Quantifying techno-economic indicators' impact on isolated renewable energy systems

Abstract

Addressing climate change with the rising global energy usage necessitates electricity sector decarbonization by rapidly moving toward flexible and efficient off-grid renewable energy systems (RESs). This paper analyzes the wind and solar micro-grids, with batteries and pumped hydro storage for a robust off-grid RES techno-economic operation, while considering diverse multi-objective optimization cases. This research has considered the RES variable operational losses in the developed methodology and relations between different indicators are evaluated, revealing a basic understanding between them. The results reveal that the reliability index is inversely related to the oversupply index, while directly related to the system self-sufficiency index. The cost of energy is more sensitive to technical indicators rather than the storage cost and so can be used as a primary monetary index. Energy and cost balance analysis showed that 16%-20% of the used energy was drained in RES operational losses, which were usually ignored in previous studies.

Optimization of solar and battery-based hybrid renewable energy system augmented with bioenergy and hydro energy-based dispatchable source

“… 6 , 7 The earlier research was mainly based on classical optimization techniques with the predominant use of linear programming for simplified models and a variety of non-linear programming methods 8 for the detailed models of HRES. The use of artificial intelligence-based modern optimization techniques like the genetic algorithm, 9 particle swarm optimization, 10 and gray wolf optimizer 11 has increased lately because of their inherent capability to search in larger space with population-based variable values. 12 , 13 The hybrid techniques with a combination of more than one optimization technique are also gaining currency to exploit the advantages of two different optimization techniques.…”