M
Mahesh K. Mishra
Researcher at Indian Institute of Technology Madras
Publications - 240
Citations - 7010
Mahesh K. Mishra is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Microgrid & Inverter. The author has an hindex of 42, co-authored 222 publications receiving 5773 citations. Previous affiliations of Mahesh K. Mishra include Electric Power Research Institute & Visvesvaraya National Institute of Technology.
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Adaptive Droop Control Strategy for Load Sharing and Circulating Current Minimization in Low-Voltage Standalone DC Microgrid
TL;DR: In this paper, a figure of merit called droop index (DI) is introduced in order to improve the performance of dc microgrid, which is a function of normalized current sharing difference and losses in the output side of the converters.
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Design and Analysis of Novel Control Strategy for Battery and Supercapacitor Storage System
TL;DR: In this paper, a simple novel control strategy is designed and analyzed for a hybrid energy storage system (HESS), where batteries are used to balance the slow changing power surges, whereas super-capacitors (SC) are used by diverting the power surges to the SC system.
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Variable Perturbation Size Adaptive P&O MPPT Algorithm for Sudden Changes in Irradiance
TL;DR: In this paper, a variable perturbation size adaptive perturb and observe (P&O) maximum power point tracking (MPPT) algorithm is proposed to track the maximum power under sudden changes in irradiance.
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Dynamic Energy Management of Renewable Grid Integrated Hybrid Energy Storage System
TL;DR: A unified energy management scheme is proposed for renewable grid integrated systems with battery-supercapacitor hybrid storage that enables the real power transfer along with ancillary services such as current harmonic mitigation, reactive power support, and power factor improvement at the point of common coupling.
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A Novel Adaptive P&O MPPT Algorithm Considering Sudden Changes in the Irradiance
TL;DR: In this paper, a short-circuit current-based adaptive perturb and observe maximum power point tracking algorithm is proposed to extract the maximum power from photovoltaic (PV) panel under sudden changes in the irradiance.