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20202022
most citedNatural Gas Short-Term Operation Problem with Dynamics: A Rank Minimization Approach

27 citations · 73 across the 13 of their papers we have counts for

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9 papers · 1 filter

eess.SY2022

Coordinating Flexible Ramping Products with Dynamics of the Natural Gas Network

Reza Bayani, Saeed D. Manshadi

In electricity networks with high penetration levels of renewable resources, Flexible Ramping Products (FRPs) are among the utilized measures for dealing with the potential fluctua…

eess.SY2022★ 27 cited

Natural Gas Short-Term Operation Problem with Dynamics: A Rank Minimization Approach

Reza Bayani, Saeed D. Manshadi

Natural gas-fired generation units can hedge against the volatility in the uncertain renewable generation, which may occur during very short periods. It is crucial to utilize model…

eess.SY2021

Strategic Competition of Electric Vehicle Charging Stations in a Regulated Retail Electricity Market

Reza Bayani, Arash Farokhi Soofi, Saeed D. Manshadi

The increasing trend of transportation electrification presents investors the opportunity to provide charging services to Electric Vehicle (EV) owners via the energy purchased from…

eess.SY2021

Analyzing Power Quality Implications of High Level Charging Rates of Electric Vehicle Within Distribution Networks

Arash Farokhi Soofi, Reza Bayani, Saeed D. Manshadi

This paper investigates the impact of the charging level of high penetration level of Electric Vehicles (EVs) on the power quality of the electricity distribution network. The EV o…

eess.SY2021

Coordinated Scheduling of Electric Vehicles Within Zero Carbon Emission Hybrid AC/DC Microgrids

Reza Bayani, Arash Farokhi Soofi, Saeed D. Manshadi

Microgrids with AC/DC architecture benefit from advantages of both AC and DC power. In this paper, daily operation problem for a zero-carbon AC/DC microgrid in presence of electric…

eess.SY2020★ 1 cited

Learning the Gap in the Day-Ahead and Real-Time Locational Marginal Prices in the Electricity Market

Nika Nizharadze, Arash Farokhi Soofi, Saeed D. Manshadi

In this paper, statistical machine learning algorithms, as well as deep neural networks, are used to predict the values of the price gap between day-ahead and real-time electricity…

eess.SY2020★ 7 cited

Short-term Operational Planning Problem of the Multiple-Energy Carrier Hybrid AC/DC Microgrids

Reza Bayani, Mohammed Bushlaibi, Saeed D. Manshadi

In this paper, the short-term operation problem for a multiple energy carrier hybrid AC/DC microgrid is discussed. The hybrid microgrid consists of AC and DC parts, which are conne…

eess.SY2020★ 22 cited

Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability

Reza Bayani, Saeed D. Manshadi, Guangyi Liu +2

A total 19% of generation capacity in California is offered by PV units and over some months, more than 10% of this energy is curtailed. In this research, a novel approach to reduc…

eess.SY2020

Investigating the Impact of Electric Vehicles on the Voltage Profile of Distribution Networks

Arash Farokhi Soofi, Reza Bayani, Saeed D. Manshadi

This paper investigates the impact of high penetration of Electric Vehicles (EVs) on the distribution network in the presence of photovoltaic (PV) systems. Two models for EVs are p…