Relevant bibliographies by topics / Intelligent Load Shedding(ILS)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Intelligent Load Shedding(ILS)'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Intelligent Load Shedding(ILS)"

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Shokooh, Farrokh, J. J. Dai, Shervin Shokooh, Jacques Tastet, Hugo Castro, Tanuj Khandelwal, and Gary Donner. "Intelligent Load Shedding." IEEE Industry Applications Magazine 17, no. 2 (March 2011): 44–53. http://dx.doi.org/10.1109/mias.2010.939814.

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Lee, W. J., and J. C. Gu. "A microcomputer-based intelligent load shedding relay." IEEE Transactions on Power Delivery 4, no. 4 (1989): 2018–24. http://dx.doi.org/10.1109/61.35626.

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Lee, Wei-Jen, and Jyh-Cherng Gu. "A Microcomputer-Based Intelligent Load Shedding Relay." IEEE Power Engineering Review 9, no. 10 (1989): 44–45. http://dx.doi.org/10.1109/mper.1989.4310313.

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Wang, Ji Dong, Di Jin, Hui Ying Zhang, Hua Dong Sun, and Qing He. "The Existing Investigation and Prospect of Under-Frequency and Under-Voltage Load Shedding in Power Systems." Applied Mechanics and Materials 347-350 (August 2013): 1293–97. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1293.

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Under-frequency load shedding (UFLS) and under-voltage load shedding (UVLS) as the last defense of the power system to maintain its stability are of great significance, especially for the current development of large-scale interconnected power system. At first, this paper presents the existing methods of load shedding and analyses their drawbacks. Then, a brief overview of the application of wide area measurement system (WAMS) in UFLS and UVLS is provided. Finally, a novel intelligent load shedding scheme which realizes load adjustment instead of load shedding based on the characteristics of smart grid and smart home is proposed.
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Raza, Muhammad Qamar, Muhammad Ali, Nauman Tareen, Waheed ur Rehman, Asadullah Khan, and Azam Ul Asar. "Intelligent Load Shedding Using TCP/IP for Smart Grids." Energy and Power Engineering 04, no. 06 (2012): 398–403. http://dx.doi.org/10.4236/epe.2012.46053.

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Abd Shukor, Saiful Firdaus, Ismail Musirin, Zulkifli Abd Hamid, Mohamad Khairuzzaman Mohamad Zamani, Mohamed Zellagui, and Hadi Suyono. "Intelligent based technique for under voltage load shedding in power transmission systems." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (January 1, 2020): 110. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp110-117.

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<p>The increasing demand of electric power energy and the presence of disturbances can be identified as the factors of voltage instability condition in a power system. A secure and reliable power system should be considered to ensure smooth delivery of electricity to the consumers. A power system may experience undesired event such as voltage instability condition leading to voltage collapse or cascading collapse if the system experiences lack of reactive power support. Thus, to avoid blackout and cascaded tripping, load shedding is the last resort to prevent a total damage. Under Voltage Load Shedding (UVLS) scheme is one of the possible methods which can be conducted by thepower system operators to avoid the occurrence of voltage instability condition. This paper presents the intelligent based technique for under voltage load shedding in power transmission systems. In this study, a computational based technique is developed in solving problem related to UVLS. The integration between a known computational intelligence-based technique termed as Evolutionary Programming (EP) with the under-voltage load shedding algorithm has been able to maintain the system operated within the acceptable voltage limit. Loss and minimum voltage control as the objective function implemented on the IEEE 30-Bus Reliability Test System (RTS) managed to optimally identify the optimal location and sizing for the load shedding scheme. Results from the studies, clearly indicate the feasibility of EP for load shedding scheme in loss and minimum voltage control in power system.</p>
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HAIDAR, AHMED M. A., AZAH MOHAMED, MAJID AL-DABBAGH, AINI HUSSAIN, and MOHAMMAD MASOUM. "AN INTELLIGENT LOAD SHEDDING SCHEME USING NEURAL NETWORKS AND NEURO-FUZZY." International Journal of Neural Systems 19, no. 06 (December 2009): 473–79. http://dx.doi.org/10.1142/s0129065709002178.

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Load shedding is some of the essential requirement for maintaining security of modern power systems, particularly in competitive energy markets. This paper proposes an intelligent scheme for fast and accurate load shedding using neural networks for predicting the possible loss of load at the early stage and neuro-fuzzy for determining the amount of load shed in order to avoid a cascading outage. A large scale electrical power system has been considered to validate the performance of the proposed technique in determining the amount of load shed. The proposed techniques can provide tools for improving the reliability and continuity of power supply. This was confirmed by the results obtained in this research of which sample results are given in this paper.
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Jemai, Kamel, Hafedh Trabelsi, and Abdelaziz Ouederni. "Fuzzy load shedding strategy based on the anticipation of the point of voltage collapse." Journal of Intelligent & Fuzzy Systems 26, no. 4 (2014): 1845–56. http://dx.doi.org/10.3233/ifs-130864.

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Jouini, Houda, Kamel Jemai, and Souad Chebbi. "Voltage Stability Control of Electrical Network Using Intelligent Load Shedding Strategy Based on Fuzzy Logic." Mathematical Problems in Engineering 2010 (2010): 1–17. http://dx.doi.org/10.1155/2010/341257.

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As a perspective to ensure the power system stability and to avoid the vulnerability leading to the blackouts, several preventive and curative means are adopted. In order to avoid the voltage collapse, load shedding schemes represent a suitable action to maintain the power system service quality and to control its vulnerability. In this paper, we try to propose an intelligent load shedding strategy as a new approach based on fuzzy controllers. This strategy was founded on the calculation of generated power sensitivity degree related to those injected at different network buses. During the fault phase, fuzzy controller algorithms generate monitor vectors ensuring a precalculated load shedding ratio in the purpose to reestablish the power balance and conduct the network to a new steady state.
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Berec, Zoltan. "OPTIMIZACIJA AUTOMATSKOG PODFREKVENTNOG RASTEREĆENJA POTROŠAČA PRIMENOM GENETSKOG ALGORITMA." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, no. 09 (August 22, 2019): 1610–13. http://dx.doi.org/10.24867/04be27berec.

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U ovom radu predstaviće se rešenje optimizacije Automatskog podfrekventnog rasterećenja potro­šača (AFRP) primenom genetskog algoritma. Opisaće se realizacija AFRP-a ILS metodom (Intelllegent Load Shedding) koja se koriste za očuvanje stabilnosti kao krajnje opcije i kao rešenje je ponuđen Genetski algoritam kao metod optimizacije za pronalaženje adekvatne liste potrošača za isključenje.
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Dissertations / Theses on the topic "Intelligent Load Shedding(ILS)"

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Veda, Santosh Sambamoorthy. "WAMS-based Intelligent Load Shedding Scheme for Preventing Cascading Blackouts." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/19251.

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Severe disturbances in a large electrical interconnection cause a large mismatch in generation and load in the network, leading to frequency instability. If the mismatch is not rectified quickly, the system may disintegrate into multiple islands. Though the Automatic Generation Controls (AGC) perform well in correcting frequency deviation over a period of minutes, they are ineffective during a rolling blackout. While traditional Under Frequency Load Shedding Schemes (UFLS) perform quick control actions to arrest frequency decline in an islanded network, they are not designed to prevent unplanned islanding.

The proposed Intelligent Load Shedding algorithm combines the effectiveness of AGC Scheme by observing tie line flows and the speed of operation of the UFLS Scheme by shedding loads intelligently, to preserve system integrity in the event of an evolving cascading failure. The proposed scheme detects and estimates the size of an event by monitoring the tie lines of a control area using Wide Area Measurement Systems (WAMS) and initiates load shedding by removing loads whose locations are optimally determined by a sensitivity analysis. The amount and location of the load shedding depends on the location and size of the initiating event, making the proposed algorithm adaptive and selective. Case Studies have been presented to show that control actions of the proposed scheme can directly mitigate a cascading blackout.
Ph. D.
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Vadari, Subramanian V. "An intelligent load shedding approach to enhance the voltage stability of a power system /." Thesis, Connect to this title online; UW restricted, 1991. http://hdl.handle.net/1773/6094.

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Rostamirad, Shahrzad. "Intelligent load shedding scheme for frequency control in communities with local alternative generation and limited main grid support." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/36297.

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The number of microgrids in the electric power system is increasing rapidly to meet the increased electrical demand at the distribution level instead of delivering the additional power from centralized generation stations. Due to the above-mentioned transformation and a number of other factors, the utilities find themselves less attracted to investing in the supply lines. As a consequence, the connection points of these, rather self-supplied, microgrids become more vulnerable to any major disturbances in the downstream network. Because microgrids with renewable energy resources do not have a generation reserve, an intelligent load shedding algorithm (based on a smart grid) is proposed, that balances the power demand and generation, and prevents the upstream supply lines from exceeding their capacity at any time. Although the algorithm is accurate, it may not be fast enough to prevent a cascading power outage in the isolated microgrid due to very fast frequency decline. To help maintain the frequency of the microgrid close to the normal level, a supplementary controller is added to the doubly fed induction generator wind turbine. The studied microgrid corresponds to a case study in the University of British Columbia (UBC). A scenario of demand and distributed generation of the campus in the year 2030 are modeled. The proposed algorithm, which combines intelligent load shedding with wind turbine controller, succeeds in managing the power requirements for both grid connected and isolated microgrids. However, the algorithm has a weakness which is its operation delay; for longer delays in deactivating the controller and load shedding, the frequency might drop below the threshold. A number of suggestions are made to overcome this problem.
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Mazur, David Christopher. "An Electrical Mine Monitoring System Utilizing the IEC 61850 Standard." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/52239.

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Motor control assets are foundational elements in many industrial operations. In the mining industry, these assets primarily consist of motor control centers and drives, which are available with a comprehensive assortment of control and monitoring devices. Various intelligent electronic devices (IEDs) are now used to prevent machine damage and downtime. As motor control devices have advanced in technology, so too have the IEDs that protect them. These advances have resulted in new standards, such as IEC 61850, that have embedded intelligence and a standard set of communication schemes by which IEDs can share information in a peer-to-peer or one-to-many fashion. This dissertation investigated the steps involved in interfacing IEDs to a mining process control network via the use of the IEC 61850 standard. As a result of this study, several key technological advancements were made including the development of (i) vendor independent system to communicate with IEDs in a mining environment over IEC 61850, (ii) command and control methods for communication based assisted automation of IEDs for mining firms, (iii) effective solutions to incorporate electrical distribution data in the process control system, (iv) enhanced safety platforms through remote operation of IEDs, (v) standard visualization faceplate graphics for HMI operators with enhanced security, and (vi) new methods for time stamped dataflow to be correctly inserted into a process historian for 'true' Sequence of Events Records.
Ph. D.
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Book chapters on the topic "Intelligent Load Shedding(ILS)"

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Ali, Sarwan, Haris Mansoor, Imdadullah Khan, Naveed Arshad, Safiullah Faizullah, and Muhammad Asad Khan. "Fair Allocation Based Soft Load Shedding." In Advances in Intelligent Systems and Computing, 407–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55187-2_32.

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Phan, Thi Thanh Binh, Quoc Dung Phan, L. Tran, Q. Vo, T. Vu, H. Nguyen, and Trong Nghia Le. "Load Shedding in Islanded Microgrid with Uncertain Conditions." In Advances in Intelligent Systems and Computing, 243–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62324-1_21.

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Diván, Mario José, and María Laura Sánchez Reynoso. "A Load-Shedding Technique Based on the Measurement Project Definition." In Recent Trends in Intelligent Computing, Communication and Devices, 1027–33. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9406-5_122.

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Margaret, V., K. Uma Rao, and G. G. Ganeshprasad. "Intelligent Load Shedding Using Ant Colony Algorithm in Smart Grid Environment." In Lecture Notes in Electrical Engineering, 1149–62. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2119-7_112.

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Conference papers on the topic "Intelligent Load Shedding(ILS)"

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Budi, S. Irrine, Aziz Nurdiansyah, and Abraham Lomi. "Impact of load shedding on frequency and voltage system." In 2017 International Seminar on Intelligent Technology and its Applications (ISITIA). IEEE, 2017. http://dx.doi.org/10.1109/isitia.2017.8124064.

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Saini, Makmur, A. M. Shiddiq Yunus, and Muhammad Ruswandi Djalal. "Optimal PSS Design Using Particle Swarm Optimization Under Load Shedding Condition." In 2020 International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE, 2020. http://dx.doi.org/10.1109/isitia49792.2020.9163779.

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Sulistiawati, Irrine Budi, Aziz Nurdiansyah, Abraham Lomi, Ardyono Priyadi, and IBG Manuaba. "Analysis of the Frequency and Voltage Changes While Load Shedding in the Multimachine System." In 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE, 2018. http://dx.doi.org/10.1109/isitia.2018.8710965.

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Rajan, Siddharth, Guenther Strunk, Payal Gupta, Srikar Malladi, and Prasanna Muralimanohar. "Implementing an Intelligent Steam and Electrical Load-Shedding System for a Large Paper Mill: Design and Validation Using Dynamic Simulations." In 2019 IEEE IAS Pulp, Paper and Forest Industries Conference (PPFIC). IEEE, 2019. http://dx.doi.org/10.1109/ppfic43189.2019.9052378.

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Xie, Jing, Chen-Ching Liu, and Marino Sforna. "Agent-based distributed underfrequency load shedding." In 2017 19th International Conference on Intelligent System Application to Power Systems (ISAP). IEEE, 2017. http://dx.doi.org/10.1109/isap.2017.8071393.

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Calderaro, Vito, Vincenzo Galdi, Marcelo Cortes-Carmona, and Rodrigo Palma-Behnke. "Fuzzy load-shedding strategy in distribution systems." In 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2011. http://dx.doi.org/10.1109/isda.2011.6121675.

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Tofis, Yiannis, Lenos Hadjidemetriou, and Elias Kyriakides. "An intelligent load shedding mechanism for maintaining frequency stability." In 2013 IEEE Grenoble PowerTech. IEEE, 2013. http://dx.doi.org/10.1109/ptc.2013.6652296.

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Zare, Farzaneh, Alimohammad Ranjbar, and Faramarz Faghihi. "Intelligent topology-oriented load shedding scheme in power systems." In 2019 27th Iranian Conference on Electrical Engineering (ICEE). IEEE, 2019. http://dx.doi.org/10.1109/iraniancee.2019.8786519.

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Maiorano, A., R. Sbrizzai, F. Torelli, and M. Trovato. "Intelligent load shedding schemes for industrial customers with cogeneration facilities." In IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233). IEEE, 1999. http://dx.doi.org/10.1109/pesw.1999.747293.

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Chen, Guoyan, Yong Wang, Guojun Lu, Jin Hu, Dahai You, Feng Zhang, and Zhe He. "An improved load-shedding model based on power flow tracing." In 2016 12th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2016. http://dx.doi.org/10.1109/wcica.2016.7578552.

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Journal articles
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