Multiobjective Optimization Approach In Hybrid Distributed Generation System

Abstract

The worldwide climate change and fast growing population over the past years are creating newlinea huge burden on conventionally available energy sources. As a global environmental concern, it newlineis utmost important to carry out proper planning for utilizing renewable sources for a positive newlineeffect in reducing global warming. Still, most of the electricity supplied to remote regions by newlinecentralized power generation. Such remote regions are far away from the place of generations. newlineApproximately 10% of electricity wastage occurs before it reaches to power consumers. An newlineaverage of one-third of electricity cost is pertinent to the network of transmission and distribution newlinesystems. To provide an optimized solution for above problems, this research proposes a newlinemethodology for optimal planning of standalone off grid system. The mathematical model using newlinespecific algorithm developed for proper power management operating strategy. Further newlineoptimization methods applied for technically economic analysis of standalone system in remote newlineoff-grid areas in Indian scenario. Proposed system consists of renewable system components in newlinehybrid combinations. newlineThe proposed hybrid renewable energy system includes solar system, battery, wind newlinegenerator and diesel generator in standalone system for off-grid region. The proposed research newlineprovides a multi-objective optimized solution of the hybrid renewable system by using PSO newlinetechnique for different hybrid system combinations. The proposed methodology shows better newlineoutcomes with application of multi-objective optimization criteria such as cost optimization, cost newlineof emission, probability of power supply failure, renewable energy factor, fuel consumption with newlinecontent of emission for different hybrid system combinations. In this manner reducing use of fuel newlineconsumption, it reduces the emission of greenhouse gases and global warming effect. Thus, the newlineproposed model shows that maximum integration of renewable energy sources can minimize newlineutilization of diesel generator. Thus, the hybrid renewable energy system is ens