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M Nimal Madhu

Researcher at Asian Institute of Technology

Publications -  11
Citations -  92

M Nimal Madhu is an academic researcher from Asian Institute of Technology. The author has contributed to research in topics: Renewable energy & Portfolio optimization. The author has an hindex of 4, co-authored 10 publications receiving 62 citations.

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Economic and network feasible online power management for renewable energy integrated smart microgrid

TL;DR: In this paper, a combination of stochastic weight tradeoff particle swarm optimization (SWT-PSO) and interval arithmetic (IA) is proposed to analyze the effects of interval uncertainties of nodal power injections (due to renewable energy sources (RES) and loads) on microgrid cost and power flow variables.
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An approach for an efficient hybrid AC/DC solar powered Homegrid system based on the load characteristics of home appliances

TL;DR: In this article, a new and efficient hybrid AC/DC solar powered Homegrid model is proposed based on the load characteristics of a typical set of home appliances working on a 220-V, 50-Hz system.
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Multi-objective optimal power flow considering wind power cost functions using enhanced PSO with chaotic mutation and stochastic weights

TL;DR: The proposed OPF algorithm balances the exploration of global and the utilization of local bests with the stochastic weight and dynamic coefficient trade-off techniques, thus enhancing the searching capability and giving a more reliable operating solutions, better optimal front and hence an improved solution providing a better trade-offs.
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Fuzzy-based novel risk and reward definition applied for optimal generation-mix estimation

TL;DR: The optimal generation mix problem is solved by considering the economic and power production parameters, simultaneously, using a novel fuzzy-generated index and the results obtained show potential for significant contribution to the adopted investor-strategy in generation planning.
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Real Time Active Power Ancillary Service Using DC Community Grid with Electric Vehicles and Demand Response

TL;DR: In this paper, an active power imbalance ancillary services provision for the grid using a DC community grid, stabilizing the electric power system is proposed, where a community of 100 houses with individual solar installation along with a centralized DC-wind turbine and EV charging station compose the grid that is considered.