Open AccessOptimal operation of hybrid microgrids for enhancing resiliency considering feasible islanding and survivability
Author(s) -
Hussain Akhtar,
Bui VanHai,
Kim HakMan
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2016.0820
Subject(s) - islanding , survivability , blackout , dispatchable generation , reliability engineering , scheduling (production processes) , computer science , power system simulation , distributed power generation , engineering , control theory (sociology) , electric power system , power (physics) , distributed generation , control (management) , operations management , electrical engineering , renewable energy , physics , quantum mechanics , artificial intelligence
Microgrids have the capability to enhance the resiliency of power systems by supplying local loads during emergency situations. However, the disturbance incident and clearance times cannot be predicted precisely. Therefore, this study is focused on enhancing the resiliency of hybrid microgrids considering feasible islanding and survivability of critical loads. The optimisation problem is decomposed into normal and emergency operation problems. In normal operation, unit commitment status of dispatchable generators and schedules of batteries are revised to ensure a feasible islanding following a disturbance event. In emergency operation, the decision between charging of batteries for future dispatch and feeding of lesser critical loads is considered. In addition, a strategy for minimisation of load curtailment during switching of scheduling windows is also considered. These two considerations can mitigate the curtailment of critical loads during the emergency period. Finally, a resiliency index is formulated to evaluate the performance of the proposed strategy during emergency operation. Numerical simulations have demonstrated the effectiveness of the proposed strategy for enhancing the resiliency of hybrid microgrids.