Arithmetic Optimization Algorithm for Demand Side Management Incorporated Dynamic Economic Emission Dispatch

Toxic gases are released into the environment during electricity production by fossil fuel-powered generators. Along with encouraging the use of RES, power engineers also have a responsibility to find a compromise solution that will result in fewer hazardous gas emission when electricity is produced profitably. In order to address this challenge a numerical approach called environment constrained economic dispatch (ECED) yields a better-compromised solution among various techniques available. Demand side management, often known as DSM, is a tactic that is widely used in the industry of environmental engineering. DSM is primarily concerned with the optimisation of dispatchable loads in an effort to reduce overall energy consumption. It redistributes the load demand profile in such a way so as to lower the generation cost without curtailing the demand at any point. This paper implements a recently developed arithmetic optimization algorithm (AOA) to obtain a balance between minimum generation cost and pollutants both with and without the involvement of DSM. Numerical results claim the positive effects of DSM along with the superiority of AOA compared to some widely used algorithms in solving Dynamic Economic Emission Dispatch (DEED) problems.