Open AccessRisk‐based reconfiguration of active electric distribution networks
Author(s) -
Miri Larimi Sayyed Majid,
Haghifam Mahmoud Reza,
Moradkhani Amin
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.0777
Subject(s) - control reconfiguration , reliability (semiconductor) , reliability engineering , computer science , reduction (mathematics) , mathematical optimization , particle swarm optimization , power (physics) , engineering , mathematics , embedded system , algorithm , physics , geometry , quantum mechanics
One of the most significant tasks for loss reduction and reliability improvement in active distribution networks is feeder reconfiguration. Uncertainty associated with load, generation and reliability parameters in active distribution network requires distribution system operators (DSOs) to consider risk management in distribution network reconfiguration. On the other hand, by employing several forms of reward/penalty schemes in active distribution networks, DSOs have been exposed to financial risk for providing reliable service to the customers. In such circumstance, DSOs can do network reconfiguration in a way that the minimum cost can be spent in the minimum risk. This study presents risk‐based reconfiguration of electric distribution networks in presence of reward/penalty scheme with considering load and generation uncertainty. Scenario theory and particle swarm optimisation are used for risk modelling and optimisation problem solving, respectively. To verify the proposed method, it was implemented in a real distribution network.