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Ehsan Heydarian-Forushani

Researcher at Isfahan University of Technology

Publications -  65
Citations -  1662

Ehsan Heydarian-Forushani is an academic researcher from Isfahan University of Technology. The author has contributed to research in topics: Demand response & Wind power. The author has an hindex of 18, co-authored 46 publications receiving 1187 citations. Previous affiliations of Ehsan Heydarian-Forushani include University of Qom & Iran University of Science and Technology.

Papers
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Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review

Hassan Haes Alhelou, +4 more
- 20 Sep 2018 - 
TL;DR: This paper presents a comprehensive literature survey on the topic of LFC, and investigates the used LFC models for diverse configurations of power systems and proposes proposed control strategies for LFC for both conventional and future smart power systems.
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Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents

Miadreza Shafie-khah, +6 more
- 01 Nov 2016 - 
TL;DR: A model is developed to derive optimal strategies of parking lots, as responsive demands, in both price-based and incentive-based demand response programs (DRPs), and indicates that the PEV parking lots can benefit from the selective participation in DRPs.
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Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects

M. Di Somma, +4 more
- 01 Feb 2018 - 
TL;DR: In this article, a stochastic multi-objective linear programming problem is formulated to find the optimized operation strategies of the DER system to reduce the expected energy costs and CO2 emissions, while satisfying the time-varying user demand.
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Risk-Constrained Offering Strategy of Wind Power Producers Considering Intraday Demand Response Exchange

Ehsan Heydarian-Forushani, +4 more
- 09 Jun 2014 - 
TL;DR: In this paper, a comprehensive stochastic decision-making model for wind power producers' participation in a competitive market is proposed, which incorporates three trading floors: 1) day-ahead, 2) intraday, and 3) balancing markets.
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Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainability

Miadreza Shafie-khah, +9 more
- 15 Jan 2016 - 
TL;DR: In this paper, a multi-stage stochastic model of a PEV aggregation agent to participate in day-ahead and intraday electricity markets is proposed, which reflects several uncertainties such as the behaviour of PEV owners, electricity market prices, and activated quantity of reserve by the system operator.