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Journal articles on the topic 'Power system control'

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1

Augusto Arbugeri, Cesar, Neilor Colombo Dal Pont, Tiago Kommers Jappe, Samir Ahmad Mussa, and Telles Brunelli Lazzarin. "Control System for Multi-Inverter Parallel Operation in Uninterruptible Power Systems." Eletrônica de Potência 24, no. 1 (2018): 37–46. http://dx.doi.org/10.18618/rep.2019.1.0016.

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2

D, Dr Lakshmi, and Dr Zahira R. "Load Frequency Control in Deregulated Power System." International Journal of Research in Arts and Science 5, Special Issue (2019): 124–33. http://dx.doi.org/10.9756/bp2019.1002/11.

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3

ASANO, Akira, Tetsuya TAKATA, and Hideo NAKAMURA. "1A21 Integrated train control system : The new direction of train control system(Electrical-Power)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1A21–1_—_1A21–9_. http://dx.doi.org/10.1299/jsmestech.2015._1a21-1_.

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4

Oghenemine D, Henry, Fredrick Ilogho, and Oladipo Folorunso. "Hybrid Power Control System." IOSR Journal of Engineering 07, no. 07 (2017): 12–17. http://dx.doi.org/10.9790/3021-0707011217.

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5

Sekine, Y. "Heirarchical power system control." International Journal of Electrical Power & Energy Systems 7, no. 2 (1985): 75–80. http://dx.doi.org/10.1016/0142-0615(85)90012-2.

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6

Martire, G. S., and D. J. H. Nuttall. "Open systems and databases (power system control)." IEEE Transactions on Power Systems 8, no. 2 (1993): 434–40. http://dx.doi.org/10.1109/59.260843.

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7

Kosser, Nazia. "Load frequency control issues in multiarea power system: A Review." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1816–22. http://dx.doi.org/10.31142/ijtsrd11650.

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8

Li, Gang, and Fu-Yu Zhao. "ICONE19-43191 NUCLEAR REACTOR POWER CONTROL SYSTEM BASED ON FLEXIBILITYMODEL." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_73.

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9

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

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10

Wise, John A. "Display Systems for Electrical System Control Centers." Proceedings of the Human Factors Society Annual Meeting 30, no. 13 (1986): 1264–68. http://dx.doi.org/10.1177/154193128603001305.

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The Electric Power Research Institute (EPRI) sponsored a project that identified the display needs of power system control centers, evaluated currently available display systems, prepared a prototyped a display set, and wrote a handbook on the effective design of such systems. Project results are described, examples of currently used displays presented and analyzed. Improved and entirely new power system control center displays are presented along with the rationale for their design.
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11

Zhang, Xiang Jin, and Na Shen. "Pulse Power Supply Control System." Applied Mechanics and Materials 130-134 (October 2011): 2143–46. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2143.

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A novel pulse power supply charge and discharge automation control program is proposed. The program is based on optical encoder communication mode power supply switch trigger technology. According to the requirements of control system and through the analysis of high power charge and discharge characteristics of pulse power, the whole design for the control system (multiple channels) is completed.
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12

Heggo, A. A. "SCADA BASED POWER SYSTEM CONTROL." ERJ. Engineering Research Journal 22, no. 3 (1999): 13–23. http://dx.doi.org/10.21608/erjm.1999.72749.

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13

Day, L. R. "CPC revisited [power system control]." IEEE Computer Applications in Power 7, no. 4 (1994): 40–45. http://dx.doi.org/10.1109/67.318921.

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14

Dy-Liacco, T. E. "Enhancing power system security control." IEEE Computer Applications in Power 10, no. 3 (1997): 38–41. http://dx.doi.org/10.1109/67.595291.

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15

Schaffer, G. "User-Oriented Power System Control." IFAC Proceedings Volumes 20, no. 6 (1987): 151–56. http://dx.doi.org/10.1016/s1474-6670(17)59217-4.

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16

Taniguchi, Haruhito. "Dispersed Generation Power System Control." IEEJ Transactions on Power and Energy 121, no. 9 (2001): 1065–68. http://dx.doi.org/10.1541/ieejpes1990.121.9_1065.

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17

Veselý, Vojtech, Adrián Ilka, and Martin Ernek. "Decentralized Control of Power System." International Journal of Control, Automation and Systems 23, no. 5 (2025): 1356–65. https://doi.org/10.1007/s12555-024-0673-y.

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18

Azrul, Mohd. "Frequency Regulation and Active Power Control in Wind-Diesel Based Hybrid Power System Using BESS." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 276–83. http://dx.doi.org/10.31142/ijtsrd18467.

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19

Matsuda, S., H. Ogi, K. Nishimura, Y. Okataku, and S. Tamura. "Power system voltage control by distributed expert systems." IEEE Transactions on Industrial Electronics 37, no. 3 (1990): 236–40. http://dx.doi.org/10.1109/41.55163.

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20

Van De, Pham. "OPTIMIZED CONTROL OF THE PHYSICAL BATTERY SYSTEM." AUSTENIT 15, no. 1 (2023): 21–30. http://dx.doi.org/10.53893/austenit.v15i1.6303.

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Today, a significant issue for many nations worldwide is a shortage of energy. Renewable energy sources, particularly solar energy, are being investigated as additional energy sources to address the aforementioned issue. The high investment cost and poor performance of solar energy, however, provide the biggest challenge. This study only addresses the power optimization problem. It is suggested that the method used to determine the solar system's maximum power point modify incremental conductance. Adapted Incremental Conductance algorithm based on Incremental Conductance conventional techniques. The Modified Incremental Conductance method, however, has several exceptional advantages since it has a voltage change (V) that is not constant but fluctuates in an ideal manner to achieve the maximum power point as soon as possible. The voltage V is greater away from the peak power point while it is zero at the peak power point. Modified incremental conductivity algorithm to find peak power point faster than traditional algorithms. With maximum power point change reducing ambient power loss at the highest powers point. This helps to optimize voltage difference value.
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21

Pham, Van De. "OPTIMIZED CONTROL OF THE PHYSICAL BATTERY SYSTEM." AUSTENIT 15, no. 1 (2023): 21–30. https://doi.org/10.5281/zenodo.7882161.

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Today, a significant issue for many nations worldwide is a shortage of energy. Renewable energy sources, particularly solar energy, are being investigated as additional energy sources to address the aforementioned issue. The high investment cost and poor performance of solar energy, however, provide the biggest challenge. This study only addresses the power optimization problem. It is suggested that the method used to determine the solar system's maximum power point modify incremental conductance. Adapted Incremental Conductance algorithm based on Incremental Conductance conventional techniques. The Modified Incremental Conductance method, however, has several exceptional advantages since it has a voltage change (V) that is not constant but fluctuates in an ideal manner to achieve the maximum power point as soon as possible. The voltage V is greater away from the peak power point while it is zero at the peak power point. Modified incremental conductivity algorithm to find peak power point faster than traditional algorithms. With maximum power point change reducing ambient power loss at the highest powers point. This helps to optimize voltage difference value.
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22

Dobarina, O. V., and K. V. Beglov. "AUTOMATIC POWER CONTROL SYSTEM OF NPP POWER UNIT." Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences 3, no. 1 (2019): 91–96. http://dx.doi.org/10.32838/2663-5941/2019.3-1/16.

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23

Qi, Zhiyuan, and Eerduntaokesu Lin. "Integrated power control for small wind power system." Journal of Power Sources 217 (November 2012): 322–28. http://dx.doi.org/10.1016/j.jpowsour.2012.06.039.

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24

Singh, Simranpreet. "Modelling and Control of STATCOM in Power System under Fault Conditions." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (2019): 141–46. http://dx.doi.org/10.31142/ijtsrd20314.

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25

Chang, C. S., H. B. Quek, and J. B. X. Devotta. "Power system excitation control using master-slave fuzzy power system stabilisers." Fuzzy Sets and Systems 102, no. 1 (1999): 85–94. http://dx.doi.org/10.1016/s0165-0114(98)00205-x.

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26

Kostenko, Ganna, and Artur Zaporozhets. "Enhancing of the power system resilience through the application of micro power systems (microgrid) with renewable distributed generation." System Research in Energy 2023, no. 3 (2023): 25–38. http://dx.doi.org/10.15407/srenergy2023.03.025.

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The power sector plays a critical role in the functioning of the economy and the security of a country, being closely interconnected with other vital infrastructures, such as gas supply, water supply, transportation, and telecommunications. Ensuring a stable power supply is crucial for the uninterrupted operation of these systems. One way to enhance the resilience of the power system is by integrating local networks with distributed renewable generation into the overall energy infrastructure. The flexibility, stability, controllability, and self-healing capabilities of microgrids make them an effective solution for improving the resilience of the power system. The power grid is susceptible to disturbances and disruptions that can cause large-scale power outages for consumers. Statistical data indicates that approximately 90% of outages occur due to issues in the distribution system, thus research focuses on local microgrids with distributed renewable generation. This study analyzed the role of microgrids with renewable generation in enhancing the resilience of power systems. Additionally, functions of microgrids that contribute to enhancing power system resilience, such as service restoration, network formation strategies, control and stability, as well as preventive measures, were summarized. It was found that local microgrids have significant potential to enhance power system resilience through the implementation of various strategies, from emergency response planning to providing reliable energy supply for quick responses to military, environmental, and human-induced crises. The concept of local distributed energy generation, storage, and control can reduce reliance on long-distance power transmission lines, reduce network vulnerabilities, and simultaneously improve its resilience and reduce recovery time. It has been determined that the most necessary and promising approaches to enhance the resilience of the power system include developing appropriate regulatory frameworks, implementing automatic frequency and power control systems, ensuring resource adequacy (including the reservation of technical components), promoting distributed generation, integrating energy storage systems into the energy grid, and strengthening cyber security. Keywords: resilience, local power systems, MicroGrid, distributed generation, renewable energy sources.
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27

Iskandar, Marzan Aziz, Akio Suzuki, Mitsuo Ishizeki, and Yoshibumi Mizutani. "Stabilizing Control of Power System Using Fuzzy Control." IEEJ Transactions on Power and Energy 112, no. 12 (1992): 1111–20. http://dx.doi.org/10.1541/ieejpes1990.112.12_1111.

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28

Leelajindakrairerk, Monthon, Yoshibumi Mizutani, Makoto Yamamura, and Yoichiro Kinoshita. "Power System Stabilizing Control Using New Fuzzy Control." IEEJ Transactions on Power and Energy 121, no. 3 (2001): 415–16. http://dx.doi.org/10.1541/ieejpes1990.121.3_415.

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29

Rao, P., M. L. Crow, and Z. Yang. "STATCOM control for power system voltage control applications." IEEE Transactions on Power Delivery 15, no. 4 (2000): 1311–17. http://dx.doi.org/10.1109/61.891520.

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30

Iskandar, Marzan Aziz, Yoshibumi Mizutani, Akio Suzuki, and Mitsuo Ishizeki. "Stabilizing control of power system using fuzzy control." Electrical Engineering in Japan 114, no. 3 (1994): 33–46. http://dx.doi.org/10.1002/eej.4391140304.

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31

Zhang, Chun Long, and Bin Wu. "Research on Power Management Control Strategy for Photovoltaic Power System." Applied Mechanics and Materials 513-517 (February 2014): 3438–41. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3438.

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A novel power management control strategy for photovoltaic power system is proposed. The solar cell array powers the steady state energy and the battery compensates the dynamic energy in the system. The goal of the power management control strategy is to control the un-directional DC-DC converter and bi-direction DC-DC converter to operate in suitable modes according to the condition of solar cell and battery, so as to coordinate the two sources of solar cell and battery supplying power and ensure the system operates with high efficiency and behaviors with good dynamic performance. A 500W experimental prototype of photovoltaic power system was built in the lab. Experimental results are shown to verify the effectiveness of the proposed power management strategy..
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32

Djagarov, Nikolay F., and Kiril V. Malikov. "An Adaptive Power System Stabilizer for Control of Multi-Machine Power Systems." IFAC Proceedings Volumes 36, no. 20 (2003): 577–82. http://dx.doi.org/10.1016/s1474-6670(17)34531-7.

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33

Veselý, Vojtech, and Thuan Quang. "Robust Power System Stabilizer VIA Networked Control System." Journal of Electrical Engineering 62, no. 5 (2011): 286–91. http://dx.doi.org/10.2478/v10187-011-0045-8.

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Robust Power System Stabilizer VIA Networked Control System The paper presents a novel power system stabilizer (PSS) design for a multivariable power system. The proposed design procedure is based on the linear matrix inequalities and stabilization of controlled system with time-varying time delay.
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34

Cui, Shigen, Hiroyuki Ukai, Hisashi Kando, Koichi Nakamura, and Hideki Fujita. "Decentralized Control of Large Power System by H ∞ Control Based Excitation Control System." IFAC Proceedings Volumes 32, no. 2 (1999): 7370–75. http://dx.doi.org/10.1016/s1474-6670(17)57257-2.

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35

Masuda, Fumio, and Masaaki Nomoto. "Open Distributed System for Power System Supervisory Control." IEEJ Transactions on Power and Energy 116, no. 1 (1996): 2–6. http://dx.doi.org/10.1541/ieejpes1990.116.1_2.

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36

Mokhtari, S., J. Sing, and B. Wollenberg. "A unit commitment expert system (power system control)." IEEE Transactions on Power Systems 3, no. 1 (1988): 272–77. http://dx.doi.org/10.1109/59.43211.

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37

Fazalyar, Wafiullah, and Murtaza Farsadi. "Control of Power Flow in Large-Scale PV Microgrid with Load Control and Energy Storage System." International Journal of Science and Research (IJSR) 10, no. 5 (2021): 253–60. https://doi.org/10.21275/sr21502122732.

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38

Mohammad, S., T. M. Guerra, B. Hecquet, and J. M. Grosbois. "Heart Rate/Cycling Power Control System." IFAC Proceedings Volumes 46, no. 2 (2013): 821–26. http://dx.doi.org/10.3182/20130204-3-fr-2033.00196.

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39

K. BILHAN, Ayse, and Caisheng WANG. "Control of Fuel Cell Power System." International Journal of Electronics, Mechanical and Mechatronics Engineering 6, no. 3 (2016): 1259–65. http://dx.doi.org/10.17932/iau.ijemme.m.21460604.2016.6/3.1259-1265.

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40

Habetler, T. G., and R. G. Harley. "Power electronic converter and system control." Proceedings of the IEEE 89, no. 6 (2001): 913–25. http://dx.doi.org/10.1109/5.931488.

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41

Bistrom, Johnny, and Kurt Lindstrom. "The Finnish Power System Control Centre." IEEE Power Engineering Review PER-6, no. 11 (1986): 28–29. http://dx.doi.org/10.1109/mper.1986.5527468.

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42

祝, 昌久. "A Control System for Mobile Power." Open Journal of Circuits and Systems 07, no. 01 (2018): 1–8. http://dx.doi.org/10.12677/ojcs.2018.71001.

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43

Huang, Yue Hua, Guang Xu Li, and Huan Huan Li. "Wind Power System Optimization Control Simulation." Applied Mechanics and Materials 313-314 (March 2013): 817–20. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.817.

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This paper establishes the wind power system simulation model in Simulink/ Matlab environment. By adjusting the speed of variable speed wind turbine, the simulation model can keep running at the best operation condition, and then achieve maximum power transfer. In this process, this paper use PI controller to track and control the speed of wind turbine. Simulation results show that selecting the appropriate PI parameters can effectively track the speed and increase the efficiency of wind power generation system.
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44

McLlwaine, S. A., C. E. Tindall, and W. McClay. "Frequency tracking for power system control." IEE Proceedings C Generation, Transmission and Distribution 133, no. 2 (1986): 95. http://dx.doi.org/10.1049/ip-c.1986.0017.

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45

Smith, R. L. "Control batteries: power system life savers." IEEE Industry Applications Magazine 1, no. 6 (1995): 18–25. http://dx.doi.org/10.1109/2943.469999.

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46

Viegas de Vasconcelos, A. "Concurrent Architectures for Power System Control." IFAC Proceedings Volumes 19, no. 6 (1986): 191–96. http://dx.doi.org/10.1016/s1474-6670(17)59746-3.

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47

Fardanesh, B. "Future trends in power system control." IEEE Computer Applications in Power 15, no. 3 (2002): 24–31. http://dx.doi.org/10.1109/mcap.2002.1018819.

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48

Lachs, W. R., and D. Sutanto. "A New Power System Control Philosophy." IFAC Proceedings Volumes 26, no. 2 (1993): 723–26. http://dx.doi.org/10.1016/s1474-6670(17)48564-8.

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49

Veselý, V., and D. Mudronc̆ík. "Power system non-linear adaptive control." Electric Power Systems Research 22, no. 3 (1991): 235–42. http://dx.doi.org/10.1016/0378-7796(91)90010-k.

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50

Rubaai, A., and A. A. El-Keib. "Hierarchical optimization for power system control." Electric Power Systems Research 30, no. 3 (1994): 235–40. http://dx.doi.org/10.1016/0378-7796(94)00861-2.

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