In this paper, we propose a multi-objective optimization model that considers the loss of load probability (LLP) and the cost of energy (COE) together with the battery life loss cost and the costs of operation, r.
What is battery energy storage (BES)?
Battery energy storage (BES) is an essential part of the SSPVB system as it maintains the continuity of the electrical energy produced. Many types of battery technologies are appropriate for use in standalone solar PV applications such as lead–acid, nickel cadmium, sodium (sulfur), lithium-ion, and sodium (nickel chloride) batteries.
Can grid-connected solar PV improve the lifecycle of a battery?
They proposed a strategy for influencing the end-user behavior and boosting the PV size to decrease the annual capacity shortage and improve the lifecycle of the battery. In, the authors investigated the economic viability of residential battery storage systems with respect to grid-connected solar PV and battery optimization.
What is the optimal battery depth of discharge in a solar PV system?
The objective of this research was to achieve the most optimal battery depth of discharge based on the characteristics of a cycling battery in an SSPVB. The results indicate that the optimal DOD value for the battery in the solar PV system being investigated is 70%, with LLP = 0% and COE = 0.20594 USD/kWh.
What is the optimal model for battery charging & discharging?
The proposed model includes the depth of discharge (DOD) of the battery, which is determined based on the battery life loss cost. In addition, in the optimal model, the amount of energy flow from the battery bank during the charging and discharging cycles must satisfy the load demand at the lowest cost and with the highest reliability.
What is a standalone solar PV/battery (sspvb) system?
The standalone solar PV/battery (SSPVB) system is becoming a popular option for providing electrical power to isolated areas. Battery energy storage (BES) is an essential part of the SSPVB system as it maintains the continuity of the electrical energy produced.
How can NSGA-II improve battery performance and minimize energy production cost?
To improve the system performance and minimize the energy production cost, we use the NSGA-II algorithm to perform multi-objective optimization to find the optimal values of LLP and COE in a techno-economic analysis that considers battery behavior, life loss cost of the battery, and the costs of operation, replacement, and maintenance.