx.doi.org/10.1541/ieejpes1972.105.47.

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16

雷, 振. "Application of Power System Stabilizer Test in Power Plant." Advances in Energy and Power Engineering 09, no. 05 (2021): 221–27. http://dx.doi.org/10.12677/aepe.2021.95024.

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17

Xie, Chuan Sheng, Peng Yuan Zhong, Chen Chen Zhao, and Cheng Ying Zhou. "Power System Probabilistic Production Simulation Including Efficiency Power Plant." Advanced Materials Research 981 (July 2014): 695–700. http://dx.doi.org/10.4028/www.scientific.net/amr.981.695.

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As a measure of demand-side management, efficiency power plant (EPP) can save energy and bring economic and environmental benefits to the power system, although the widely used EPP technology may have negative effect on both power system stability and operation costs. The concept of EPP and its related characteristics such as capacity, output curve, and cost were introduced, and a probabilistic production simulation model based on the equivalent energy function (EEF) method was established to analysis the impact and benefits of EPP. With a numerical example, a result is found that EPP can not only improve the reliability and load rate of power system, thus reducing the social costs of power outage, but also reduce the total production and operating costs of power system.

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18

Shi, Rui Jing, Xiao Chao Fan, Feng Ting Li, and Bo Wei. "Application of Power Communication System in Wind Power Plant." Advanced Materials Research 724-725 (August 2013): 655–58. http://dx.doi.org/10.4028/www.scientific.net/amr.724-725.655.

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The application of power communication system in the field of wind power mainly includes the overall system communication and local field communication. During the operation of wind farms, the total system requires that the electric power communication system should provide reliable rapid information channel, accuracy of transmission on a variety of digital business. This article will focus on the application of power communication system between the wind turbine and the booster station, which includes optical fiber communication, communication and leased public circuit, as well as the cable communication, wireless communication, microwave wireless communication. Finally, in the premise of various communications comparison, according to the actual situation of the wind power field, the network transmission rate and reliability should be considered to the requirements of power market.

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19

Ichikawa, Tatsumi. "Power Plant Dynamics Simulations Considering Interaction with Power System." IFAC Proceedings Volumes 30, no. 17 (August 1997): 595–600. http://dx.doi.org/10.1016/s1474-6670(17)46470-6.

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20

Melgarejo-Jara, Max, Omar Chamorro-Atalaya, Florcita Aldana-Trejo, Nestor Alvarado-Bravo, José Farfán-Aguilar, Erika Zevallos-Vera, and Evelyn Anicama-Navarrete. "Automated drainage system for thermoelectric power plant." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 3 (March 1, 2023): 1393. http://dx.doi.org/10.11591/ijeecs.v29.i3.pp1393-1401.

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<span lang="EN-US">The Chilca 2 thermoelectric power plant, located in the province of Lima, Peru, has an open cycle gas turbine and a combined cycle steam turbine, whose combined capacity is 112.8 MW (Mega Watts). This plant requires auxiliary equipment for its operation, which is why it consists of electrical systems, lubrication system, hydraulic ventilation, pumps, vacuum systems and drainage of condensate generated by the difference in temperature in the steam conductor. Said drainage system is inside a 5-meter-deep basement that, being exposed to the elements, is exposed to falling drops of water that are generated by the vapors that are released due to the difference in temperature, repeatedly flooding and exposing to hazards that affect the normal operation of the thermoelectric plant. The proposed solution is based on the philosophy of a feedback control system, which uses a programmable logic controller (PLC) Siemens 1214AC/DC/Relay programmable logic controller, which, through a frequency inverter, activates the drainage pumps; the frequency range at which the variator works is linked to a 4-position level sensor. The result shows that it was possible to activate the frequency variator in a controlled manner through frequencies of 10 Hz, 30 Hz </span><span lang="EN-US">and 60 Hz, in this way a sustained operation of the drainage system is guaranteed.</span>

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21

Bosak, Mykola, Oleksandr Hvozdetskyi, Bohdan Pitsyshyn, and Serhii Vdovychuk. "THE RESEARCH OF CIRCULATION WATER SUPPLY SYSTEM OF POWER UNIT OF THERMAL POWER PLANT WITH HELLER COOLING TOWER." Theory and Building Practice 2020, no. 2 (November 20, 2020): 1–9. http://dx.doi.org/10.23939/jtbp2020.02.001.

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Analytical hydraulic researches of the circulating water cooling system of the power unit of a thermal power plant with Heller cooling tower have been performed. Analytical studies were performed on the basis of experimental data obtained during the start-up tests of the circulating water cooling system of the “Hrazdan-5” power unit with a capacity of 300 MW. Studies of the circulating water cooling system were carried out at an electric power of the power unit of 200 - 299 MW, with a thermal load of 320 - 396 Gcal/hr. By circulating pumps (CP), water mixed with condensate is fed to the cooling tower, from where it is returned through the turbine for spraying by nozzles in the turbine steam condenser. An attempt to increase the water supply to the condenser by increasing the size of the nozzles did not give the expected results. The amount of the water supply to the circulating pumping station depends on the pressure loss in the circulating water cooling system. The highest pressure losses are in hydro turbines (HT), which are part of the circulating pumping station. Therefore, by adjusting the load of the hydro turbine, with a decrease in water pressure losses, you can increase the water supply by circulating pumps to the condenser. Experimental data and theoretical dependences were used to calculate the changed hydraulic characteristics of the circulating water cooling system. As a result of reducing the pressure losses in the section of the hydro turbine from 1.04 to 0.15 kgf/cm2, the dictating point for the pressure of circulating pumping station will be the turbine steam condenser. The thermal power plant cooling tower is designed to service two power units. Activation of the peak cooler sectors of the cooling tower gives a reduction of the cooled water temperature by 2-4 °С only with the spraying system.

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22

Liu, Zhaohui, Longtao Liao, Zhiqiang Wu, and Xiaohua Yang. "ICONE23-1137 THE SOFTWARE SAFETY ANALYSIS BASED ON SFTA FOR REACTOR POWER REGULATING SYSTEM IN NUCLEAR POWER PLANT." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2015.23 (2015): _ICONE23–1—_ICONE23–1. http://dx.doi.org/10.1299/jsmeicone.2015.23._icone23-1_76.

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23

SHIRAKAWA, Masakazu. "Multi-Objective Optimization System for a Thermal Power Plant Operation(Thermal Power Plant and Thermal-Hydraulics,Power and Energy System Symposium)." Transactions of the Japan Society of Mechanical Engineers Series B 75, no. 751 (2009): 471–73. http://dx.doi.org/10.1299/kikaib.75.751_471.

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24

NAGAYASU, Tastuto. "Green Thermal Power Plant : Flue Gas Cleaning System for Fossil Fuel Thermal Power Plant." Journal of the Society of Mechanical Engineers 113, no. 1102 (2010): 696–97. http://dx.doi.org/10.1299/jsmemag.113.1102_696.

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25

Kolesnikov, A. A., S. D. Kaliy, I. A. Radionov, and O. I. Yakimenko. "Synergetic Control System of Hybrid Power Plant." Mekhatronika, Avtomatizatsiya, Upravlenie 19, no. 10 (October 11, 2018): 627–32. http://dx.doi.org/10.17587/mau.19.627-632.

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The problem of control of a hybrid power plant of a car consisting of an internal combustion engine, a synchronous electric motor with permanent magnets and a synchronous generator is considered. The formation of the control effect is carried out taking into account the connection of the above objects with each other with the help of planetary transmission. The mathematical models of the three listed engines are nonlinear with several control channels. In addition, the principle of the hybrid power plant requires the simultaneous operation of these engines and, accordingly, the construction of the necessary interrelated control actions. To synthesize the laws of vector control of a hybrid power plant, the method of analytical construction of aggregated regulators (ADAR) is used. Within the framework of this method, it is possible to work with a complete nonlinear control object model. Unlike the traditional approach of constructing a separate stabilizing control for each control channel, this method uses co-control over all variables to transfer the object to the desired state. In this case,for a number of variants of control algorithms, the communication between the control channels is carried out not indirectly, through the control object, but directly formed in the regulator. In addition, the control law takes into account unknown external disturbances, which were compensated using the principle of integral adaptation. In this paper, one of the modes of operation of a hybrid power plant is shown during the acceleration of the car. First, only the electric motor works, as the car accelerates, the internal combustion engine is connected, and at high speeds only the internal combustion engine works. This mode of operation of the hybrid power plant allows using both engines in the most convenient range of angular speeds, which leads to an economical fuel consumption and a charge of the storage batteries. In addition, the second electric motor operates in the generator mode and transfers a part of the mechanical moment to recharge the batteries.

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26

Fang, Xiang, and Limin Wang. "Nuclear Power Plant Operator Auxiliary Robot System." IOP Conference Series: Materials Science and Engineering 768 (March 31, 2020): 022055. http://dx.doi.org/10.1088/1757-899x/768/2/022055.

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27

Bo, Torstein I., Andreas R. Dahl, Tor A. Johansen, Eirik Mathiesen, Michel R. Miyazaki, Eilif Pedersen, Roger Skjetne, Asgeir J. Sorensen, Laxminarayan Thorat, and Kevin K. Yum. "Marine Vessel and Power Plant System Simulator." IEEE Access 3 (2015): 2065–79. http://dx.doi.org/10.1109/access.2015.2496122.

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28

Pazos, R., and E. Lizarraga. "Power plant productivity and reliability information system." IEEE Computer Applications in Power 1, no. 2 (April 1988): 25–29. http://dx.doi.org/10.1109/67.909.

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29

Zhang, Guo-fan, Wei-yan Qi, Hai-ming Xiao, and Hai-long Su. "Finecoal Distributing Control System of Power Plant." IFAC Proceedings Volumes 31, no. 25 (September 1998): 195–98. http://dx.doi.org/10.1016/s1474-6670(17)36385-1.

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30

Aimar, Mathilde, Gilles Arnaud, and Michel Dumas. "A Nuclear Power Plant Distributed Control System." IFAC Proceedings Volumes 30, no. 18 (August 1997): 391–96. http://dx.doi.org/10.1016/s1474-6670(17)42433-5.

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31

Shankar, R., R. Williams, and M. Avioli. "An expert system for power plant NDE." NDT & E International 25, no. 1 (January 1992): 45. http://dx.doi.org/10.1016/0963-8695(92)90102-m.

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32

Adibi, M. M., G. Adsunski, R. Jenkins, and P. Gill. "Nuclear plant requirements during power system restoration." IEEE Transactions on Power Systems 10, no. 3 (1995): 1486–91. http://dx.doi.org/10.1109/59.466499.

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33

Luo, Xiao Ling, and Qi Dui Liang. "Supervisory Information System Application in Power Plant." Advanced Materials Research 712-715 (June 2013): 2644–47. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2644.

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With the advent of new technologies the development of SIS (supervisory information system) is expanding by leaps and bounds, and SIS function discussion gradually in-depth with a batch of large power plants are put into operation. The establishment of SIS can provide a lot of advantages in terms of control, data viewing and management. Along with the advantages, the correct selection of the proper scheme from wide variety of SIS designs and standards represents an important issue. For the reason the function of the SIS, network architecture and the design are discussed, according to application examples and some related SIS design standards and principles. In addition, the paper puts forwards SIS function development trend and gives a brief description of database according to the cases from power plants. The goal of the paper is to make power system flexible, reliable and minimize management cost. The paper provides some references for research and engineering application of a power plant SIS construction in future.

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34

Dar’enkov, A. B., D. A. Malyarov, A. S. Plekhov, and E. V. Kryukov. "Electromechanical System of Floating Wave Power Plant." Russian Engineering Research 43, no. 6 (June 2023): 651–59. http://dx.doi.org/10.3103/s1068798x23060060.

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35

JALAL, ABDULAZIZ, and AHMED ABDULWAHAB. "Design of Power System Stabilizer for AL-UMRA Power Plant." Journal of King Abdulaziz University-Engineering Sciences 12, no. 1 (1999): 17–29. http://dx.doi.org/10.4197/eng.12-1.2.

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36

Duan, Zheng Zhong. "Study on Loss Reduction of Power System Power Plant Transformer." Applied Mechanics and Materials 329 (June 2013): 248–51. http://dx.doi.org/10.4028/www.scientific.net/amm.329.248.

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With the rapid development of the grid, the grid line distribution and power plants, substations increasingly dense and intertwined. The continuous construction of the power grid operation mode, power supply and distribution network will inevitably lead to change. The interconnecting transformer to adjust the voltage guarantee for the protection of the safety of the grid system voltage quality at the same time reduces losses powered economy. Adjust the power generation in the state of research transformer work to achieve the feasibility of reducing the power loss.

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37

Winkelman, J. R., and J. V. Medanic. "Projective Control Design Procedures for Power Plant/Power System Control." IFAC Proceedings Volumes 20, no. 5 (July 1987): 95–100. http://dx.doi.org/10.1016/s1474-6670(17)55423-3.

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38

Raffray, A. R., L. El-Guebaly, S. Malang, I. Sviatoslavsky, M. S. Tillack, and X. Wang. "Advanced power core system for the ARIES-AT power plant." Fusion Engineering and Design 80, no. 1-4 (January 2006): 79–98. http://dx.doi.org/10.1016/j.fusengdes.2005.06.356.

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39

Raffray, A. R., L. El-Guebaly, S. Malang, I. Sviatoslavsky, M. S. Tillack, and X. Wang. "Advanced power core system for the ARIES-AT power plant." Fusion Engineering and Design 82, no. 2 (February 2007): 217–36. http://dx.doi.org/10.1016/j.fusengdes.2007.01.002.

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40

Chang, Ya Chin, Sung Ling Chen, Rung Fang Chang, and Chan Nan Lu. "Optimal Virtual Power Plant Dispatching Approach." Applied Mechanics and Materials 590 (June 2014): 511–15. http://dx.doi.org/10.4028/www.scientific.net/amm.590.511.

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As the integrator of energy resources (DERs), a virtual power plant (VPP) would be able to control the amount of the power access to the distribution transformers such that energy efficiency can be improved. Battery energy storage system (BESS) and demand response (DR) as DERs can entrust the VPP with certain controllability to regulate the power supply of the distribution system. This paper aims to maximize the benefit of the supplied powers over the 24 hours under VPP operation. Combining an iterative dynamic programming optimal BESS schedule approach and a PSO-based DR scheme optimization approach, an optimal VPP operational method is proposed to minimize the total electricity cost with respect to the power supply limit of the distribution transformers and the system security constraints, especially, within the peak load hours. With the TOU rate given each hour, test results had confirmed the validity of the proposed method with the obviously decreased power supply in each peak-load hours and the largely reduced electricity cost accordingly.

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41

Elmenfy, Tawfiq H. "Tuning of Power System Stabilizer (Unitrol D) in Benghazi North Power Plant." International Journal of Energy Optimization and Engineering 2, no. 2 (April 2013): 32–43. http://dx.doi.org/10.4018/ijeoe.2013040103.

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The use of power system stabilizers (PSSs) to damp power system swing mode of oscillations is of practical important. The authors purpose is to retune the power system stabilizer (PSS1A) parameters in Unitrol D produced by ABB– was installed in 1995 in Benghazi North Power Plants (BNPPs) at General Electricity Company of Libya (GECOL). Power systems are steadily growing with larger capacity, so the optimal values of the power system stabilizer (PSS1A) parameters should be retuned. A particle swarm optimization technique (PSO) is used to determine the parameters of the PSS off-line. The objective is to damp the local and inter-area modes of oscillations that occur following power system disturbances. The retuned power system stabilizer (PSS1A) can cope with large disturbance at different operating points and has an enhanced power system stability, The MATLAB package with SIMULINK is used for the design and simulations.

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42

Editorial Office, Journal of Energy. "The mathematical model of a wind power plant and a gas power plant." Journal of Energy - Energija 66, no. 1-4 (June 21, 2022): 69–86. http://dx.doi.org/10.37798/2017661-491.

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To enable conduction of quality research of power system dynamics using computer simulation software, appropriate mathematical and simulation models have to be developed. In the last two decades, an exponential increase of installed wind power capacity can be observed, while the gas power plant capacity and energy production has also seen an increase in the recent years. Consequently, their impact on power system dynamics is no longer negligible. Furthermore, the increased penetration of wind power has led to a lot of research concerning frequency support capabilities from wind power plants (WPPs). In this paper, after a brief theoretical introduction, simplified system frequency response (SFR) simulation models of a generic wind power plant and a gas power plant have been developed in MATLAB. These generic models have been integrated with existing SFR models of a steam and hydro unit. The model contains a representation of under-frequency load shedding (UFLS) and demand response, as well. Graphical user interface (GUI) has been developed to control this expanded model.

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43

Geng, Wang. "Research on High Reliability Power Supply Design Scheme of Nuclear Power Plant." E3S Web of Conferences 115 (2019): 02002. http://dx.doi.org/10.1051/e3sconf/201911502002.

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After the Fukushima nuclear accident, the reliability requirements for Nuclear Power Plant (NPP) safety systems have been further improved worldwide. Therefore, it is necessary to provide a safe, reliable and economical scheme of the power supply system to cope with the abnormal conditions. Based on the reliability of the power supply of the 3rd generations of NPPs and combined with the application of the defend in depth concept in the electrical system, this paper provides a brief introduction of the typical 3rd generation NPP electrical system in the following area: the configuration of the electrical power system, defence in depth principle of the power supply, the basic structure of electrical power system. On this basis, an optimal power supply scheme is proposed.

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44

Afgan, Naim, and Dejan Cvetinovic. "Wind power plant resilience." Thermal Science 14, no. 2 (2010): 533–40. http://dx.doi.org/10.2298/tsci1002533a.

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A wind energy system transforms the kinetic energy of wind into mechanical or electrical energy that can be harnessed for practical use. Mechanical energy is most commonly used for pumping water in rural or remote locations. Electrical energy is obtained by connecting wind turbine with the electricity generator. The performance of the wind power plant depends on the wind kinetic energy. It depends on the number of design parameter of the wind turbine. For the wind power plant the wind kinetic energy conversion depends on the average wind velocity, mechanical energy conversion into electricity, and electricity transmission. Resilience of the wind power plant is the capacity of the system to withstand changes of the following parameters: wind velocity, mechanical energy conversion into electricity, electricity transmission efficiency and electricity cost. Resilience index comprise following indicators: change in wind velocity, change in mechanical energy conversion efficiency, change in conversion factor, change in transmission efficiency, and change in electricity cost. The demonstration of the resilience index monitoring is presented by using following indicators, namely: average wind velocity, power production, efficiency of electricity production, and power-frequency change. In evaluation of the resilience index of wind power plants special attention is devoted to the determination of the resilience index for situation with priority given to individual indicators.

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ISHII, Yoshihiko, Atsushi FUSHIMI, Setsuo ARITA, and Hitoshi OCHI. "Plant Simulation System for Developing ABWR Automatic Power Regulator System." Journal of Nuclear Science and Technology 46, no. 1 (January 2009): 41–48. http://dx.doi.org/10.1080/18811248.2007.9711505.

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Djalal, Muhammad Ruswandi, Andareas Pangkung, Sonong Sonong, and Apollo Apollo. "Bat Intelligence For Tunning Power System Stabilizer At Barru Power Plant." JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 2, no. 1 (April 26, 2018): 16–20. http://dx.doi.org/10.21070/jeee-u.v2i2.1276.

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Changes in load on the power system suddenly, can cause dynamic disruption. This disturbance can not be responded well by the generator, so it can affect the system dynamic stability, such as the occurrence of oscillation speed and rotor angle. Conventional control of excitation and governor, also unable to repair the oscillations, so that additional controllers such as Power System Stabilizer (PSS) are required. In the use of PSS, there are several problems that often arise, namely the correct tuning of PSS parameters. In this research, we proposed a method of smart computing based on bat algorithm, for tuning PSS parameters. From the analysis results can be concluded, the performance performance of generator barru increased with the installation of Power System Stabilizer with optimal PSS parameter, with parameters respectively Kpss = 44.0828, T1 = 0.0284, T2 = 0.0146, T3 = 0.7818, T4 = 1.2816.

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Inoue, Toshio. "MW Response of Thermal Power Plant from Viewpoint of Power System." IEEJ Transactions on Power and Energy 124, no. 3 (2004): 343–46. http://dx.doi.org/10.1541/ieejpes.124.343.

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Gafurov, Tokhir, Julio Usaola, and Milan Prodanovic. "Modelling of concentrating solar power plant for power system reliability studies." IET Renewable Power Generation 9, no. 2 (March 2015): 120–30. http://dx.doi.org/10.1049/iet-rpg.2013.0377.

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Nishikawa, Y., T. Tezuka, H. Kita, and M. S. Kang. "Effect of a Photovoltaic Power Generation System on Power Plant Mix." IFAC Proceedings Volumes 22, no. 17 (October 1989): 325–30. http://dx.doi.org/10.1016/s1474-6670(17)52949-3.

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Rumpel, D. "Towards an Improved Coordination of Power Plant and Power System Control." IFAC Proceedings Volumes 21, no. 11 (September 1988): 1–8. http://dx.doi.org/10.1016/s1474-6670(17)53717-9.

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