Open AccessOptimal load frequency control in deloaded tidal power generation plant‐based interconnected hybrid power system
Author(s) -
Kumar Akshay,
Shankar Gauri
Publication year - 2018
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2018.5029
Subject(s) - harmony search , tidal power , electric power system , control theory (sociology) , automatic frequency control , matlab , electricity generation , power station , power (physics) , controller (irrigation) , engineering , hybrid power , inertia , control engineering , computer science , control (management) , marine engineering , electrical engineering , agronomy , physics , classical mechanics , quantum mechanics , artificial intelligence , biology , operating system
In recent years, power utilities have witnessed increase in penetration of tidal power generation plant (TPGP) into the power system network and, hence, it may collaborate with conventional units in frequency regulation process to ensure power system stability. Therefore, this study presents a method to monitor the participation of TPGP in load frequency control mechanisms in the presence of conventional unit such as diesel power generation plant. The participation of TPGP is showcased based on primary frequency control topologies such as by producing additional inertia, additional damping along with the concept of deloading operation. These approaches are realised by employing conventional controllers to obtain required power (corresponding to different loading conditions) from TPGP by manipulating the kinetic energy of the rotating mass of tidal turbine blades. For better performance and improved stability of the system, the controller parameters are optimised using quasi‐oppositional harmony search algorithm (QOHSA). The effectiveness of QOHSA is proved by comparing the results obtained by it to those yielded by employing other existing state‐of‐the‐art optimisation methods. The prospective analysis is validated in single‐area and two‐area hybrid power system models through MATLAB simulation studies.