Amir H. Hajimiragha

TL;DR: The major issues and challenges in microgrid control are discussed, and a review of state-of-the-art control strategies and trends is presented; a general overview of the main control principles (e.g., droop control, model predictive control, multi-agent systems).

TL;DR: In this paper, definitions and classification of microgrid stability are presented and discussed, considering pertinent microgrid features such as voltage-frequency dependence, unbalancing, low inertia, and generation intermittency.

TL;DR: The results of this paper demonstrate that the present and projected electricity grid in Ontario can be optimally exploited for charging almost 6% of the total vehicles in Ontario or 12.5%" of the vehicles in Toronto's transport sector by 2025; this corresponds to approximately 500 000 PHEVs that can be charged from the grid without any additional transmission or power-generation investments beyond those currently planned.

TL;DR: In this article, a complex network of energy hubs is modeled and optimized under different scenarios to examine both the financial viability and potential reduction of greenhouse gas emissions, and two case studies consisting of two and three energy hubs within a network are considered.

TL;DR: The study investigates the optimal operation of different energy conversion and storage technologies in order to meet the demand of energy and showed that distributed hydrogen generation is more preferable than H2 delivery in environmental and economic comparison.