Design of Power Grid Flexible Planning Algorithm Based on Deep Learning
Author:
Affiliation:
1. State Grid Xinjiang Electric Power Co, LTd,Urumqi,Xinjiang,China,830063
2. State Grid Urumqi Electric Poer Supply Company,Urumqi,Xinjing,China,830011
3. State Grid Xinjiang Economic Research Institute,Urumqi,Xinjiang,China,830011
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10539644/10539645/10539659.pdf?arnumber=10539659
Reference12 articles.
1. Innc method applied to multi-objective reactive power optimization in ac/dc interconnected power grid;Li,2014
2. Multi-objective optimization of combined heat and power microgrid considering pollutant emission;Gu;Dianli Xitong Zidonghua/Automation of Electric Power Systems,2012
3. Multi-objective micro-grid planning by NSGA-II in primary distribution system
4. Probabilistic multi-objective microgrid planning methodology for optimizing the ancillary services provision
5. Optimal vehicle to grid planning and scheduling using double layer multi-objective algorithm
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