Abstract
This article proposes a new approach based on a bio-inspired Cuckoo Search Algorithm (CSA) that can significantly envisage with several issues for optimal allocation of distribution static compensator (DSTATCOM) in Radial Distribution System (RDS). In the proposed method, optimal locations of the DSTATCOM are calculated by using the Loss Sensitivity Factor (LSF). The optimal size of the DSTATCOM is simulated by using the newly developed CSA. In the proposed method, load flow calculations are performed by using a fast and efficient backward/forward sweep algorithm. Here, the mathematically formed objective function of the proposed method is to reduce the total system power losses. Standard 33-bus and 69-bus systems have been used to show the effectiveness of the proposed CSA-based optimization method in the RDS with different load models. The simulated results confirm that the optimal allocation of DSTATCOM plays a significant role in power loss minimization and enhanced voltage profile. The placement of DSTATCOM in RDS also plan an important role for minimizing uncertainties in the distribution level. The proposed method encourages one to use renewable-based resources, which results in affordable and clean energy.
Highlights
The voltage levels of distribution networks reduce as the buses moved away from the substation, and the power losses will be high in case of distribution networks
The values of the parameters used for the calculation of total annual cost savings (TACS) of DSTATCOM are taken from the References [25,26]
A new approach is proposed for the optimization problem of DSTATCOM placement
Summary
The voltage levels of distribution networks reduce as the buses moved away from the substation, and the power losses will be high in case of distribution networks. Losses in distribution systems can be reduced by placing proper compensating devices. In this sense, capacitors play a vital role in reducing power losses in distribution systems. The distributors need to take care of these capacitor costs, as well as to place them at optimal locations with optimal sizes. Another issue of the capacitor placement is that the balancing of the load is not granted because of the capacitor operating problems like resonance
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