Hybrid Artificial Intelligence-Based Control of Standalone PV Systems: A Resilient Energy Management Framework for Indian Climates N. P. Vishnu Pandi, K. Kumar, Lakshmi Devi, Ramji Tiwari Indiscon 2025 IEEE 6th India Council International Subsections Conference Proceedings, 2025 The increasing demand for sustainable and autonomous energy systems has positioned standalone solar photovoltaic (PV) installations as a key solution for rural electrification and off-grid applications. However, their effectiveness is often constrained by fluctuating environmental conditions, unpredictable load profiles, and the limitations of traditional control mechanisms. This paper proposes a novel hybrid artificial intelligence (AI) control strategy that integrates Adaptive Neuro-Fuzzy Inference Systems (ANFIS), Artificial Neural Networks (ANNs), and Fuzzy Logic Controllers (FLCs) to enhance the operational efficiency of standalone PV systems. The framework dynamically regulates maximum power point tracking (MPPT), manages battery charging and discharging, and improves load prioritization in real time. Simulations conducted using meteorological data from representative Indian cities demonstrate a significant improvement in energy conversion efficiency, battery longevity, and system responsiveness when compared to conventional control strategies. The proposed hybrid AI model offers a scalable, intelligent control approach suitable for deployment in diverse climatic and load scenarios.
Reconfigured Boost Converter for PV System Ramji Tiwari, Rifaya Sherin K, Sai Harini S M, Shurya G V, Sowmiya Sri C 2023 9th International Conference on Advanced Computing and Communication Systems Icaccs 2023, 2023 High DC-voltage step-up gain and Low voltage DC sources must be integrated using dc-dc converters. Despite the fact that a number of converter topologies have recently been reported, attempts have been made to minimize the converter’s parts, particularly the switching devices, passive components, converter losses, etc. In this paper, a novel single switched impedance network (SSIN)-based DC–DC converter topology with n stages is proposed. The SSIN-based converter’s continuous and discontinuous conduction modes are discussed. Investigations are done on how parasitic components affect SSIN effectiveness and DC-voltage gain. The SSIN converter's small-signal model is developed. The efficiency of the SSIN converter is contrasted with that of alternative converter topologies. The two-stage SSIN converter performs better under high load and high output voltage conditions, with reduced switch loss at 500W load.
EFFICIENT ENERGY CONTROLLING STRATEGY FOR HYBRID POWER HARVESTING SYSTEM Journal of Engineering Science and Technology, 2022
IoT service placement architecture for edge computing in smart cities K. C. Ramya, V. R. Kavitha, R. Geetha, S. Sivaranjani, Ramji Tiwari Aip Conference Proceedings, 2022 Improved quality of service is provided by the Internet of Things (IoT) devices deployed over IoT networks that form a large part of the smart city environment. At the network’s edges, IoT devices are provided with computing abilities through a suitable and powerful paradigm termed as edge computing, which makes significant contributions to the distributed and large scale IoT network features. For the purpose of execution, in edge computing, edge computing units (ECUs) host the IoT services lessening the burden of bandwidth while providing low latency. Improving the overall execution performance of an ECU in terms of power consumption, load balance level and resource utilization is challenging. However, these parameters are essential in the service placement of IoT devices to ensure leakage of privacy information. A trust-oriented IoT service placement (TSP) scheme is presented in this paper to tackle the aforementioned challenges during edge computing in the IoT networks of the smart city environments. The privacy preservation and execution performance metrics tradeoffs are balanced by the placement strategies by enhancing the strength Pareto evolutionary algorithm. Out of the several placement strategies obtained, the optimal strategy is identified using multicriteria decision making and technique for order preference by similarity to ideal solution schemes. Further, the TSP is evaluated in terms of its reliability and efficiency through systematic experiments.
Performance Analysis of SEPIC Converter for PV System Roopa Shree, Shreearchitha, Swetha, Karnam Chandrasekhar Ramya, Ramji Tiwari Aip Conference Proceedings, 2022 Rapid depletion of oil reserves and other conservative power sources tends to gradually increases demand for non-conventional resources. Photovoltaic (PV) based is considered as a better alternative. PV resources are abundantly available and during these recent times, its importance is gaining attention. In remote locations, micro grids are present at far distances; hence it is impossible for connecting the grid. Thus in a remote location, PV system plays a significant role as the most suitable alternative for power generation. In this paper, the analysis of DC-DC converters like BC (Boost) and Single Ended Primary Inductor Converter (SEPIC) are investigated so that identification of the best converter for remote location applications can be done. The simulation analysis has been executed using MATLAB/Simulink software regarding solar-based SEPIC converter system generates improved results in comparison with a boost converter.
User Interface Design for Public Kiosks: An Evaluation of the Mask Vending Machine S. Dinakaran, S. P. Vignesh, V. Arvend, S. Sreramsuseraj, Ramji Tiwari, K. C. Ramya Aip Conference Proceedings, 2022 This proposed prototype of Mask Vending Machine is a combination of electronic and mechanical component which vend mask. The proposed mask vending machine requires an minimal amount to dispense a mask to the users. The main advantage of the proposed prototype is that it is lite weight and requires minimal components. The proposed vending machine requires no prior knowledge to operate. The face mask is one of the primary essential commodity in the recent days. The mask being an very delicate in nature can be worn off with an regular use. Hence, this leads to procurement of new mask from nearby store. To reduce the risk of searching nearby shops, the proposed prototype can be installed in all the public places such as bus stops, railway stations, subways, malls, theatres etc. This can prevent people from searching mask for a particular place. This prototype can be easily transported. The coin collector can be modified to a switch for household purposes.
Performance evaluation of photo voltaic system with quadratic boost converter employing with MPPT control algorithms International Journal of Renewable Energy Research, 2020
Coordinated DTC and VOC control for PMSG based grid connected wind energy conversion system Ramji Tiwari, N. Ramesh Babu, Sanjeevikumar Padmanaban, Luigi Martirano, Pierluigi Siano Conference Proceedings 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe Eeeic I and Cps Europe 2017, 2017
