Scheduling power generations are very important in power system operations to meet various combinations of generating units for providing electric energy in order to operate more economically for supplying power demands. This strategy is able to cover using a combined economic and emission dispatch (CEED) considered pollutant emission and fuel consumption aspects under operational constraints for optimizing the total operating cost. The pollutant production is embedded in the CEED using a penalty factor to become the same priority cost function. This paper introduces a new penalty factor approach for combining emission and economic dispatches solved using the latest intelligent computation. Results obtained on IEEE-62 bus system show different performances of previous and new penalty factor approaches. Moreover, the CEED is carried out in the similar result for the total power output. The time consumption, operating cost, and speed of the new approach are less than one others while obtaining the optimal solution.
This paper presents performances of a harvest season artificial bee colony (HSABC) algorithm for obtaining the best solution of a combined economic and emission dispatch (CEED). Two strategies of placement are applied to IEEE-30 bus system for solving the CEED problem under some constraints. Modified rates and various distances are also used to demonstrate HSABC's performances. Simulation results show that two placement strategies have different implications for the CEED, application of various modified rates and distances affect to convergence speeds, minimum results are searched in different starting points at the first iteration and the total number of food sources gives effects to the HSABC's performances.
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