Stochastic Optimal Selection and Analysis of Allowable Photovoltaic Penetration Level for Grid-Connected Systems Using a Hybrid NSGAII-MOPSO and Monte Carlo Method
No Thumbnail Available
Date
2023-03-27
Journal Title
Journal ISSN
Volume Title
Publisher
Hindawi
Abstract
Generally, the main focus of the grid-linked photovoltaic systems is to scale up the photovoltaic penetration level to ensure full
electricity consumption coverage. However, due to the stochasticity and nondispatchable nature of its generation, significant
adverse impacts such as power overloading, voltage, harmonics, current, and frequency instabilities on the utility grid arise.
These impacts vary in severity as a function of the degree of penetration level of the photovoltaic system. Thus, the design
problem involves optimizing the two conflicting objectives in the presence of uncertainty without violating the grid’s
operational limitations. Nevertheless, existing studies avoid the technical impact and scalarize the conflicting stochastic
objectives into a single stochastic objective to lessen the degree of complexity of the problem. This study proposes a stochastic
multiobjective methodology to decide on the optimum allowable photovoltaic penetration level for an electricity grid system at
an optimum cost without violating the system’s operational constraints. Five cutting-edge multiobjective optimization
algorithms were implemented and compared using hypervolume metric, execution time, and nonparametric statistical analysis
to obtain a quality solution. The results indicated that a Hybrid NSGAII-MOPSO had better convergence, diversity, and
execution time capacity to handle the complex problem. The analysis of the obtained optimal solution shows that a practical
design methodology could accurately decide the maximum allowable photovoltaic penetration level to match up the energy
demand of any grid-linked system at a minimum cost without collapsing the grid’s operational limitations even under
fluctuating weather conditions. Comparatively, the stochastic approach enables the development of a more sustainable and
affordable grid-connected system.
Description
This article is published by Hindawi 2024 and is also available at https://doi.org/10.1155/2023/5015315
Keywords
Citation
Ali Abubakar et al