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Indranil Pan
Researcher at Imperial College London
Publications - 139
Citations - 3927
Indranil Pan is an academic researcher from Imperial College London. The author has contributed to research in topics: PID controller & Control theory. The author has an hindex of 27, co-authored 136 publications receiving 3068 citations. Previous affiliations of Indranil Pan include Royal School of Mines & The Turing Institute.
Papers
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Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO.
TL;DR: This paper investigates the operation of a hybrid power system through a novel fuzzy control scheme employed and its parameters are tuned with a particle swarm optimization (PSO) algorithm augmented with two chaotic maps for achieving an improved performance.
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Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay.
TL;DR: The paper shows that random variation in network delay can be handled efficiently with fuzzy logic based PID controllers over conventional PID controllers.
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Smart energy systems for sustainable smart cities: Current developments, trends and future directions
TL;DR: This review looks at the current developments in the smart energy sector, focussing on techniques in the main application areas along with relevant implemented examples, while highlighting some of the key challenges currently faced and outlining future pathways for the sector.
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A novel fractional order fuzzy PID controller and its optimal time domain tuning based on integral performance indices
TL;DR: A novel fractional order fuzzy Proportional-Integral-Derivative (PID) controller is proposed in this paper which works on the closed loop error and its fractional derivative as the input and has a fractional integrator in its output.
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Fractional Order AGC for Distributed Energy Resources Using Robust Optimization
Indranil Pan,Saptarshi Das +1 more
TL;DR: The applicability of fractional order (FO) automatic generation control (AGC) for power system frequency oscillation damping is investigated in this paper, employing distributed energy generation.