Computing the Load Margin of Power Systems Using Birds of Prey-Based Optimization Algorithm

The Load Margin (LM) of power systems indicates the maximum system load level that does not cause system instability. Most methods consider a single direction of load growth to calculate the Load Margin. However, different load growth directions can yield different LMs. This paper proposes an optimization model to identify the LM, considering a degree of variability in the load growth direction. The Birds of Prey-Based Optimization Algorithm is applied to the proposed optimization problem to identify the LM.

• Publication year

  2025

• Venue

  2025 IEEE 4th Industrial Electronics Society Annual On-Line Conference (ONCON)

• Publication date

  2025-12-11

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/ONCON68412.2025.11384245
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Advances in Operation, Optimization, and Control of Smart Grids

  2025cited by this paper
• Birds of prey-based optimization (BPBO): a metaheuristic algorithm for optimization

  2025influential reference
• Voltage stability and critical bus detection using a decision tree approach based on PMU measurements

  2025cited by this paper
• ANFIS-PSO-Based Optimization for THD Reduction in Cascaded Multilevel Inverter UPS Systems

  2024cited by this paper
• Research on Quadrotor Control Based on Genetic Algorithm and Particle Swarm Optimization for PID Tuning and Fuzzy Control-Based Linear Active Disturbance Rejection Control

  2024cited by this paper
• Physics-Informed Neural Network for Load Margin Assessment of Power Systems with Optimal Phasor Measurement Unit Placement

  2024cited by this paper
• Research on Oil Well Production Prediction Based on GRU-KAN Model Optimized by PSO

  2024cited by this paper
• Hydropower Plant Available Energy Forecasting Using Artificial Neural Network and Particle Swarm Optimization

  2024cited by this paper
• Comparative analysis of online voltage stability indices based on synchronized PMU measurements

  2024cited by this paper
• Application of cascaded neural network for prediction of voltage stability margin in a solar and wind integrated power system

  2024cited by this paper
• Load Margin Assessment of Power Systems using Recurrent Neural Network and Greylag Goose Optimization

  2024cited by this paper
• Load-frequency and voltage control for power quality enhancement in a SPV/Wind utility-tied system using GA & PSO optimization

  2024cited by this paper
• Load Margin Assessment of Power Systems Using Physics-Informed Neural Network with Optimized Parameters

  2024cited by this paper
• Optimization of numerical and engineering problems using altered differential evolution algorithm

  2024cited by this paper
• Design of Adaptive Damping Controller With Wide-Area Measurements Considering Unknown Power System Dynamics

  2024cited by this paper
• A proposed PMU-based voltage stability and critical bus detection method using artificial neural network

  2024cited by this paper
• Temperature Control Strategy for Hydrogen Fuel Cell Based on IPSO-Fuzzy-PID

  2024cited by this paper
• 10 MW FOWT Semi-Submersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO

  2024cited by this paper
• Wide-Area Measurement-Based Two-Level Control Design to Tolerate Permanent Communication Failures

  2023cited by this paper
• A Particle Swarm Optimization tuned nonlinear PID controller with improved performance and robustness for First Order Plus Time Delay systems

  2023cited by this paper
• Design of a Wide-Area Power System Stabilizer to Tolerate Multiple Permanent Communication Failures

  2023cited by this paper
• PMU-Based Voltage Stability Measurement Under Contingency Using ANN

  2022cited by this paper
• Coordinated Wide-Area Damping Control Using Deep Neural Networks and Reinforcement Learning

  2022cited by this paper
• A method for monitoring the load margin of power systems under load growth variations

  2022cited by this paper
• Load Margin Assessment of Power Systems Using Artificial Neural Network and Genetic Algorithms

  2022cited by this paper
• Optimal Coordinated Control of DC Microgrid Based on Hybrid PSO–GWO Algorithm

  2022cited by this paper
• An approach for monitoring and updating the load margin of power systems in dynamic security assessment

  2021cited by this paper
• A Data-Driven and Data-Based Framework for Online Voltage Stability Assessment Using Partial Mutual Information and Iterated Random Forest

  2021cited by this paper
• Multi-Objective PMU Allocation for Resilient Power System Monitoring

  2020cited by this paper
• Power System Resilience: Current Practices, Challenges, and Future Directions

  2020cited by this paper
• A survey on smart grid technologies and applications

  2020cited by this paper
• Particle Swarm Optimization

  2019cited by this paper
• Remote monitoring system for real time detection and classification of transmission line faults in a power grid using PMU measurements

  2018cited by this paper
• PMU-based voltage stability prediction using least square support vector machine with online learning

  2018cited by this paper
• A Method for Dynamic Security Assessment of Power Systems with Simultaneous Consideration of Hopf and Saddle-Node Bifurcations

  2018influential reference
• Benchmark Models for the Analysis and Control of Small-Signal Oscillatory Dynamics in Power Systems

  2017influential reference
• Assessment of voltage stability margin by comparing various support vector regression models

  2016cited by this paper
• A novel radial basis function neural network principal component analysis scheme for PMU-based wide-area power system monitoring

  2015cited by this paper
• Grey Wolf Optimizer

  2014cited by this paper
• Prediction of loadability margin of power system using Support Vector Machine

  2013cited by this paper
• Real-Time Monitoring of Short-Term Voltage Stability Using PMU Data

  2013cited by this paper
• Online Monitoring of Voltage Stability Margin Using an Artificial Neural Network

  2010cited by this paper
• Event Identification and Contingency Assessment for Voltage Stability via PMU

  2007cited by this paper
• A new continuation power flow tool for investigating the nonlinear effects of transmission branch parameter variations

  2000cited by this paper
• Voltage Stability of Electric Power Systems

  1998cited by this paper
• Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces

  1997cited by this paper
• CPFLOW: a practical tool for tracing power system steady-state stationary behavior due to load and generation variations

  1995cited by this paper
• Fast calculation of a voltage stability index

  1992cited by this paper
• The continuation power flow: a tool for steady state voltage stability analysis

  1991cited by this paper

• No citing papers are available for this paper.