Application of Edge theorem for robust stability analysis of a power system with participating wind power plants in automatic generation control task

The United States electric grid is a complex structure that requires high precision control of frequency and tieline power flows among different generation areas. Highly varying loads introduce a major challenge for the present automatic generation control systems. Arc furnaces, rolling mills and other large motors can create large demands on the system which result in an unsatisfactory area control error (ACE). Recent studies have shown that very-short term load prediction can be incorporated into control schemes which are then able to compensate for the highly varying demand. Using a neural network prediction of the area load a new fuzzy logic controller has been developed that adjusts the set point of the area generation to attempt to match the upcoming changes on the system. Performance of the neural-fuzzy controller in a two-area tie-line model with actual load data from a collaborating utility is demonstrated and compared with the present AGC system through simulations.

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Robust Optimization Algorithms for Solving Automatic Generation Control of Multi-Constrained Power System

Handbook of Research on Power and Energy System Optimization - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-5225-3935-3.ch003 ◽

2018 ◽

pp. 75-114 ◽

Cited By ~ 1

Author(s):

Dipayan Guha ◽

Provas Kumar Roy ◽

Subrata Banerjee

Keyword(s):

Power Systems ◽

Power System ◽

Power Plants ◽

Fitness Function ◽

Automatic Generation ◽

Pid Controllers ◽

Automatic Generation Control ◽

The Stability ◽

Teaching Learning ◽

Generation Control

This chapter presents four effective evolutionary methods, namely grey wolf optimization (GWO), symbiotic organism search (SOS), JAYA, and teaching-learning-based optimization (TLBO), for solving automatic generation control (AGC) problem in power system. To show the effectiveness, two widely used interconnected power plants are examined. To extract maximum possible generation, distinct PID-controllers are designed employing ITAE-based fitness function. Further, to enhance the dynamic stability of concerned power systems, 2DOF-PID controllers are proposed in LFC area and optimally designed using aforesaid algorithms. To demonstrate the supremacy, obtained results are compared with some existing control algorithms. Moreover, robustness of the designed controller is believed under the action of random load perturbation (RLP). Finally, sensitivity analysis is carried out to show the stability of the designed system under loading and parametric disturbance conditions.

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Automatic Generation Control of Nuclear Heating Reactor Power Plants

Energies ◽

10.3390/en11102782 ◽

2018 ◽

Vol 11 (10) ◽

pp. 2782 ◽

Cited By ~ 4

Author(s):

Zhe Dong ◽

Miao Liu ◽

Di Jiang ◽

Xiaojin Huang ◽

Yajun Zhang ◽

...

Keyword(s):

Control System ◽

Power Plant ◽

Power Plants ◽

Automatic Generation ◽

Reactor Power ◽

Disturbance Attenuation ◽

Automatic Generation Control ◽

Nuclear Heating Reactor ◽

Nuclear Heating ◽

Generation Control

A nuclear heating reactor (NHR) is a typical integral pressurized water reactor (iPWR) with advanced design features such as an integral primary circuit, self-pressurization, full-power-range natural circulation, and hydraulic control rods. Through adjusting its electric power output according to the variation of demand, NHR power plants can be adopted to stablize the fluctuation of grid frequency caused by the intermittent nature of renewable generation, which is useful for deepening the penetration of renewables. The flexibility of an NHR power plant relies on the automatic generation control (AGC) function of the plant coordination control system, whose central is the AGC law. In this paper, the plant control system with AGC function is designed for NHR plants, where the AGC is realized based on the stabilizers of grid frequency and main steam pressure. Then, the AGC problem is transferred to the disturbance attenuation problem of a second-order dynamic system, and an active disturbance attenuation control (ADRC), which is just the addition of a feedback control given by a proportional‒integral (PI) law and a feedforward control driven by a disturbance observer (DO), is then proposed. Finally, this ADRC is applied to realize the AGC function for NHR-200II reactor power plant, and numerical simulation results show the implementation feasibility and satisfactory performance.

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