Wind and solar penetration in dynamic economic emission dispatch using flower pollination algorithm [articol]

Abstract

Economic operation of power plant is an important task for planning and operation. Economic Load Dispatch is the best method to solve this need but for the welfare of the society emission has to be reduced as much as possible. Hence Combined Economic Emission Dispatch (CEED) is formulated which is having bi-objective of minimization of both generation cost as well as emission of the generating plant. Renewable energy sources such as wind power generation and solar power generation may inject into the power system and further generation cost and emission is reduced. In this research work, predicted wind and solar power generation is penetrated into the power system. Dynamic CEED for 24 hours is formulated with penetrated renewable energy generation. Flower Pollination Algorithm (FPA) which is an intelligent algorithm is implemented to find global optimal solution for the considered dynamic CEED problem. IEEE Standard test case power system for 24 hours dynamic loading with predicted renewable energy penetration impact is analyzed in this paper.