scholarly journals Hybrid Fuzzy Load Frequency Controller for a Two Area Interconnected Power System

2012 ◽  
pp. 278-282
Author(s):  
U. Prasad ◽  
P.K. Mohanty ◽  
P.K. Chattopadhyaya ◽  
C.K. Panigrahi
Keyword(s):  
Power System ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Control Strategies ◽  
Automatic Generation ◽  
Dynamic Responses ◽  
System Stability ◽  
Interconnected Power System ◽  
Stability Issues ◽  
System Frequency

This work addresses the special requirements of Automatic Generation Control in Modern interconnected Power system. In order to track the system frequency and handling the power system stability issues many control strategies has been suggested by the researchers .A new Hybrid fuzzy approach is introduced here .Fuzzy Logic controller with Mamdani interface having five member ship functions is tested with the Thermal Thermal and hydro thermal system Further hybrid Fuzzy controller is also tested with the same system and results are compared for the both The system Which is having Hybrid Fuzzy concept and thereby the response of frequency and tie line power can be improved substantially following a load change in any area. Further dynamic responses for small perturbation have been observed, considering HFLC and integral controller and the results of both have been compared.

A gray wolf optimized FPD plus (1+PI) multistage controller for AGC of multisource non-linear power system

2019 ◽  
Vol 16 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Prakash Chandra Sahu ◽  
Ramesh Chandra Prusty ◽  
Sidhartha Panda
Keyword(s):  
Power System ◽  
Automatic Generation ◽  
Optimization Techniques ◽  
Dynamic Responses ◽  
Gray Wolf ◽  
Diesel Generator ◽  
Content Type ◽  
Physical Constraints ◽  
Interconnected Power System ◽  
Proportional Integral

Purpose The paper has proposed to implement gray wolf optimization (GWO)-based filter-type proportional derivative with (FPD) plus (1+ proportional integral) multistage controller in a three-area integrated source-type interlinked power network for achieving automatic generation control. Design/methodology/approach For analysis, a three area interconnected power system of which each area comprises three different generating units where thermal and hydro system as common. Micro sources like wind generator, diesel generator and gas unit are integrated with area1, area2 and area3 respectively. For realization of system nonlinearity some physical constraints like generation rate constraint, governor dead band and boiler dynamics are effected in the system. Findings The supremacy of multistage controller structure over simple proportional integral (PI), proportional integral, derivative (PID) and GWO technique over genetic algorithm, differential evolution techniques has been demonstrated. A comparison is made on performances of different controllers and sensitivity analysis on settling times, overshoots and undershoots of different dynamic responses of system as well as integral based error criteria subsequent a step load perturbation (SLP). Finally, sensitive analysis has been analyzed by varying size of SLP and network parameters in range ±50 per cent from its nominal value. Originality/value Design and implementation of a robust FPD plus (1 + PI) controller for AGC of nonlinear power system. The gains of the proposed controller are optimized by the application of GWO algorithm. An investigation has been done on the dynamic performances of the suggested system by conducting a comparative analysis with conventional PID controller tuned by various optimization techniques to verify its supremacy. Establishment of the robustness and sensitiveness of the controller by varying the size and position of the SLP, varying the loading of the system randomly and varying the time constants of the system.

scholarly journals Automatic generation control of multi source interconnected power system using adaptive neuro-fuzzy inference system

2020 ◽  
Vol 12 (3) ◽  
pp. 66-80
Author(s):  
Deepesh Sharma
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Fuzzy Inference ◽  
Frequency Control ◽  
Automatic Generation ◽  
Load Frequency Control ◽  
Inference System ◽  
Interconnected Power System ◽  
Small Peak ◽  
System Frequency

LFC (Load Frequency Control) difficulty is created by load of power system variations. Extreme acceptable frequency distinction is ±0.5 Hz which is  extremely intolerable. Here, LFC is observed by PID controller (PID-C), Fuzzy and ANFIS controller (ANFIS-C). To control different errors like frequency and area control error (ACE) in spite of occurrences of load disturbance and uncertainties of system is checked by MATLAB/SIMULINK software. Proposed Controller offers less, and small peak undershoot, speedy response to make final steady state. LFC is mandatory for reliability of  large interconnected power system. LFC is used to regulate power output of generator within specified area to maintain system frequency and  power interchange. Here, two area multi source LFC system is analyzed. ANFIS is utilized for tie-line power deviation and controlling frequency. Proposed controller is compared with other controller and it is found that proposed controller is better than other controller. Proposed controller is better in terms of Robustness. The output responses of interconnected areas have been compared on basis of peak-undershoot, peak-overshoot and settling time (Ts). Result of FLC is compared to that of with classical controller such as proportional derivative plus integral (PID) controller  which suggests that conventional controller is slow. Keywords: LFC, Fuzzy, PID, ANFIS, LFC; FLC; ACE; PID-C, AGC.

scholarly journals Optimization of Two Area AGC based Power System Using PSO Tuned Fuzzy PID Controller and PSO Trained SSSC And TCPS

2018 ◽  
Vol 7 (4.10) ◽  
pp. 163 ◽  
Author(s):  
Geoffrey Eappen ◽  
T. Shankar
Keyword(s):  
Power Systems ◽  
Power System ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Minimum Cost ◽  
Automatic Generation ◽  
Control Area ◽  
Fuzzy Pid ◽  
Particle Swarm Optimizer ◽  
System Frequency

Automatic generation control or AGC system is significant controlling system that operates efficiently to balance the load and generation in power system at minimum cost for economical operation. System frequency will vary from nominal value if there is mismatch occurs between generation and demand. Due to this high frequency deviation system may breakdown. A very fast, reliable and accurate controller is needed to maintain the system frequency within the range to maintain stability. In this paper the proposed model consisting of PID controller whose parameters have been optimized using PSO tuned Fuzzy Logic Controller and it’s been compared with conventional PSO-PID controller. Each control area in power systems includes the dynamics response of the systems. The results contained in this paper present the strength of the particle swarm optimizer for tuning the Fuzzy based PID controller parameter for two area power system network, for better performance PSO trained SSSC and TCPS has been introduced to the system. The enhancement in the dynamic response of the power system network is verified. The output response of the proposed work is compared with conventional PSO-PID & PSO Fuzzy-PID based AGC system. Simulation experiments so conducted in MATLAB showed that the proposed system outperformed the conventional one by achieving better response.  

scholarly journals Integration of Economic Load Dispatch with AGC of Multi-Area Power System: Analysis on Optimal Control and Stabilization

2019 ◽  
Vol 8 (4) ◽  
pp. 4241-4248
Keyword(s):  
Power System ◽  
Pid Controller ◽  
System Analysis ◽  
Automatic Generation ◽  
Dynamic Responses ◽  
Economic Load Dispatch ◽  
Fuel Cost ◽  
Interconnected Power System ◽  
De Algorithm ◽  
Tie Line

This paper proposes a novel Moth Flame Optimization (MFO) based filter type Proportional Integral and Derivative (PID) controller in multi-area interconnected power system for achieving simultaneously Automatic Generation Control (AGC) and Economic Load Dispatch (ELD). Conventional AGC is economically inefficient in regards to each area has to fulfill its own load variation in responses to keep tie-line power (∆Ptie) its scheduled value. To achieve this ACE based AGC is modified by integrating with ELD and combined known as Economic AGC or Eco-AGC. In Eco-AGC concern though change in area frequency(∆f) is brought to zero but tie-line power deviation (∆Ptie) never comes to zero as power always transmitted from generating station having lower incremental fuel cost to generating station having higher incremental fuel cost. In this regard an optimized filter based PID controller is used for stabilizing different dynamic responses of the Eco-AGC system. The proposed controller gains are tuned by using Moth Flame Optimization (MFO) techniques and for supremacy it is compared with standard PSO and Differential Evolution (DE) algorithm. The supremacy of MFO based PID structure over PSO and DE based PID and without ED controller has been demonstrated through dynamic responses. Finally it is revealed in Eco-AGC concern, the committed units are economically scheduled and there is a significant improvement in all dynamic responses of the system.

scholarly journals Adaptive Robust SMC-Based AGC Auxiliary Service Control for ESS-Integrated PV/Wind Station

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Xiao-Ling Su ◽  
Zheng-Kui Zhao ◽  
Yang Si ◽  
Yong-Qing Guo
Keyword(s):  
Power System ◽  
Sliding Mode ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Response Speed ◽  
Fast Response ◽  
Automatic Generation ◽  
Voltage Regulation ◽  
System Stability ◽  
External Disturbances

Power source structure has developed significantly because of the increasing share of renewable energy sources (RESs) in the power system. RESs bring inevitable impacts on power system frequency, voltage regulation, and power system stability. The conventional automatic generation control (AGC) loops which relay only on the synchronous generating units cannot meet the requirements of these new circumstances. This paper presents an ESS-integrated PV/wind station topology and its control structure for AGC auxiliary service in order to provide existing RESs the additional functionality of AGC auxiliary service without changing their control strategies conceived for MPPT mode. The shifting operation modes and external disturbances make ESSs in an ESS-integrated PV/wind station inherently nonlinear and time variable. Therefore, an adaptive robust sliding-mode control (ARSMC) system is proposed. The ARSMC colligates the advantages of adaptive control and SMC contains state feedback term, robust control term, and adaptive compensation term. The strictly logical and rigorous proof using Lyapunov stability analysis indicates the ARSMC system is insensitive to parametric uncertainties and external disturbances; meanwhile, it guarantees fast response speed and high control precision. The case studies on NI-PXI platform validate the effectiveness of the proposed approach.

scholarly journals Thyristor Controlled Series Capasitor Berbasis Adaptive Fuzzy Logic Controller Sebagai Percepatan Peredaman Osilasi Daya Pada Sistem Tenaga

2018 ◽  
Vol 2 (1) ◽  
pp. 37-41
Author(s):  
Dwi Agus Prabowo ◽  
Istiyo Winarno
Keyword(s):  
Power System ◽  
Fuzzy Logic Controller ◽  
Service Providers ◽  
Fuzzy Controller ◽  
System Stability ◽  
Main Concern ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy ◽  
The Stability ◽  
The Impact

The current population growth is very fast, so also the number of settlements more evenly, with this demand fulfillment demand for electricity is increasingly widespread and more, therebr making electric power generation service providers continue to strive to provide uniform and stable electrical energy. On the other hand there is an impact due to the many loads on the network electricity that can not be estimated its use, rise and fall of the load, therefore the power system stability must be maintained, this makes the stability of the power system the main concern in a operating. Without good dampening the disturbance will be isolated in the system and out of the stability area, so it can lead to worse effects such as total blackout. Thyristor Controlled Series Capacitor (TCSC) is a device that can be used to regulate power inmadance of power system. TCSC has three main components such as inductor, capacitor, and thyristor. The way TCSC works is by setting the angle of ignition, here the adaptive fuzzy controller is used as the best alpha-viewer the system needs. From the comparison simulation, the difference of fuzzy controller with adaptive fuzzy with fuzzy controller can reduce oscillation at 0.68 second average time and with fuzzy oscillation adaptive controller that can be muffled at 0.56 seconds, with this adaptive fuzzy controller capable damping oscillations 0.12 seconds faster in comparison with fuzzy controllers. So with this oscillation damping can reduce the impact of isolated disturbances in the system.

AGC System after Deregulation Considering TCPS in Series with the Tie-Line

2015 ◽  
Vol 16 (3) ◽  
pp. 281-295 ◽  
Author(s):  
Rajesh Joseph Abraham ◽  
D. Das ◽  
A. Patra
Keyword(s):  
Power System ◽  
Phase Shifter ◽  
Automatic Generation ◽  
Ancillary Service ◽  
System Effect ◽  
Interconnected Power System ◽  
Power Oscillations ◽  
In Series ◽  
System Frequency ◽  
Tie Line

Abstract This paper presents the study of automatic generation control (AGC) of two area interconnected power system after deregulation, considering a thyristor controlled phase shifter (TCPS) in series with the tie-line. It is possible to minimize the system frequency and tie-power oscillations by controlling the phase angle of TCPS which is expected to provide a new ancillary service for the future power system. Effect of TCPS is examined for three different cases, i.e. (1) unilateral contract, (2) bilateral contract and (3) contract violation. Analysis reveals that a TCPS is quite capable of suppressing the frequency and tie-power oscillations effectively as compared to that obtained without TCPS.

An Optimal Automatic Generation Control Strategy for Interconnected Power Grid with Wind Power

2013 ◽  
Vol 860-863 ◽  
pp. 2017-2022
Author(s):  
Yi Xuan Weng ◽  
Chang Hong Deng ◽  
Lei Chen
Keyword(s):  
Power System ◽  
Wind Power ◽  
Control Strategy ◽  
Frequency Control ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
Pi Control ◽  
Interconnected Power System ◽  
System Frequency ◽  
Generation Control

As the continuous increase of wind power installed capacity in modern grid, its inherent randomness and fluctuation may cause a series of problems to power system frequency control. Since the dynamic characteristics of traditional automatic generation control (AGC) based on PI control cannot fully and effectively meet the interconnected power grids requirements for load frequency control. In this paper, a strategy based optimal control theory is proposed, and a new dynamic cost function is also presented. Compared to the conventional PI control method, the proposed strategy has better dynamic adaptability to interconnected power system with wind generation, and the optimal coordination among control areas can be realized more easily. Take the two-area interconnected power system with wind power model as an example, the simulation is carried out based on MATLAB/SIMULINK. The simulation results show that the control strategy can obviously suppress the fluctuation of system frequency and tie-line power, and its effectiveness is confirmed.

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