Research on multi-condition and multi-objective control of pumped storage unit optimized by improved multi-objective particle swarm optimization algorithm

In order to maintain good control quality of the pumped storage unit regulation system during the switching of operating conditions, a multi-objective optimization framework based on improved multi-objective particle swarm optimization algorithm is proposed, which takes into account the control stab...

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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 2752; no. 1; pp. 12144 - 12158
Main Authors: Jiang, Xiaoping, Xiu, Tianning, Yu, Hao
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.06.2024
Subjects:
Adaptive algorithms
Control stability
Controllers
Multiple objective analysis
Optimal control
Optimization algorithms
Parameter robustness
Particle swarm optimization
Proportional integral derivative
Pumped storage
Robust control
Storage units
Working conditions
ISSN:1742-6588, 1742-6596
Online Access:Get full text
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Summary:In order to maintain good control quality of the pumped storage unit regulation system during the switching of operating conditions, a multi-objective optimization framework based on improved multi-objective particle swarm optimization algorithm is proposed, which takes into account the control stability, rapidity and robustness under multiple working conditions. Firstly, the fractional order PID controller with higher applicability and flexibility is introduced to replace the traditional PID controller. Then, an objective function considering the ITAE index of low-head and medium-high-head conditions is constructed. On this basis, the multi-objective particle swarm optimization algorithm with pigeon swarm search operator, adaptive Cauchy mutation strategy and improved initialization method is used to optimize the controller parameters, and the multi-condition and multi-objective fractional order PID optimal control of pumped storage unit regulation system is realized. Through simulation, it is proved that the controller parameters based on the framework optimization proposed in this paper have strong adaptability and robustness under different working conditions, which provides a new idea for the optimal control of pumped storage unit regulation system.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2752/1/012144