Fuzzy modeling and prediction of combustion layers′ temperature for power plant

2021 ◽  
pp. 1-11
Author(s):  
Guotian Yang ◽  
Xiaowei Wang ◽  
Yingnan Wang
Keyword(s):  
Power Plant ◽  
Fuzzy Model ◽  
Fuzzy Modeling ◽  
Local Models ◽  
Online Identification ◽  
Modeling And Prediction ◽  
Infrared Temperature Measurement ◽  
Simulation Results ◽  
Modeling Strategy ◽  
Temperature Measurement System

This paper develops a fuzzy modeling strategy to study the temperature of different combustion layers in a power plant. First, a new infrared temperature measurement system is developed to measure three layers (bottom, middle and upper) temperature on both sides of the boiler. Then, a fuzzy clustering modeling algorithm is designed based on entropy to determine the structure of the fuzzy model and the corresponding fuzzy memberships of local models. The effect of modeling mismatches are overcome by the use of online identification of parameters. Simulation results show that the effectiveness of the proposed method can be achieved for a 660 MW power plant.

Fuzzy Modeling to Simulate Surface Roughness in CNC Turning of AISI 1045 Steel

2011 ◽  
Vol 486 ◽  
pp. 262-265
Author(s):  
Amit Kohli ◽  
Mudit Sood ◽  
Anhad Singh Chawla
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Process Parameters ◽  
Fuzzy Model ◽  
Fuzzy Modeling ◽  
Cnc Machine ◽  
Model Based ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel

The objective of the present work is to simulate surface roughness in Computer Numerical Controlled (CNC) machine by Fuzzy Modeling of AISI 1045 Steel. To develop the fuzzy model; cutting depth, feed rate and speed are taken as input process parameters. The predicted results are compared with reliable set of experimental data for the validation of fuzzy model. Based upon reliable set of experimental data by Response Surface Methodology twenty fuzzy controlled rules using triangular membership function are constructed. By intelligent model based design and control of CNC process parameters, we can enhance the product quality, decrease the product cost and maintain the competitive position of steel.

Study of HVDC System and Subsynchronous Oscillation

2015 ◽  
Vol 1092-1093 ◽  
pp. 356-361
Author(s):  
Peng Fei Zhang ◽  
Lian Guang Liu
Keyword(s):  
Power Plant ◽  
Time Domain ◽  
Simulation Method ◽  
Time Domain Simulation ◽  
Stable Convergence ◽  
Turbine Generator ◽  
Plant Model ◽  
Subsynchronous Oscillation ◽  
Hvdc System ◽  
Simulation Results

With the application and development of Power Electronics, HVDC is applied more widely China. However, HVDC system has the possibilities to cause subsynchronous torsional vibration interaction with turbine generator shaft mechanical system. This paper simply introduces the mechanism, analytical methods and suppression measures of subsynchronous oscillation. Then it establishes a power plant model in islanding model using PSCAD, and analyzes the effects of the number and output of generators to SSO, and verifies the effect of SEDC and SSDC using time-domain simulation method. Simulation results show that the more number and output of generators is detrimental to the stable convergence of subsynchronous oscillation, and SEDC、SSDC can restrain unstable SSO, avoid divergence of SSO, ensure the generators and system operate safely and stably

scholarly journals Design of PDC Controllers by Matrix Reversibility for Synchronization ofYinandYangChaotic Takagi-Sugeno Fuzzy Henon Maps

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Chun-Yen Ho ◽  
Hsien-Keng Chen ◽  
Zheng-Ming Ge
Keyword(s):  
Chaos Synchronization ◽  
Matrix Theory ◽  
Chinese Philosophy ◽  
Fuzzy Model ◽  
Invertible Matrix ◽  
Henon Maps ◽  
Hénon Maps ◽  
Feminine Principle ◽  
Simulation Results ◽  
Takagi Sugeno

This paper investigates the synchronization ofYinandYangchaotic T-S fuzzy Henon maps via PDC controllers. Based on the Chinese philosophy,Yinis the decreasing, negative, historical, or feminine principle in nature, whileYangis the increasing, positive, contemporary, or masculine principle in nature.YinandYangare two fundamental opposites in Chinese philosophy. The Henon map is an invertible map; so the Henon maps with increasing and decreasing argument can be called theYangandYinHenon maps, respectively. Chaos synchronization ofYinandYangT-S fuzzy Henon maps is achieved by PDC controllers. The design of PDC controllers is based on the linear invertible matrix theory. The T-S fuzzy model ofYinandYangHenon maps and the design of PDC controllers are novel, and the simulation results show that the approach is effective.

Local Modeling Algorithm Based on Similarity of Vector

2012 ◽  
Vol 182-183 ◽  
pp. 1060-1064
Author(s):  
Jing Zeng ◽  
Jun Wang ◽  
Jin Yu Guo
Keyword(s):  
Local Model ◽  
Local Models ◽  
Local Polynomial Fitting ◽  
Local Polynomial ◽  
Data Matching ◽  
Local Modeling ◽  
Fitting Algorithm ◽  
System Input ◽  
Simulation Results ◽  
Historical System

A mutli-model modeling method based on local model is given. The modeling idea is firstly to find some data matching with the current working point from vast historical system input-output datasets, and in this paper, we give a new method of choose data information based on similarity of vector which improve the accuracy of data greatly. Secondly to choose the weight and optimum bandwidth then develop a local model using local polynomial fitting algorithm. With the change of working points, multiple local models are built. The effectiveness of the proposed method is demonstrated by simulation results.

Study on operating modes of doubly fed induction generator with a short circuit fault on grid near the wind power plant

2021 ◽  
Vol 15 (1) ◽  
pp. 37-44
Author(s):  
Thai Hiep Le ◽  
◽  
Duong Hoang Phuc Tran
Keyword(s):  
Power Plant ◽  
Short Circuit ◽  
Active Power ◽  
Induction Generator ◽  
Wind Power Plant ◽  
Doubly Fed Induction Generator ◽  
Power Characteristic ◽  
Simulation Results ◽  
Doubly Fed ◽  
Short Circuit Fault

In this paper, the operating mode of a doubly fed induction generator (DFIG) wind turbine is studied in order to evaluate its fault ride-through and transient stability with a grid’s short circuit fault at near the wind power plant. Based on the structure of DFIG, external resistors are directly connected to rotor windings, then the generator operates as a wound rotor induction generator (WRIG) when there is a short circuit fault on the grid. According to the simulation results in Matlab, the active power is consumed on the crowbar resistor, causing the active power characteristic of generator is changed from high to low. As a result, the amount of excess mechanical energy is not much, so the generator be not accelerated significantly. These simulation results show that it is appropriate to use the crowbar resistor to change the power characteristic of the DFIG. Thanks to this change, the generator is still connected to the grid, stable operation both during and after a short circuit.

scholarly journals Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization

2012 ◽  
Vol 2012 ◽  
pp. 1-21 ◽  
Author(s):  
S. Sakinah S. Ahmad ◽  
Witold Pedrycz
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Fuzzy Model ◽  
Fuzzy Rule ◽  
Search Space ◽  
Fuzzy Modeling ◽  
Optimization Techniques ◽  
Feature Reduction ◽  
Data Sets ◽  
Swarm Optimization

The study is concerned with data and feature reduction in fuzzy modeling. As these reduction activities are advantageous to fuzzy models in terms of both the effectiveness of their construction and the interpretation of the resulting models, their realization deserves particular attention. The formation of a subset of meaningful features and a subset of essential instances is discussed in the context of fuzzy-rule-based models. In contrast to the existing studies, which are focused predominantly on feature selection (namely, a reduction of the input space), a position advocated here is that a reduction has to involve both data and features to become efficient to the design of fuzzy model. The reduction problem is combinatorial in its nature and, as such, calls for the use of advanced optimization techniques. In this study, we use a technique of particle swarm optimization (PSO) as an optimization vehicle of forming a subset of features and data (instances) to design a fuzzy model. Given the dimensionality of the problem (as the search space involves both features and instances), we discuss a cooperative version of the PSO along with a clustering mechanism of forming a partition of the overall search space. Finally, a series of numeric experiments using several machine learning data sets is presented.

scholarly journals Feature Extraction and Mapping Construction for Mobile Robot via Ultrasonic MDP and Fuzzy Model

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3673 ◽  
Author(s):  
Zhili Long ◽  
Ronghua He ◽  
Yuxiang He ◽  
Haoyao Chen ◽  
Zuohua Li
Keyword(s):  
Feature Extraction ◽  
Clustering Algorithm ◽  
Mobile Robotics ◽  
Low Cost ◽  
Fuzzy Model ◽  
Fuzzy Modeling ◽  
Fuzzy Classification ◽  
Classification Model ◽  
Service Robot ◽  
Ultrasonic Array

This paper presents a modeling approach to feature classification and environment mapping for indoor mobile robotics via a rotary ultrasonic array and fuzzy modeling. To compensate for the distance error detected by the ultrasonic sensor, a novel feature extraction approach termed “minimum distance of point” (MDP) is proposed to determine the accurate distance and location of target objects. A fuzzy model is established to recognize and classify the features of objects such as flat surfaces, corner, and cylinder. An environmental map is constructed for automated robot navigation based on this fuzzy classification, combined with a cluster algorithm and least-squares fitting. Firstly, the platform of the rotary ultrasonic array is established by using four low-cost ultrasonic sensors and a motor. Fundamental measurements, such as the distance of objects at different rotary angles and with different object materials, are carried out. Secondly, the MDP feature extraction algorithm is proposed to extract precise object locations. Compared with the conventional range of constant distance (RCD) method, the MDP method can compensate for errors in feature location and feature matching. With the data clustering algorithm, a range of ultrasonic distances is attained and used as the input dataset. The fuzzy classification model—including rules regarding data fuzzification, reasoning, and defuzzification—is established to effectively recognize and classify the object feature types. Finally, accurate environment mapping of a service robot, based on MDP and fuzzy modeling of the measurements from the ultrasonic array, is demonstrated. Experimentally, our present approach can realize environment mapping for mobile robotics with the advantages of acceptable accuracy and low cost.

scholarly journals Economic Environmental Dispatch of Wind Integrated Thermal Power System

2020 ◽  
Vol 8 (6) ◽  
pp. 5186-5192
Keyword(s):  
Genetic Algorithm ◽  
Power Plant ◽  
Thermal Power ◽  
Nsga Ii ◽  
Strength Pareto Evolutionary Algorithm ◽  
Experimental Constraint ◽  
Thermal Power System ◽  
Power Plant Operation ◽  
Simulation Results ◽  
The Given

In electric power plant operation, Economic Environmental Dispatch (EED) of a thermal-wind is a significant chore to involve allocation of production amongst the running units so the price, NOx extraction status and SO2 extraction status are enhanced concurrently whilst gratifying each and every experimental constraint. This is an exceedingly controlled multiobjective optimizing issue concerning contradictory objectives having Primary and Secondary constraints. For the given work, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is recommended for taking care of EED issue. In simulation results that are obtained by applying the two test systems on the proposed scheme have been evaluated against Strength Pareto Evolutionary Algorithm 2 (SPEA 2).

scholarly journals Portable Generator Thermoelectric Termonitoring IoT sebagai Pembangkit Termal di Daerah 3T (Terdepan, Terluar dan Tertinggal)

Electrician ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 54-57
Author(s):  
Rahmat Bayu Setiawan ◽  
Panji Adhi Pradana ◽  
Muhammad Abdul Fattah ◽  
Khairudin Khairudin
Keyword(s):  
Renewable Energy ◽  
Power Plant ◽  
Electrical Energy ◽  
Thermoelectric Generators ◽  
Simulation Data ◽  
Power Generator ◽  
Testing Data ◽  
Micro Power ◽  
Simulation Results ◽  
The Government

Intisari — Energi terbarukan adalah sumber energi yang dihasilkan secara alamiah dan akan terus berkelanjutan jika dikelola dengan baik. Indonesia adalah negara yang terkenal dengan potensi alam yang sangat melimpah. Banyak sumber daya alam yang perlu perhatian dari pemerintah untuk dikembangkan. Pengaplikasian alat yang dapat dikembangkan yaitu di antaranya yaitu melalui termoelektrik yang dipantau melalui IoT secara portable sehingga dapat menjangkau daerah 3T (Tertinggal, Terdepan dan Terluar). Prototipe penghasil energi terbarukan dan ramah lingkungan dalam sistem pembangkit mikro, yang dalam hal ini portable generator termoelektrik termonitoring IoT sebagai pembangkit termal dapat dikembangkan untuk mengatasi pemerataan dan ketersediaan energi listrik di daerah 3T (terdepan, terluar dan tertinggal) berbasis kearifan lokal dapat didesain menggunakan 3-D INVENTOR dan hasil simulasi dari sisi material menggunakan ANSYS serta hasil simulasi dari output yang dihasilkan menggunakan MATLAB. Pembuatan prototipe sesuai dengan konsep dan desain yang telah didapatkan sebelumnya dengan menggunakan softwareMicroroft Visio, software INVENTOR dan evaluasi hasil simulasi dengan menggunakan software MATLAB. Hasil dari pembuatan prototipe akan dilakukan pengujian tingkat gradien suhu terbaik untuk menghasilkan energi optimal, sehingga didapatkan data optimal dalam menyimulasikan micro power plant tersebut. Berdasarkan simulasi yang dilakukan didapatkan data dengan daya minimum sebesar 6,215 W selama 2 menit dan daya maksimum sebesar 19,932 W selama 8 menit Kata kunci — Energi, IoT, Portable Generator ThermoelectricAbstract — Renewable energy is a source of energy that is generated naturally and will be sustainable if managed properly. Indonesia is a country known for its abundant natural potential. There are many natural resources that need attention from the government to be developed. The development of this power generator tool really requires an understanding of the design of the tools used to get optimal results. The application of tools that can be developed is through thermoelectricity which is monitored via IoT in a portable manner so that it can reach 3T areas (Disadvantaged, Frontier and Outermost). Prototypes for producing renewable and environmentally friendly energy in micro-generating systems, in which IoT-monitored portable thermoelectric generators as thermal generators can be developed to address the distribution and data of electrical energy in 3T (frontier, outermost and disadvantaged) areas based on local wisdom can be designed using 3 -D INVENTOR and simulation of materials using ANSYS and simulation of the output generated from MATLAB. Making prototypes in accordance with the concepts and designs that have been obtained previously using Microroft Visio software, INVENTOR software and evaluation of simulation results using MATLAB software. The results of the prototyping will be tested for the best temperature gradient level to produce optimal energy, so that optimal data can be obtained in simulating the micro power plant. Testing data that has been done, and used as evaluation material in the simulation that is carried out. Based on the simulation, data obtained with a minimum power of 6,215 W for 2 minutes and a maximum power of 19,932 W for 8 minutes.Keywords— Energy, IoT, Portable generator thermoelectric

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