A novel multi-objective modified symbiotic organisms search algorithm for optimal allocation of distributed generation in radial distribution system

2020 ◽  
Author(s):  
Subhodip Saha ◽  
V. Mukherjee
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Optimal Allocation ◽  
Search Algorithm ◽  
Symbiotic Organisms Search ◽  
Radial Distribution System ◽  
Multi Objective ◽  
Symbiotic Organisms

scholarly journals Optimal Allocation of DG and DSTATCOM in Radial Distribution System Using Cuckoo Search Optimization Algorithm

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
T. Yuvaraj ◽  
K. Ravi ◽  
K. R. Devabalaji
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Optimal Allocation ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Optimal Location ◽  
Total Power ◽  
Sensitivity Factor ◽  
Optimal Size ◽  
Radial Distribution System

This paper proposes a new approach to determine the optimal location and sizing of Distributed Generation (DG) and Distribution STATic COMpensator (DSTATCOM) simultaneously in the distribution network. The objective function is formulated to minimize the total power losses of the system subjected to equality and inequality constraints. Loss sensitivity factor (LSF) and Voltage Stability Index (VSI) are used to predetermine the optimal location of DG and DSTATCOM, respectively. Recently developed nature-inspired cuckoo search algorithm (CSA) has been used to determine the optimal size of both DG and DSTATCOM. In the present work, five different cases have been considered during DG and DSTATCOM placement to access the performance of the proposed technique. To check the feasibility, the proposed method is tested on IEEE 12-bus, 34-bus, and 69-bus radial distribution system and the results were compared with other existing techniques.

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