Optimal rooftop photovoltaic system placement to minimize monthly used energy costs for households in vietnam’s cities and towns

Anotace: This study presents a strategy to stop paying monthly used energy costs for households in Vietnam’s cities and towns. To get there, the total energy cost acquired from the utility grid must equal the total extra energy supplied to the grid. However, the optimal rated power of the rooftop photovoltaic system (RPV) must first be determined. Two meta-heuristic algorithms, including the Coati optimization algorithm (COA) and the Osprey optimization algorithm (OOA), are implemented to solve the problem. The results obtained by the two algorithms are compared using different criteria. Through these comparisons, OOA completely outperforms COA regarding solution quality and stabilization. By using the solution found by OOA, RPV not only fulfils the household's needs but also reduces the electric energy cost to zero. While evaluating a five-year operation period, the household can get the benefit of $3,635.64. So, using the RPV is very effective for reaching both economic and environmental benefits.