A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR Compensator

Abstract

This paper proposes a novel hybrid algorithm combining chaotic Jaya (CJaya) and sequential quadratic programming (SQP), namely CJaya-SQP, for solving the coordinated design problem of static var compensator (SVC) and power system stabilizers (PSSs). The CJaya serves as a global optimizer and the SQP as a local optimizer for fine-tuning the solution. In the proposed algorithm, chaotic maps are used to generate the initial solutions and control the search process. In order to prove the performance of the CJaya-SQP, a set of benchmark optimization problems is used where the results are compared with those of the basic Jaya and other recognized algorithms. The proposed optimization method is then applied for the optimal tuning of PSSs and SVC controllers in such a way that damping ratios and damping factors of the electromechanical modes are optimally improved. To illustrate the robustness of the CJaya-SQP-based coordinated PSSs and SVC controllers, the four-machine, two-area system is used. Eigenvalue analysis and nonlinear time-domain simulation vividly show that the CJaya-SQP-based coordinated controllers improve greatly the system’s dynamic stability with a robust damping of local and inter-area power oscillations.

A Novel Improved Manta Ray Foraging Optimization Approach for Mitigating Power System Congestion in Transmission Network

“…The power system researchers have used deterministic methodologies, which include the classical method of approaches, to analyse the optimum power production and dispatch issue. The optimal power system operations issues have been studied using a variety of traditional approaches such as nonlinear programming [27], quadratic programming [28], and mixed integer programming [29]. The application of these deterministic approaches are restricted to a number of model constraints, including correct application of differentiability and convexity [30].…”

“…Several researchers in their research studies have adopted such similar effective techniques to identify the appropriate solution for optimum power production in order to ensure sustainable power flow through transmission corridors. PSO [19], Gravitational Search Algorithm (GSA) [33] ABC [28], FFA [22], Flower Pollination Algorithm (FPA) [34], Cuckoo Search Algorithm (CSA) [35], and improved Crow Search Algorithm (CSA) [36] are some of such approaches implemented to supervise the optimal power system operations. Suitable assortment and adjustment of the control parameters related to the meta heuristic techniques has a substantial impact on the solution achieved with its application.…”

“…In case of the conventional MRFO, during the exploration stage, the search agent position update is performed based on the Equation (28). This may result in the random movement of the manta ray.…”

Analysis of heat transmission in convective, radiative and moving rod with thermal conductivity using meta-heuristic-driven soft computing technique

“…speed (Yang et al 2021), cost minimization of a hybrid photovoltaic, diesel generator, and battery energy storage system (Tian et al 2021), dynamic combined economic emission dispatch problem (Gul et al 2021), robust design of power system stabilizers and static VAR compensator (Welhazi et al 2022), and transient control of turbofan engines (Wang et al 2021).…”

Solution of Nonlinear Reaction-Diffusion Model in Porous Catalysts Arising in Micro-Vessel and Soft Tissue Using a Metaheuristic

“…Furthermore, Fletcher [57] and Schittkowski [58] are good sources of reference material on SQP methods. Montoya [59], Kim [60], Witkowska [61], Kouzoupis [62], and Welhazi [63] are just a few recent examples of how the technique has been applied to engineering or applied science problems.…”