WIND AND SOLAR PENETRATION IN DYNAMIC ECONOMIC EMISSION DISPATCH USING FLOWER POLLINATION ALGORITHMS

Abstract

Economic operation of power plant is the important task for planning and operation. Economic Load Dispatch is best method to solve this need but for society welfare emission has to be reduced as much as possible. Hence combined economic emission dispatch (CEED) is formulated having bi-objective of minimization of both generation cost as well emission of the generating plant. Renewable energy sources 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. Intelligent algorithm FPA (Flower Pollination 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 research paper.