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Article type: Research Article
Authors: Rawat, Mahiraj Singha; * | Vadhera, Shellyb
Affiliations: [a] National Institute of Technology Uttarakhand, Srinagar, Uttarakhand, India | [b] National Institute of Technology, Kurukshetra, Haryana, India
Correspondence: [*] Corresponding Author. rawat.ms85@gmail.com
Abstract: Increased penetration of renewable energy sources in distribution networks has imposed a significant challenge for power system stability. In this paper, the uncertainty associated with solar irradiation and load demands are modelled as probabilistic distribution functions (PDFs). The static voltage stability index (VSI) is used to find the optimal locations of distributed generation (DG). To investigate the impact of photovoltaic (PV) based DGs on distribution network, Monte Carlo Simulation (MCS) method, a probabilistic load flow method, is used in this work. Distribution test networks i.e. IEEE 33 and 69 bus networks are used for case study. The results obtained are presented and discussed.
Keywords: Photovoltaic system, Monte Carlo simulation, distributed generation, beta probabilistic distribution function
DOI: 10.3233/AJW-180043
Journal: Asian Journal of Water, Environment and Pollution, vol. 15, no. 3, pp. 51-62, 2018
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