Summary
Economic‐emission load dispatch optimization problem is an essential task in power plants with internal combustion engines. In power plants, in addition to electricity, a lot of air pollution by exhaust gases is generated. There are many international standards that establish the permissible limits of different substances but still have not developed an expression to evaluate the environmental impact caused by all components of the exhaust gases as a whole. A new method to evaluate this impact is developed in this paper. The developed mathematical expression was called “emission index.” To get a better idea of the environmental impact of each type of engine, the “specific emission index”, which is the emission index divided by the power delivered by the engine. This paper also presents a mathematical model for a multiobjective optimization of economic‐emission load dispatch using nondominated sorting genetic algorithm II.
Mu ul lt ti ic cr ri it te er ri ia a d de es si ig gn n o of f p pa as ss si iv ve e h ha ar rm mo on ni ic c f fi il lt te er rs s f fo or r i in nd du us st tr ri ia al l i in ns st ta al ll la at ti io on ns s u us si in ng g e ev vo ol lu ut ti io on na ar ry y c co om mp pu ut ta at ti io on n t te ec ch hn ni iq qu ue es s
The development of a computational tool to support the decision of load dispatch according to the operational conditions of motors and generators of power plants is proposed, which are classified in relation to the probabilities of faults by a fuzzy system developed in this text, from indicators obtained from the analysis of lubricating oil, vibration analysis, and thermography of power generation equipment. The basis for the study is based on the principle of operation and operational conditions of the equipment to be dispatched for generation in a power plant, in addition to its particularities as specific consumption and the polluting emission for each equipment. In this way, this work aims not only to provide the tools to monitor these equipment but also, based on the management reports of vibration, temperature, and oil analysis, take corrective actions to maintain the necessary reliability and achieve the quality of the service through a preclearance procedure that takes into account the operating conditions of the equipment, obtaining performance indicators of the plan.
Nowadays, the Brazilian electric sector still has a vast complication in the generation of energy, It has been impacted by some changes that strongly influence this distribution in the energy sector. The economic load dispatch (ELD) comes to assist and supply the demand of the sector in front of some factors that directly interfere in the decentralization of this generation, in the independent production of the concessionaires and in the intensive use of alternative energy sources. The objective of the economic load dispatch (ELD) is to decide the power generated by eac h one of the motors of a thermal plant ensuring that the total cost of the fuel is minimum. At the same time is necessary to guarantee that the total demand and losses at any instant must be equal to the total generation or power supplied by the plant. This paper presents a mathematical model and its solution using the MATLAB optimization toolbox, specifically the genetic algorithms, to solve the ELD problem. In addition, a case study is presented for 10 generating units considering the power losses and the restrictions of the generators, and turning off the less efficient generators .
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