Arash Asrari

TL;DR: In this article, the authors investigated the feasibility of adding renewable energy sources to the current utility grid power supply in Sheikh Abolhassan to achieve a more economical and environmentally friendly system.

TL;DR: A day-ahead market framework for congestion management in smart distribution networks provides a platform for collaboration between distribution-level market operator and data traffic operator to alleviate congested feeders such that data transmission traffic between market participants is effectively managed in a smart grid.

TL;DR: A hybrid forecasting algorithm is proposed for hour-ahead solar power prediction using a combination of gradient-descent optimization and meta-heuristic optimization approaches to take into account the prediction accuracy as well as the computational burden.

TL;DR: In this article, the feasibility of stand-alone hybrid PV-diesel energy systems for electrification of remote rural areas in eastern part of Iran where 5kW/h/m 2 solar radiation per day is a common feature through simulations based on HOMER software, a comprehensive comparative analysis among potential configurations of a system best suited to meet the needs of isolated Iranian communities is presented.

TL;DR: The proposed hybrid optimization algorithm combines the concept of fuzzy Pareto dominance with shuffled frog leaping algorithm (SFLA) to recognize optimal nondominated solutions identified by SFLA and significantly increases the convergence speed of the algorithm.