Inter-Area and Intra-Area Oscillation Damping for a Multi-machine Power System Integrated with UPFC Using DIW -PSO Based PID Controller

Background: Due to the increasing demand for the electrical power and limitations of conventional energy to produce electricity. Methods: Now the Microgrid (MG) system based on alternative energy sources are used to provide electrical energy to fulfill the increasing demand. The power system frequency deviates from its nominal value when the generation differs the load demand. The paper presents, Load Frequency Control (LFC) of a hybrid power structure consisting of a reheat turbine thermal unit, hydropower generation unit and Distributed Generation (DG) resources. Results: The execution of the proposed fractional order Fuzzy proportional-integral-derivative (FO Fuzzy PID) controller is explored by comparing the results with different types of controllers such as PID, fractional order PID (FOPID) and Fuzzy PID controllers. The controller parameters are optimized with a novel application of Grasshopper Optimization Algorithm (GOA). The robustness of the proposed FO Fuzzy PID controller towards different loading, Step Load Perturbations (SLP) and random step change of wind power is tested. Further, the study is extended to an AC microgrid integrated three region thermal power systems. Conclusion: The performed time domain simulations results demonstrate the effectiveness of the proposed FO Fuzzy PID controller and show that it has better performance than that of PID, FOPID and Fuzzy PID controllers. The suggested approach is reached out to the more practical multi-region power system. Thus, the worthiness and adequacy of the proposed technique are verified effectively.

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Grey Wolf Optimization Algorithm based PID controller design for AVR Power system

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) ◽

10.1109/peeic47157.2019.8976641 ◽

2019 ◽

Cited By ~ 1

Author(s):

Rvindra kumar Kuri ◽

Deepak Paliwal ◽

D. K. Sambariya

Keyword(s):

Power System ◽

Optimization Algorithm ◽

Pid Controller ◽

Controller Design ◽

Grey Wolf ◽

Grey Wolf Optimization ◽

Pid Controller Design

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5G Poor and Rich Novel Control Scheme Based Load Frequency Regulation of a Two-Area System with 100% Renewables in Africa

Fractal and Fractional ◽

10.3390/fractalfract5010002 ◽

2020 ◽

Vol 5 (1) ◽

pp. 2

Author(s):

Hady H. Fayek

Keyword(s):

Power System ◽

Fractional Order ◽

Packet Loss ◽

Pid Controller ◽

Frequency Control ◽

Operating Conditions ◽

Load Frequency Control ◽

Load Frequency ◽

Control Scheme ◽

Non Linear

Remote farms in Africa are cultivated lands planned for 100% sustainable energy and organic agriculture in the future. This paper presents the load frequency control of a two-area power system feeding those farms. The power system is supplied by renewable technologies and storage facilities only which are photovoltaics, biogas, biodiesel, solar thermal, battery storage and flywheel storage systems. Each of those facilities has 150-kW capacity. This paper presents a model for each renewable energy technology and energy storage facility. The frequency is controlled by using a novel non-linear fractional order proportional integral derivative control scheme (NFOPID). The novel scheme is compared to a non-linear PID controller (NPID), fractional order PID controller (FOPID), and conventional PID. The effect of the different degradation factors related to the communication infrastructure, such as the time delay and packet loss, are modeled and simulated to assess the controlled system performance. A new cost function is presented in this research. The four controllers are tuned by novel poor and rich optimization (PRO) algorithm at different operating conditions. PRO controller design is compared to other state of the art techniques in this paper. The results show that the PRO design for a novel NFOPID controller has a promising future in load frequency control considering communication delays and packet loss. The simulation and optimization are applied on MATLAB/SIMULINK 2017a environment.

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Study on Oscillation Damping Effects of Power System Stabilizer with Eigenvalue Analysis Method

Modelling, Simulation and Identification ◽

10.5772/10015 ◽

2010 ◽

Author(s):

Fang Liu ◽

Ryuichi Yokoyama ◽

Yicheng Zhou ◽

Min Wu

Keyword(s):

Power System ◽

Eigenvalue Analysis ◽

Power System Stabilizer ◽

Analysis Method ◽

Damping Effects ◽

System Stabilizer ◽

Oscillation Damping

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Enhancing Oscillation Damping in an Interconnected Power System with Integrated Wind Farms Using Unified Power Flow Controller

Energies ◽

10.3390/en12020322 ◽

2019 ◽

Vol 12 (2) ◽

pp. 322 ◽

Cited By ~ 10

Author(s):

Ping He ◽

Seyed Arefifar ◽

Congshan Li ◽

Fushuan Wen ◽

Yuqi Ji ◽

...

Keyword(s):

Power Systems ◽

Power System ◽

Time Domain ◽

Power Flow ◽

Unified Power Flow Controller ◽

Time Domain Simulation ◽

Interconnected Power System ◽

Dynamic Time ◽

Oscillation Damping ◽

Power Flow Controller

The well-developed unified power flow controller (UPFC) has demonstrated its capability in providing voltage support and improving power system stability. The objective of this paper is to demonstrate the capability of the UPFC in mitigating oscillations in a wind farm integrated power system by employing eigenvalue analysis and dynamic time-domain simulation approaches. For this purpose, a power oscillation damping controller (PODC) of the UPFC is designed for damping oscillations caused by disturbances in a given interconnected power system, including the change in tie-line power, the changes of wind power outputs, and others. Simulations are carried out for two sample power systems, i.e., a four-machine system and an eight-machine system, for demonstration. Numerous eigenvalue analysis and dynamic time-domain simulation results confirm that the UPFC equipped with the designed PODC can effectively suppress oscillations of power systems under various disturbance scenarios.

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