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Particle Swarm Algorithm Based Economic Scheduling Strategy for Pumped Storage Wind Farms
- 1 School of Automation, Central South University, Changsha, China
* Author to whom correspondence should be addressed.
Abstract
With the goal of maximizing the benefits of Contained Storage wind farm, a particle swarm algorithm based simulation analysis is proposed for the optimized operation of Contained Storage wind farm . The simulation results show that the optimized operation and power supply of Contained Storage Wind Farm not only improves the benefit of the wind farm, but also smoothes the power output of the wind farm, which will be helpful to increase the share of wind power in the power system.
Keywords
particle swarm algorithm , pumped storage, wind farm, economic dispatching
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Cite this article
Li,J. (2025). Particle Swarm Algorithm Based Economic Scheduling Strategy for Pumped Storage Wind Farms. Applied and Computational Engineering,156,11-17.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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