Optimal performance evaluation of thermal AGC units based on multi-dimensional feature analysis

Li, Bin; Wang, Shuai; Li, Botong; Li, Hongbo; Wu, Jianzhong

doi:10.1016/j.apenergy.2023.120994

Cited by 6 publications

(3 citation statements)

References 40 publications

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“…To keep the frequency of the system within allowable bounds, AGC is responsible for controlling the electricity produced by the generating units. [1][2][3] Frequency and power output are just a few of the characteristics that are monitored and controlled by the complex AGC systems. 4 An optimal controller is required to counter this complexity.…”

Section: Introductionmentioning

confidence: 99%

“…AGC, a crucial part of electrical power networks, helps to keep the equilibrium between the generation and consumption of electricity within the MPS. To keep the frequency of the system within allowable bounds, AGC is responsible for controlling the electricity produced by the generating units 1–3 . Frequency and power output are just a few of the characteristics that are monitored and controlled by the complex AGC systems 4 .…”

Section: Introductionmentioning

confidence: 99%

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Enhancing frequency regulation in multi‐area interconnected MPS with virtual inertia using MPC + PIDN controller

Vidyarthi,

Kumar

2024

Optim Control Appl Methods

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The challenge of controlling frequency deviation becomes more difficult as the complexity of a power network increases. The robustness of the controller has a major impact on the stability of a Modern Power system (MPS). Due to the hybridization of MPS basic AGC controllers (PID, FOPID, and TID) are insufficient to give optimal performance of a plant. This requires a robust controller. So, a novel MPC + PIDN controller has been proposed and evaluated by comparing it with several existing controllers, which gives optimal performance in terms of overshoot, undershoot, and settling time. A new modified Opposition‐based Sea‐horse Optimization (OSHO) method has been suggested to optimize the various controller settings. To demonstrate the OSHO's superiority, it is compared with a few popular, existing meta‐heuristic optimizations. The higher penetration levels of RESs reduced system inertia which further deteriorate frequency response in MPS. To overcome these challenges virtual inertia (VI) is implemented with MPC. VI is applied to improve the performance of the AGC of the interconnected MPS along with emphasizing the nature of intermittent renewable energy sources (RESs) of PV and wind energy. To determine the reliability and flexibility of the proposed controller, analysis has been done under a different situation, including step, random disturbances, and modified IEEE‐39 bus. Finally, the stability analysis is performed on a bode plot and the proposed results are compared with previously published literature. The extensive study demonstrates strong evidence that the suggested control approach is efficient and effective.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing frequency regulation in multi‐area interconnected MPS with virtual inertia using MPC + PIDN controller

Vidyarthi,

Kumar

2024

Optim Control Appl Methods

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“…Due to the need for deep peak shaving conditions, the power grid has put forward higher requirements for the coordinated control ability of thermal power plants (Wang et al, 2023b). Therefore, the accurate prediction and improvement of the AGC regulation capability of thermal power plants is of great significance for ensuring the safe operation of the power grid system (Li et al, 2023;Zhou et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

AGC regulation capability prediction and optimization of coal-fired thermal power plants

Jin,

Hao,

Zhang

et al. 2023

Front. Energy Res.

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The improvement of the AGC regulation capability of thermal power plants is very important for the secure and stable operation of the power grid, especially in the situation of large-scale renewable energy access to the power grid. In this study, the prediction and optimization for the AGC regulation capability of thermal power plants is proposed. Firstly, considering parameters related to the AGC regulation of the thermal power plant, the max-relevance and min-redundancy (mRMR) is used to extract features from historical sequences of the parameters. Next, a model with multi-long short-term neural networks (mLSTM) is constructed to predict the AGC regulation capability; that is, the obtained feature set is considered as the inputs of the first LSTM sub-model to predict future values of the main steam pressure and main steam temperature, which are then utilized as the inputs of the second LSTM sub-model to predict the actual power generation during AGC regulation operation. Then, the AGC regulation index is calculated according to the “management rules of grid-connected operation of power plant in Northern China” and “management rules of auxiliary service of the grid-connected power plant in Northern China” (i.e., “two rules”), and it is then considered as the objective function to be maximized by optimizing the coal feed rate, air supply rate, and feedwater flow rate. Finally, the actual AGC regulation process of a 300 MW coal-fired power plant is used as an application, and the results show that the proposed method can effectively predict and improve the regulation capability when the AGC instruction is received from the power grid.

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A cascaded tilt MPC controller for AGC in multi-area interconnected HPS with penetration of RESs and virtual inertia

Vidyarthi,

Kumar

2024

Electr Eng

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Optimal performance evaluation of thermal AGC units based on multi-dimensional feature analysis

Cited by 6 publications

References 40 publications

Enhancing frequency regulation in multi‐area interconnected MPS with virtual inertia using MPC + PIDN controller

Enhancing frequency regulation in multi‐area interconnected MPS with virtual inertia using MPC + PIDN controller

AGC regulation capability prediction and optimization of coal-fired thermal power plants

A cascaded tilt MPC controller for AGC in multi-area interconnected HPS with penetration of RESs and virtual inertia

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