scholarly journals Automatic Generation Control in a Smart Grid using Electrical vehicle as a Battery Energy Storage System

2019 ◽  
Vol 8 (4) ◽  
pp. 2390-2395
Keyword(s):  
Smart Grid ◽  
Wind Power ◽  
Frequency Control ◽  
Automatic Generation ◽  
Load Frequency Control ◽  
Load Variation ◽  
Load Frequency ◽  
Battery Energy ◽  
Generation Control ◽  
Sudden Load

The Load Frequency Control (LFC) problem in a smart grid is presented in this paper. For the visualization of the problem, an isolated two area restructured power system contains thermal-thermal non-reheat unit with distributed wind energy system considered. In the study presented here efforts have been put to visualize and realize the LFC problem because of sudden load variation and uneven wind power in the smart grid. The generators are assumed working in Automatic Generation Control (AGC) mode under the bilateral market contract to meet the load demand. For visualization of load frequency control problem with local load variation of +20% and wind power which further add in sudden load deviation has been considered. Generators running under AGC mode are facing the cyclic and random load frequency fluctuations due to this sudden load variation and grid-connected wind power. In this way to enhance the solution the grid-connected aggregated EV batteries are used in distribution areas in the simulation with charging and discharging mode as distributed battery energy storage. The effect of grid-connected EV has studied for the improvement in stability as well as system dynamic response. From the results it is observed that the peak overshoots and settling time in load frequency fluctuations have minimized during the sudden load variation and wind power fluctuations

scholarly journals Robust Stabilizing Controllers to Automatic Generation Control for Load Frequency Control Application

2010 ◽  
Vol 2 (2) ◽  
pp. 285-293 ◽  
Author(s):  
M. R. I. Sheikh ◽  
R. Takahashi ◽  
J. Tamura
Keyword(s):  
Power System ◽  
Magnetic Energy ◽  
Control Strategies ◽  
Frequency Control ◽  
Automatic Generation ◽  
Load Frequency Control ◽  
Automatic Generation Control ◽  
Load Frequency ◽  
Self Tuning ◽  
Generation Control

Since superconducting magnetic energy storage (SMES) unit with a self-commutated converter is capable of controlling both the active and reactive powers simultaneously and quickly, increasing attention has been focused recently on power system stabilization by SMES control. This study presents the effects of novel control strategies of self-tuned fuzzy proportional integral (FPI) controller and fuzzy frequency (FF) controller associated with the automatic generation control (AGC) including SMES unit. The effects of the self-tuning configuration with FPI controller in AGC is also compared with that of FF controlled AGC on SMES control. The simulation results show that both self tuning control schemes of AGC are very effective in damping out of the oscillations caused by load disturbances and it is also seen that the FF controlled AGC with SMES perform better primary frequency control compared to FPI controlled AGC with SMES. Keywords: Load frequency control; Single area power system; FPI controller; FF controller; SMES unit. © 2010 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.    DOI: 10.3329/jsr.v2i2.3063               J. Sci. Res. 2 (2), 285-293 (2010) 

scholarly journals A Novel Automatic Generation Control Method Based on the Ecological Population Cooperative Control for the Islanded Smart Grid

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Lei Xi ◽  
Yudan Li ◽  
Yuehua Huang ◽  
Ling Lu ◽  
Jianfeng Chen
Keyword(s):  
Smart Grid ◽  
Information Exchange ◽  
Cooperative Control ◽  
Control Method ◽  
Frequency Control ◽  
Automatic Generation ◽  
Load Frequency Control ◽  
Automatic Generation Control ◽  
Grid Model ◽  
Generation Control

To achieve automatic generation control coordination in the islanded smart grid environment resulted from the increasing penetration of renewable energy, a novel ecological population cooperative control (EPCC) strategy is proposed in this paper. The proposed EPCC, based on the new win-loss criterion and the time tunnel idea, can compute the win-loss criterion accurately and converge to Nash equilibrium rapidly. Moreover, based on a multiagent system stochastic consensus game (MAS-SCG) framework, a frequent information exchange between agents (AGC units) is implemented to rapidly calculate optimal power command, which achieves the optimal cooperative control of the islanded smart grid. The PDWoLF-PHC(λ), WPH strategy (wolf pack hunting), DWoLF-PHC(λ), Q(λ)-learning, and Q-learning are implemented into the islanded smart grid model for the control performance analysis. Two case studies have been done, including the modified IEEE standard two-area load frequency control power system model and the islanded smart grid model with distributed energy and microgrids. The effectiveness, stronger robustness, and better adaptability in the islanded smart grid of the proposed method are verified. Compared with five other smart ones, EPCC can improve convergence speed than that of others by nearly 33.9%–50.1% and the qualification rate of frequency assessment effectively by 2%–64% and can reduce power generation cost.

Improvement Of Load Frequency Control By Using Self–Tuning Controller

2012 ◽  
Author(s):  
M.R.I. Sheikh ◽  
M.S Anower ◽  
M. G. Rabbani
Keyword(s):  
Power System ◽  
Magnetic Energy ◽  
Frequency Control ◽  
Automatic Generation ◽  
Load Frequency Control ◽  
Superconducting Magnetic Energy Storage ◽  
Load Frequency ◽  
Self Tuning ◽  
Magnetic Energy Storage ◽  
Generation Control

Since a Superconducting Magnetic Energy Storage (SMES) unit with a self–commutated converter is capable of controlling both the active and reactive powers simultaneously and quickly, increasing attention has been focused recently on power system stabilization by SMES control. This paper presents a novel control method of SMES with a self-tuned Fuzzy Proportional Integral (FPI) controller associated with the Automatic Generation Control (AGC) for improving Load Frequency Control (LFC) in a single area power system. Boiler dynamics and nonlinearities such as governor dead band (DB) and generator rate constraints (GRC) are considered in the developed comprehensive mathematical model of a single area isolated power system. The effects of the self–tuning configuration of FPI controller in AGC on SMES control is compared with that of fixed gain PI controlled AGC. It is seen that with addition of FPI controller, SMES can perform a more effective primary frequency control for single area power system. Key words: Load frequency control; single area power system; automatic generation control; superconducting magnetic energy storage unit; fuzzy proportional integral controller

scholarly journals Robust exponential load frequency control for time delay power system considering wind power

2020 ◽  
Vol 53 (2) ◽  
pp. 12536-12541
Author(s):  
Li Jin ◽  
Xingchen Shang-Guan ◽  
Yong He ◽  
Chuan-Ke Zhang ◽  
Lin Jiang ◽  
...  
Keyword(s):  
Time Delay ◽  
Power System ◽  
Wind Power ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Load Frequency
Sign in / Sign up

Export Citation Format

Share Document