47 research outputs found
Integration of Green Hydrogen in Rural Regions of India for Reliable and Secure Supply Through Decentralized Renewable Solutions
No full textIndia has made significant progress in electrification, but rural areas still face issues with power reliability and sustainability due to frequent outages and voltage fluctuations in the existing centralized grid system. To address these issues, decentralizing power generation with green hydrogen as storage and backup is proposed. This paper examines the financial feasibility of integrating green hydrogen and renewable energy in rural India. Using HOMER Pro Software, simulations showed that integrating these technologies significantly reduces costs and emissions. Net Present Cost (NPC) and Levelized Cost of Energy (LCOE) dropped by 60.4%, operational and maintenance costs decreased by 74.2%, and emissions were reduced by 65-85%. Financial metrics suggest a 2 - 3-year breakeven point due to declining costs for electrolyzers and storage facilities by 2030. The study concludes that decentralizing power generation with green hydrogen and renewable energy can reduce the carbon footprint and promote sustainable development
Sensitivity analysis of reliability constrained, eco optimal solar, wind, hydrogen storage based islanded power system
No full textAbstract The global energy expansion strategy has incorporated islanded renewable energy-based power generation systems to electrify remote communities. The development of these renewable energy systems (RES) decreases grid dependency and operational costs. Solar photovoltaic power stations (SPPS) and wind-driven power stations (WDPS) are commonly employed technologies in isolated power systems. However, their intermittent nature poses dependability obstacles. Therefore, the incorporation of storage technology is essential to enhance reliability. This paper presents a sensitivity analysis to determine the optimal, reliable, and cost-effective sizing of a SPPS, WDPS, and hydrogen storage systems (HSS) based power system for case study of Jaisalmer, India. The ideal dimensions of each component are determined in two different cases, each having a unique objective function. The optimal sizing is attained through a metaheuristic optimization method called Butterfly-PSO. Reliability assessment is carried out using Monte Carlo Simulation (MCS) and two key reliability indices, namely ENS and LOLE are taken under analysis. Sensitivity analyses are performed to examine the effects of incorporating or excluding RES and storage elements on system reliability and cost-efficiency. The findings presents that increasing SPPS capacity by one unit changes around LOLE by 13%, ENS by 14%, and LCOE/TLCC by 1%. Varying WDPS capacity changes LOLE by 16%, ENS by 19%, TLCC by 3.3%, and LCOE by 1.4%. Adjusting HSS tank size by one unit affects LOLE by 2%, ENS by 2.6%, and TLCC/LCOE by 0.02%. Case 1 (Min TLCC) offers a more reliable and cost-effective solution than Case 2
Dynamic economic load dispatch using hybrid swarm intelligence based harmony search algorithm
No full textMulti-Objective Optimization for Efficient Home Energy Management System using Differential Evolution Algorithm
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An improved adaptive particle swarm optimization approach for multi-modal function optimization
No full textStateflow based implementation of energy management for a DC grid using analog and digital control techniques
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Energy management in islanded DC microgrid using fuzzy controller to improve battery performance
No full textComparative Study of Evolutionary Computing Methods for Parameter Estimation of Power Quality Signals
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