scholarly journals Design of PID Filter Controller with Genetic Algorithm for Mimo System in Modern Power Generation

2014 ◽  
Vol 8 (5) ◽  
pp. 186 ◽  
Author(s):  
Anitha Mary. X ◽  
L. Sivakumar ◽  
J. Jayakumar
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Mimo System ◽  
Calorific Value ◽  
Operating Conditions ◽  
Tuning Parameters ◽  
Coal Gasifier ◽  
A New Technique ◽  
And Performance ◽  
Main Component

In this work, a new technique based on Genetic Algorithm for designing multivariable PID filter controller has been developed and applied to gasifier control of ALSTOM benchmark challenge II. The coal gasifier is the main component in Modern power generation. Coal gasifier involves several performance and robustness requirements in addition to actuator constraints under three operating loads (no-load, 50% and 100% load). The proposed GA optimises the tuning parameters of PID constants in terms of robustness and performance. The optimised controller meets all design objectives under all operating conditions. Robustness of the controller is tested for step and sinusoidal pressure disturbances applied at the inlet of throttle valve along with increase and decrease of calorific value of fuel fed-in (coal). Simulation results obtained confirmed the superiority of proposed technique for gasifier problems. 

Genetic-Algorithm-Based Performance Optimization for Non-Linear MIMO System

2021 ◽  
pp. 1285-1317
Author(s):  
Anitha Mary Xavier
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Performance Optimization ◽  
Mimo System ◽  
Control Strategies ◽  
New Technology ◽  
Academic Community ◽  
Local Pollution ◽  
Integrated Gasification ◽  
Stringent Performance

Environmental regulations demand efficient and eco-friendly ways of power generation. Coal continues to play a vital role in power generation because of its availability in abundance. Power generation using coal leads to local pollution problems. Hence this conflicting situation demands a new technology - Integrated Gasification Combined Cycle (IGCC). Gasifier is one of the subsystems in IGCC. It is a multivariable system with four inputs and four outputs with higher degree of cross coupling between the input and output variables. ALSTOM – a multinational and Original Equipment Manufacturer (OEM) - developed a detailed nonlinear mathematical model, validated made this model available to the academic community and demanded different control strategies which will satisfy certain stringent performance criteria during specified disturbances. These demands of ALSTOM are well known as “ALSTOM Benchmark Challenges”. The chapter is addressed to solve Alstom Benchmark Challenges using Proportional-Integral-Derivative-Filter (PIDF) controllers optimised by Genetic Algorithm.

A Review of Hybrid Solar–Fossil Fuel Power Generation Systems and Performance Metrics

2012 ◽  
Vol 134 (4) ◽  
Author(s):  
Elysia J. Sheu ◽  
Alexander Mitsos ◽  
Ahmad A. Eter ◽  
Esmail M. A. Mokheimer ◽  
Mohamed A. Habib ◽  
...  
Keyword(s):  
Power Generation ◽  
Hybrid Systems ◽  
System Integration ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Performance Metrics ◽  
Operating Conditions ◽  
Selling Price ◽  
And Performance ◽  
Hybrid Cycle

A literature review of hybrid solar–fossil fuel power generation is given with an emphasis on system integration and evaluation. Hybrid systems are defined as those which use solar energy and fuel simultaneously, thus excluding the viable alternative of solar thermal plants which use fossil fuels as backup. The review is divided into three main sections: performance metrics, the different concentrated solar receiver technologies and their operating conditions, and the different hybridization schemes. In addition, a new linear combination metric for analysis of hybrid systems, which considers trade-off of different metrics at the fleet level, is presented. This metric is also compared to alternative metrics from multi-objective optimization. Some previous work only evaluates the hybrid cycle at a certain point in time, which can be misleading as this evaluation would not take into account certain aspects of hybrid cycle, such as fluctuating solar supply. Furthermore, almost all previous work designs the hybrid solar–fossil fuel systems for a certain point in time and then evaluates the performance of the system for an entire year. By not taking into account fluctuating solar supply and selling price of electricity in the design of the system, the best possible annual performance of the hybrid cycle may not be reached.

scholarly journals Modified gypsum binder for interior systems

2021 ◽  
Vol 258 ◽  
pp. 09086
Author(s):  
G.A Utegenova ◽  
M.O Asamatdinov ◽  
B.A Kalbaev ◽  
Andrey Medvedev ◽  
Alexey Zhukov
Keyword(s):  
Building Materials ◽  
Raw Materials ◽  
Operating Conditions ◽  
Natural Material ◽  
Cement Mortars ◽  
Harmful Emissions ◽  
Pot Life ◽  
And Performance ◽  
Main Component ◽  
Traditional Processing

As the main component for many interior plaster mixes, a natural gypsum binder or its analogues is used, which are products of processing of local raw materials or by-products of other industries. Under operating conditions, gypsum binder-based plaster coatings have two main features. The first is the ability to regulate room humidity and absorb harmful emissions. The second is the ability to implement the function of barrier protection in the event of a fire. Improving the quality of plastering works and optimizing their cost is associated with the development of modified compositions based on gypsum, justified use of waste and local building materials, which include clay-gypsum binder. Clay gypsum as a natural material of sedimentary origin is widespread both in Russia and in the states formed in the post-Soviet space. In terms of energy intensity and manufacturability, the processing of raw materials into a clay-gypsum binder does not differ from the conditions of traditional processing of natural gypsum. Compared to lime or cement mortars, mortars based on gypsum binder have greater elasticity and plasticity. Such properties associated with the manufacturability of the application, such as workability and thixotropy, as well as the interval for maintaining the pot life of the mixture, are controlled by the introduction of modifying additives, the evaluation of the formulation of which was the purpose of the research, the results of which are presented in the article. The studies carried out have established that varying the recipe parameters make it possible to regulate both the strength and performance characteristics of mixtures based on gypsum plaster, as well as the manufacturability of their application.

Estimation of excitation capacitance requirement of an isolated multi-phase induction generator for power generation

2016 ◽  
Vol 7 (2) ◽  
pp. 561 ◽  
Author(s):  
Alok Kumar Mohanty ◽  
K B Yadav
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Power Generation ◽  
Electrical Power Generation ◽  
Electrical Power ◽  
Operating Conditions ◽  
Induction Generator ◽  
Unknown Parameters ◽  
Induction Generators ◽  
Multi Phase

<table width="593" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="387"><p> </p><p>Self Excited induction generators are used in remote places for electrical power generation from both conventional as well as non-conventional sources. An Induction generator can operate as a capacitor excited machine provided the machine is driven beyond synchronous speed and a suitable capacitor is connected across its terminals. In this paper a technique has been proposed to estimate the values of excitation capacitances to maintain desired terminal voltages in a multi-phase induction generator. A mathematical model using nodal admittance technique of a six-phase induction generator has been analyzed. Genetic algorithm technique is applied here to obtain the unknown parameters and the capacitance requirements to obtain desired terminal voltages under various operating conditions.</p></td></tr></tbody></table>

Genetic-Algorithm-Based Performance Optimization for Non-Linear MIMO System

2018 ◽  
pp. 49-83
Author(s):  
Anitha Mary Xavier
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Performance Optimization ◽  
Mimo System ◽  
Control Strategies ◽  
New Technology ◽  
Academic Community ◽  
Local Pollution ◽  
Integrated Gasification ◽  
Stringent Performance

Environmental regulations demand efficient and eco-friendly ways of power generation. Coal continues to play a vital role in power generation because of its availability in abundance. Power generation using coal leads to local pollution problems. Hence this conflicting situation demands a new technology - Integrated Gasification Combined Cycle (IGCC). Gasifier is one of the subsystems in IGCC. It is a multivariable system with four inputs and four outputs with higher degree of cross coupling between the input and output variables. ALSTOM – a multinational and Original Equipment Manufacturer (OEM) - developed a detailed nonlinear mathematical model, validated made this model available to the academic community and demanded different control strategies which will satisfy certain stringent performance criteria during specified disturbances. These demands of ALSTOM are well known as “ALSTOM Benchmark Challenges”. The chapter is addressed to solve Alstom Benchmark Challenges using Proportional-Integral-Derivative-Filter (PIDF) controllers optimised by Genetic Algorithm.

Active On-Line Protective Tuning Adjustment Technique to Achieve Better Availability and Performance in Pre-Mix DLN Combustion

2003 ◽  
Author(s):  
C. Koeneke ◽  
M. Nomura ◽  
H. Iba ◽  
T. Kawakami ◽  
T. Koga
Keyword(s):  
Gas Turbines ◽  
Pressure Fluctuations ◽  
Calorific Value ◽  
Combined Cycle ◽  
Operating Conditions ◽  
Protection System ◽  
Fuel Quality ◽  
Flame Instability ◽  
On Line ◽  
And Performance

Stable combustion of gas turbines is essential to ensure reliability, availability and achieve maximum component life capability. Combustor instabilities can trigger high-pressure fluctuations that are generally due to sudden changes in fuel calorific value or fuel quality, large ambient temperature swings, or sudden changes in operating load conditions. In order to protect against combustor instabilities, Mitsubishi developed an advanced monitoring and protection system known as the Advanced Combustor Pressure Fluctuation Monitoring (advanced CPFM) system. This on-line monitoring and protection system automatically tunes the air bypass valve, main and pilot fuel flows to maintain appropriate fuel/air ratio depending on the combustion chamber flame instability condition. The response to such actions successfully prevents flame out occurrence, combustion oscillation, and flame flash back under various modes while trying to maintain emissions within specified levels. This paper describes the operation and functionalities of the advanced CPFM system that has been tested at Mitsubishi’s in-house combined cycle power plant under real operating conditions.

Techniques for Determining the Parameters of a Two-Dimensional Tire Model for the Study of Ride Comfort

1997 ◽  
Vol 25 (3) ◽  
pp. 187-213 ◽  
Author(s):  
F. Mancosu ◽  
G. Matrascia ◽  
F. Cheli
Keyword(s):  
Physical Properties ◽  
Ride Comfort ◽  
Dynamic Test ◽  
Longitudinal Direction ◽  
Tire Model ◽  
Rigid Ring ◽  
Ring Model ◽  
Mass Moment ◽  
A New Technique ◽  
And Performance

Abstract A rigid ring model of the tire for the study of in-plane dynamics and a new technique for determining the parameters of the model are presented in this paper. This model can be used for studying the comfort of vehicles, problems of driving, and braking problems in the longitudinal direction. Comparison with finite element models shows that the rigid ring model of the tire is capable of describing the in-plane eigenmode shapes in the frequency range of 0–130 Hz. The well-known “brush model,” integrated into the tire model, is introduced to take into account the slide phenomena in the contact patch. The parameters of the model can be correlated with the physical properties of the tire so that designers can take advantage of such a correlation in the development of new tires in terms of time, cost, and performance. The technique used to determine the parameters of the model for some automobile tires include the direct measurements of some physical properties (mass, moment of inertia, stiffness) and a method of identification applied on the results from a dynamic test. The model is able to predict experimental data in terms of natural frequencies and relative dampings. Results from the application of this technique on two tires are reported.

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