Reconfiguration with Simultaneous DG installation to Improve the Voltage Profile in Distribution Network using Harmony Search Algorithm

S Muqthiar Ali,B Gurusekhar,P Suresh Babu

doi:10.11591/eei.v4i4.505

Abstract

Reconfiguration with Simultaneous DG installation to Improve the Voltage Profile in Distribution Network using Harmony Search Algorithm

Highlights

Real-time systems are vital to industrialized infrastructure such as command and control, process control, flight control, space shuttle avionics, air traffic control systems and mission critical computations [1]
Experiments and Discussion To illustrate the fuzzy approach and the contribution of this paper, examples implemented in [23] are repeated for the sake of qualitative comparison and other tasks have been performed to address the generalization of applying fuzzy logic as a scheduler approach and its capability to minimize the energy consumption of powered real time systems
The processor idle time is reduced from 33% in MS to 23% in fuzzy logic approach which reflects the improvements achieved in the system performance in addition to there is no deadline miss, the interval of S3 is reduced which in turn reduce the power consumption

Summary

Introduction

Real-time systems are vital to industrialized infrastructure such as command and control, process control, flight control, space shuttle avionics, air traffic control systems and mission critical computations [1]. Our motivation is to develop a fuzzy logic approach to reduce energy consumption by determining the appropriate supply-voltage/speed of the processor provided that timing constraints are guaranteed. A fuzzy scheduling approach to arrange real-time periodic and non-periodic tasks with reference to optimal utilization of distributed processors has been proposed [8]. Jejurikar and Gupta [15] have proposed two algorithms for scheduling fixed priority, Rate Monotonic (RM) scheduler, tasks using priority ceiling protocol (PCP) described in [16] as resource access protocol They have computed static slowdown factors which guarantee that all tasks will meet their deadlines taking into account the blocking time caused by the task synchronization to access shared resources. They have proposed an enhanced multi-speed (EMS) algorithm that further reduces the energy dissipation by considering only remaining blocking time to compute a lower speed

System Model

Fuzzy Inference Systems

Findings

Conclusion