scholarly journals A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control

2020 ◽  
Vol 8 (2) ◽  
pp. 64
Author(s):  
Yogesh Prajapati ◽  
Vithal Kamat ◽  
Jatin Patel ◽  
Rahul Kher
Keyword(s):  
Soft Computing ◽  
Frequency Control ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Comprehensive Survey

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.

scholarly journals Load Frequency control(LFC) of a Multiarea Restructured Hybrid Powersystem on Multi objective SSA

2019 ◽  
Vol 9 (2S3) ◽  
pp. 395-402
Keyword(s):  
Frequency Control ◽  
Test System ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
Dynamic Responses ◽  
Double Integral ◽  
Load Frequency ◽  
Multiobjective Approach ◽  
Integral Controller ◽  
Frequency Controller

The aimof the paper tune the paramters of the load frequency controller using a latest and novel algorithm named as Salp sarm of algorithm with multiobjective approach. The test system choosen is a Two area interconnected hybrid power system under deregulated-environment integrated with Distributd genertion (DG) resource.The DG systems consists of Windturbine generator(WTG), SolarPV systems, Diesels engines generators(DEG), Fuelcells with Aqua electrolyzers and Energy storages like Batteries energy storage systems(BESS). To minimise the frequency of oscillations, Secondarycontroller opted was an optimal Fuzzy PID plus double integral controller (FPID-II). The effectiveness of proposed controller is determined with the comparison of nominal PI, PID and Two degree freedom PID (TDOFPID) controller. Furthermore the dynamic responses of SSA tuned FPID-II controller are been compared with other optimization techniques. The results depit the superiority of the proposed controller in suppressing the deviations of frequency

scholarly journals Analysis on various optimization techniques used for Load Frequency Control in power system

2018 ◽  
Vol 15 (3) ◽  
pp. 249-273 ◽  
Author(s):  
Neelamsetti Kumar ◽  
Vairavasundaram Indragandhi
Keyword(s):  
Model Predictive Control ◽  
Power System ◽  
Predictive Control ◽  
Frequency Control ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
Dead Band ◽  
Energy Devices ◽  
Control Techniques ◽  
Load Frequency

In a unified power system the Load Frequency Control (LFC) is taken for review looking at all aspects with various optimization techniques for optimizing the parameters of PI, PID and Fuzzy controllers. The power system with multi area consists of conventional, renewable and combination of both with some energy devices like SMES, battery sources is analyzed specifically in this manuscript. The controllers are designed for a deregulated environment of a power system for LFC. The Model Predictive Control (MPC) and some other control techniques are used to control LFC under various disturbances like GRC and dead band control. For the readers ease of understanding the time response comparison graph of the controller for single and multiple areas of power system is depicted.

scholarly journals Hybrid Gravitational–Firefly Algorithm-Based Load Frequency Control for Hydrothermal Two-Area System

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 712
Author(s):  
Deepak Kumar Gupta ◽  
Ankit Kumar Soni ◽  
Amitkumar V. Jha ◽  
Sunil Kumar Mishra ◽  
Bhargav Appasani ◽  
...  
Keyword(s):  
Power System ◽  
Firefly Algorithm ◽  
Frequency Control ◽  
Gravitational Search Algorithm ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
Generation System ◽  
Load Frequency ◽  
Gravitational Search ◽  
Tie Line

The load frequency control (LFC) and tie-line power are the key deciding factors to evaluate the performance of a multiarea power system. In this paper, the performance analysis of a two-area power system is presented. This analysis is based on two performance metrics: LFC and tie-line power. The power system consists of a thermal plant generation system and a hydro plant generation system. The performance is evaluated by designing a proportional plus integral (PI) controller. The hybrid gravitational search with firefly algorithm (hGFA) has been devised to achieve proper tuning of the controller parameter. The designed algorithm involves integral time absolute error (ITAE) as an objective function. For two-area hydrothermal power systems, the load frequency and tie-line power are correlated with the system generation capacity and the load. Any deviation in the generation and in the load capacity causes variations in the load frequencies, as well as in the tie-line power. Variations from the nominal value may hamper the operation of the power system with adverse consequences. Hence, performance of the hydrothermal power system is analyzed using the simulations based on the step load change. To elucidate the efficacy of the hGFA, the performance is compared with some of the well-known optimization techniques, namely, particle swarm optimization (PSO), genetic algorithm (GA), gravitational search algorithm (GSA) and the firefly algorithm (FA).

Application of Different Optimization Techniques to Load Frequency Control with WECS in a Multi-Area System

2018 ◽  
Vol 46 (7) ◽  
pp. 739-756 ◽  
Author(s):  
Mohamed Mostafa Elsaied ◽  
Mahmoud Abdallah Attia ◽  
Mahmoud Abdelhamed Mostafa ◽  
Said Fouad Mekhamer
Keyword(s):  
Frequency Control ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
Load Frequency

scholarly journals Enhancing load frequency control of multi-area multi-sources power system including conventional and renewable energy units with nonlinearities

2020 ◽  
Vol 19 (1) ◽  
pp. 108
Author(s):  
Mohamed Abdul Raouf Shafei ◽  
Ahmed Nabil Abd Alzaher ◽  
Doaa Khalil Ibrahim
Keyword(s):  
Renewable Energy ◽  
Time Delay ◽  
Power System ◽  
Power Flow ◽  
Frequency Control ◽  
Renewable Energy Sources ◽  
Optimization Technique ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
Load Frequency

The foremost aims the Load Frequency Control (LFC) is to maintain the frequency at nominal value and minimize the unscheduled tie line power flow between different control areas. The penetration of renewable energy sources into the grid is a recent challenge to the power system operators due to their different modelling rather than conventional units. In this paper, enhancing load frequency control of multi-area multi-sources power system including renewable units system with nonlinearities is proposed using a new application of proportional–integral–derivative controller with proportional controller in the inner feedback loop, which is called as PID-P controller. To investigate the performance of the proposed controller, a thermal with reheater, hydro, wind and diesel power generation units with physical constraints such as governor dead band, generation rate constraint, time delay and boiler dynamics are considered. The proposed controller parameters are optimized using different heuristic optimization techniques such: Linearized Biogeography-Based Optimization technique, Biogeography-Based Optimization technique and Genetic Algorithm. The ability of the system to handle the large variation in load conditions, time delay, participation factors, and system parameters has been verified comprehensively.

scholarly journals Adaptive Load Frequency Control in Power Systems Using Optimization Techniques

2021 ◽  
Author(s):  
Tarek Hassan Mohamed ◽  
Hussein Abubakr ◽  
Mahmoud M. Hussein ◽  
Gaber S. Salman
Keyword(s):  
Power Systems ◽  
Frequency Control ◽  
Dynamic Performance ◽  
Digital Simulation ◽  
Optimization Methods ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
Control Technique ◽  
Modeling And Control ◽  
Load Frequency

At present, simple and classical tuned controllers are widely used in the power system load frequency control (LFC) application. Existing LFC system parameters are usually tuned based on experiences, classical methods, and trial and error approaches, and they are incapable of providing good dynamic performance over a wide range of operating conditions and various load scenarios. Therefore, the novel modeling and control approaches are strongly required, to obtain a new trade-off between efficiency and robustness. Thus, the proposed techniques in this chapter are referred to be an adaptive control technique based on new optimization methods such as Jaya, Practical Swarm Optimization Algorithm, etc., which are used to make an on-line tuning of the LFC parameters in order to face the previous challenges in LFC. The system under study is a small microgrid with a renewable energy source and variable demand load. Digital simulation results are discussed.

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