Assessment of Amelioration in Frequency Regulation by deploying Novel Intelligent based Controller with Modified HVDC Tie-Line in Deregulated Environment. Issue 1 (2nd January 2023)

• Record Type: Journal Article
• Authors: Murali, Sariki; Shankar, Ravi
• Is Part Of: Smart science. Volume 11:Issue 1(2023)
• Page Start: 154
• Page End: 170
• Publication Date: 2023-01-02
• Subjects: Adaptive control policy -- fuzzy (PIλf) +piλdn -- Inertia emulation -- LFC -- Modified HVDC tie-line model -- OVPL
• DOI: 10.1080/23080477.2022.2054197
• Languages: English
• ISSNs: 2308-0477

Abstract

ABSTRACT: This article emphasizes the design and analysis of an optimal intelligent controller for frequency regulation application. The load frequency control (LFC) mechanism is an eminent and essential mechanism to reinstate the system frequency and scheduled tie-line power to their nominal values. Employing an appropriate controller enhances the operation of the LFC mechanism. Hence, this article put forward an adoptive control policy-based fuzzy-fractional ordered PI controller parallel with fractional PIDN controller (i.e., Fuzzy (PI λf )+PI λ DN) for the LFC mechanism. Besides that, a maiden attempt of using a new opposition-learning-based volleyball premier league (OVPL) algorithm is carried out to obtain optimal control parameters. The proposed optimal intelligent controller is explored for a nonlinear multi-area interconnected power system under deregulated environment. The proposed LFC schemes performance has been compared with several popular strategies for step and random perturb in load. Also, the robustness of the proposed scheme has been verified for a wide range of system parameter variations. On the other hand, the modified HVDC tie-line model and the impact of the inertia emulation technique (IET) using converter capacitors on transient behavior are illustrated in this article. Finally, the efficacy of the proposed LFC scheme has been verified over published literature on its platform. Abstract : uf0001