{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:56:15Z","timestamp":1760241375318,"version":"build-2065373602"},"reference-count":49,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,1,7]],"date-time":"2018-01-07T00:00:00Z","timestamp":1515283200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Energies"],"abstract":"<jats:p>Insular power systems represent an asset and an excellent starting point for the development and analysis of innovative tools and technologies. The integration of renewable energy resources that has taken place in several islands in the south of Europe, particularly in Portugal, has brought more uncertainty to production management. In this work, an innovative scheduling model is proposed, which considers the integration of wind and solar resources in an insular power system in Portugal, with a strong conventional generation basis. This study aims to show the benefits of increasing the integration of renewable energy resources in this insular power system, and the objectives are related to minimizing the time for which conventional generation is in operation, maximizing profits, reducing production costs, and consequently, reducing greenhouse gas emissions.<\/jats:p>","DOI":"10.3390\/en11010144","type":"journal-article","created":{"date-parts":[[2018,1,8]],"date-time":"2018-01-08T12:26:02Z","timestamp":1515414362000},"page":"144","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Scheduling Model for Renewable Energy Sources Integration in an Insular Power System"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8328-9708","authenticated-orcid":false,"given":"Gerardo J.","family":"Os\u00f3rio","sequence":"first","affiliation":[{"name":"Centre for Mechanical and Aerospace Science and Technologies (C-MAST), University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1691-5355","authenticated-orcid":false,"given":"Miadreza","family":"Shafie-khah","sequence":"additional","affiliation":[{"name":"Centre for Mechanical and Aerospace Science and Technologies (C-MAST), University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"}]},{"given":"Juan M.","family":"Lujano-Rojas","sequence":"additional","affiliation":[{"name":"Instituto de Engenharia de Sistemas e Computadores\u2014Investiga\u00e7\u00e3o e Desenvolvimento (INESC-ID), Instituto Superior T\u00e9cnico, University of Lisbon, 1049-001 Lisbon, Portugal"}]},{"given":"Jo\u00e3o P. S.","family":"Catal\u00e3o","sequence":"additional","affiliation":[{"name":"Centre for Mechanical and Aerospace Science and Technologies (C-MAST), University of Beira Interior, 6201-001 Covilh\u00e3, Portugal"},{"name":"Instituto de Engenharia de Sistemas e Computadores\u2014Investiga\u00e7\u00e3o e Desenvolvimento (INESC-ID), Instituto Superior T\u00e9cnico, University of Lisbon, 1049-001 Lisbon, Portugal"},{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) and Faculty of Engineering of the University of Porto, 4200-465 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2018,1,7]]},"reference":[{"key":"ref_1","unstructured":"International Energy Agency (OECD\/EIA) (2016). Energy Climate Change and Environment: 2016 Insights, International Energy Agency (OECD\/EIA)."},{"key":"ref_2","unstructured":"World Energy Council (2017). World Energy Issues Monitor 2017: Exposing the New Energy Realities, World Energy Council."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.epsr.2015.12.020","article-title":"ANN-based scenario generation methodology for stochastic variables of electric power systems","volume":"134","author":"Vagropoulos","year":"2016","journal-title":"Electr. Power Sustain. Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1308","DOI":"10.1016\/j.renene.2015.09.064","article-title":"Optimal operation of insular electricity grids under high RES penetration","volume":"86","author":"Simoglou","year":"2016","journal-title":"Renew. Energy"},{"key":"ref_5","unstructured":"U.S. Energy Information Administration Report (2017, February 06). International Energy Outlook 2016 with Projection to 2040, Available online: http:\/\/www.eia.gov\/forecast\/ieo#."},{"key":"ref_6","unstructured":"European Union (2017). Directorate-General for Internal Policies. Policy Department A: Economic and Scientific Policy. European Energy Industry Investments, European Union."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.rser.2015.07.104","article-title":"Overview of insular power systems under increasing penetration of renewable energy sources: Opportunities and challenges","volume":"52","author":"Paterakis","year":"2015","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2019","DOI":"10.1016\/j.rser.2010.03.018","article-title":"Impact of large amounts of wind power on the operation of an electricity generation system: Belgian case study","volume":"14","author":"Luickx","year":"2010","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.enpol.2012.07.032","article-title":"The cost of wind power variability","volume":"51","author":"Katzenstein","year":"2012","journal-title":"Energy Policy"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/j.apenergy.2015.05.048","article-title":"New control strategy for the weekly scheduling of insular power systems with a battery storage system","volume":"154","author":"Rodrigues","year":"2015","journal-title":"Appl. Energy"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1016\/j.ijepes.2014.09.010","article-title":"A new scenario generation-based method to solve the unit commitment problem with high penetration of renewable energies","volume":"64","author":"Matias","year":"2015","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.enconman.2015.01.071","article-title":"A fast method for the unit scheduling problem with significant renewable power generation","volume":"94","author":"Matias","year":"2015","journal-title":"Energy Convers. Manag."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1016\/j.enconman.2014.07.060","article-title":"Application of quantum-inspired binary gravitational search algorithm for thermal unit commitment with wind power integration","volume":"87","author":"Jia","year":"2014","journal-title":"Energy Convers. Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1016\/j.energy.2016.03.007","article-title":"Integration of renewable generation uncertainties into stochastic unit commitment considering reserve and risk: A comparative study","volume":"103","author":"Quan","year":"2016","journal-title":"Energy"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1074","DOI":"10.1016\/j.ijforecast.2015.11.006","article-title":"K-nearest neighbors and a kernel density estimator for GEFCom2014 probabilistic wind power forecasting","volume":"32","author":"Zhang","year":"2016","journal-title":"Int. J. Forecast."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.rser.2014.06.015","article-title":"An advanced model for the efficient and reliable short-term operation of insular electricity networks with high renewable energy sources penetration","volume":"38","author":"Simoglou","year":"2014","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.rser.2016.11.246","article-title":"Recent approaches of unit commitment in the presence of intermittent renewable energy resources: A review","volume":"70","author":"Abujarad","year":"2017","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1016\/j.ijepes.2016.04.043","article-title":"Implementation of clustering based unit commitment employing imperialistic competition algorithm","volume":"82","author":"Ganesh","year":"2016","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.ijepes.2014.03.061","article-title":"Unit commitment using Lagrangian relaxation and particle swarm optimization","volume":"61","author":"Yu","year":"2014","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_20","first-page":"738","article-title":"Profit based unit commitment for GENCOs using Lagrange relaxation-differential evolution","volume":"20","author":"Sudhakar","year":"2017","journal-title":"Eng. Sci. Technol. Int. J."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.swevo.2012.11.005","article-title":"Profit based unit commitment for GENCOs using parallel NACO in a distributed cluster","volume":"10","author":"Columbus","year":"2013","journal-title":"Swarm Evol. Comput."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3637","DOI":"10.1109\/TPWRS.2017.2655078","article-title":"Chance-constrained two-stage unit commitment under uncertain load and wind power output using bilinear Benders decomposition","volume":"32","author":"Zhang","year":"2017","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.asoc.2015.10.026","article-title":"An ICA based approach for solving profit based unit commitment problem market","volume":"38","author":"Ghadi","year":"2016","journal-title":"Appl. Soft Comput."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.ijepes.2016.03.011","article-title":"Optimal power scheduling of thermal units considering emission constraint for GENCOs\u2019 profit maximization","volume":"82","author":"Ghadi","year":"2016","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.ijepes.2015.11.064","article-title":"New probabilistic method for solving economic dispatch and unit commitment problems incorporating uncertainty due to renewable energy integration","volume":"78","year":"2016","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1016\/j.apenergy.2016.11.085","article-title":"Study on unit commitment problem considering pumped storage and renewable energy via a novel binary artificial sheep algorithm","volume":"187","author":"Wang","year":"2017","journal-title":"Appl. Energy"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1109\/TII.2015.2509424","article-title":"Optimal battery sizing in microgrids using probabilistic unit commitment","volume":"12","author":"Khorramdel","year":"2016","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1206","DOI":"10.1016\/j.rser.2017.03.097","article-title":"Application of differential evolution algorithm in static and dynamic economic or emission dispatch problem: A review","volume":"77","author":"Jebaraj","year":"2017","journal-title":"Renew. Sust. Energy Rev."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2134","DOI":"10.1016\/j.rser.2009.03.007","article-title":"Economic dispatch using particle swarm optimization: A review","volume":"13","author":"Mahor","year":"2009","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_30","unstructured":"Sun, Y., and Wang, Z. (2017, January 23\u201325). Improved particle sward optimization based dynamic economic dispatch of power system. Proceedings of the International Conference on Sustainable Materials Processing and Manufacturing, Skukuza, South Africa."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.ijepes.2014.10.053","article-title":"Optimal bidding strategy for GENCOs based on parametric linear programming considering incomplete information","volume":"66","author":"Gao","year":"2015","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1016\/j.ifacol.2015.12.427","article-title":"Stochastic economic load dispatch with multiple fuels using improved particle swarm optimization","volume":"48","author":"Modi","year":"2015","journal-title":"IFAC-PaperOnLine"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.egypro.2017.03.131","article-title":"Dispatchability of wind power with battery energy storage in South Australia","volume":"110","author":"Tarca","year":"2017","journal-title":"Energy Procedia"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1109\/TSTE.2015.2497470","article-title":"Flexible operation of batteries in power systems scheduling with renewable energy","volume":"7","author":"Li","year":"2016","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"800","DOI":"10.1016\/j.renene.2016.05.012","article-title":"A dynamic economic emission dispatch considering wind power uncertainty incorporating energy storage system and demand side management","volume":"96","author":"Alham","year":"2016","journal-title":"Renew. Energy"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1016\/j.energy.2017.03.051","article-title":"Demand side management in a smart micro-grid in the presence of renewable generation and demand response","volume":"126","author":"Aghajani","year":"2017","journal-title":"Energy"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"37","DOI":"10.17775\/CSEEJPES.2015.00047","article-title":"Demand response based and wind farm integrated economic dispatch","volume":"1","author":"Xing","year":"2015","journal-title":"CSEE J. Power Energy Syst."},{"key":"ref_38","unstructured":"Catal\u00e3o, J.P.S. (2015). Smart and Sustainable Power Systems: Operations, Planning and Economics of Insular Electricity Grids, CRC Press."},{"key":"ref_39","unstructured":"(2017, March 27). General Algebraic Modeling System (GAMS)\u2014Cutting Edge Modeling. Available online: https:\/\/www.gams.com\/."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1098","DOI":"10.1109\/59.871739","article-title":"Optimal response of a thermal unit to an electricity spot market","volume":"15","author":"Arroyo","year":"2000","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"3425","DOI":"10.1016\/j.enconman.2011.07.012","article-title":"Unified solution of a non-convex SCUC problem using combination of modified branch-and-bound method with quadratic programming","volume":"52","year":"2011","journal-title":"Energy Convers. Manag."},{"key":"ref_42","unstructured":"Eletricidade dos A\u00e7ores A\u00e7ores Sa (EDA) (2015). Relat\u00f3rio e Contas: Em Harmonia com a Natureza, GLOBALEDA. (In Portuguese)."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.apenergy.2017.04.062","article-title":"Evaluating the benefits of coordinated emerging flexible resources in electricity markets","volume":"199","author":"Golshan","year":"2017","journal-title":"Appl. Energy"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Ili\u0107, M., Xie, L., and Liu, Q. (2013). Engineering IT-Enabled sustainable electricity services: The tale of two low-cost green azores islands. Power Electronics and Power System, Springer.","DOI":"10.1007\/978-0-387-09736-7"},{"key":"ref_45","unstructured":"Eletricidade dos A\u00e7ores A\u00e7ores Sa (EDA) (2014). Caracteriza\u00e7\u00e3o das Redes de Transporte e Distribui\u00e7\u00e3o de Energia El\u00e9ctrica da Regi\u00e3o Aut\u00f3noma dos A\u00e7ores, EDA."},{"key":"ref_46","unstructured":"(2017, March 27). ENERCON\u2014Energy for the World. Available online: http:\/\/www.enercon.de\/en\/products\/ep-1\/e-44\/."},{"key":"ref_47","unstructured":"(2017, March 27). Trading Economics. Available online: http:\/\/tradingeconomics.com\/commodity\/heating-oil."},{"key":"ref_48","unstructured":"(2017, March 27). SMARTWATT\u2014Solution for Energy Systems. Available online: http:\/\/smartwatt.net\/SingularWeb\/#\/home\/azores."},{"key":"ref_49","unstructured":"(2017, March 27). Renewable Forecast. Available online: https:\/\/www.renewables.ninja\/#."}],"container-title":["Energies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1996-1073\/11\/1\/144\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:50:24Z","timestamp":1760194224000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1996-1073\/11\/1\/144"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,7]]},"references-count":49,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2018,1]]}},"alternative-id":["en11010144"],"URL":"https:\/\/doi.org\/10.3390\/en11010144","relation":{},"ISSN":["1996-1073"],"issn-type":[{"type":"electronic","value":"1996-1073"}],"subject":[],"published":{"date-parts":[[2018,1,7]]}}}