Multi-Objective based Economic Dispatch and Loss Reduction considering Grasshopper Optimization Algorithm

In this work, by reducing the power loss of active power and the generator, a study on multi-objective based economic dispatch management is conducted. The best outcomes are observed after comparing several optimization strategies. These optimization comparisons are carried out in an IEEE 30 bus system by using both the equality and inequality constraints. There are restrictions on equality, such as line loss and power balance requirements, which require that power generation and demand be equal. The constraints on inequality include a number of bounds, such as restrictions on the amount of active and reactive power that can be produced, as well as on the voltage of the generator bus and the load bus. To determine which approach results in the lowest minimization of generation cost and overall system loss, the proposed Multi-objective Grasshopper Optimization Algorithm is contrasted with existing algorithms.