Design and Development of Adaptive Fuzzy Control System for Power Management in Residential Smart Grid Using Bat Algorithm

Abstract

An adaptive fuzzy logic control system was designed for the management of power in smart grid. The system was developed using BAT algorithm. This paper analyses the approach of adaptive fuzzy logic system accompanied with bat algorithm in power management of smart grid. The path of carrying information i.e. communication layer between users and the energy provider in smart grid is analyzed. To achieve this, behavior of bats and its algorithm is studied and compared with vectors in adaptive fuzzy logic system and applied in power utility side of smart grid. It helps in indicating peak in load and also helps in prediction of power consumption in users. The offline algorithm is developed, simulated using Matlab 16a and simulation results are evaluated.

An IOT ‐based efficient energy management in smart grid using SMACA technique

“…In the modern world, requirements for low power and embedded systems, sensors have maximized exponentially 1 . Wireless sensors are used in various zones such as medical monitoring of the health, agriculture, engineering, automotive, and environmental monitoring 2 .…”

“…In the modern world, requirements for low power and embedded systems, sensors have maximized exponentially. 1 Wireless sensors are used in various zones such as medical monitoring of the health, agriculture, engineering, automotive, and environmental monitoring. 2 Sensors in medical health system are used for remotely monitor the conditions of patients and transferring the state of health of the patient signals to the entity concerned.…”