Optimization of Integrated Hybrid Systems Using Model Predictive Controller

Mary, V. Birunda; Narmadha, T. V.

doi:10.1080/15325008.2023.2218366

Cited by 2 publications

(1 citation statement)

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“…The cost of their upkeep and operations has dramatically dropped recently. By incorporating multiple RESs, such as solar systems, turbines, and possibly diesel generating units for backup, hybrid power sources serve a critical role in guaranteeing a steady energy supply [12]. As a result, combining these hybrid plants with conventional power plants improves their ability to handle efficient loads overall.…”

Section: Introductionmentioning

confidence: 99%

A Proportional-Integral-One Plus Double Derivative Controller-Based Fractional-Order Kepler Optimizer for Frequency Stability in Multi-Area Power Systems with Wind Integration

Alqahtani,

Almutairi,

Aljumah

et al. 2024

Fractal Fract

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This study proposes an enhanced Kepler Optimization (EKO) algorithm, incorporating fractional-order components to develop a Proportional-Integral-First-Order Double Derivative (PI–(1+DD) controller for frequency stability control in multi-area power systems with wind power integration. The fractional-order element facilitates efficient information and past experience sharing among participants, hence increasing the search efficiency of the EKO algorithm. Furthermore, a local escaping approach is included to improve the search process for avoiding local optimization. Applications were performed through comparisons with the 2020 IEEE Congress on Evolutionary Computation (CEC 2020) benchmark tests and applications in a two-area system, including thermal and wind power. In this regard, comparisons were implemented considering three different controllers of PI, PID, and PI–(1+DD) designs. The simulations show that the EKO algorithm demonstrates superior performance in optimizing load frequency control (LFC), significantly improving the stability of power systems with renewable energy systems (RES) integration.

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Section: Introductionmentioning

confidence: 99%