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Automatic Generation Control of an Organic Rankine Cycle Solar–Thermal/Wind–Diesel Hybrid Energy System
Author(s) -
Das Dulal C.,
Sinha N.,
Roy A. K.
Publication year - 2014
Publication title -
energy technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.91
H-Index - 44
eISSN - 2194-4296
pISSN - 2194-4288
DOI - 10.1002/ente.201402024
Subject(s) - organic rankine cycle , automatic generation control , settling time , controller (irrigation) , hybrid system , overshoot (microwave communication) , control theory (sociology) , electricity generation , solar energy , degree rankine , particle swarm optimization , thermal energy , automatic frequency control , engineering , computer science , process engineering , electric power system , control engineering , power (physics) , electrical engineering , step response , control (management) , physics , agronomy , quantum mechanics , machine learning , artificial intelligence , biology
The organic Rankine cycle solar–thermal power system is a promising concept for the distributed energy market. The present work investigates the automatic generation control of an autonomous hybrid energy system based on organic Rankine cycle solar–thermal technology. Any mismatch between the active power generation and consumption in the hybrid energy system manifests itself as a frequency deviation from the nominal system frequency. To confront the frequency excursion problem, the present work considers automatic generation control, in which the controllers’ parameters are optimized by using particle swarm optimization (PSO). The performance of each controller is compared with its genetic algorithm (GA)‐optimized counterpart with respect to its ability to capture the frequency variation in the proposed hybrid energy system. The simulation results reveal that the performance of the PSO‐optimized controller is better than its GA‐optimized counterpart in terms of settling time and overshoot in deviation of frequency.