@article{(Open Science Index):https://publications.waset.org/pdf/10013493,
	  title     = {Analysis of Transformer Reactive Power Fluctuations during Adverse Space Weather},
	  author    = {Patience Muchini and  Electdom Matandiroya and  Emmanuel Mashonjowa},
	  country	= {},
	  institution	= {},
	  abstract     = {A ground-end manifestation of space weather phenomena is known as geomagnetically induced currents (GICs). GICs flow along the electric power transmission cables connecting the transformers and between the grounding points of power transformers during significant geomagnetic storms. Zimbabwe has no study that notes if grid failures have been caused by GICs. Research and monitoring are needed to investigate this possible relationship purpose of this paper is to characterize GICs with a power grid network. This paper analyses data collected, which are geomagnetic data, which include the Kp index, Disturbance storm time (DST) index, and the G-Scale from geomagnetic storms and also analyses power grid data, which includes reactive power, relay tripping, and alarms from high voltage substations and then correlates the data. This research analysis was first theoretically analyzed by studying geomagnetic parameters and then experimented upon. To correlate, MATLAB was used as the basic software to analyze the data. Latitudes of the substations were also brought into scrutiny to note if they were an impact due to the location as low latitudes areas like most parts of Zimbabwe, there are less severe geomagnetic variations. Based on theoretical and graphical analysis, it has been proven that there is a slight relationship between power system failures and GICs. Further analyses can be done by implementing measuring instruments to measure any currents in the grounding of high-voltage transformers when geomagnetic storms occur. Mitigation measures can then be developed to minimize the susceptibility of the power network to GICs.},
	    journal   = {International Journal of Energy and Power Engineering},
	  volume    = {18},
	  number    = {2},
	  year      = {2024},
	  pages     = {16 - 21},
	  ee        = {https://publications.waset.org/pdf/10013493},
	  url   	= {https://publications.waset.org/vol/206},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 206, 2024},
	}