A Soft-Computing Based Approach to Economic and Environmental Analysis of an Autonomous Power Delivery System Utilizing Hybrid Solar - Diesel - Electrochemical Generation

摘要

Concerns toward the continued availability of reliable grid-based power and global warming and depleting oil reserves have made a decentralized power delivery model seeking energy from renewable energy resources an inevitability. Photovoltaic power generating modules (PV), diesel generators (DG), battery energy storage systems (BESS) are emerging generation/storage technologies. The present work depicts the economic analysis and environmental impacts of a decentralized or distributed power delivery system integrated with hybrid distributed energy resources (DERs). The model for decentralized power delivery system has been developed employing a modified form of the differential evolution algorithm implemented within MATLAB? Simulink considering load demand scenario for a locality in India. Optimal power generation has been made using different sets of distributed energy resources, pertaining to cost estimation and respective environmental impact. The results show a cost effective power delivering network for hybrid DG-BESS, but PV-BESS is more beneficial from the environmental perspective.