Optimization of On-Grid Hybrid Renewable Energy System: A Case Study on Azad Jammu and Kashmir

Shahzad, M. and Qadir, A. and Ullah, N. and Mahmood, Z. and Saad, N.M. and Ali, S.S.A. (2022) Optimization of On-Grid Hybrid Renewable Energy System: A Case Study on Azad Jammu and Kashmir. Sustainability (Switzerland), 14 (10).

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Abstract

Expansion of modern power systems due to increasing energy demands face the challenges of grid reinforcement cost, size and complexity, transmission losses, and environmental factors. Placement of renewable energy sources (RES) based generation systems addresses these challenges. However, the size and placement location of RES-based system require optimization of installation and operational cost with better return on investment and reduction of greenhouse gas emissions. This paper presents an optimized solution for RES-based generation system to be installed with the existing power system of Azad Jammu and Kashmir (AJK) region that is facing power shortfall and load shedding. The weather and climate data from NASA and National Renewable Energy Laboratory (NREL) have been used and various models of on-grid hybrid renewable energy system (HRES) are compared to highlight their techno-economic benefits. An optimal hybrid photovoltaic, wind, and hydroelectric energy-based generation system is proposed with a significant reduction in cost of energy, net present cost, initial costs, and GHG emissions. Installation of the proposed hybrid RES-based generation system guarantees reduction in system power losses and line flows with an improved voltage profile of the system. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Item Type: Article
Impact Factor: cited By 0
Uncontrolled Keywords: alternative energy; environmental factor; greenhouse gas; optimization; power generation; spatiotemporal analysis, Azad Kashmir; Pakistan
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 13 Jun 2022 02:29
Last Modified: 13 Jun 2022 02:29
URI: http://scholars.utp.edu.my/id/eprint/33098

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