Paper Info
Title
Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow Framework.
Abstract
Usually, the optimal integration of thyristor-controlled series compensators (TCSCs) aims at enhancing power system performance like all of flexible AC transmission systems (FACTS) devices. The insertion of TCSC unites targets to minimize active/reactive power losses, increase transmission-lines flow reserve beyond the thermal limit, and improve the voltage profile while maintaining the total generation cost of the system slightly affected compared to its single objective base case. In this paper, the optimal power flow (OPF) framework is considered to find the best site and size of the TCSCs devices considering techno-economic issues for reducing the costs of installed TCSCs devices as well as for generation costs. An adaptive parallel seeker optimization algorithm (APSOA) is investigated to employ this techno-economic study. The proposed APSOA is used to solve the multi-objective OPF problem while LSR reduces the search space. The proposed algorithm is tested over three IEEE standards with 9-, 30- and 57-bus test systems at normal and contingency operating conditions. Also, a large system of IEEE 118-bus is used also in order for the proposed technique to be adopted by industry, sound solutions for practical and realistic test systems are needed besides proof of concept on small IEEE test systems. Four-study cases considered to demonstrate the capabilities and gains of the proposed method from the point of view of reducing losses and total voltage deviation to lower levels as compared to those on literature for better energy utilization efficiency.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2905266
IEEE ACCESS
Keywords
Field
DocType
Energy utilization efficiency,optimal power flow problem,compensation,power loss minimization,FACTS devices
Power flow,Computer science,Control engineering,Optimization algorithm,Distributed computing
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
M. B. Shafik100.34
Hongkun Chen222.06
Ghamgeen I. Rashed300.34
Ragab A. El-Sehiemy4559.37