2021
DOI: 10.46792/fuoyejet.v6i4.698
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An Improved Hybrid Micro-Grid Load Frequency Control Scheme for an Autonomous System

Abstract: This paper presents an improved hybrid micro-grid load frequency control scheme for an autonomous system. The micro-grid system comprises of renewable and non-renewable energy-based Power Generating Units (PGU) which consist of Solar Photovoltaic, WT Generator, Solar Thermal Power Generator, Diesel Engine Generator, Fuel Cell (FC) with Aqua Electrolizer (AE). However, power produce from renewable sources in microgrid are intermittent in supply, hence make it difficult to maintain power balance between generate… Show more

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Cited by 4 publications
(5 citation statements)
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“…The objective function of this research is to minimize power losses and improve the voltage profiles of the distribution network. The objective function f is described mathematically by (1).…”
Section: Problem Formulationmentioning
confidence: 99%
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“…The objective function of this research is to minimize power losses and improve the voltage profiles of the distribution network. The objective function f is described mathematically by (1).…”
Section: Problem Formulationmentioning
confidence: 99%
“…Termination Criteria: Check for termination criteria (e.g., a maximum number of iterations or achieving a satisfactory solution). Mathematical representation of levy flight can be accomplished as [1]:…”
Section: Cuckoo Search Algorithmmentioning
confidence: 99%
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“…However, environmental impact was not taken into consideration. Abdulwahab et al, (2021) developed a PV, WT, solar thermal power (STP), diesel engine, fuel cell (FC)) hybrid micro-grid autonomous system. For prolonged and improved energy storage, a combined energy storage system consisting of a battery, ultra-capacitor and a flywheel storage system was used aimed also at improving frequency fluctuations due to load demand using Moth Flame Optimization Algorithm; which recorded a 35.95% improvement compared to Quasioppositional Harmony search Algorithm with respect to overshoot and settling time.…”
Section: Introductionmentioning
confidence: 99%
“…In 10 the particle swarm optimization (PSO) algorithm and in 9 the spider social behavior (SSO) algorithm is used to optimize the PID control parameters in the microgrid. In 11 , the harmonic search (HS) algorithm is used to control the load-frequency in the microgrid. In 12 uses a fuzzy controller whose coefficients are optimized using the PSO algorithm.…”
mentioning
confidence: 99%