Ali Abbaspour

TL;DR: In this paper, a general optimization and modeling framework for coupled power flow studies on different energy infrastructures is proposed, which decomposes the multi-carrier optimal power flow problem into its traditional separate OPF problem in such a way that the major advantages of simultaneous analysis of MCE systems would not be sacrificed.

TL;DR: In this article, a probabilistic online economic dispatch (ED) optimization model for multiple energy carriers (MECs) is proposed, which is treated via a robust optimization technique, namely, multiagent genetic algorithm (MAGA), whose outstanding feature is to find well the global optima of the ED problem.

TL;DR: A new multi-objective (MO) optimization transmission expansion planning algorithm considering wind farm generation is presented in this two-paper set.

TL;DR: The results indicated that the street dust from natural and industrial areas had almost the same particle size distribution, both containing higher percentage of coarse-sized particles than the soil, which means that the industrial activities only affected the size dependency of the concentration of certain elements in the street Dust, but not in the soil.

TL;DR: In this article, the authors developed a new framework to coordinate the charging process of plug-in hybrid electric vehicles (PHEVs) in the context of energy hubs, which is focused not only on the impact evaluation of PHEVs on the system technical performance, but also customers' preferences on the charging patterns.