A New Heliostat Field Optimal Design Strategy for Deformable Petal Hybrid Layout of Concentrated Solar Power via Multi-algorithm Filtering

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122612 - 122612

Published: Feb. 1, 2025

Language: Английский

Large-Scale Optimization among Photovoltaic and Concentrated Solar Power Systems: A State-of-the-Art Review and Algorithm Analysis

Energies, Journal Year: 2024, Volume and Issue: 17(17), P. 4323 - 4323

Published: Aug. 29, 2024

Large-scale optimization (LSO) problems among photovoltaic (PV) and concentrated solar power (CSP) systems are attracting increasing attention as they help improve the energy dispatch efficiency of PV CSP to minimize costs. Therefore, it is necessary urgent systematically analyze summarize various LSO methods showcase their advantages disadvantages, ensuring efficient operation hybrid comprising different systems. This paper compares analyzes latest for based on meta-heuristic algorithms (i.e., Particle Swarm Optimization, Genetic Algorithm, Enhanced Gravitational Search Grey Wolf Optimization), numerical simulation stochastic Constraint Programming, Linear Dynamic Programming Optimization Derivative-Free machine learning-based AI (Double Grid Support Vector Machine, Long Short-Term Memory, Kalman Filter, Random Forest). An in-depth analysis A comparison essence applications these conducted explore characteristics suitability or The research results demonstrate specificities algorithms, providing valuable insights researchers with diverse interests guiding selection most appropriate method solution algorithm in also offers useful references suggestions extracting challenges proposing corresponding solutions guide future development.

Language: Английский

Centralized Photovoltaic Heliostat Field Layout and Optical Perception Optimization Based on Improved Dung Beetle Optimization Algorithm

International Journal of Engineering and Technology Innovation, Journal Year: 2024, Volume and Issue: 15(1), P. 85 - 98

Published: Oct. 1, 2024

The gradual depletion of fossil fuels underscores the pressing need for technological advancements in renewable energy. These technologies are essential to address inefficiencies power generation from heliostat fields. This paper proposes an innovative field layout model aimed at significantly enhancing efficiency photovoltaic generation. By carefully optimizing positioning, height, and size heliostats, results a substantial increase annual heat output. Additionally, improved Dung Beetle optimization algorithm (RCDBO) is introduced, which integrates random walk cross strategy enhance solving accuracy while effectively avoiding premature convergence. Simulations demonstrate that proposed achieves 3% compared traditional DBO algorithm, confirming superiority RCDBO algorithm.

Language: Английский