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      The Potential Role of Hybrid Renewable Energy System for Grid Intermittency Problem: A Techno-Economic Optimisation and Comparative Analysis

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      Sustainability
      MDPI AG

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          Abstract

          The renewed interest for power generation using renewables due to global trends provides an opportunity to rethink the approach to address the old yet existing load shedding problem. In the literature, limited studies are available that address the load shedding problem using a hybrid renewable energy system. This paper aims to fill this gap by proposing a techno-economic optimisation of a hybrid renewable energy system to mitigate the effect of load shedding at the distribution level. The proposed system in this work is configured using a photovoltaic array, wind turbines, an energy storage unit (of batteries), and a diesel generator system. The proposed system is equipped with a rule-based energy management scheme to ensure efficient utilisation and scheduling of the sources. The sizes of the photovoltaic array, wind turbine unit, and the batteries are optimised via the grasshopper optimisation algorithm based on the multi-criterion decision that includes loss of power supply probability, levelised cost of electricity, and payback period. The results for the actual case study in Quetta, Pakistan, show that the optimum sizes of the photovoltaic array, wind turbines, and the batteries are 35.75 kW, 10 kW, and 28.8 kWh, respectively. The sizes are based on the minimum values of levelised cost of electricity (6.64 cents/kWh), loss of power supply probability (0.0092), and payback period (7.4 years). These results are compared with conventional methods (generators, uninterruptible power supply, and a combined system of generator and uninterruptible power supply system) commonly used to deal with the load shedding problem. The results show that the renewable based hybrid system is a reliable and cost-effective option to address grid intermittency problem.

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          Grasshopper Optimisation Algorithm: Theory and application

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            The Arithmetic Optimization Algorithm

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              Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review

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                Author and article information

                Contributors
                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                November 2022
                October 28 2022
                : 14
                : 21
                : 14045
                Article
                10.3390/su142114045
                0ba8992c-86c0-4a05-8719-fdbcce6eece4
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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