Optimal planning of energy storage system for hybrid power system considering multi correlated input stochastic variables

Optimal planning of energy storage system for hybrid power system considering multi correlated input stochastic variables

This paper formulates a mixed integer non-linear probabilistic optimization planning problem to determine the optimal location, power rating and capacity of compressed air energy storage system (CAES) for a hybrid power system that includes wind and photo-voltaic (PV) energy sources. The Quasi-Monte...

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Bibliographic Details
Main Authors: ALAhmad A.K., Verayiah R., Ramasamy A., Marsadek M., Shareef H.
Other Authors: 58124002200
Format: Article
Published: Elsevier Ltd 2025
Subjects:
Compressed air
Compressed air energy storage
Electric energy storage
Electric loads
Electric power system planning
Genetic algorithms
Integer programming
Intelligent systems
Investments
Multiobjective optimization
Nonlinear programming
Operating costs
Particle swarm optimization (PSO)
Power quality
Pressure vessels
Screening
Stochastic systems
Compressed air energy storage system
Correlated stochastic variable
Multi objective particle swarm optimization
Multi-objective particle swarm optimization
Non-dominated sorting genetic algorithm (NSAGII)
Non-dominated sorting genetic algorithms
Optimal planning
Optimal planning problem
Planning problem
Probabilistic load flow
Quasi-Monte Carlo simulation
Stochastic variable
Storage systems
Monte Carlo methods
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