IoT Application on Home Automation with Smart Meter

Sastika, M. D.; Rafikiran, Shaik.; Manaswi, K.; Dhanamjayulu, C.; Hussaian Basha, CH; Prashanth, V.

doi:10.1007/978-981-99-4577-1_43

Algorithms for Intelligent Systems

2023

DOI: 10.1007/978-981-99-4577-1_43

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IoT Application on Home Automation with Smart Meter

M. D. Sastika,

Shaik. Rafikiran,

K. Manaswi

et al.

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2024

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Cited by 2 publications

References 19 publications

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A novel on high voltage gain boost converter with cuckoo search optimization based MPPTController for solar PV system

Mariprasath,

Basha,

Khan

et al. 2024

Sci Rep

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Traditionally, isolated and non-isolated boost converters are used for solar photovoltaic systems (SPV). These converters have limitations such as low voltage gain, less voltage ripples, temperature dependence, high voltage stress across the switches, and being bulky in size. Besides, the solar PV system also has non-linear characteristics between I–V and P–V, and the energy yield potential is affected by partial shading phenomena. Therefore, maximum power point tracking (MPPT) is being added to the SPV system to get the maximum output power under steady and dynamic climate conditions. Although the conventional MPPT has drawbacks such as less accuracy in predicting the MPP under partial shading conditions, low tracking speed, and more ripples, Hence, the research proposes a stackable single switch boost converter (SSBC) with a Cuckoo search MPPT controller for the SPV system. The efficiency of the proposed circuit topology has been compared with conventional boost converters with various MPPTs. Subsequently, the accuracy of tracking true MPPT by CSO is compared with that of PSO and FPNA. The results show, that the CMPPT with CBC has produced more ripples, whereas the BMPPT with SSBC produces ripple-free power under steady conditions. It is also observed that SSBC with BMPPT produces more power than SSBC with TMPPT. The efficiency of SSBC with BMPPT is better than other combinations. Finally, a prototype model has been developed and verified.

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A novel on high voltage gain boost converter with cuckoo search optimization based MPPTController for solar PV system

Mariprasath,

Basha,

Khan

et al. 2024

Sci Rep

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Adaptive RAO ensembled dichotomy technique for the accurate parameters extraction of solar PV system

Ashwini Kumari,

Basha,

Fathima

et al. 2024

Sci Rep

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The parameter extraction process for PV models poses a complex nonlinear and multi-model optimization challenge. Accurately estimating these parameters is crucial for optimizing the efficiency of PV systems. To address this, the paper introduces the Adaptive Rao Dichotomy Method (ARDM) which leverages the adaptive characteristics of the Rao algorithm and the Dichotomy Technique. ARDM is compared with the several recent optimization techniques, including the tuna swarm optimizer, African vulture’s optimizer, and teaching–learning-based optimizer. Statistical analyses and experimental results demonstrate the ARDM's superior performance in the parameter extraction for the various PV models, such as RTC France and PWP 201 polycrystalline, utilizing manufacturer-provided datasheets. Comparisons with competing techniques further underscore ARDM dominance. Simulation results highlight ARDM quick processing time, steady convergence, and consistently high accuracy in delivering optimal solutions.

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IoT Application on Home Automation with Smart Meter

Cited by 2 publications

References 19 publications

A novel on high voltage gain boost converter with cuckoo search optimization based MPPTController for solar PV system

A novel on high voltage gain boost converter with cuckoo search optimization based MPPTController for solar PV system

Adaptive RAO ensembled dichotomy technique for the accurate parameters extraction of solar PV system

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