scholarly journals Load-Frequency Control in an Islanded Microgrid PV/WT/FC/ESS using an Optimal Self-Tuning Fractional-Order Fuzzy Controller

2021 ◽  
Author(s):  
Amirreza Naderipour ◽  
Zulkurnain Abdul-Malek ◽  
Iraj Faraji Davoodkhani ◽  
Hesam Kamyab ◽  
Roshafima Rasit Ali
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Wind Turbine ◽  
Fractional Order ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Self Tuning ◽  
Fractional Order Controller

Abstract The variations in the consumption load and generation power in microgrid systems such as photovoltaic, wind-turbine fuel cell and energy storage systems (PV/WT/FC/ESSs) has challenged the load-frequency control due to the increased complexity and nonlinear nature of these systems. This paper employs a self-tuning controller based on the fuzzy logic to overcome parameter uncertainties of classic controllers, such as operation conditions, the change in the operating point of the microgrid and the uncertainty of microgrid modeling. Further, a combined fuzzy logic and fractional-order controller is used for load-frequency control of the off-grid microgrid with the influence of renewable resources because the latter controller benefits robust performance and enjoys a flexible structure. To reach a better operation for the proposed controller, a novel meta-heuristic whale algorithm has been used to optimally determine the input and output scale coefficients of the fuzzy controller and fractional orders of the fractional-order controller. The suggested approach is applied to a microgrid with a diesel generator, wind turbine, photovoltaic systems, and energy storage devices. The comparison made between the results of the proposed controller and those of the classic PID controller proves the superiority of the optimized fractional-order self-tuning fuzzy controller in terms of operation characteristics, response speed, and the reduction in frequency deviations against load variations.

Advance Two-Area Load Frequency Control Using Particle Swarm Optimization Scaled Fuzzy Logic

2012 ◽  
Vol 622-623 ◽  
pp. 80-85 ◽  
Author(s):  
Aqeel S. Jaber ◽  
Abu Zaharin B. Ahmad ◽  
Ahmed N. Abdalla
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Electric Power System ◽  
Load Frequency Control ◽  
Electrical Power System ◽  
Load Frequency ◽  
Fuzzy Logic Technique

One of the most important rules in electric power system operation and control is Load Frequency Controller (LFC). Many problems are subject to LFC such as a generating unit is suddenly disconnected by the protection equipment and suddenly large load is connected or disconnected. The frequency gets deviated from nominal value when the real power balance is harmed due to disturbances.LFC is responsible for load balancing and restoring the natural frequency to its natural position. In this paper, PSO-fuzzy logic technique for Load Frequency Control system was proposed. PSO optimization method is used to tuning the input and output gains for the fuzzy controller. The proposed method has been tested on two symmetrical thermal areas of an interconnected electrical power system. The simulation results are carried out in term of effectiveness of the frequency time response on its damping and compared it to common PID controller. The results show the performances of the proposed controller have quite promising compared to PID controller.

scholarly journals Central Tunicate Swarm NFOPID-Based Load Frequency Control of the Egyptian Power System Considering New Uncontrolled Wind and Photovoltaic Farms

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3604
Author(s):  
Hady H. Fayek ◽  
Panos Kotsampopoulos
Keyword(s):  
Power System ◽  
Fractional Order ◽  
Frequency Control ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
The Novel ◽  
Operating Condition ◽  
Load Frequency ◽  
Non Linear ◽  
Fractional Order Pid

This paper presents load frequency control of the 2021 Egyptian power system, which consists of multi-source electrical power generation, namely, a gas and steam combined cycle, and hydro, wind and photovoltaic power stations. The simulation model includes five generating units considering physical constraints such as generation rate constraints (GRC) and the speed governor dead band. It is assumed that a centralized controller is located at the national control center to regulate the frequency of the grid. Four controllers are applied in this research: PID, fractional-order PID (FOPID), non-linear PID (NPID) and non-linear fractional-order PID (NFOPID), to control the system frequency. The design of each controller is conducted based on the novel tunicate swarm algorithm at each operating condition. The novel method is compared to other widely used optimization techniques. The results show that the tunicate swarm NFOPID controller leads the Egyptian power system to a better performance than the other control schemes. This research also presents a comparison between four methods to self-tune the NFOPID controller at each operating condition.

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