{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T21:36:27Z","timestamp":1773351387436,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2019,12,11]],"date-time":"2019-12-11T00:00:00Z","timestamp":1576022400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003176","name":"Ministerio de Educaci\u00f3n, Cultura y Deporte","doi-asserted-by":"publisher","award":["CAS18\/00291"],"award-info":[{"award-number":["CAS18\/00291"]}],"id":[{"id":"10.13039\/501100003176","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sustainability"],"abstract":"<jats:p>The integration of renewable generation in electricity networks is one of the most widespread strategies to improve sustainability and to deal with the energy supply problem. Typically, the reinforcement of the generation fleet of an existing network requires the assessment and minimization of the installation and operating costs of all the energy resources in the network. Such analyses are usually conducted using peak demand and generation data. This paper proposes a method to optimize the location and size of different types of generation resources in a network, taking into account the typical evolution of demand and generation. The importance of considering this evolution is analyzed and the methodology is applied to two standard networks, namely the Institute of Electrical and Electronics Engineers (IEEE) 30-bus and the IEEE 118-bus. The proposed algorithm is based on the use of particle swarm optimization (PSO). In addition, the use of an initialization process based on the cross entropy (CE) method to accelerate convergence in problems of high computational cost is explored. The results of the case studies highlight the importance of considering dynamic demand and generation profiles to reach an effective integration of renewable resources (RRs) towards a sustainable development of electric systems.<\/jats:p>","DOI":"10.3390\/su11247111","type":"journal-article","created":{"date-parts":[[2019,12,12]],"date-time":"2019-12-12T03:20:16Z","timestamp":1576120816000},"page":"7111","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Optimal Generation Scheduling with Dynamic Profiles for the Sustainable Development of Electricity Grids"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9459-0563","authenticated-orcid":false,"given":"Carlos","family":"Rold\u00e1n-Blay","sequence":"first","affiliation":[{"name":"Institute for Energy Engineering, Universitat Polit\u00e8cnica de Val\u00e8ncia, Camino de Vera, s\/n, edificio 8E, escalera F, 5\u00aa planta, 46022 Valencia, Spain"}]},{"given":"Vladimiro","family":"Miranda","sequence":"additional","affiliation":[{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), R. Dr. Roberto Frias, s\/n, 4200-465 Porto, Portugal"},{"name":"Faculty of Engineering of the University of Porto, R. Dr. Roberto Frias, s\/n, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9097-3679","authenticated-orcid":false,"given":"Leonel","family":"Carvalho","sequence":"additional","affiliation":[{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), R. Dr. Roberto Frias, s\/n, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5088-3521","authenticated-orcid":false,"given":"Carlos","family":"Rold\u00e1n-Porta","sequence":"additional","affiliation":[{"name":"Institute for Energy Engineering, Universitat Polit\u00e8cnica de Val\u00e8ncia, Camino de Vera, s\/n, edificio 8E, escalera F, 5\u00aa planta, 46022 Valencia, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1016\/j.enpol.2012.10.046","article-title":"Depletion of fossil fuels and anthropogenic climate change\u2014A review","volume":"52","author":"Tang","year":"2013","journal-title":"Energy Policy"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.eneco.2016.12.009","article-title":"Historical energy price shocks and their changing effects on the economy","volume":"62","author":"Fouquet","year":"2017","journal-title":"Energy Econ."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Os\u00f3rio, G.J., Shafie-khah, M., Lujano-Rojas, J.M., and Catal\u00e3o, J.P.S. 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