Optimal Reconfiguration and Optimal Allocation of Distributed Generation Using Different Optimization Techniques | ||
| ERJ. Engineering Research Journal | ||
| Article 1, Volume 46, Issue 1, January 2023, Pages 1-9 PDF (483.73 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/erjm.2022.154831.1199 | ||
| Authors | ||
| Soma Abdou Romeh* 1; Sohir Mohamed Allam2; Shaimaa Rabah Spea3; Sarah Mohammed Nasr4 | ||
| 1Electrical Engineering Department, Faculty of Engineering, Menoufia University, Egypt | ||
| 2Faculty of Engineering, Menofiya University | ||
| 3Electrical Engineering Department, Faculty of Engineering, Menoufia University, Shbin Elkoom Egypt | ||
| 4Department of Basic Engineering Science, Faculty of Engineering, Shebin El-Kom Menoufia University, Egypt | ||
| Abstract | ||
| Voltage drop and power losses are existing problems in radial distribution networks. Reconfiguration in distribution network aims to find the best switching combination of system branches that optimize a certain objective function while satisfying some specified constraints, which improves the quality of electrical power and used to increase the distribution network's performance. This paper presents optimal methods for optimizing of the distribution system reconfiguration and installation of DG units in distribution system for minimizing the losses of active power and improving bus voltage profile based on different optimization techniques such as a binary particle swarm optimization (BPSO) algorithm, binary Jaya (BJA) algorithm and Grasshopper Optimization algorithm (GOA). The load flow calculations are carried out using the backward/forward sweep method. The proposed methods are put to the test in the distribution system for the 33-bus test system. The simulation results find that the proposed algorithms reduced the losses of active power and increasing of system bus voltage, and solve the system reconfiguration problem and enhance the distribution system performance after adding of DG. The comparative results prove the efficiency of these methods compared to the other reported algorithms. The results further indicate the superiority of BJA technology over proposed technology’s improved system performance. | ||
| Keywords | ||
| Distribution network; Reconfiguration; DG; Optimization Techniques; Backward/forward sweep method | ||
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