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A Solution to Multi Objective Optimal Power Flow Using Hybrid Cultural-based Differential Evolution
| Content Provider | CiteSeerX |
|---|---|
| Author | Srikun, Isaree Ruekkasaem, Lakkana Aungkulanon, Pasura |
| Abstract | Abstract. This paper presents a hybrid Cultural-based Differential Evolution for solving a multi-objective Optimal Power Flow (OPF) in support of power system operation and control. The multi-objective OPF was formulated for tackling with total generation cost and environmental impacts simultaneously. The proposed method was applied to the standard IEEE 30-bus test system. The results show that solving the multi-objective OPF problem by the Cultural-based Differential Evolution is more effective than other swarm intelligence methods in the literature. |
| File Format | |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
