Hybrid Cuckoo Search-Evolutionary Programming Technique for Distributed Generation and Battery Energy Storage Installation
European Journal of Molecular & Clinical Medicine,
2021, Volume 8, Issue 2, Pages 495-507
AbstractInstallation of distributed generation (DG) in distribution system has been favorable among them due to its great
impact on power system operation. However, improper installation of DGs will lead to under-compensation or overcompensation phenomena. Thus, a reliable optimization technique is required to address this problem. This paper proposes a hybrid cuckoo search evolutionary programming (HCSEP) based technique for renewable energy
distributed generation (REDG) and battery energy stored (BES) for loss and voltage stability control in power system. This technique integrates the operator in cuckoo search algorithm into the traditional evolutionary programming (EP) technique to alleviate the setback experienced in both traditional techniques. The proposed technique determines the optimal allocation and sizing of multi-units of DG and BES to address the loss minimization and voltage stability control. Validation on the proposed technique on the IEEE 30-Bus Reliability Test System (RTS) managed to produce convincing results and could be beneficial to the utility. Comparative studies conducted between the proposed HCSEP and the traditional EP highlight the superiority of the proposed HSCEP.
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