2019
DOI: 10.1109/tsg.2018.2805922
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Distribution Network Restoration in a Multiagent Framework Using a Convex OPF Model

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Cited by 43 publications
(17 citation statements)
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“…Considering the data recorded in the database it is possible to forecast the charge/energy generation for the next half hour, forming a history used in the forecast. The paper in Sekhavatmanesh and Cherkaoui (2018) adopts the multi-agent concept in the smart grid and applies it to create a structure capable of recovering itself applicable for the catering activities.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Considering the data recorded in the database it is possible to forecast the charge/energy generation for the next half hour, forming a history used in the forecast. The paper in Sekhavatmanesh and Cherkaoui (2018) adopts the multi-agent concept in the smart grid and applies it to create a structure capable of recovering itself applicable for the catering activities.…”
Section: Resultsmentioning
confidence: 99%
“…,Avila et al (2015), De Santis et al (2015),Dou and Liu (2014), El-Sharafy and Farag (2017),Ji et al (2016),Jain et al (2018),Ghorbani et al (2015),Meskina et al (2018),Ospina and Quijano (2016),Sekhavatmanesh and Cherkaoui (2018), Ren et al (2019), Shirazi and Jadid (2018), Shirazi and Jadid (2019), Tebekaemi and Wijesekera (2019) ,Xia et al (2014) MAS Decentralized processing #2 El-Sharafy and Farag (2017), Jain et al (2018), Oliveira et al (2017), Xia et al (2014) MAS/FL Island operation (standalone microgrids) #3 Avila et al (2015),Dou and Liu (2014), Xia et al (2014), El-Sharafy and Farag (2017), Meskina et al (2018), Sekhavatmanesh and Cherkaoui (2018), Shirazi and Jadid (2019),Oliveira et al (2017), Shirazi and Jadid (2019) MAS/FL Forecast (short term) #4 De Santis et al (2015), Dou and Liu (2014), El-Sharafy and Farag (2017), Meskina et al (2018), Ospina and Quijano (2016), Shirazi and Jadid (2018), Sekhavatmanesh and Cherkaoui (2018), Ren et al (2019), Tebekaemi and Wijesekera (2019) MAS/FL Multiobjective approach #5 Shum et al (2016), El-Ghareeb et al (2017), Kamdar et al (2018), Ghorbani et al (2015), Ji et al (2016), Sekhavatmanesh and Cherkaoui (2018), Shirazi and Jadid (2018), Shirazi and Jadid (2019), Abu-Elanien et al (2018), Zhu et al (2016) MAS/FL/ANN Speed (processing/reset) #6 El-Sharafy and Farag (2017), Jain et al (2018), Oliveira et al (2017), Xia et al (2014), Dou and Liu (2014), Sekhavatmanesh and Cherkaoui (2018), Shirazi and Jadid (2019), Ospina and Quijano (2016), Ren et al (2019) MAS/FL Demand response (load management, DES) #7 Xia et al (2014), Tebekaemi and Wijesekera (2019) MAS Provides attack security Fuzzy Logic (FL), Multi-Agent Systems (MAS), Artificial Neural Networks (ANN), Distributed Energy Storage (DES) The strongest relations found in the analysis are presented in table 5. The results demonstrated a strong relationship between a decentralized processing approach and the option to use multi-agents one.…”
mentioning
confidence: 99%
“…The mathematical programming is combined with the MAS [79]. In the MAS, feeder agents negotiate with each other to obtain a reduced model of the portion in the network involved in service restoration.…”
Section: ) Hybrid Methodsmentioning
confidence: 99%
“…Using the first set of constraints (21)-(24), the resulting changes from clustering are mapped on the reduced network to setup completely the corresponding configuration. For this aim, the current flow and active/reactive line flows are forced to be zero for de-energized lines according to (21) and (22). Moreover, the injected active/reactive power for unrestored loads is forced to be zero in (23).…”
Section: B Opf Constraintsmentioning
confidence: 99%