European Journal of Molecular & Clinical Medicine

Installation 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.

This article presents an evaluation of the optimal location and dimensioning of distributed generation in electrical energy distribution systems. For such evaluation, the Shuffled Frog-Leaping Algorithm has been considered. In the problem of optimal location and dimensioning, two objectives have been considered: the minimization of active losses and the improvement of the voltage profile. To compare the effectiveness of the implemented methods, IEEE-33 bus test distribution system is used. The correct location and dimensioning of the distributed generation allowed to substantially improve the network voltage profile and reduce losses for the test system.