Optimal Eco-Emission Scheduling of Demand and Supply Side of Microgrids Using Multi-Objective Ant Lion Optimization and Fuzzy Decision-Making

Abstract

One of the important approaches in demand-side management is shifting energy usage from on-peak time to the other periods considering the financial conditions, which is known as a demand response program. To reduce the environmental concerns, energy policymakers have proposed to use renewable energy resources as clean energy and alternative source to fossil fuels. The wind turbine and photovoltaic panel are used as renewable sources of the microgrid (MG). Demand response programs, including the time of use and critical peak price, are employed by the MG. The profit of the operator of MG from selling the electricity and the produced pollutant gasses of all energy sources are the considered objective functions of the demand-side management problem. The multi-objective ant lion optimizer is used to optimize the indices of the MG and create the optimal Pareto-front. After applying the multi-objective optimization algorithm, the Fuzzy method is used to select the best particle equal to the optimal operational schedule of energy sources and the load pattern of the MG. Ultimately, the proposed method is applied to optimize a sample MG. Results show that the proposed method improves the grid efficiency by optimizing the renewable units and battery.

Keywords:

• demand-side management
• demand response
• energy storage system
• multi-objective ant lion optimizer
• photovoltaic panel
• wind turbine

Additional information

Notes on contributors

Mehrdad Hajizadeh

Mehrdad Hajizadeh received his BSc in Electric Power Engineering from 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 working towards the PhD degree at Electric Power Engineering of Islamic Azad University Semnan, Iran. His major research interests include: operation and planning study of microgrids.

G. B. Gharehpetian

G. B. Gharehpetian received PhD degree in Electrical Engineering in 1996 from Tehran University, Tehran, Iran, graduating with First Class Honor. As a PhD student, he has 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 holding the Assistant Professor position at AUT from 1997 to 2003, the position of 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 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.

Saeed Ghassemzadeh

Saeed Ghassemzadeh was born in Tabriz. He received the Ph.D. degree in Electrical Engineering from University of Tabriz, in 2009. In 1988, he joined the University of Tabriz, Tabriz, Iran, where since 1995, he has been an assistant 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.

Mohammad Tolou Askari

Mohammad Tolou Askari received Ph.D. degree in Power Electrical Engineering from 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, micro grids, GEP & TEP, and distribution system.