FPGA Implemented Fuzzy Logic Based Intelligent Load Management System

Abstract

ABSTRACT Power management is a very important aspect of any network. With power management, the capacity, the throughput and battery lifetime could be increased, and latency could be reduced. But all of these advantages may be hindered depending on the power management employed and depending on the network configuration. The issues and advantages involved in the design of power control and management schemes along with a novel approach to power management by utilizing modern control theory to achieve the low-level power control. Captive power refers to electric power generation from a unit set up by an organization for its exclusive consumption. A number of organizations are now increasingly relying on their own generation rather than on grid supply primarily for the reasons of inadequate grid supply as well as its poor quality and reliability. The use of captive power is on the rise across the globe and most of the practical power plants are run sub-optimally by operators. This calls for low-cost dedicated automatic controllers for the efficient management of captive power. Traditionally, the operation and management of Diesel Generator (DG) sets in captive power plants is done manually. Experienced though, the plant operators are prone to all the pitfalls of manual control, and typically their inadequate decisions may not only lead to inefficient use of available captive power but also create dissatisfaction among its users. To obviate such shortcomings, it is natural to conceive concept of Fuzzy Logic System for such applications, which is capable of taking adequate decisions for the efficient management of captive power, as per the rule base suggested by expert opinions of the experienced D. G. Set operators.