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Abstract
Numerous investigations have been carried out to evaluate microgrid optimal configuration. The main goal of this research is evaluating the positive effect of private investor that contributes in the MG configuration in the planning horizon. The MG operator and private investors are the owners of combined heat and power and intelligent parking lot, respectively. The optimization problem was modeled as a two-objective function. For comprehensive evaluation of the planning problem, reliability indices are considered as problem constraints. To show the effects of demand side management in reducing operational costs, several types of demand response programs are used. In the first stage, a bi-objective function is converted to a single objective function by utilizing the weighted sum technique and in the second stage, the best solution is chosen among all Pareto solutions employing max–min fuzzy decision-making method. To reduce problem complexity, SCENRED tools of GAMS software are used to reduce the number of scenarios. The results revealed that in TOU-based DRP, the total cost of MGO and private investor are reduced by 4.28%, 2.67%, respectively.
Additional information
Notes on contributors
Mehrdad Hajizadeh
Mehrdad Hajizadeh received his BSc in electric power engineering from the University of Power and Water University of Technology, Tehran, Iran and MSc degree from Islamic Azad University Science and Research Branch, Tehran, Iran in 2001 and 2014, respectively. He is currently pursuing the PhD degree at electric power engineering of Islamic Azad University Semnan, Iran. His major research interests include operation and planning study of microgrids. Email: [email protected]
Gevork B. Gharehpetian
G B Gharehpetian graduated with first class honours. He received PhD degree in electrical engineering in 1996 from Tehran University, Tehran, Iran. As a PhD student, he received scholarship from DAAD (German Academic Exchange Service) from 1993 to 1996 and he was with High Voltage Institute of RWTH Aachen, Aachen, Germany. He has been assistant professor at AUT from 1997 to 2003, associate professor from 2004 to 2007 and has been professor since 2007. He was selected by the MSRT (Ministry of Science Research and Technology) as the distinguished professor of Iran, by IAEEE (Iranian Association of Electrical and Electronics Engineers) as the distinguished researcher of Iran, by Iran Energy Association (IEA) as the best researcher of Iran in the field of energy, by the MSRT as the distinguished researcher of Iran, by the Academy of Science of the Islamic Republic of Iran as the distinguished professor of electrical engineering, by National Elites Foundation as the laureates of Alameh Tabatabaei Award and was awarded the National Prize in 2008, 2010, 2018, 2018, 2019 and 2019, respectively. Based on the Web of Science database (2005–2019), he is among the world’s top 1% elite scientists according to ESI (Essential Science Indicators) ranking system. He is the author of more than 1200 journal and conference papers. His teaching and research interests include smart grid, microgrids, FACTS and HVDC systems, monitoring of power transformers and its transients.
Saeid Gassem Zadeh
Saeid Gassem Zadeh was born in Tabriz. He received the PhD degree in electrical engineering from the University of Tabriz, in 2009. In 1988, he joined the University of Tabriz, Tabriz, Iran. He is an associate professor in the Department of Electrical Engineering. His research interests include renewable energy systems, reactive power control, renewables for power generation, power system planning, power converters, demand side management and renewable flexible dispersed generation. Email: [email protected]
Mohammad Tolou Askari
Mohammad Tolou Askari received PhD degree in power electrical engineering from the University Putra Malaysia in 2004. Currently, he is a senior lecturer in the Department of Electrical and Electronics Engineering, Faculty of Engineering, Islamic Azad University (Semnan Branch). His research interests include electrical transformers, smart grids, microgrids, GEP & TEP and distribution systems. Email: [email protected]