Dandelion Optimizer-Based Frequency Controller for a Hybrid power systems Considering Renewables

Abdelkader, Ahmed Essam; Magdy, Gaber; elhady, basem; Ahmed, Ayman EM; Mansour, Naema M.

doi:10.21608/sceee.2024.294718.1031

	Dandelion Optimizer-Based Frequency Controller for a Hybrid power systems Considering Renewables
Suez Canal Engineering, Energy and Environmental Science
Volume 2, Issue 2, October 2024, Page 8-16 PDF (660.21 K)
Document Type: Original Article
DOI: 10.21608/sceee.2024.294718.1031
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Authors
Ahmed Essam Abdelkader ¹; Gaber Magdy²; basem elhady³; Ayman EM Ahmed⁴; Naema M. Mansour³
¹Faculty of Engineering, King Salman International University, El-Tor 46511, Egypt,
²Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt, Faculty of Engineering, King Salman International University, El-Tor 46511,
³Electrical Power and Machines Department, Faculty of Engineering Suez Canal University, Ismailia, Egypt,
⁴Faculty of Engineering, King Salman International University, El-Tor 46511, Egypt
Abstract
For power quality enhancement, voltage, frequency, and power flow between control areas in an interconnected power system are required to be maintained. Hence, the voltage and frequency should be continuously controlled to maintain the balance of real and reactive power during load variation. Integration of renewable energy sources (RES) in the power system leads to inertia losses and mismatches between load demand and generation capacity; hence, the load frequency controller should overcome these challenges. In this paper, a Dandelion optimizer (DO)-based tilted-integral-derivative (TID) controller is introduced for load frequency control (LFC) of a single-area power system considering renwables pentration. A single-area power system with both solar and wind power plants as renewables and reheat-thermal, hydraulic, and gas power plants as conventional power plants is modeled using the Matlab toolbox. The controller-based DO optmizer is tested under different loading variations to verify its robustness. The sperm swarm and black widow optimization algorithms are compared with the introduced algorithm to verify its superior dynamic responses for loading variation.
Keywords
Load frequency control; Hybrid power systems; TID controller; Dandelion Optimizer


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