Modeling and Optimal Control Applying the Flower Pollination Algorithm to Doubly Fed Induction Generators on a Wind Farm in a Hot Arid Climate

2021 ◽  
Vol 143 (4) ◽  
Author(s):  
Omar Chogueur ◽  
Saïd Bentouba ◽  
Mahmoud Bourouis
Keyword(s):  
Wind Farm ◽  
Short Circuit ◽  
Pi Controller ◽  
Electrical Network ◽  
Flower Pollination Algorithm ◽  
Dynamic Mode ◽  
Flower Pollination ◽  
First Case ◽  
Doubly Fed

Abstract In the present paper, the flower pollination algorithm (FPA) is employed for tuning the controller parameters of a doubly fed induction generator (DFIG) in a wind energy system. These parameters are then compared with those generated by the genetic algorithm (GA) and the proportional-integral (PI) (initial design) controllers. Performance analysis of the DFIG is carried out in dynamic mode in two case studies. The first case study is carried out with no failure, the second one is subject to a short circuit in the electrical network. In this latter case study, a break occurs in the rotor circuit and disconnects the DFIG from the power grid. This gives rise to an excessive current in the rotor circuit which in turn influences the converters AC/DC/AC and makes the IGBT very sensitive. The GA and the FPA are used to tune the PI controllers with the purpose of improving the quality of a power supply should electrical disturbances occur. The results show that by applying an optimal PI controller design to a DFIG using the FPA the performance of the DFIG system can be improved in the event of disturbances. When the PI controller tuning using the GA and the initial control system design is compared with the DFIG using the optimized design, a significant decrease in the overshoot of the rotor current and the DC-link voltage is observed.

scholarly journals Domain-specific risk assessment using integrated simulation: A case study of an onshore wind project

2021 ◽  
Author(s):  
Emad Mohamed ◽  
Nima Gerami Seresht ◽  
Stephen Hague ◽  
Adam Chehouri ◽  
Simaan M. AbouRizk
Keyword(s):  
Risk Assessment ◽  
Wind Farm ◽  
Critical Path ◽  
Quantitative Risk Assessment ◽  
Integrated Simulation ◽  
Domain Specific ◽  
Risk Assessment Models ◽  
First Case ◽  
Assessment Approach

Although many quantitative risk assessment models have been proposed in literature, their use in construction practice remain limited due to a lack of domain-specific models, tools, and application examples. This is especially true in wind farm construction, where the state-of-the-art integrated Monte Carlo simulation and critical path method (MCS-CPM) risk assessment approach has yet to be demonstrated. The present case study is the first reported application of the MCS-CPM method for risk assessment in wind farm construction and is the first case study to consider correlations between cost and schedule impacts of risk factors using copulas. MCS-CPM provided reasonable risk assessment results for a wind farm project, and its use in practice is recommended. Aimed at facilitating the practical application of quantitative risk assessment methods, this case study provides a much-needed analytical generalization of MCS-CPM, offering application examples, discussion of expected results, and recommendations to wind farm construction practitioners.

scholarly journals PSS Tuning on Power Generator System using Flower Pollination Algorithm

2018 ◽  
Vol 6 (3) ◽  
pp. 93-99
Author(s):  
Muhammad Ruswandi Djalal ◽  
Sonong Sonong
Keyword(s):  
Bat Algorithm ◽  
Flower Pollination Algorithm ◽  
Generator System ◽  
Steady State Condition ◽  
Tuning Method ◽  
Flower Pollination ◽  
Velocity Deviation ◽  
Rotor Angle ◽  
System Stabilizer

This research proposed a tuning method of power system stabilizer (PSS) using an intelligent method based on flower pollination algorithm (FPA) on Pajalesang generator located in Soppeng district. The observed result is the deviation response of velocity and rotor angle in case of disturbance. The case study used as the disturbance to this generator system is a load addition of 0.05 pu. The results show that velocity deviation response without PSS is 0.01152 pu to -0.0248 pu, using PSS trial is 0.007014 pu to -0.02174 pu, using PSS bat algorithm is 0.003972 pu to -0.01865 pu, and using the proposed method of PSS flower algorithm is 0.002149 pu to -0.01678 pu. The rotor angle response shows better results with reduced oscillation and rapidly leading to the steady-state condition. The performance of Pajalesang diesel power plant increased with the installation of FPA PSS, with parameters respectively Kpss=8.5956, T1= 0.0247, T2=0.2484, T3=0.4776, and T4=0.8827.

Improvement of Stable Operation Ability for Large-Scale Wind Power System Based on VSC-HVDC Technology

2014 ◽  
Vol 599-601 ◽  
pp. 960-963
Author(s):  
Cheng Cheng Rao ◽  
Hai Yun Wang ◽  
Wei Qing Wang
Keyword(s):  
Large Scale ◽  
Wind Farm ◽  
Power Transmission ◽  
Short Circuit ◽  
Current Control ◽  
Stable Operation ◽  
Hvdc System ◽  
Control Scheme ◽  
Wind Power System ◽  
Doubly Fed

Rigorous transmission technology is important when large-scale wind farm is connected to the power grid. Hence, a power transmission topological framework based on VSC-HVDC is proposed. The mathematical model is built in the dq synchronous frame, and the related direct current control strategy of VSC converters are designed. The doubly fed induction generator wind farm with VSC-HVDC system are modelled in DIgSILENT/PowerFactory. Ultimately, the conditions of the short-circuit fault at the receiving-end VSC AC bus is simulated. The control scheme is proved to be effective.

scholarly journals Optimization of P& PI controller parameters for variable speed drive systems using a flower pollination algorithm

Heliyon ◽  
2020 ◽  
Vol 6 (8) ◽  
pp. e04648 ◽  
Author(s):  
Safwan Nadweh ◽  
Ola Khaddam ◽  
Ghassan Hayek ◽  
Bassam Atieh ◽  
Hassan Haes Alhelou
Keyword(s):  
Pi Controller ◽  
Flower Pollination Algorithm ◽  
Variable Speed ◽  
Variable Speed Drive ◽  
Flower Pollination ◽  
Drive Systems

scholarly journals The Influence of Climate Parameters on Maintenance of Wind Farms—A Galician Case Study

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 40
Author(s):  
José A. Orosa ◽  
Ángel M. Costa ◽  
Diego Vergara ◽  
Feliciano Fraguela
Keyword(s):  
Wind Farm ◽  
Extreme Values ◽  
Wind Farms ◽  
Working Hours ◽  
Weather Conditions ◽  
Electrical Network ◽  
Economic Implications ◽  
Power Regulation ◽  
The Cost

There are different monitoring procedures in wind farms with two main objectives: (i) to improve energy production by the capability of the national electrical network and (ii) to reduce the stooped hours due to preventive and or corrective maintenance activities. In this sense, different sensors are employed to sample in real-time the working conditions of equipment, the electrical production and the weather conditions. Despite this, just the anemometer measurement can be related to the more important errors of interruption of power regulation and anemometer errors. Both errors are related to gusty winds and contribute to more than 33% of the cost of a wind farm. The present paper reports some mathematical relations between weather and maintenance but there are no extreme values of each variable that let us predict a near failure and its corresponding loss of working hours. To achieve this, statistical analysis identifies the relation between weather variables and errors and different models are obtained. What is more, due to the difficulty and economic implications involving the implementation of complex algorithms and techniques of artificial intelligence, it is still a challenge to optimize this process. Finally, the obtained results show a particular case study that can be extrapolated to other wind farms after different case studies to adjust the model to different weather regions, and serve as a useful tool for weather maintenance.

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