|
Abstract
|
Currently the number of Microgrids (MGs) is continuously increased in
distribution network. In this view, the future advanced distribution network can be
regarded as clusters of MGs. Hence the MGs is the building blocks of smart
distribution networks. There are many technical, economic and social reason for
MGs implementation. One of the main advantages of MGs is the ability to
encounter with abnormal conditions in the network such as occurrence of natural
disasters with island operation capability. Based on the above discussion, the
problem of optimal planning of distribution network based-on MGs is an interesting
topic. In this chapter the optimal MG-based smart distribution grid planning
problem is formulated and tested on a planning area. While the natural disasters are
low probability and high impact phenomena, there are not enough historical data to
extract an accurate component failure model. In this chapter the initial geographical
area of MGs is supposed as input data in a large scale Greenfield study area and
based on the resiliency constraints and index, the optimal configuration of total
distribution network including MGs is determined. The distribution network configuration is planned such that all MGs meet the predefined requirement based on
definition and supply the predefined critical loads within each MGs. In this work the
optimal size and site of network elements and its configuration is determined by amulti-objective optimization algorithm. The effect of the natural disasters on resilient MG-based distribution network planning, the geographical data for disasters is
modelled to give a geographical map that joins the spatial risk index with distribution network component location. The main goal of this work is to propose a
framework for optimal MG-based resilient distribution networks.
|