Multi-Objective Optimization and Adaptive Control for Frequency Regulation of Hydropower Units Under Variable Operating Conditions

As a key part of the new power system, hydropower units (HPUs) are capable of maintaining the stability of system frequency through the flexible conversion of operating conditions. Fixed control parameters are generally adopted by existing HPU governors, which cannot meet the requirements of variable operating conditions, and the flexibility of hydropower regulation is thus restricted. Therefore, an adaptive optimal control strategy for units in frequency regulation mode is proposed for a large hydropower station in this paper. Firstly, a segmented linearized mathematical model for HPU frequency regulation is established. On this basis, objective functions under frequency and load perturbation are constructed. Control parameters under each operating condition are optimized via an improved multi-objective particle swarm optimization based on the objective functions. The nonlinear relationship between optimal control parameters and operating conditions is fitted to obtain the adaptive adjustment strategy. Comparative verification with the fixed-parameter strategy shows that the proposed strategy improves comprehensive performance (frequency adjustment and recovery time) under 48 operating conditions. The improvement rate exceeds 50% under large opening conditions, with an overall average of 51.01%, fully proving its superiority.

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Publication Details

Journal
Water
Published
2026-04-07
DOI
https://doi.org/10.3390/w18070881
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-Objective Optimization and Adaptive Control for Frequency Regulation of Hydropower Units Under Variable Operating Conditions

Xiaoyuan Zhang, Xiaoqiang Tan, Chen Li
Water
Frequency Control in Power Systems
article

Multi-Objective Optimization and Adaptive Control for Frequency Regulation of Hydropower Units Under Variable Operating Conditions

Xiaoyuan Zhang, Xiaoqiang Tan, Chen Li
article en

Abstract

As a key part of the new power system, hydropower units (HPUs) are capable of maintaining the stability of system frequency through the flexible conversion of operating conditions. Fixed control parameters are generally adopted by existing HPU governors, which cannot meet the requirements of variable operating conditions, and the flexibility of hydropower regulation is thus restricted. Therefore, an adaptive optimal control strategy for units in frequency regulation mode is proposed for a large hydropower station in this paper. Firstly, a segmented linearized mathematical model for HPU frequency regulation is established. On this basis, objective functions under frequency and load perturbation are constructed. Control parameters under each operating condition are optimized via an improved multi-objective particle swarm optimization based on the objective functions. The nonlinear relationship between optimal control parameters and operating conditions is fitted to obtain the adaptive adjustment strategy. Comparative verification with the fixed-parameter strategy shows that the proposed strategy improves comprehensive performance (frequency adjustment and recovery time) under 48 operating conditions. The improvement rate exceeds 50% under large opening conditions, with an overall average of 51.01%, fully proving its superiority.

WaterVol. 18(7)
North China University of Water Resources and Electric Power (CN), Henan University of Technology (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Henan Provincial Science and Technology Research Project
Affordable and clean energy
Openalex Percentile: Top 23%
Frequency Control in Power Systems
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