Open AccessService restoration of active distribution systems with increasing penetration of renewable distributed generation
Author(s) -
Koutsoukis Nikolaos C.,
Georgilakis Pavlos S.,
Hatziargyriou Nikos D.
Publication year - 2019
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.2018.6153
Subject(s) - renewable energy , computer science , distributed generation , integer programming , tap changer , linear programming , mathematical optimization , exploit , service (business) , operations research , reliability engineering , engineering , computer network , electrical engineering , computer security , business , mathematics , marketing , voltage , transformer
The increasing penetration of renewable generation poses several challenges to the operation of distribution networks under emergency conditions. This study proposes a service restoration method that exploits active management of the distribution network. The proposed active network management (ANM) method considers the coordinated control of the available switches, distributed generation, and the operation of on‐load tap changer (OLTC) to determine the optimal service restoration plan. The objectives of the proposed model are the minimisation of (i) the out of service area considering customer priorities, (ii) the number of switch operations, (iii) the number of tap changes of the OLTC, and (iv) the injected power from the substations considering the variation of load demand and renewable generation. The service restoration problem is formulated as a mixed‐integer second‐order cone programming problem, which is efficiently solved by commercial branch and bound solvers. Results on a 135‐bus distribution system and a 540‐bus distribution system highlight the importance and the benefits of incorporating ANM into the solution of the service restoration problem.