Study on AGC strategy involving the frequency control of HVDC power regulation

Chen, Gang; Fan, Chunju; Zhu, Tong; Teng, Yufei; Shi, Huabo; Xiong, Xiang

doi:10.1016/j.egyr.2022.02.196

Cited by 7 publications

(1 citation statement)

References 9 publications

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“…FR technology is critical to the power grid. Its purpose is to realize the output adjustment of each generator set in the control area through the controller when the power grid is disturbed by load changes so as to ensure that the frequency of the power system is always maintained in a safe range, which is the inevitable premise for the power system to achieve quality and quantity assurance and reliable power supply (Chen et al, 2020;Zhang et al, 2019). The traditional power system FR task is mainly undertaken by thermal power and hydropower units, whose inertia of regulation is too large to quickly respond to the power input command.…”

Section: Introductionmentioning

confidence: 99%

Optimal Coordinated Frequency Regulation of Renewable Energy Systems via an Equilibrium Optimizer

Zhao

Huan²,

Xin³

et al. 2022

Front. Energy Res.

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With the urgency of environmental protection, wind power and photovoltaic (PV) projects are continued to be implemented, and the proportion of renewable energy in the power grid will be higher and higher. Therefore, wind power and PV also began to participate in the regional power grid frequency regulation (FR) and have gradually replaced the role of thermal power units in the power grid. To study the characteristics of renewable energy in frequency modulation, an automatic generation control (AGC) model of wind power and photovoltaic participating in the power grid FR is established. At the same time, an equilibrium optimization is proposed to allocate the total power in real-time so as to improve the FR performance by quickly obtaining the optimal power distribution scheme. The simulation results of the proposed model show that the proposed method is feasible. At the same time, the proposed method is compared with the genetic algorithm (GA), which proves the superiority of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Optimal Coordinated Frequency Regulation of Renewable Energy Systems via an Equilibrium Optimizer

Zhao

Huan²,

Xin³

et al. 2022

Front. Energy Res.

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Improving PID Controller Performance in Nonlinear Oscillatory Automatic Generation Control Systems Using a Multi-objective Marine Predator Algorithm with Enhanced Diversity

Yang,

Gao,

et al. 2024

J Bionic Eng

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Power systems are pivotal in providing sustainable energy across various sectors. However, optimizing their performance to meet modern demands remains a significant challenge. This paper introduces an innovative strategy to improve the optimization of PID controllers within nonlinear oscillatory Automatic Generation Control (AGC) systems, essential for the stability of power systems. Our approach aims to reduce the integrated time squared error, the integrated time absolute error, and the rate of change in deviation, facilitating faster convergence, diminished overshoot, and decreased oscillations. By incorporating the spiral model from the Whale Optimization Algorithm (WOA) into the Multi-Objective Marine Predator Algorithm (MOMPA), our method effectively broadens the diversity of solution sets and finely tunes the balance between exploration and exploitation strategies. Furthermore, the QQSMOMPA framework integrates quasi-oppositional learning and Q-learning to overcome local optima, thereby generating optimal Pareto solutions. When applied to nonlinear AGC systems featuring governor dead zones, the PID controllers optimized by QQSMOMPA not only achieve 14$$\%$$ % reduction in the frequency settling time but also exhibit robustness against uncertainties in load disturbance inputs.

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An extended SFR model based fast frequency security assessment method for power systems

et al. 2023

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Study on AGC strategy involving the frequency control of HVDC power regulation

Cited by 7 publications

References 9 publications

Optimal Coordinated Frequency Regulation of Renewable Energy Systems via an Equilibrium Optimizer

Optimal Coordinated Frequency Regulation of Renewable Energy Systems via an Equilibrium Optimizer

Improving PID Controller Performance in Nonlinear Oscillatory Automatic Generation Control Systems Using a Multi-objective Marine Predator Algorithm with Enhanced Diversity

An extended SFR model based fast frequency security assessment method for power systems

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