A Hybrid Technique for the Performance Optimization in the Combustion Process of a Power Plant Boiler
P V Narendra Kumar1, ChChengaiah2, J V K Prasad3
1P V Narendra Kumar, Research Scholar, Department of EEE, Sri Venkateswara University, Tirupati, (Andhra Pradesh), India.
2Dr Ch Chengaiah, Professor, Department of EEE, Sri Venkateswara University, Tirupati, (Andhra Pradesh), India.
3J V K Prasad, Divisional Engineer, APGENCO, (Andhra Pradesh), India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 30, 2019. | Manuscript published on December 30, 2019. | PP: 5556-5559 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B5160129219/2019©BEIESP | DOI: 10.35940/ijeat.B5160.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Coal-based warm power stations are the pioneers in control age in India and are significantly awesome nonlinear structures. The warm introduction data procured from thermal control plant shows that glow rate and evaporator capability is changing consistently and the plant is doubtlessly losing a couple of Megawatts of electric power, and more fuel use as such achieving significantly higher carbon impressions. It is incredibly difficult to examine the rough data recorded step by step during the full power action of the plant in light of the fact that a warm power plant is a staggering structure with an enormous number of parameters. Subsequently there is a prerequisite for nonlinear showing for the power plant execution assessment in order to satisfy the growing needs of money related and operational necessities. The point of this paper is to give a blueprint of a coal-ended power plant, in perspective on real plant data and this fills in as the internal model for estimate of the Heat Rate and Boiler Efficiency. This model of the thermodynamics of a power plant is used to choose the effect of changes in different elements upon the glow rate and evaporator capability utilizing affectability coefficients, which show the heading of progress in the variable that will improve warmth rate and pot adequacy, and thus exhibits the general criticalness of these different components. This information can be used to provide guidance to the plant managers and pros concerning where they should devour their undertakings to improve the glow rate and evaporator viability. Further assortment in these key parameters foreseen by affectability examination helps in extemporization of Heat Rate and Boiler Efficiency.
Keywords: Super basic coal-terminated power unit, fluidized bed boiler, Heat Rate and Boiler Efficiency execution, delicate registering strategies, Artificial Neural Network (ANN) and the Salp Swarm Optimization Algorithm (SSA).