Open AccessDecentralised self‐healing model for gas and electricity distribution network
Author(s) -
Vazinram Farzad,
Effatnejad Reza,
Hedayati Mahdi,
Hajihosseini Payman
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.2019.0416
Subject(s) - electricity , self healing , electric power distribution , distribution (mathematics) , computer science , engineering , electrical engineering , medicine , mathematics , mathematical analysis , alternative medicine , pathology , voltage
With regard to the global environmental challenges, low cost of the natural gas and fast developing of new gas‐fired power generation technologies, conduce to unwanted integration of gas and electricity network. Moreover, one of the benefits of emerging distribution network as microgrids (MGs) would be self‐healing capability. So, in this research a model has been formulated as Mixed Integer Linear Programming (MILP) problem which determines optimally the power generation of micro turbines (MTs), Energy Storages (ESs) and Combined Heat and Power (CHP) units during the normal operation of MGs with consideration of combined gas and electricity network. In case of fault occurrence in MG/MGs and need to compensate the power generation shortage the model determines the power transferring rate of all MGs with normal operation mode, adjacent to the faulty MG/MGs, according to the cost‐based optimization. In critical situations load shedding procedure will be applied to the faulty MG/MGs. It would be considered that CHPs supply both heat and electricity loads and the remaining heat demands will be supplied by natural gas network. The proposed model has been applied to the test system with six MGs as three scenarios and also verified by applying to the network with 30 MGs.