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Discrete particle swarm optimization algorithm for unit commitment

https://doi.org/10.1109/pes.2003.1267212
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1049/ip-gtd:20000173openalex-snapshot
Lambda of Lagrangian relaxation solution to unit commitment problem
inferredcites →https://doi.org/10.1049/ip-gtd:20010022openalex-snapshot
Knowledge-based genetic algorithm for unit commitment
inferredcites →https://doi.org/10.1109/59.336106openalex-snapshot
Ramp-rate limits in unit commitment and economic dispatch incorporating rotor fatigue effect
inferredcites →https://doi.org/10.1109/59.466524openalex-snapshot
Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation
inferredcites →https://doi.org/10.1109/59.485989openalex-snapshot
A genetic algorithm solution to the unit commitment problem
inferredcites →https://doi.org/10.1109/59.536120openalex-snapshot
Genetic-based unit commitment algorithm
inferredcites →https://doi.org/10.1109/59.651636openalex-snapshot
A simulated annealing algorithm for unit commitment
inferredcites →https://doi.org/10.1109/59.898095openalex-snapshot
A particle swarm optimization for reactive power and voltage control considering voltage security assessment
inferredcites →https://doi.org/10.1109/59.982197openalex-snapshot
Unit commitment solution methodology using genetic algorithm
inferredcites →https://doi.org/10.1109/cec.1999.785511openalex-snapshot
Empirical study of particle swarm optimization
inferredcites →https://doi.org/10.1109/icec.1998.699327openalex-snapshot
Using selection to improve particle swarm optimization
inferredcites →https://doi.org/10.1109/icnn.1995.488968openalex-snapshot
Particle swarm optimization
inferredcites →https://doi.org/10.1109/icpeices.2016.7853075openalex-snapshot
Genetic algorithm solution to unit commitment problem
inferredcites →https://doi.org/10.1109/mper.2002.4311693openalex-snapshot
Unit Connuitment Solution Methodology Using Genetic Algorithm
inferredcites →https://doi.org/10.1109/pess.2001.970272openalex-snapshot
Particle swarm optimization for multimachine power system stabilizer design

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Hybrid Particle Swarm Optimization Solution To Ramping Rate Constrained Dynamic Economic Dispatch
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Unit commitment using a new integer coded genetic algorithm
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Supply Chain Optimization Based on Improved PSO Algorithm
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A PSO Based Smart Unit Commitment Strategy for Power Systems Including Solar Energy
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Application of Artificial Intelligence-Based Solution Methodology in Generation Scheduling Problem
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An implementation of harmony search algorithm to unit commitment problem
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Hybrid HS–random search algorithm considering ensemble and pitch violation for unit commitment problem
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A novel hybrid DE–random search approach for unit commitment problem
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Unit commitment scheduling using binary differential evolution algorithm
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A New Heuristic Approach for Unit Commitment Problem Using Particle Swarm Optimization
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Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power
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Unit commitment considering generator outages through a mixed-integer particle swarm optimization algorithm
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A primary unit commitment approach with a modification process
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Unit commitment with energy dispatch using a computationally efficient encoding structure
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A new three-stage method for solving unit commitment problem
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A binary symmetric based hybrid meta-heuristic method for solving mixed integer unit commitment problem integrating with significant plug-in electric vehicles
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Electricity generation scheduling with large-scale wind farms using particle swarm optimization
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Short-term scheduling of thermal power systems using hybrid gradient based modified teaching–learning optimizer with black hole algorithm
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Optimal size allocation of superconducting magnetic energy storage system based unit commitment
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Lagrangian relaxation hybrid with evolutionary algorithm for short-term generation scheduling
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Implementation of clustering based unit commitment employing imperialistic competition algorithm
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Solution to unit commitment in power system operation planning using binary coded modified moth flame optimization algorithm (BMMFOA): A flame selection based computational technique
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A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem
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Optimal power dispatch in wind farm based on reduced blade damage and generator losses
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Solving unit commitment problem by a binary shuffled frog leaping algorithm
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New self‐adaptive bat‐inspired algorithm for unit commitment problem
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Unit commitment problem solution using Local Attracting Quantum PSO algorithm
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Thermal Unit Commitment Using Hybrid Binary Particle Swarm Optimization and Genetic Algorithm
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Joint optimal operation of wind farms and pumped storage power station
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LRGA for solving profit based generation scheduling problem in competitive environment
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A modified hybrid particle swarm optimization approach for unit commitment
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Improved multi-objective evolutionary algorithm for day-ahead thermal generation scheduling
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A Novel Binary Jaya Optimization for Economic/Emission Unit Commitment
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Unit commitment using dynamic programing for planning optimization and emission reduction
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Binary teaching-learning based optimization for power system unit commitment
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A solution to transmission-constrained unit commitment using hunting search algorithm
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Integrating large scale wind farms in fuzzy mid term unit commitment using PSO
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A Novel Binary Social Learning Particle Swarm Optimizer for Power System Unit Commitment
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Optimal selection of capacitors in distribution networks for voltage stabilization and loss reduction
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Quick Algorithm for Unit Commitment Based on Relaxation and Neighborhood Search
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Solution to Unit Commitment Using Lagrange Relaxation with Whale Optimization Method
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Grey Wolf Optimizer algorithm-based unit commitment problem
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Gbest based Artificial Bee Colony optimization for unit commitment problem
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Unit Commitment Problems in Power Systems With Wind Farms Based on Probability Offset Binary Particle Swarm Optimization Algorithm
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Unit Commitment Problem Solution Using Binary PSO Algorithm
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A heuristic to generate initial feasible solutions for the Unit Commitment problem
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Evolutionary computation based unit commitment using Hybrid Priority List approach
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An application of Differential Evolution technique on unit commitment problem using Priority List approach
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Generation Scheduling of Electricity with Integrated Wind-Thermal Units using Grey Wolf Optimization Algorithm
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Finding Base-Station Locations in Two-Tiered Wireless Sensor Networks by Particle Swarm Optimization
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Consistent Map Building Based on Sensor Fusion for Indoor Service Robot
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Solving Unit Commitment Including Wind Power Generation Using PSS®E
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