Multi-Objective Optimization for Simultaneous Optimal Sizing & Placement of DGs and D-STATCOM in Distribution Networks Using Artificial Rabbits Optimization

It is becoming more important to use electric networks efficiently as power grids expand and modernize. Reducing existing challenges, such as excessive power losses, poor voltage profiles, voltage instability, unreliable operation, etc., is essential due to the high cost of constructing and expanding power grids. Today, minimizing losses in network distribution is crucial. On the other hand, distribution networks are using distributed generation sources (DGs) much more commonly. o prevent these problems, Distribution Synchronous Static Compensator (D-STACTOM) can be used in electric distribution networks as a shunt compensator device. Economic feasibility, needed quality, dependability, and availability should all be considered while deciding on the best location and size for D-STACOM. Therefore, by picking the appropriate place and size, these resources can play a crucial part in lowering the power losses of distribution networks. D-FACTS tools like D-STATCOM in distribution networks and DGs can significantly contribute to reducing losses and compensating reactive power. The optimal sizing & placement of DGs and D-STATCOM in the radial distribution network is covered in this article. The proposed method's desired outcomes include lowering active power losses, enhancing voltage stability and profile, and minimizing costs. The Artificial Rabbits Optimization (ARO) algorithm has resolved this optimization issue. The IEEE 33 bus standard system tests the suggested method for analysis. The results are compared with two algorithms, Harris Hawks Optimization (HHO) and Emperor Penguins Colony (EPS), to investigate the capability of the algorithm proposed for optimal sizing and placement problems. According to the simulation results, the ideal placement and size for DGs and D-STATCOM can significantly lower network losses and enhance the voltage profile.