2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) 2022
DOI: 10.1109/icirca54612.2022.9985490
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Analysis and Performance of Solar Photovoltaic Energy System in India: Case Study

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Cited by 2 publications
(2 citation statements)
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“…Solar photovoltaic (PV) is one of the most promising energy generation resources due to its pollution-free, friendly environment and standby mode of operation [1,2]. The global energy market has expanded drastically with the implementation of solar PV on a large scale and helps to achieve social development [3][4][5][6][7][8][9][10][11]. Partial shading, caused by factors such as the shadows cast by structures like trees, buildings, and poles, as well as the motion of clouds in the case of large-scale PV systems [12,13], significantly diminishes the power produced by the PV array.…”
Section: Introductionmentioning
confidence: 99%
“…Solar photovoltaic (PV) is one of the most promising energy generation resources due to its pollution-free, friendly environment and standby mode of operation [1,2]. The global energy market has expanded drastically with the implementation of solar PV on a large scale and helps to achieve social development [3][4][5][6][7][8][9][10][11]. Partial shading, caused by factors such as the shadows cast by structures like trees, buildings, and poles, as well as the motion of clouds in the case of large-scale PV systems [12,13], significantly diminishes the power produced by the PV array.…”
Section: Introductionmentioning
confidence: 99%
“…o Position-based fitness (power output) evaluation. 2) Particle's velocity and position:o The following equation updates particle velocity:V[i] = w * V[i] + c1 * r1 * (Pbest[i] -X[i]) + c2 * r2 * (Gbest-X[i]).Where V[i] is the i-th particle's velocity, w is the inertia weight, c1 and c2 are acceleration coefficients, r1 and r2 are random numbers between 0 and 1, Pbest[i] is the particle's personal best position, X[i] is its current position, and Gbest is the global best position among all particles[28],[29],[30}. o Update particle positions based on velocity:X[i] =X[i] + V[i] 3)Fitness and Positions: o Assess each particle's fitness (power production) in its new place.…”
mentioning
confidence: 99%