Enhancement of frequency stability of power systems integrated with wind energy using marine predator algorithm based PIDA controlled STATCOM

Yakout, Ahmed H.; Sabry, W.; Abdelaziz, Almoataz Y.; Hasanien, Hany M.; AboRas, Kareem M.; Kotb, Hossam

doi:10.1016/j.aej.2021.11.011

Cited by 17 publications

(6 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Original MPA MPA proposed a novel optimized Proportional-Integral-Derivative-Acceleration (PIDA) controlled static synchronous compensator (STATCOM) to improve the frequency response of power systems through reactive power modulation [164] Economic emission dispatch…”

Section: Pida Load Frequency Controllermentioning

confidence: 99%

Marine Predators Algorithm: A Review

Al-Betar

Awadallah

Makhadmeh

et al. 2023

Arch Computat Methods Eng

View full text Add to dashboard Cite

Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed from widespread foraging mechanisms based on Lévy and Brownian movements in ocean predators. Due to its superb features, such as derivative-free, parameter-less, easy-to-use, flexible, and simplicity, MPA is quickly evolved for a wide range of optimization problems in a short period. Therefore, its impressive characteristics inspire this review to analyze and discuss the primary MPA research studies established. In this review paper, the growth of the MPA is analyzed based on 102 research papers to show its powerful performance. The MPA inspirations and its theoretical concepts are also illustrated, focusing on its convergence behaviour. Thereafter, the MPA versions suggested improving the MPA behaviour on connecting the search space shape of real-world optimization problems are analyzed. A plethora and diverse optimization applications have been addressed, relying on MPA as the main solver, which is also described and organized. In addition, a critical discussion about the convergence behaviour and the main limitation of MPA is given. The review is end-up highlighting the main findings of this survey and suggests some possible MPA-related improvements and extensions that can be carried out in the future.

show abstract

Section: Pida Load Frequency Controllermentioning

confidence: 99%

Marine Predators Algorithm: A Review

Al-Betar

Awadallah

Makhadmeh

et al. 2023

Arch Computat Methods Eng

View full text Add to dashboard Cite

show abstract

“…This research made minor adjustments to the model data and setup that were utilized in [27], but otherwise, the two were identical. In order to compare with [35], a 600 MVAR STATCOM unit has been linked to the system through bus 3. Moreover, a simulated load change perturbation is created by applying a controlled dynamic load on bus 1 that has the identical rating as the 967 MW/87 MVAR load, whereas the load in region 2 is simulated by a constant load.…”

Section: A the Description Of The Kundur Systemmentioning

confidence: 99%

“…Loads, regardless of whether dynamic or static, is proportional to V 2 . The prementioned assumptions are taken into consideration in order to provide us with the ability to evaluate how impactful the suggested ARO-based PD-PIDA controlled STATCOM is at controlling the grid frequency in comparison to the STAT-COM controlled by MPA-based PIDA regulator described in the earlier research [35].…”

Section: A the Description Of The Kundur Systemmentioning

confidence: 99%

“…This configuration has the ability to increase the frequency response by applying VAR modulation. In addition, the authors of [35] have presented a controller based STATCOM as a means of further improving the frequency performance of a wind farm integrated power system. They suggested the use of the well-known PIDA controller, which has been shown to be effective in a large number of published research due to its capacity to improve the dynamic characteristics of systems due to the fact that, in comparison to a traditional PID controller it can provide two extra zeros to its formula.…”

Section: Introduction a Background And Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Improvement of Frequency Regulation of a Wind-Integrated Power System Based on a PD-PIDA Controlled STATCOM Tuned by the Artificial Rabbits Optimizer

Neamah,

AbuHussein,

Hossam-Eldin

et al. 2023

IEEE Access

Self Cite

View full text Add to dashboard Cite

In this research, a novel optimized Proportional-Derivative with Proportional-Integral-Derivative-Acceleration (PD-PIDA) driven static synchronous compensator (STATCOM) is proposed with the goal of improving the frequency performance of power systems through the manipulation of reactive power. When there is a variation in load or when there is a failure of generation, the presented controller is able to maintain the frequency of the system within the allowable limits (±2% as per IEC 60034-1 standard). A recently developed metaheuristic optimization strategy known as the Artificial Rabbits Optimizer, or ARO, is used to do the fine-tuning the PD-PIDA controller's gain settings. In addition to this, the functionality of the ARO-based PD-PIDA-controlled STATCOM is evaluated in the context of two IEEE standard systems: the two-area four-machine system (Kundur system) and the New England IEEE 39-bus system. According to the outcomes, the ARO-based PD-PIDA controller can give a superior frequency response than the PIDA controller whose parameters are optimized by Marine Predator Algorithm (MPA) that was published in the prior literature. This was determined by comparing the two controllers. In addition, the proposed controller's resiliency is tested by integrating case studies with wind generation. This helps to ensure that the controller is fit for purpose. In every single one of the examples that were researched, the application of the ARO-based PD-PIDA-controlled STATCOM resulted in a remarkable boost in the frequency performance. Additionally, the outputs are introduced in the form of time domain simulations that were carried out with MATLAB/SIMULINK.

show abstract

“…Optimization strategies to determine the parameters of the controller are equally important in the field of LFC. Researchers in the field of LFC have used a variety of optimization techniques, such as Artificial Electric Field Algorithm (AEFA) [18] FOTID controller optimized with Path Finder Algorithm (FPA) [19], Fitness Dependent Optimizer (FDO) [20], Grasshopper Optimization Algorithm (GOA) [21], Firefly Algorithm (FA) [22], Harries Hawks Optimizer (HHO) [23], Frog Leaping Algorithm (FLA) [24], Marine Predator Algorithm (MPA) [25], Imperialist Competitive Algorithm (ICA) [26], Gray Wolf Optimizer (GWO) [27], Sine Cosine Algorithm (SCA) [28], Fuzzy PID controller optimized with Improved Ant Colony Optimization (IACO) [29], Atomic Search Optimization (ASO) [30], Improved Fitness Dependent Optimizer (I-FDO) [31], Hybrid PSO based Gravitational Search Optimization (GSO) [32], Volleyball Premier League (VPL) based optimized fractional order control [33], Hybrid Differential Evolution (DE) with Pattern Search (PS) algorithm [? ], Hybrid Teaching-Learning Optimization with PS [34], Water Cycle Algorithm (WCA) based optimized I-TD controller [35] , Gorilla Troops Optimizer [36] and Salp Swarm Algorithm (SSA) [37] algorithm.…”

Section: A Literature Reviewmentioning

confidence: 99%

Optimized Fractional Order Integral-Tilt Derivative Controller for Frequency Regulation of Interconnected Diverse Renewable Energy Resources

et al. 2022

View full text Add to dashboard Cite

The interconnection of renewable energy systems, which are complex nonlinear systems, often results in power fluctuations in the interconnection line and high system frequency due to insufficient damping in extreme and dynamic loading situations. To solve this problem, load frequency control ensures nominal operating frequency and orderly fluctuation of grid interconnection power by delivering highquality electric power to energy consumers through efficient and intelligent control systems. To introduce the frequency control of power systems, this paper presents a novel control technique of Fractional Order Integral-Tilt Derivative with Filter (FOI-TDN) controller optimized by the current soft computing technique of hybrid Sine-Cosine algorithm with Fitness Dependent Optimizer (hSC-FDO). For more realistic analysis, practical constraints with nonlinear features, such as controller deadband, communication time delay, boiler dynamics, and generation rate constraint are embedded in the given system model. The proposed approach outperforms some recently developed heuristic approaches such as fitnessdependent optimizer, firefly algorithm, and particle swarm optimization for the interconnected power system of two areas with multiple generating units in terms of minimum undershoot, overshoot, and settling time. To improve the system performance, capacitive energy storage devices are used in each area and Thyristor control phase shifter is used in the interconnection line of the power system. The potential of the hSC-FDO-based FOI-TDN is demonstrated by comparing it with conventional FOTID/FOPID/PID controllers for two areas with multiple power generators IPS. Finally, a robustness analysis is performed to determine the robustness of the presented control system by varying the system loads and system parameters.

show abstract

Enhancement of frequency stability of power systems integrated with wind energy using marine predator algorithm based PIDA controlled STATCOM

Cited by 17 publications

References 35 publications

Marine Predators Algorithm: A Review

Marine Predators Algorithm: A Review

Improvement of Frequency Regulation of a Wind-Integrated Power System Based on a PD-PIDA Controlled STATCOM Tuned by the Artificial Rabbits Optimizer

Optimized Fractional Order Integral-Tilt Derivative Controller for Frequency Regulation of Interconnected Diverse Renewable Energy Resources

Contact Info

Product

Resources

About