Academic literature on the topic 'Optimization of reactive power'
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Journal articles on the topic "Optimization of reactive power"
Liu, Bin, Ren Hui Kong, and Xiao Bing Xiao. "Reactive Power Optimization in District Power System." Advanced Materials Research 805-806 (September 2013): 751–55. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.751.
Full textZhang, Xiao Hong, Han Zhang, and Jian Zhang. "Reactive Power Optimization in Regional Power Grid." Applied Mechanics and Materials 380-384 (August 2013): 3254–57. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3254.
Full textZhao, Wen Qing, Li Wei Wang, Fei Fei Han, and De Wen Wang. "Reactive Power Optimization in Power System Based on Adaptive Particle Swarm Optimization." Advanced Materials Research 846-847 (November 2013): 1209–12. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1209.
Full textLi, Yan Hong, and Zhi Rong Zhang. "Application of Reactive Power Optimization in Power Grid in AVC." Advanced Materials Research 971-973 (June 2014): 979–82. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.979.
Full textEthmane, I. A., M. Maaroufi, A. K. Mahmoud, and A. Yahfdhou. "Optimization for Electric Power Load Forecast." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (October 1, 2018): 3453. http://dx.doi.org/10.11591/ijece.v8i5.pp3453-3462.
Full textSu, Ai Ning, Hui Qiong Deng, and Tian Wei Xing. "Power System Reactive Power Optimization Based on Improved Genetic Agorithm." Advanced Materials Research 614-615 (December 2012): 1361–66. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1361.
Full textV. "Reactive Power Optimization Using Quantum Particle Swarm Optimization." Journal of Computer Science 8, no. 10 (October 1, 2012): 1644–48. http://dx.doi.org/10.3844/jcssp.2012.1644.1648.
Full textYehia, M., I. Ghandour, M. Saidy, and V. A. Stroev. "Reactive power optimization in large scale power systems." International Journal of Electrical Power & Energy Systems 14, no. 4 (August 1992): 276–83. http://dx.doi.org/10.1016/0142-0615(92)90056-f.
Full textDingPing, Li, Shen GuoLiang, Guo WenDong, Zhang ZHi, Hu BaoNing, and Gao Wei. "Power system reactive power optimization based on MIPSO." Energy Procedia 14 (2012): 788–93. http://dx.doi.org/10.1016/j.egypro.2011.12.1012.
Full textTaghavi, Reza, Ali Reza Seifi, and Meisam Pourahmadi-Nakhli. "Fuzzy reactive power optimization in hybrid power systems." International Journal of Electrical Power & Energy Systems 42, no. 1 (November 2012): 375–83. http://dx.doi.org/10.1016/j.ijepes.2012.04.002.
Full textDissertations / Theses on the topic "Optimization of reactive power"
Radibratovic, Branislav. "Reactive optimization of transmission and distribution networks." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/28264.
Full textCommittee Chair: Begovic, Miroslav; Committee Member: Divan, Deepakraj; Committee Member: Dorsey, John; Committee Member: Ferri, Bonnie; Committee Member: Lambert, Frank.
Ibrahim, Sarmad Khaleel. "DISTRIBUTION SYSTEM OPTIMIZATION WITH INTEGRATED DISTRIBUTED GENERATION." UKnowledge, 2018. https://uknowledge.uky.edu/ece_etds/116.
Full textMaroufi, Seyede Masoome. "Optimization of active and reactive power in smart buildings using a distributed model predictive control." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Find full textPhulpin, Yannick Dominique. "Coordination of reactive power scheduling in a multi-area power system operated by independent utilities." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31638.
Full textCommittee Chair: Begovic, Miroslav; Committee Member: Divan, Deepak; Committee Member: Harley, Ron; Committee Member: Petit, Marc; Committee Member: Verriest, Erik. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Wang, Zhongkui. "Reactive Power Control and Optimization of Large Scale Grid Connected Photovoltaic Systems in the Smart Grid." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1388764166.
Full textLi, Xiaofan. "Design, Analysis and Testing of a Self-reactive Wave Energy Point Absorber with Mechanical Power Take-off." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/100800.
Full textDoctor of Philosophy
Ocean wave as a renewable energy source possesses great potential for solving the world energy crisis and benefit human beings. The total theoretical potential wave power on the ocean-facing coastlines of the world is around 30,000 TWh, although impossible to be all transferred into electricity, the amount of the power can be absorbed still can cover a large portion of the world's total energy consumption. However, multiple reasons have stopped the ocean wave energy from being widely adopted, and among those reasons, the most important one is immature of the Power Take-off (PTO) technology. In this dissertation, a novel two body wave energy converter with a PTO using the unique mechanism of Mechanical Motion Rectifier (MMR) is investigated through design, analysis, and testing. To improve the energy harvesting efficiency and the reliability of the PTO, the dissertation induced a mechanical PTO that uses MMR mechanism which can transfer the reciprocated bi-directional movement of the ocean wave into unidirectional rotation of the generator. This mechanism brings in a unique phenomenon of engagement and disengagement and a piecewise nonlinear dynamic property into the PTO. Through a comprehensive study, the MMR PTO is further characterized and a refined dynamic model that can accurately predict the dynamic response of the PTO is established. The major factors that can influence the performance of the MMR PTO are explored and discussed both analytically and experimentally. Moreover, as it has been theoretically hypothesis that using a two-body structure for designing the point absorbers can help it to achieve a frequency tuning effect for it to better match with the excitation frequency of the ocean wave, it lacks experimental verification. In this dissertation, a scaled two-body point absorber prototype is developed and put into a wave tank to compare with the single body structure. The test results show that through the use of two-body structure and by designing the mass ratio between the two bodies properly, the point absorber can successfully match the excitation frequency of the wave. The highest power capture width ratio (CWR) achieved during the test is 58.7%, which exceeds the results of similar prototypes, proving the advantage of the proposed design.
Stypulkowski, Yuri Solis. "Alocação ótima de compensação de potência reativa." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/165244.
Full textThis work proposes a methodology to enumerate solutions, which indicate the bar and the reactive power compensation required for the electrical system under analysis, that meet the requirements evaluated by the objective function and the constraints. In this allocation of optimal compensation of reactive power, we obtain the optimal bars and technologies of compensation devices, minimizing the total losses of active power of the network. In weak networks with frequency converters (e.g. for connection of renewable sources, or interconnections using HVDC converters), the proposed methodology seeks the best threephase short-circuit (SCR) relation at the connection point, improving the connection of the new generation. The method looks for solutions to allocate a single compensation device, and solutions to allocate two devices simultaneously. The proposed methodology is based on the exhaustive enumeration of the solutions. A case study carried out in the IEEE 14 and 30 bus systems shows the applicability and performance of the proposed methodology.
Moghadasiriseh, Amirhasan. "Analysis and Modeling of Advanced Power Control and Protection Requirements for Integrating Renewable Energy Sources in Smart Grid." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2469.
Full textAlcântara, Márcio Venício Pilar 1978. "Alocação de capacitores em sistemas de distribuição de energia eletrica." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259439.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
Made available in DSpace on 2018-08-04T07:50:24Z (GMT). No. of bitstreams: 1 Alcantara_MarcioVenicioPilar_M.pdf: 1100908 bytes, checksum: 0913d60c47bc87e4c67320408f6905af (MD5) Previous issue date: 2005
Resumo: É sabido que o maior volume de perdas ocorre nos sistemas de distribuição de energia elétrica. Capacitores shunt são largamente utilizados nos alimentadores primários dos sistemas de distribuição para compensar potência reativa e conseqüentemente obter melhor perfil de tensão, reduções das perdas de potência e energia, e aumento da capacidade da rede de distribuição em atender carga ativa. A decisão do local ótimo de instalação de bancos de capacitores corresponde a um problema de programação matemática combinatorial. A determinação da influência da modelagem da carga na solução do problema, a inclusão de objetivos técnicos relacionados ao controle de tensão, custos de operação e de manutenção, e perdas de potência e energia, resultando numa nova formulação multi-critério com critérios conflitantes para o problema, e a viabilidade da aplicação de algoritmos genéticos como método de solução dessa nova formulação justificaram o desenvolvimento desta pesquisa. A definição do problema, e o desenvolvimento de modelagens matemáticas podem ser encontrados na primeira parte do trabalho. Na segunda parte apresentam-se os métodos de resolução utilizados nesse trabalho, são eles: heurísticos, e um método meta-heurístico. Um dos métodos heurísticos utiliza fatores de participação reativos da teoria de estabilidade de tensão para resolução do problema. O método meta-heurístico é um algoritmo baseado em algoritmos genéticos que resolve a formulação matemática apresentada anteriormente. Os métodos são testados utilizando-se uma rede real de 70 barras. Efeitos de cargas dependentes da tensão no problema são avaliados
Abstract: It is well known that the major portion of active power losses happen in the electric power distribution feeders. Shunt capacitors are broadly used in the primary feeders to compensate reactive power and consequently to obtain better voltage profile, reductions of power and energy losses, and increase the distribution network capacity in supplying active power demand. The decision of the optimal capacitors banks installation corresponds to a combinatorial mathematical programming problem. The determination of the influence of the load modeling in the solution of the problem, the inclusion of technical objectives relating to voltage control, costs of operation and maintenance, and cost of power and energy losses, resulting in a new multi-criteria formulation with conflicting criteria to the problem, and the viability of the application of genetic algorithms as method of solution of that new formulation justified the development of this research. The definition of the problem and the development of mathematical models can be found in the first part of the work. In the second it is presented the resolution methods, they are: heuristic, and a meta-heuristic method. One of the heuristic methods uses reactive participation factors commonly applied for voltage stability analysis of power systems. The meta-heuristic method is an algorithm based on genetic algorithms that solve the mathematical formulation previously presented. The methods are tested by using a real network of 70 bars. Effects of voltage dependent loads in the problem are quantified
Mestrado
Energia
Mestre em Engenharia Elétrica
Zubo, Rana H. A. "Distribution Network Operation with High Penetration of Renewable Energy Sources. Joint Active/Reactive Power Procurement: A Market-Based Approach for Operation of Distribution Network." Thesis, University of Bradford, 2019. http://hdl.handle.net/10454/18267.
Full textMinistry of Higher Education and Scientific Research - Iraq
The selected author's publications, the published versions of which were attached at the end of the thesis, have been removed due to copyright.
Books on the topic "Optimization of reactive power"
Battiti, Roberto, Mauro Brunato, and Franco Mascia. Reactive Search and Intelligent Optimization. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-09624-7.
Full textMahdavi Tabatabaei, Naser, Ali Jafari Aghbolaghi, Nicu Bizon, and Frede Blaabjerg, eds. Reactive Power Control in AC Power Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51118-4.
Full textSant, Godwin J. Reactive power study of the Maltese power system. Manchester: UMIST, 1998.
Find full text(Jürgen), Schlabbach J., and Just Wolfgang, eds. Reactive power compensation: A practical guide. Chichester, West Sussex, U.K: Wiley, 2012.
Find full textGandhi, Oktoviano. Reactive Power Support Using Photovoltaic Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61251-1.
Full textAmaris, Hortensia, Monica Alonso, and Carlos Alvarez Ortega. Reactive Power Management of Power Networks with Wind Generation. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4667-4.
Full textVeerapraditsin, Chanchai. Identification of reactive power margin using optimal power flow. Manchester: UMIST, 1998.
Find full textZelinka, Ivan. Power, Control and Optimization. Heidelberg: Springer International Publishing, 2013.
Find full textZelinka, Ivan, Pandian Vasant, and Nader Barsoum, eds. Power, Control and Optimization. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00206-4.
Full textZhu, Jizhong. Optimization of power system operation. Piscataway, N.J: Wiley-IEEE, 2009.
Find full textBook chapters on the topic "Optimization of reactive power"
Amaris, Hortensia, Monica Alonso, and Carlos Alvarez Ortega. "Reactive Power Optimization." In Reactive Power Management of Power Networks with Wind Generation, 55–76. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4667-4_4.
Full textJafari Aghbolaghi, Ali, Naser Mahdavi Tabatabaei, Narges Sadat Boushehri, and Farid Hojjati Parast. "Reactive Power Optimization in AC Power Systems." In Power Systems, 345–409. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51118-4_10.
Full textMahdavi Tabatabaei, Naser, Ali Jafari Aghbolaghi, Narges Sadat Boushehri, and Farid Hojjati Parast. "Reactive Power Optimization Using MATLAB and DIgSILENT." In Power Systems, 411–74. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51118-4_11.
Full textKannan, G., D. Padma Subramanian, and R. T. Udaya Shankar. "Reactive Power Optimization Using Firefly Algorithm." In Lecture Notes in Electrical Engineering, 83–90. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2119-7_9.
Full textBhattacharya, Bidishna, Kamal Krishna Mandal, and Niladri Chakraborty. "Reactive Power Optimization Using Hybrid Cultural Algorithm." In Swarm, Evolutionary, and Memetic Computing, 106–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35380-2_14.
Full textRani, Nibha, and Tanmoy Malakar. "Enhancement of Reactive Power Reserve Using Salp Swarm Algorithm." In Modeling, Simulation and Optimization, 347–66. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9829-6_27.
Full textPandya, K. S., J. K. Pandya, S. K. Joshi, and H. K. Mewada. "Reactive Power Optimization in Wind Power Plants Using Cuckoo Search Algorithm." In Metaheuristics and Optimization in Civil Engineering, 181–97. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26245-1_9.
Full textLi, Fengqiang, Lianjun Song, and Bo Cong. "Reactive Power Optimization Approach Based on Chaotic Particle Swarm Optimization." In Advances in Intelligent Systems and Computing, 131–37. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3383-9_12.
Full textSauerteig, Philipp, Manuel Baumann, Jörg Dickert, Sara Grundel, and Karl Worthmann. "Reducing Transmission Losses via Reactive Power Control." In Mathematical Modeling, Simulation and Optimization for Power Engineering and Management, 219–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62732-4_10.
Full textBattiti, Roberto, and Mauro Brunato. "Reactive Business Intelligence: Combining the Power of Optimization with Machine Learning." In Handbook of Combinatorial Optimization, 2815–48. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-7997-1_58.
Full textConference papers on the topic "Optimization of reactive power"
Jinquan Zhao, Lijie Ju, Weihua Luo, and Jun Zhao. "Reactive power optimization considering dynamic reactive power reserves." In 2014 International Conference on Power System Technology (POWERCON). IEEE, 2014. http://dx.doi.org/10.1109/powercon.2014.6993530.
Full textRamamoorthy, Ambika, and Rajeswari Ramachandran. "Reactive power optimization using GSA." In 2014 6th IEEE Power India International Conference (PIICON). IEEE, 2014. http://dx.doi.org/10.1109/poweri.2014.7117680.
Full textRamamoorthy, Ambika, and Rajeswari Ramachandran. "Reactive power optimization using GSA." In 2014 6th IEEE Power India International Conference (PIICON). IEEE, 2014. http://dx.doi.org/10.1109/34084poweri.2014.7117680.
Full textIba, K. "Reactive power optimization by genetic algorithm." In Conference Proceedings Power Industry Computer Application Conference. IEEE, 1993. http://dx.doi.org/10.1109/pica.1993.291017.
Full textKapadia, Raj K., and Nilesh K. Patel. "Reactive power optimization using Genetic Algorithm." In 2013 Nirma University International Conference on Engineering (NUiCONE). IEEE, 2013. http://dx.doi.org/10.1109/nuicone.2013.6780157.
Full textDurairaj, S., and B. Fox. "Evolutionary computation based reactive power optimization." In IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007). IEE, 2007. http://dx.doi.org/10.1049/ic:20070597.
Full textLi, Qin-hao, Yong-jun Zhang, and Xiao-lang Lin. "Application of power circle to reactive power optimization." In 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2014. http://dx.doi.org/10.1109/appeec.2014.7066088.
Full textLi, Dan, Liqun Gao, Shun Lu, Jia Ma, and Yang Li. "Adaptive Particle Swarm Optimization Algorithm for Power System Reactive Power Optimization." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282511.
Full textWei, Zhanhong, Zhihua Cui, and Jianchao Zeng. "Social Cognitive Optimization Algorithm with Reactive Power Optimization of Power System." In 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cason.2010.10.
Full textTomasevic, Frano, and Ivica Pavic. "Area voltage and reactive power optimization based on interconnection reactive power flow control." In 2017 IEEE Manchester PowerTech. IEEE, 2017. http://dx.doi.org/10.1109/ptc.2017.7981135.
Full textReports on the topic "Optimization of reactive power"
Kueck, John D., Brendan J. Kirby, Fangxing Li, Christopher Tufon, and Alan Isemonger. A Tariff for Reactive Power. Office of Scientific and Technical Information (OSTI), July 2008. http://dx.doi.org/10.2172/934945.
Full textKueck, John D., Christopher Tufon, Alan Isemonger, and Brendan J. Kirby. A Tariff for Reactive Power - IEEE. Office of Scientific and Technical Information (OSTI), November 2008. http://dx.doi.org/10.2172/941043.
Full textHsu, J. S. Instantaneous reactive power and power factor of instantaneous phasors. Office of Scientific and Technical Information (OSTI), February 1998. http://dx.doi.org/10.2172/654174.
Full textBan-Zvi, Ilan, A. Castilla, A. Macpherson, and N. Shipman. High-power ferro-electric fast reactive tuner. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1821214.
Full textJackson, L. T. High performance magnet power supply optimization. Office of Scientific and Technical Information (OSTI), January 1988. http://dx.doi.org/10.2172/6841772.
Full textYi, Qing. Power-Aware Datacenter Networking and Optimization. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5358.
Full textKueck, John D., D. Tom Rizy, Fangxing Li, Yan Xu, Huijuan Li, Sarina Adhikari, and Philip Irminger. Local Dynamic Reactive Power for Correction of System Voltage Problems. Office of Scientific and Technical Information (OSTI), December 2008. http://dx.doi.org/10.2172/945348.
Full textLesieutre, Bernard C., and Daniel K. Molzahn. Optimization and Control of Electric Power Systems. Office of Scientific and Technical Information (OSTI), October 2014. http://dx.doi.org/10.2172/1159823.
Full textHenry, SD. Reactive Power Laboratory: Synchronous Condenser Testing&Modeling Results - Interim Report. Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/885944.
Full textAzzolini, Joseph, and Matthew Reno. Analysis of Reactive Power Load Modeling Techniques for PV Impact Studies. Office of Scientific and Technical Information (OSTI), May 2022. http://dx.doi.org/10.2172/1869508.
Full text