A Robust Competitive Optimization Algorithm Based Energy Management Control Strategy in a Battery and Ultracapacitor Based Hybrid Energy Storage System

Choudhury, Subhashree; Khandelwal, Nikhil; Satpathy, Anshuman

doi:10.1007/978-981-15-5262-5_81

Cited by 1 publication

(1 citation statement)

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“…It has the characteristics of being lightweight and having compact volume and high reliability. Its ability to function as a buck converter and a boost converter in reverse directions depends on the functioning of two switches that are regulated by a PWM signal [41]. Both switches function simultaneously and alternately.…”

Section: Buck/boost Convertermentioning

confidence: 99%

A Novel Prairie Dog-Based Meta-Heuristic Optimization Algorithm for Improved Control, Better Transient Response, and Power Quality Enhancement of Hybrid Microgrids

Sahoo

Choudhury

Rathore

et al. 2023

Sensors

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The growing demand for electricity driven by population growth and industrialization is met by integrating hybrid renewable energy sources (HRESs) into the grid. HRES integration improves reliability, reduces losses, and addresses power quality issues for safe and effective microgrid (MG) operation, requiring efficient controllers. In this regard, this article proposes a prairie dog optimization (PDO) algorithm for the photovoltaic (PV)-, fuel cell (FC)-, and battery-based HRESs designed in MATLAB/Simulink architecture. The proposed PDO method optimally tunes the proportional integral (PI) controller gain parameters to achieve effective compensation of load demand and mitigation of PQ problems. The MG system has been applied to various intentional PQ issues such as swell, unbalanced load, oscillatory transient, and notch conditions to study the response of the proposed PDO controller. For evaluating the efficacy of the proposed PDO algorithm, the simulation results obtained are compared with those of earlier popular methodologies utilized in the current literature such as bee colony optimization (BCO), thermal exchange optimization, and PI techniques. A detailed analysis of the results found emphasizes the efficiency, robustness, and potential of the suggested PDO controller in significantly improving the overall system operation by minimizing the THD, improving the control of active and reactive power, enhancing the power factor, lowering the voltage deviation, and keeping the terminal voltage, DC-link voltage, grid voltage, and grid current almost constant in the event of PQ fault occurrence. As a result, the proposed PDO method paves the way for real-time employment in the MG system.

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Section: Buck/boost Convertermentioning

confidence: 99%