Reza Kiani, Dr. Fatemeh Jahanbani, Dr. Mohammad Reza Mazidi,
Volume 21, Issue 4 (JIAEEE Vol.21 No.4 2024)
Abstract
With the increasing penetration of distributed generation resources (DERs) in distribution networks, the strategic placement of these resources has garnered increased attention. Due to the uncertain power generation of renewable based DERs, it is necessary to use stochastic models. Additionally, in recent years, due to the rise in the occurrence of weather-related disasters such as hurricanes and floods, leading to serious damages to power grids, the necessity of considering methods to mitigate these damages in installation planning has become crucial.
This study introduces a comprehensive model for optimizing the deployment of distributed renewable (solar and wind) and non-renewable (diesel generator) generation resources, accompanied by energy storage systems (batteries), network reinforcement, and equipment upgrades to enhance its resilience against two specific weather events: hurricanes and floods. The model is applied to the IEEE standard 33-bus network. The planning problem is defined as a costs function while considering the environmental constraints. The optimization problem is structured as a probabilistic programming model and solved using the CPLEX solver in the GAMS software.
The results obtained from case studies on the IEEE standard 33-bus network demonstrate the efficiency of the proposed model in minimizing costs and increasing system resilience.
