Quasi-oppositional harmony search algorithm based optimal dynamic load frequency control of a hybrid tidal–diesel power generation system

• Published in: IET generation, transmission & distribution Vol. 12; no. 5; pp. 1099 - 1108
• Main Authors: Kumar, Akshay, Shankar, Gauri
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 13.03.2018
• Subjects: autonomous hybrid power system model; autonomous mode; damping control; diesel power plant; diesel‐electric power stations; distributed generations; distributed power generation; dynamic performance analysis; frequency control; frequency regulation criteria; frequency support; grid‐connected mode; HPSM; hybrid power systems; hybrid tidal‐diesel power generation system; LFC; load regulation; optimal control; optimal dynamic load frequency control; power generation control; power generation reliability; power grids; power system network; power system stability; power utilities; QOHSA; quasioppositional harmony search algorithm; Research Article; search problems; solar energy; stochastic behaviour; supplementary control strategies; system reliability enhancement; system stability enhancement; tidal power plant; tidal power stations; TPP; wind energy; solar energy; HPSM; stochastic behaviour; diesel power plant; power generation control; system reliability enhancement; LFC; distributed generations; optimal dynamic load frequency control; wind energy; distributed power generation; hybrid tidal-diesel power generation system; grid-connected mode; TPP; system stability enhancement; power grids; power utilities; search problems; load regulation; hybrid power systems; power system stability; supplementary control strategies; power generation reliability; QOHSA; tidal power stations; frequency support; autonomous mode; optimal control; frequency regulation criteria; frequency control; diesel-electric power stations; tidal power plant; autonomous hybrid power system model; dynamic performance analysis; damping control; quasioppositional harmony search algorithm; power system network
• ISSN: 1751-8687; 1751-8695
• DOI: 10.1049/iet-gtd.2017.1115

In recent years, high penetration of distributed generations based on wind energy, solar energy and so on in the existing power system network has been noticed. However, due to their stochastic behaviour, operations under autonomous mode as well as in grid-connected mode are not an easy task. This has forced the power utilities to re-define frequency regulation criteria to enhance the overall system stability and reliability. In line with the same, dynamic performance analysis of load frequency control (LFC) of an autonomous hybrid power system model (HPSM) consisting of tidal power plant (TPP) and diesel power plant is explored in this study. A concept of deloaded TPP is adopted in the studied HPSM to utilise the available reserve power for the frequency support. Apart from this, the studied model also incorporates frequency regulation through inertia and damping control and supplementary control strategies. These control strategies are realised through conventional controllers whose gain values are optimised using quasi-oppositional harmony search algorithm (QOHSA) for the optimal dynamic performance of LFC. The efficacy of the proposed QOHSA is corroborated by comparing the results with those yielded by few other existing state-of-the-art algorithms.