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Siva Ramakrishna Madeti
Indian Institute of Technology Roorkee
6Publications
5H-index
73Citations
Publications 6
Newest
#1Siva Ramakrishna Madeti (IITR: Indian Institute of Technology Roorkee)H-Index: 5
#2S. N. Singh (IITR: Indian Institute of Technology Roorkee)H-Index: 10
Abstract In this paper, a string level fault detection and diagnosis technique for photovoltaic ( P V ) systems based on k-nearest neighbors ( k N N ) rule is proposed. It detects and classifies open circuit faults, line-line ( L - L ) faults, partial shading with and with-out bypass diode faults and partial shading with inverted bypass diode faults in real time. A detailed modeling of the PV systems based on experimental data is presented that only requires available data from the manufacturer’...
#1Siva Ramakrishna Madeti (IITR: Indian Institute of Technology Roorkee)H-Index: 5
#2S. N. Singh (IITR: Indian Institute of Technology Roorkee)H-Index: 10
Abstract Monitoring systems are essential to maintain optimal performance of photovoltaic (PV) systems. A critical aspect in such monitoring systems is the fault diagnosis technique being used. The role of a fault detection and diagnosis technique is to identify the causes affecting the real-time energy production and/or smooth functioning of PV systems. Over the past decade, various fault detection methods were reported in literature. Among all the fault detection techniques reported, some paid...
#1Siva Ramakrishna Madeti (IITR: Indian Institute of Technology Roorkee)H-Index: 5
#2S. N. Singh (IITR: Indian Institute of Technology Roorkee)H-Index: 10
Abstract This paper presents a new fault detection and diagnosis technique for solar photovoltaic (PV) systems operating under grid-tied and off-grid modes. The proposed technique is capable to identify the type and location (module level) of a fault. This technique relies on the local measurements, and model prediction outputs for fault detection and diagnosis. Multiple low cost sensors were used to acquire/monitor solar irradiance, PV module temperature, voltage and current at module level in ...
#1Siva Ramakrishna Madeti (IITR: Indian Institute of Technology Roorkee)H-Index: 5
#2S. N. Singh (IITR: Indian Institute of Technology Roorkee)H-Index: 10
Abstract Monitoring system is essential to maintain optimal performance of photovoltaic systems. An automatic fault diagnosis technique in a monitoring system plays critical role in detecting causes affecting the energy production. This paper proposes a new fault detection technique that analyzes the anomalies observed in terminal characteristics of faulty PV strings and corresponding array. The terminal voltage difference between the module in healthy string and the healthy module in unhealthy ...
#1Siva Ramakrishna Madeti (IITR: Indian Institute of Technology Roorkee)H-Index: 5
#2S. N. Singh (IITR: Indian Institute of Technology Roorkee)H-Index: 10
The Photovoltaic (PV) monitoring system collects and analyzes number of parameters being measured in a PV plant to monitor and/or evaluate its performance. In order to ensure the reliable and stable operation of any PV system, an effective monitoring system is essential. Moreover, the monitoring system keeps track on various electricity generation indices and fault occurrences. The cost and complexity of existing PV monitoring systems restricts their use to large scale PV plants. Over the past d...
#1Siva Ramakrishna Madeti (IITR: Indian Institute of Technology Roorkee)H-Index: 5
#2S. N. Singh (IITR: Indian Institute of Technology Roorkee)H-Index: 10
This paper is focused on comparative analysis of photovoltaic (PV) monitoring system for observing the performance and stability of the system. The cost and complexity of existing PV monitoring systems restricted their use to large scale PV plants. Over the past decade, different aspects of the PV monitoring systems were reported in the wide range of literature. In this paper, a comparative analysis of various PV monitoring systems is presented for the first time. It is based on analyzing six ma...
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