scholarly journals Markov Modeling and Behavior Analysis of Steam Generation (SG) System in a Thermal Power Plant (TPP)

2021 ◽  
Vol 23 (07) ◽  
pp. 574-582
Author(s):  
Vikas Modgil ◽  
Keyword(s):  
Genetic Algorithm ◽  
Power Plant ◽  
State Transition ◽  
Thermal Power ◽  
Markov Modeling ◽  
Steam Generation ◽  
Transition Diagram ◽  
State Transition Diagram ◽  
And Behavior ◽  
Markov Method

Steam generation (SG) system having five subsystems, namely Economizer, Reheater, Superheater, Furnace, Turbines, and Generator. The differential equations are acquired from the state transition diagram (STD) made pertaining to the real environment of the plant using Markov Method (MM). To get the performance of the system these equations are being worked out using normalizing conditions. The Performance values are attained by providing the apt values of failure and repair rates (FRRs) in the Markov model. Optimal Availability of the system is achieved with the Genetic algorithm (GA) technique.

MARKOV APPROACH FOR PREDICTIVE MODELING AND PERFORMANCE EVALUATION OF A THERMAL POWER PLANT

2010 ◽  
Vol 17 (01) ◽  
pp. 41-55 ◽  
Author(s):  
SORABH GUPTA ◽  
P. C. TEWARI
Keyword(s):  
Power Plant ◽  
Predictive Model ◽  
Predictive Modeling ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Probabilistic Approach ◽  
Present System ◽  
Steam Generation ◽  
Generation System ◽  
Transition Diagram

The present paper deals with the opportunities for the availability predictive modeling of a thermal plant using Markov process and probabilistic approach. These opportunities will be identified by evaluation of a predictive model to be built for the steam generation system of a thermal power plant. This feasibility study covers two areas: development of a predictive model and evaluation of performance with the help of developed model. The present system under study consists of five subsystems with three feasible states: full working, reduced capacity working and failed. After drawing transition diagram, differential equations are generated and then a probabilistic simulated predictive model using Markov approach has been developed considering some assumptions. Availability matrix for each subsystem is also developed, which provide various availability levels. On the basis of this study, performance of each subsystem of steam generation system is evaluated and then maintenance decisions are made for subsystems.

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).

The State Transition Diagram

2012 ◽  
pp. 153-157
Author(s):  
Saul Greenberg ◽  
Sheelagh Carpendale ◽  
Nicolai Marquardt ◽  
Bill Buxton
Keyword(s):  
State Transition ◽  
The State ◽  
Transition Diagram ◽  
State Transition Diagram
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