Optimal Allocation of DG and DSTATCOM in Radial Distribution System Using Cuckoo Search Optimization Algorithm
Author(s) -
T. Yuvaraj,
K. Ravi,
K. R. Devabalaji
Publication year - 2017
Publication title -
modelling and simulation in engineering
Language(s) - English
Resource type - Journals
eISSN - 1687-5591
pISSN - 1687-5605
DOI - 10.1155/2017/2857926
Subject(s) - cuckoo search , sizing , voltage , control theory (sociology) , mathematical optimization , sensitivity (control systems) , distributed generation , ac power , engineering , algorithm , stability (learning theory) , computer science , mathematics , electronic engineering , particle swarm optimization , renewable energy , art , control (management) , artificial intelligence , electrical engineering , visual arts , machine learning
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
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom