Assessment of Dynamic Economic and Emission Dispatch Problem using WOA in Networked Grids with Photovoltaic Power Injection

Abstract

Since decades, the main aim for the researchers is to get reliable and inexpensive electricity out of available resources. Till now, different economic dispatch methods have been developed to meet the challenges of continuous and sustainable electricity production at optimized cost. Due to the increase of public awareness on environmental protection, the utilities have forced to use renewable energy sources to modify the operation strategies to reduce the pollution and atmospheric emissions produced due to power plants. This paper represents the allocation of dynamic economic emission dispatch (DEED) problem involving thermal and photovoltaic (PV) generation system as hybrid dynamic economic emission dispatch (HDEED) to meet the minimization of both the cost of fuel and emission simultaneously. Whale optimization algorithm (WOA) is used to minimize the total cost of operation and emission levels while dispatching power to committed generation units considering all operational constraints. To show the efficiency, the proposed technique is applied to solve the dynamic economic emission dispatch problem on 5- and 10-unit test systems. The technique is also used to solve the HDEED problem on IEEE 30-bus 6-unit and IEEE 57-bus 7-unit test system with and without renewable generation. The results obtained after injection of photovoltaic power into existing power systems show the effectiveness of the proposed techniques to reduce the cost of operation and emission levels.