Optimal load frequency control in deloaded tidal power generation plant‐based interconnected hybrid power system

Abstract

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.

Maiden application of SSA‐optimised CC‐TID controller for load frequency control of power systems

“…In the recent future, the author aims to apply the designed CC-TID control structure to discuss the frequency, power, and voltage instability problems of five-area IPS. The value of P tie, max is calculated as P tie, max = T 12 cos δ 1 − δ 2 = 0.545 cos 30°= 0.6293 pu (12) where δ 1 − δ 2 is the initial angle and this value can go maximum up to 30° (electrical) [32]. Thus, the maximum tie-line power capacity of test system-1 is 629 MW on 1000 MW base.…”

“…Close reviews in this area further unfolds the effective use of imperialist competitive algorithm [15], firefly algorithm [18], differential search algorithm [14], differential evolution (DE) [20], flower pollination algorithm (FPA) [8], grey wolf optimisation [31], teaching learning-based optimisation [24,31], and JAYA [31]. The participation of tidal power generation in LFC has been reviewed in [32]. The controller parameters were optimised by quasi-oppositional harmony search algorithm (QOHSA).…”

Enhancement of tidal generators by superconducting energy storage and Jaya‐based sliding‐mode controller

“…The modeling of the system starts with the electrical and mechanical power ( P m and P ) related to power angle and torque loops that can be termed by the damping and oscillation actions. The representation of TTG is detailed with complete pitch angle, damping, supplementary, and inertia controllers that confirm the non‐linearity of the system 8‐10 …”

“…Tidal turbines can be integrated to the power networks to achieve reliable and resilient operation to supply demands. In addition, TTGs are able to handle variable operating conditions dynamically to recover perturbations 9 . Recent research is performed about the modeling and operation of TTGs to analyze the system performance under various operating conditions 10‐12 .…”

Load frequency control assessment of tidal power plant and capacitive energy storage systems supported microgrid

“…In [19], inertia constants of different generating units such as CPP, WPP and TPP are presented. In all of them, inertia constant of TPP is very low in comparison with other generating units.…”