Publication:

Modelos de optimización para sistemas de potencia en la evolución hacia redes inteligentes: Una revisión

Borlase, S., Smart grids: Infrastructure, technology, and solutions. CRC Press, 2016.

Electric Power Research Institute (EPRI), Report to NIST on the smart grid interoperability standards roadmap, EPRI, Contract No. SB1341-09-CN-0031-Deliverable, pp. 1-167, 2009.

National Institute of Standards and Technology, NIST Special Publication 1108 NIST Framework and roadmap for smart grid interoperability standards, 2010.

Pappu, V., Carvalho, M. and Pardalos, P.M., Optimization and security challenges in smart power grids. Springer, 2013.

Momoh, J.A., Electric power system applications of optimization, 53, 2001.

Calafiore, G.C. and Ghaoui, LE., Optimization models. Cambridge University Press, 2014.

Sánchez, P. et al., Modelos matemáticos de optimización, Madrid, 2010.

Renewable Energy Policy Network for the 21st Century (REN21), Renewables 2016: Global status report. 2016.

Arrillaga, J., Watson, N. and Liu, Y., Flexible power transmission the HVDC Options. John Wiley & Sons, Ltd, 2007.

European Technology Platform on Smartgrids, Consolidated view of the european platform on smartgrids, 2015.

U.S. Department of Energy, 2014 Smart grid system report(August. 2014.

Holttinen, H., Meibom, P. and Orths, A., Impacts of large amounts of wind power on design and operation of power systems, results of IEA collaboration, Wind Energy, 14(2), pp. 179-192, 2011. DOI: 10.1109/TPWRS.2010.2070848

Eftekharnejad, S., Vittal, V., Heydt, G.T., Keel, B. and Loehr, J., Impact of increased penetration of photovoltaic generation on power systems, Power Syst. IEEE Trans., 28(2), pp. 893-901, 2013. DOI: 10.1109/TPWRS.2012.2216294

Mahmoud, M.S. and AL-Sunni, F.M., Control and optimization of distributed generation systems, 2015.

Ackermann, T., Andersson, G. and Söder, L., Distributed generation: A definition, Electr. Power Syst. Res., 57(3), pp. 195-204, 2001. DOI: 10.1016/S0378-7796(01)00101-8

Li, R. and Zhou, F., Microgrid technology and engineering application. Elsevier Science & Technology Books, 2015.

Vanitha, R., Baskaran, J. and Sudhakaran, M., Multi Objective Optimal Power Flow with STATCOM using DE in WAFGP, Indian J. Sci. Technol., 8(2, pp. 191-198, 2015. DOI: 10.17485/ijst/2015/v8i1/56654

Kim, C.K., Sood, V.K., Jang, G.S., Lim, S.J. and Lee, S.J., HVDC Transmission: Power Conversion Applications in Power Systems. Wiley, 2009.

Carrizosa, M.J.J., Navas, F.D., Damm, G. and Lamnabhi-Lagarrigue, F.F., Optimal power flow in multi-terminal HVDC grids with offshore wind farms and storage devices, Int. J. Electr. Power Energy Syst., 65, pp. 291-298, 2015. DOI: 10.1016/j.ijepes.2014.10.016

Kondoh, J. et al., Electrical energy storage systems for energy networks, Energy Convers. Manag., 41(17), pp. 1863-1874, 2000.

Luo, X., Wang, J., Dooner, M. and Clarke, J., Overview of current development in electrical energy storage technologies and the application potential in power system operation, Appl. Energy, 137, pp. 511-536, 2015. DOI: 10.1016/j.apenergy.2014.09.081

Zhao, H., Wu, Q., Hu, S., Xu, H., Rasmussen, C.N. and Nygaard, C., Review of energy storage system for wind power integration support, Appl. Energy, 137, pp. 545-553, DOI: 2014. 10.1016/j.apenergy.2014.04.103

Losi, A., Mancarella, P. and Vicino, A., Integration of demand response into the electricity chain: Challenges, opportunities and smart grid solutions. Wiley, 2015.

U.S. Department of Energy, Benefits of demand response in electricity markets and recommendations for achieving them, 2009.

Cappers, P., Goldman, C. and Kathan, D., Demand response in U.S. electricity markets: Empirical Evidence, Berkeley, U.S.A., 2009.

Siano, P., Demand response and smart grids - A survey, renew. Sustain. Energy Rev., 30, pp. 461-478, 2014.

Fathima, A.H. and Palanisamy, K., Optimization in microgrids with hybrid energy systems - A review, renew. Sustain. Energy Rev., 45, pp. 431-446, 2015. DOI: 10.1016/j.rser.2015.01.059

Sinha, S. and Chandel, S.S., Review of software tools for hybrid renewable energy systems, renew. Sustain. Energy Rev., 32, pp. 192-205, 2014. DOI: 10.1016/j.rser.2014.01.035

Bhandari, B., Lee, K.-T., Lee, G.-Y., Cho, Y.-M. and Ahn, S.-H., Optimization of hybrid renewable energy systems: A review, Int. J. Precis. Eng. Manuf. Technol., 2(1), pp. 99-112, 2015.

Sinha, S. and Chandel, S.S., Review of recent trends in optimization techniques for solar photovoltaic-wind based hybrid energy systems, Renew. Sustain. Energy Rev., 50, pp. 755-769, 2015. DOI: 10.1016/j.rser.2015.05.040

Camargo, L.A.S., Ramos, D.S., Guarnier, E., Ishida, S. and Matsudo, E., Alternative generation sources portfolio: Optimal resource allocation and risk analysis supported by genetics algorithms, IEEE Lat. Am. Trans., 14(7), pp. 3232-3241, 2016.

Abdelaziz, A.Y., Hegazy, Y.G., El-Khattam, W. and Othman, M.M., Optimal allocation of stochastically dependent renewable energy based distributed generators in unbalanced distribution networks, Electr. Power Syst. Res., 119, pp. 34-44, 2015. DOI: 10.1016/j.epsr.2014.09.005

Wang, J. and Yang, F., Optimal capacity allocation of standalone wind/solar/battery hybrid power system based on improved particle swarm optimisation algorithm, IET Renew. Power Gener., 7(5), pp. 443-448, 2013.

Zhou, W., Lou, C., Li, Z., Lu, L. and Yang, H., Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems, Appl. Energy, 87(2), pp. 380-389, 2010.

Rodrigues, S., Bauer, P. and Bosman, P.A.N., Multi-objective optimization of wind farm layouts - Complexity, constraint handling and scalability, Renew. Sustain. Energy Rev., 65, pp. 587-609, 2016.

Yang, J., Feng, X., Tang, Y., Yan, J., He, H. and Luo, C., A power system optimal dispatch strategy considering the flow of carbon emissions and large consumers, Energies, 8(9), pp. 9087-9106, 2015. DOI: 10.3390/en8099087

Summers, T., Warrington, J., Morari, M. and Lygeros, J., Stochastic optimal power flow based on conditional value at risk and distributional robustness, Int. J. Electr. Power Energy Syst., 72, pp. 116-125, 2015. DOI: 10.1016/j.ijepes.2015.02.024

Dufo-López, R. and Bernal-Agustín, J.L., Multi-objective design of PV-wind-diesel-hydrogen-battery systems, Renew. Energy, 33(12), pp. 2559-2572, 2008.

Ould-Bilal, B., Sambou, V., Ndiaye, P.A., Kébé, C.M.F. and Ndongo, M., Optimal design of a hybrid solar-wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP), Renew. Energy, 35(10), pp. 2388-2390, DOI: 2010. 10.1016/j.renene.2010.03.004

Martinez, G., Anderson, L.C., Anderson, L. and Martínez, G., Toward a scalable chance-constrained formulation for unit commitment to manage high penetration of variable generation, en 52nd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2014, pp. 723-730, 2014.

Taghavi, R., Reza, A. and Samet, H., Stochastic reactive power dispatch in hybrid power system with intermittent wind power generation, 89, 2015.

Atwa, Y.M. and El-Saadany, E.F., Probabilistic approach for optimal allocate on of wind-based distributed generation in distribution systems, IET Renew. Power Gener., 5(1), pp. 79-88, 2011. DOI: 10.1049/iet-rpg.2009.0011

Peng, X., Lin, L., Zheng, W. and Liu, Y., Crisscross optimization algorithm and monte carlo simulation for solving optimal distributed generation allocation problem, Energies, 8(12), pp. 13641-13659, 2015.

Shahzad, M., Ahmad, I., Gawlik, W. and Palensky, P., Load concentration factor based analytical method for optimal placement of multiple distribution generators for loss minimization and voltage profile improvement, Energies, 9(4), 2016.

Theo, W.L., Lim, J.S., Ho, W.S., Hashim, H. and Lee, C.T., Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods, Renew. Sustain. Energy Rev., 67, pp. 531-573, 2017. DOI: 10.1016/j.rser.2016.09.063

Ansarian, M., Sadeghzadeh, S.M. and Fotuhi-firuzabad, M., Optimum generation dispatching of distributed resources in smart grids, 2014.

Lasseter R., et al., The CERTS MicroGrid Concept, 2002.

Bhuiyan, F.A., Yazdani, A. and Primak, S.L., Optimal sizing approach for islanded microgrids, IET Renew. Power Gener., 9(2), pp. 166-175, 2015.

Ma, Y., Ji, J. and Tang, X., Triple-objective optimal sizing based on dynamic strategy for an islanded hybrid energy microgrid, Int. J. Green Energy, November, 2016.

Fossati, J.P., Galarza, A., Martín-Villate, A. and Fontán, L., A method for optimal sizing energy storage systems for microgrids, Renew. Energy, 77, pp. 539-549, 2015.

Ghiani, E., Vertuccio, C. and Pilo, F., Optimal sizing and management of a smart Microgrid for prevailing self-consumption, 2015 IEEE Eindhoven Power Tech. pp. 1-6, 2015. DOI: 10.1109/PTC.2015.7232554