Mercados Eléctricos para Nano-Redes Inteligentes
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inteligentes, realizando un estudio de los aspectos principales, estructura e integración. Investigaciones previas son discutidas e ideas fundamentales son desarrolladas y explicadas, y finalmente variables y restricciones son expuestas para modelar un mercado eléctrico incluyendo las consideraciones para nano redes inteligentes.
(1) Soares N, Martins AG, Carvalho AL, Caldeira C, Du C, Castanheira E, et al. The challenging paradigm of interrelated energy systems towards a more sustainable future. Renew Sustain Energy Rev. 2018;95:171–93. Doi: 10.1016/j.rser.2018.07.023. Avalaible from: https://www.sciencedirect.com/science/article/pii/S136403211830529X.
(2) Huang B, Xie G, Kong W, Li Q. Study on smart grid and key technology system to promote the development of distributed generation. En: 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2012 [Internet]. Tianjin, China: IEEE Institute of Electrical and Electronics Engineers; 2012. p. 1–4. Avalaible from: https://ieeexplore.ieee.org/abstract/document/6303265.
(3) Garcia E, Isaac I. Demand response systems for integrating energy storage batteries for residential users. En: 2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016 [Internet]. Guayaquil, Ecuador: IEEE Institute of Electrical and Electronics Engineers; 2016. p. 1–6. Avalaible from: https://ieeexplore.ieee.org/document/7750818.
(4) Saebi J, Javidi MH. Implementation of demand response in different control strategies of smart grids. En: 2012 2nd Iranian Conference on Smart Grids, ICSG 2012 [Internet]. Tehran, Iran: IEEE Institute of Electrical and Electronics Engineers; 2012. p. 1–4. Disponible en: https://ieeexplore.ieee.org/document/6243525.
(5) Fahimi B, Kwasinski A, Davoudi A, Balog R, Kiani M. Charge It! IEEE Power Energy Mag [Internet]. 2011;9(4):54–64. Avalaible from: https://ieeexplore.ieee.org/document/5899017.
(6) Bruno S, Giannoccaro G, La Scala M. Optimization of residential storage and energy resources under demand response schemes. En: 19th IEEE Mediterranean Eletrotechnical Conference, MELECON 2018 [Internet]. Marrakech, Morocco: IEEE Institute of Electrical and Electronics Engineers; 2018. p. 225–30. Avalaible from: https://ieeexplore.ieee.org/abstract/document/8379098.
(7) Manshadi SD, Khodayar ME. A Hierarchical Electricity Market Structure for the Smart Grid Paradigm. IEEE Trans Smart Grid [Internet]. 2016;7(4):1866–75. Disponible en: https://ieeexplore.ieee.org/document/7112538.
(8) Manoochehri H, Fereidunian A. A multimarket approach to peak-shaving in Smart Grid using time-of-use prices. En: 2016 8th International Symposium on Telecommunications, IST 2016 [Internet]. Tehran, Iran: IEEE Institute of Electrical and Electronics Engineers; 2017. p. 707–12. Available from: https://ieeexplore.ieee.org/document/7881915.
(9) Bhalshankar SS, Thorat CS. Integration of smart grid with renewable energy for energy demand management: Puducherry case study. En: International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings [Internet]. Paralakhemundi, India: IEEE Institute of Electrical and Electronics Engineers; 2017. p. 1–5. Available from: https://ieeexplore.ieee.org/document/7955498.
(10) Morcillo JD, Franco CJ, Angulo F. Delays in electricity market models. Energy Strateg Rev [Internet]. 2017;16:24–32. Available from: http://dx.doi.org/10.1016/j.esr.2017.02.004.
(11) García EM, Águila A, Isaac I, González JW, López G. Analysis of voltage profile to determine energy demand using Monte Carlo algorithms and Markov Chains (MCMC). En: 2016 51st International Universities Power Engineering Conference, UPEC [Internet]. Coimbra, Portugal: IEEE Institute of Electrical and Electronics Engineers; 2017. p. 1–6. Available from: https://ieeexplore.ieee.org/document/8114092.
(12) De Oliveira-De Jesus PM, Antunes CH. Economic valuation of smart grid investments on electricity markets. Sustain Energy, Grids Networks [Internet]. 2018;16:70–90. Available from: https://doi.org/10.1016/j.segan.2018.05.003.
(13) Grimm V, Martin A, Schmidt M, Weibelzahl M, Zöttl G. Transmission and generation investment in electricity markets: The effects of market splitting and network fee regimes. Eur J Oper Res [Internet]. 2016;254(2):493–509. Available from: https://www.sciencedirect.com/science/article/pii/S0377221716301904.
(14) Papalexopoulos A. Lessons learned from past electricity market design models and a road map for next generation design models. En: 2006 IEEE Power Engineering Society General Meeting [Internet]. Montreal, Canada: IEEE Institute of Electrical and Electronics Engineers; 2008. p. 2 pp. Available from: https://ieeexplore.ieee.org/document/1709496.
(15) Kakran S, Chanana S. Smart operations of smart grids integrated with distributed generation: A review. Renew Sustain Energy Rev [Internet]. 2018;81 part I:524–35. Available from: http://dx.doi.org/10.1016/j.rser.2017.07.045.
(16) Tahmasebi M, Pasupuleti J. Electricity demand uncertainty modeling using enhanced path-based scenario generation method. En: 2017 6th International Youth Conference on Energy, IYCE 2017 [Internet]. Budapest, Hungary: IEEE Institute of Electrical and Electronics Engineers; 2017. p. 1–5. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8003747.
(17) Ventosa M, Baíllo Á, Ramos A, Rivier M. Electricity market modeling trends. Energy Policy [Internet]. 2005;33(7):897–913. Available from: https://www.sciencedirect.com/science/article/pii/S0301421503003161.
(18) Streimikiene D, Siksnelyte I. Sustainability assessment of electricity market models in selected developed world countries. Renew Sustain Energy Rev [Internet]. 2016;57:72–82. Available from: http://dx.doi.org/10.1016/j.rser.2015.12.113.
(19) Li X, Gao L, Wang G, Gao F, Wu Q. Investing and pricing with supply uncertainty in electricity market: A general view combining wholesale and retail market. China Commun [Internet]. 2015;12(3):20–34. Available from: https://ieeexplore.ieee.org/document/7084360.
(20) Batas-Bjelic I, Rajakovic N, Duic N. Smart municipal energy grid within electricity market. Energy [Internet]. 2017;137:1277–85. Available from: https://doi.org/10.1016/j.energy.2017.06.177.
(21) Wu JK, Long J, Wang JX. Stochastic dynamic generation models in electricity markets. En: Conference, 2004 IEEE Industrial and Commercial Power Systems Technical [Internet]. Clearwater Beach, Florida, USA: IEEE Institute of Electrical and Electronics Engineers; 2004. p. 45–9. Available from: https://ieeexplore.ieee.org/document/1314980.
(22) Bina MT, Ahmadi D. Stochastic Modeling for the Next Day Domestic Demand Response Applications. IEEE Trans Power Syst [Internet]. 2015;30(6):2880–93. Available from: https://ieeexplore.ieee.org/document/7010039.
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