Armin Ghasem Azar

PhD Student

Armin Ghasem Azar
See relations at Aarhus University


Project title: Scalable Energy Management Infrastructure for Aggregation of Households

Project period: 01/09/2014 to 31/08/2017

Main supervisor: Assoc. Prof. Rune Hylsberg Jacobsen

Research section: Electrical and Computer Engineering

Project description

The current structure of the electrical grid is ineffective in responding to the growing demand for electricity. The smart grid aims to revolutionize this structure by increasing the use of Information and Communication Technology (ICT) to improve its reliability and efficiency. Demand response system is a promising solution to mitigate this challenge, particularly at peak periods.

This project aims to achieve technological and scientific successes by developing a novel ICT-driven infrastructure for the implementation of demand response in households. This infrastructure enables electricity consumers to play a significant role in the operation of the electric grid by shifting their high energy-consuming loads from peak to off-peak periods in response to various incentives. To this end, the chief purpose of this project is trying to develop a novel, robust, and optimal load scheduling model for heterogeneous households, where the aggregator system will manage and schedule a large number of load schedulable appliances in real-time

On the one hand, the scheduling strategy needs to take into account various household and grid stability constraints. On the other hand, trying to optimize miscellaneous conflicting objectives of households and the distribution system operators at the same time makes the load scheduling challenge a multi-objective optimization problem. Here, the main question is how much and when the power consumption should be shifted regarding the inclusion of scalable and diverse-characteristic householders, different appliance types, and dynamic energy price strategies. Answering this question helps the householders benefit financially and the aggregator balance the system optimally in specific time resolutions.


Armin Ghasem Azar received the Bachelor’s degree (2011) in Computer Science from University of Tabriz in Iran, based on a research on security issues in the ad-hoc networks. He obtained his Master’s degree (2014) in Computer Science from the Institute for Advanced Studies in Basic Sciences (IASBS) in Iran. He conducted a research on “Resource Allocation Problem in the Market-based Smart Power Grids”. Currently, he is pursuing his PhD degree in the Communications Systems Group in the Department of Engineering at Aarhus University in Denmark. His research areas of interest include the Smart Power grid, Demand Response Optimization, Electricity Markets, Multi Agent Systems, and Evolutionary Computation.

View all (16) »

View all (11) »

ID: 79637458