Planning and optimization of sustainable grid integrated hybrid energy system in India. (March 2023)

• Record Type: Journal Article
• Authors: Malik, Prashant; Awasthi, Mamta; Upadhyay, Subho; Agrawal, Prachi; Raina, Gautam; Sharma, Shubham; Kumar, Manish; Sinha, Sunanda
• Is Part Of: Sustainable energy technologies and assessments. Volume 56(2023)
• Publication Date: 2023-03
• Subjects: A Swept Area -- BG Biomass gasifier -- Cp Wind Turbine Coefficient -- Gn Solar Radiation at STC -- HRES Hybrid Renewable Energy System -- Isc Short Circuit Current -- Imp Maximum Power Point Current -- IRnominal Nominal Interest Rate -- GSK Gaining-sharing knowledge -- G Global solar radiation -- IL Photo current -- Rs Series Resistance -- a Ideality factor -- Kl Short Circuit Current Temperature Coefficient -- LFDS Load Following Dispatch Strategy -- LPSP Loss Of Power Supply Probability -- Pmax(kW) Maximum Power Generation From Wind Turbine -- Voc Open Circuit Voltage -- Vmp Maximum Power Point Voltage -- ωm Rotor Speed (rad/sec) -- ρ Air Density (kg/m3) -- DISCOM Distribution Company -- Gn solar irradiance at STC -- Rsh Shunt Resistance -- Io Reverse saturation current; Optimal sizing -- Metaheuristic techniques -- Hybrid renewable energy system -- Sustainability -- Decarbonization; Renewable energy sources -- Periodicals; Energy development -- Technological innovations -- Periodicals; Electric power production -- Periodicals; Energy storage -- Periodicals; 333.79
• DOI: 10.1016/j.seta.2023.103115
• Languages: English
• ISSNs: 2213-1388

Abstract

Abstract: The purpose of this study is to conduct the techno-economic-environmental feasibility analysis of a grid-connected hybrid energy systems, making use of locally renewable resources such as solar, wind, and biomass (pine needles). In the absence of a storage unit, five different configurations are investigated. With the use of a newly invented gaining-sharing knowledge optimization method, a mathematical model for optimum size is developed. The Gaining-sharing knowledge algorithm is based on how individuals learn and distribute information throughout their lives. The results of gaining-sharing knowledge-based model is also compared with the standard software tool, Hybrid optimization of multiple energy resources, and the commonly used optimization techniques Genetic algorithm and Biogeography-based optimization to confirm the effectiveness of the proposed approach. The Gaining-sharing knowledge (GSK) based model performance is found best among all. The grid-integrated biomass gasifier/PV amalgam system is determined to be the most economical with an energy production cost of 5.2 ₹/kWh and it saves 87.9% CO2 per annum when compared to a diesel-only system.