Open AccessOptimal operation and management of multi‐microgrids using blockchain technology
Author(s) -
Ghotbabadi Misagh Dehghani,
Dehnavi Saeed Daneshvar,
Fotoohabadi Hadi,
Mehrjerdi Hasan,
Chabok Hossein
Publication year - 2021
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/rpg2.12238
Subject(s) - microgrid , reliability (semiconductor) , heuristic , computer science , energy management system , reliability engineering , constraint (computer aided design) , transformation (genetics) , mathematical optimization , wind power , energy management , energy (signal processing) , engineering , power (physics) , mathematics , mechanical engineering , statistics , physics , biochemistry , control (management) , chemistry , electrical engineering , quantum mechanics , artificial intelligence , gene
This paper tries to address the optimal operation of networked microgrid from the reliability perspective in a correlated atmosphere for the wind generators. The suggested approach performs based on unscented transformation in the form of a nonlinear projection and the heuristic method as the optimizer. The proposed structure is arranged as a complex constraint optimization problem with several targets seeing the varied objectives such as energy not supplied, system interruption frequency, system interruption duration and energy losses. Owing to the interrelated natural surroundings of multi‐microgrids, it is a necessity for the microgrids to let the each other access the operation info and with the central unit. In this situation, it is quite wise to provide a secured construction made of the blockchain for the assurance of the reliability and adequate security of data sharing in the microgrids. With the aim of validation of the proposed model, an IEEE standard system is considered and divided into four interrelated microgrids with one side connection to the main grid. The simulation results show the high capability of the proposed framework for enhancing the operation and reliability indices. Moreover, it is seen that almost 0.6% and 0.77% additional cost is imposed to the system in the deterministic framework in the first and second scenarios, respectively.