Enhancing load frequency control and automatic voltage regulation in Interconnected power systems using the Walrus optimization algorithm
This paper introduces the Walrus Optimization Algorithm (WaOA) to address load frequency
control and automatic voltage regulation in a two-area interconnected power systems. The …
control and automatic voltage regulation in a two-area interconnected power systems. The …
[HTML][HTML] Sliding mode control based dynamic voltage restorer for voltage sag compensation
The reliability and efficiency of electrical power systems are critical for modern industries,
which increasingly rely on electric machines and devices. However, power electronic …
which increasingly rely on electric machines and devices. However, power electronic …
[HTML][HTML] Incorporating adaptive local search and experience-based perturbed learning into artificial rabbits optimizer for improved DC motor speed regulation
The widespread utilization of direct current (DC) motors in real-life engineering applications
has led to the need for precise speed control, making controllers a crucial aspect of DC …
has led to the need for precise speed control, making controllers a crucial aspect of DC …
[HTML][HTML] A hybrid optimization algorithm based on cascaded (1+ PI)-PI-PID controller for load frequency control in interconnected power systems
Electric power generation is crucial for electrical systems, and load frequency control (LFC)
ensures system synchronization and reliability. Modern systems use well-designed …
ensures system synchronization and reliability. Modern systems use well-designed …
[HTML][HTML] Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Chaotic Newton-Raphson-Based Optimizer
This paper presents a novel improved metaheuristic algorithm, Chaotic Newton-Raphson-
Based Optimizer (CNRBO), for the Proton Exchange Membrane Fuel Cells (PEMFCs) …
Based Optimizer (CNRBO), for the Proton Exchange Membrane Fuel Cells (PEMFCs) …
[HTML][HTML] Load frequency control in renewable based micro grid with Deep Neural Network based controller
Microgrids (MGs) offer numerous technical, economic, and environmental benefits, yet they
face challenges due to high-frequency deviations caused by the unpredictable nature of the …
face challenges due to high-frequency deviations caused by the unpredictable nature of the …
A state-of-the-art review on concurrent voltage and frequency regulation problems in renewable integrated power networks
The growing demand for electricity has intensified the shift toward renewable energy
sources like wind and solar, which are environmentally friendly due to their zero carbon …
sources like wind and solar, which are environmentally friendly due to their zero carbon …
[HTML][HTML] Fuzzy logic-based smart control of wind energy conversion system using cascaded doubly fed induction generator
This paper introduces a robust system designed to effectively manage and enhance the
electrical output of a Wind Energy Conversion System (WECS) using a Cascaded Doubly …
electrical output of a Wind Energy Conversion System (WECS) using a Cascaded Doubly …
[HTML][HTML] Multi-objective Newton-Raphson-Based Optimizer for Fractional-Order Control of PEM Fuel Cells
This paper proposes a novel Multi-objective Newton-Raphson-based Optimizer (MONRBO)
for solving multi-objective optimization problems. The proposed algorithm adopts the …
for solving multi-objective optimization problems. The proposed algorithm adopts the …
A mMSA-FOFPID controller for AGC of multi-area power system with multi-type generations
The exceptional growth in the penetration of renewable sources as well as complex and
variable operating conditions of load demand in power system may jeopardize its operation …
variable operating conditions of load demand in power system may jeopardize its operation …