Open AccessFramework of intentional islanding operation of active distribution network based on self‐healing perspective
Author(s) -
Oboudi Mohammad Hossein,
Hooshmand RahmatAllah,
Faramarzi Farshad,
Amroony Boushehri Mohammad Javad
Publication year - 2018
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.2017.0488
Subject(s) - islanding , mathematical optimization , computer science , integer programming , power flow , monte carlo method , reliability engineering , linear programming , reliability (semiconductor) , electric power system , power (physics) , engineering , algorithm , mathematics , statistics , physics , quantum mechanics
Intentional islanding operation (IIO) is a feasible solution to improve the reliability of active distribution network (ADN) by supplying critical loads through the local DG when a fault occurs. Aiming at this goal, a new two‐stage methodology is proposed to supply critical loads based on cost‐effective improvement. In the first stage, the interruption cost is proposed as the load priority and the ON/OFF status of switches are considered as the binary decision variables. Therefore, IIO is considered as a mixed integer linear programming (MILP) problem to minimise the interruption cost. At the second stage, the power flow calculation is performed on the initial islands for the real‐time operation. The proposed method can be utilised for both long‐ and short‐term studies. In the long‐term study, the inherent uncertainty of ADN is considered in MILP by using a Monte‐Carlo simulation. This concept is used for clustering ADN into self‐sufficient microgrids. Moreover, by taking a snapshot of the ADN status and performing operational feasibility, the proposed method can be considered as a real‐time power regulation method. The proposed methodology is implemented on the IEEE 33‐bus distribution network, and the results are discussed in detail.