{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T04:31:19Z","timestamp":1775104279058,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T00:00:00Z","timestamp":1751500800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"FCT","doi-asserted-by":"publisher","award":["2021.01052.CEECIND"],"award-info":[{"award-number":["2021.01052.CEECIND"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Urban Science"],"abstract":"<jats:p>In this paper, a very fast and reliable strategy for load restoration utilizing optimal distribution feeder reconfiguration (DFR) is developed. The automated network configuration switches can improve the resilience of a microgrid (MG) equipped with a centralized and coordinated energy management system (EMS). The EMS has the authority to reconfigure the distribution network to fulfil high priority loads in the entire network, at the lowest cost, while maintaining the voltage at desirable bounds. In the case of islanded operation, the EMS is responsible for serving the high priority loads, including the establishment of new MGs, if necessary. This paper discusses the main functionality of the EMS in both grid-connected and islanded operation modes of MGs. The proposed model is developed based on a mixed-integer quadratically constrained program (MIQCP), including an optimal power flow (OPF) problem to minimize the power losses in normal operation and the load shedding in islanded operation, while keeping voltage and capacity constraints. The proposed framework is implemented on a modified IEEE 33-bus test system and the results show that the model is fast and accurate enough to be utilized in real-life situations without a loss of accuracy.<\/jats:p>","DOI":"10.3390\/urbansci9070255","type":"journal-article","created":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T06:01:33Z","timestamp":1751522493000},"page":"255","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An Automated Load Restoration Approach for Improving Load Serving Capabilities in Smart Urban Networks"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6522-4043","authenticated-orcid":false,"given":"Ali","family":"Esmaeel Nezhad","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409, USA"}]},{"given":"Mohammad Sadegh","family":"Javadi","sequence":"additional","affiliation":[{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal"}]},{"given":"Farideh","family":"Ghanavati","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management, University of Aveiro, 3810-193 Aveiro, Portugal"}]},{"given":"Toktam","family":"Tavakkoli Sabour","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409, USA"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"100006","DOI":"10.1016\/j.prime.2021.100006","article-title":"Conditional Value-at-Risk Model for Smart Home Energy Management Systems","volume":"1","author":"Javadi","year":"2021","journal-title":"e-Prime\u2014Adv. 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