Please use this identifier to cite or link to this item: http://idr.iitp.ac.in/jspui/handle/123456789/267
Title: Analytical and Evolutionary Approaches for Combined Economic and Emission Dispatch
Authors: Meena, G. K.
Keywords: Electrical Engineering
Issue Date: 2015
Abstract: In practical situations and under normal operating conditions, the generating capacity of power is more than the total losses and load demand . The power plants also have different fuel cost and they are are located at different distance from the load centers. The economic load dispatch problem of electric power generation is used to satisfy the load demand of all generating units by satisfying the all generating units and systems equality and unequality constraints. Economic dispatch problem is very complex due to its non linearity and lots of constraints. Emission dispatch problem is also to minimize the fuel cost in addition with economic load dispatch. There are many method to solve the economic and emission dispatch problems. But in this project, Economic, emission and combined economic & emission dispatch problem is being solved using analytical method based on mathematical modelling instead of using different multi-objective constraints methods. The equation of total fuel cost, total emission cost, transmission losses and total generation are expressed in term of total load demand.Direct mathematical manipulation is used instead of using iterative method to solve combined economic & emission dispatch problem with multiple constraints. The coefficients of the equation of total fuel cost, total emission cost, transmission losses and total generation are expressed in term of fuel cost coefficients & emission cost coefficient after doing some mathematical manipulation so that it is easy to find out total fuel cost, power generation of each generating unit within power limits and total emission cost. In this project i am solving economic, emission and combined economic & emission dispatch problem without losses as well as with losses. The system is also being solved using genetic algorithm. GAs are search methods based on principles of natural selection and genetics. The Pareto optimal solution can be determined using total fuel cost and emission. GA does not give exact solution. It changes according to real time. GA is used for comparison purpose.
URI: http://hdl.handle.net/123456789/267
Appears in Collections:03. EE



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