Increase Microgrid's Consumer Comfort by Using Fuzzy and Optimization Algorithms


  • Zeinab Khalilian Universitr Of Applied Sience And Technology.CenterOf(JahadDaneshgahi),Ahwaz,Iran
  • Ahmad MokhtarBand Department Of Electrical Engineering,ShahidTondgooyan Petrochemical Company, Mahshahr,Iran


Energy management, intelligent control, Microcontrollers, Microgrids, Multi-agent systems


Whereas the most important fundamental factor for today’s human is energy and wasting energy leads to increasing costs and destruction of natural resources, it is attempted through using modern and electronic methods to optimize the energy consumption and preventing of wasting energy. According to technological advancements and level of knowledge of people and having different electronic means, it is applied from several methods including: wireless sensor networks at home automation, energy management system, BEMS system and intelligent electrical keys on building to respond the requirements of users that leads to comfort of users, reducing costs, optimization of energy consumption and prevention of wasting energy. In this article, it is benefit from intelligent control methods by using optimization algorithms (PSO & GA) and fuzzy logic for controlling energy of building in order to obtain the maximum welfare and comfort of inhabitants in a building using from new pneumatic and solar recyclable resources. In order to show this performance, it is benefit from simulation at MATLAB environment.


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How to Cite

Khalilian, Z. ., & MokhtarBand, A. . (2021). Increase Microgrid’s Consumer Comfort by Using Fuzzy and Optimization Algorithms. American Scientific Research Journal for Engineering, Technology, and Sciences, 75(1), 149–166. Retrieved from