A novel approach for sizing battery storage system for enhancing resilience ability of a microgrid

Abstract

The deployment of battery energy storage systems (BESS) can provide numerous benefits including increased renewable energy penetration, improvements in power quality and reliability, reduction of demand peaks, and reduced greenhouse gas (GHG) emissions. During the implementation of BESS, one of the most crucial factors is to determine the optimal size of the BESS to permit the balance between the technical characteristics of the BESS and the additional overall cost including the economic operation of the microgrid (MG). Therefore, the optimal sizing of the BESS allows the storage of sufficient power during the change of dispatch from the distributed energy resources (DERs) or in critical events such as natural disasters. The proposed framework determines the optimal size of the BESS based on forecasting the natural disasters or the outage cases, to enhance the reliability and economic operation of the MG. In this study, two stages are proposed to determine the optimal size of BESS in the MG. The first stage is the forecasting stage, which predicts the location of the outage or the faults that may occur. In the second stage, obtain the optimal size of the BESS to minimize the total operation cost for an economic operation of the MG. The teaching-learning-based optimization (TLBO) combined with quadratic programming (QP) is applied to solve the proposed objective formulation

A Chameleon algorithm for solving economic dispatch problem in microgrid system

“…Three two PV plants, traditional diesel generators, and a CHP system are the DER investigated in this work. The load structure and test feeder were created using ref [35], [36].…”

Comparative analysis of grid-connected bifacial and standard mono-facial photovoltaic solar systems

“…However, the bifacial solar power plant has an estimated total power output of around 1.507 MW which is around 23% more than a mono-facial solar power plant. Both types of PV systems were set to have the same ground albedo of 20%, tilt angle of 15° and azimuth angle of 0° [45]. Table 1 shows the specifications of the modules for bifacial solar and mono-facial solar modules.…”

A proton-exchange membrane fuel cell and ultra-capacitor system model for stand-alone residential applications

“…Energy consumption per capita has been increasing steadily in Malaysia over the past 40 years , which is from 0.395-1.793 Mtoe/Millions, and it is expected to rise in the upcoming years [1], [2]. The increase in energy consumption is affected by high population growth and is stated based on [3], [4].…”