Optimal Sizing and Siting of Renewable Energy Sources in a ADN Using Meta-Heuristic Algorithms Considering Participation in Energy Market and Resources Uncertainty
Hossein Kiani, Seyed Hossein Hosseinian, Amir Khorsandi · 2025
Renewable distributed generation (DG) sources have the potential to provide clean and intelligent power solutions to meet the growing energy demand. Solar and wind energy, which are prominent examples of renewable DG, offer both cost-effective and environmentally friendly energy generation. In this article to determine optimal sizing and siting of renewable energy systems (RES) in the concept of DG in an active distribution network (ADN). A new method for locating and determining the size of dgs is proposed in this study to deal with high influence of RES, which is implemented by MATLAB software. In this framework, photovoltaic panels (PV) and wind turbines (WT) have been used as DG sources, which are optimized based on the proposed algorithm, and the results before and after the involvement of DGs in the energy market are evaluated by GAMS software. Also, for accuracy in the calculations related to the overall cost of DGs, the economic parameter of CRF has also been used. The results show a 55% reduction in the cost of energy purchased from the grid and a 40.26% reduction in greenhouse gases (GHG) emissions in the scenario of with DG relative to scenario without DGs. In this regard, the amount of losses has been reduced by 14.5% relative to the scenario without DG. Furthermore, the sensitivity analysis highlighted the significant effect of DG installation on different ADN components in the optimization model.