Techno-Economic Assessment Of Pso Optimized Microgrid With Hydrogen Storage System

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Department of Electrical and Electronic Engineering


Microgrids are designed to utilize the renewable energy sources and it is a revolutionary choice in terms of reducing the environmental effect of excessive GHG emissions while producing electricity. The intermittency of renewable generation poses challenges to the technical and economic feasibility of microgrid operation, which conveys the integration of hybrid energy storage systems. In recent decades, Several researched has already been concluded in search of reliable and economically feasible hybrid energy storage. Hydro gen storage have been considered to be a key vector for enhancing the effectiveness of renewable and sustainable energy storage. The hydrogen ecosystem would be deemed a fully green energy storage system if we could manufacture hydrogen from renewable en ergy sources, store it, and utilize it in times of energy shortage. Here we have presented a model for evaluating the technical, economical feasibility and the environmental impact on a Grid-connected Microgrid integration scenarios consisting hybrid energy storage system. Microgrid model was comprised Photovoltaic Panel, Wind turbine, Lead-Acid battery, Electrolyzer, Fuel cell, and H2 cylinder tank. Microgrid component’s analogous model was presented by the mathematical function by which we estimated annual hourly renewable generation based on given resources. In order to consider the load uncertainty, load consumption model for 50 homes was generated using Gaussian process. The mi crogird components sizing was done by Particle Swarm optimization technique (PSO) to minimize the installation upfront cost as well as levelized cost of energy ($/kWh). We used an energy dispatched strategy for smartly distribute energy among energy storage’s and load consumption model and reduce the loss of power supply probability (LPSP). We tested different microgrid’s energy penetration levels of 25%, 50%, 75% and 100% in terms of peak power distribution capabilities to load demand respective to conventional grid, where, Microgrid’s 100% integration capabilities try to maintain the full load de mand and not bought energy from conventional grid. And we found different LCOE and annual GHG emission for each integration scenario and easily distinguish which system performed better compared with other system


submitted by Arafat Ibne Ikram, bearing Matric ID. ET173001 and Md. Kamruzzaman Rocky, bearing Matric ID. ET173017 of session Spring 2021,