Abstract:
The economic load dispatch problem in a power system is to determine the optimal combination of power outputs for all generating units which will minimize the total fuel cost while satisfying all practical constraints. Since optimal economic dispatch is not environmentally the best solution so it is required to reduce the pollution or emission dispatch problem. Here, an attempt has been made to solve the economic-emission load dispatch problem using Cuckoo search algorithm and NSGA II. In single objective best solution easily can be identified by getting the best value from the objective function but in multi objective it is not straight forward hence the Non-dominated sorting is used. In this journal, the EED model is established considering with and without wind power. The Cuckoo Search Algorithm and Non-Dominating Sorting Genetic Algorithms are applied to solve the proposed model. To demonstrate the performance of the improved CSA and NSGA algorithm, the traditional EED problem of the standard IEEE 30-bus 6-generator system is solved and the results obtained by these algorithms show its superior performance. And an important significance test for goodness of fit of theoretical distribution is described by the chi-square test it is also studied for NSGA II to show the algorithm effectiveness and error free solution
