Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow Framework
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 flo...
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IEEE
2019-01-01
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Online Access: | https://ieeexplore.ieee.org/document/8667823/ |
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author | M. B. Shafik Hongkun Chen Ghamgeen I. Rashed R. A. El-Sehiemy |
author_facet | M. B. Shafik Hongkun Chen Ghamgeen I. Rashed R. A. El-Sehiemy |
author_sort | M. B. Shafik |
collection | DOAJ |
description | 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. |
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issn | 2169-3536 |
language | English |
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spelling | doaj.art-2b7f7fc2cc5a4e00a76ccfb4507ff1b12022-12-21T23:26:34ZengIEEEIEEE Access2169-35362019-01-017369343694710.1109/ACCESS.2019.29052668667823Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow FrameworkM. B. Shafik0https://orcid.org/0000-0003-2877-5767Hongkun Chen1Ghamgeen I. Rashed2https://orcid.org/0000-0002-6720-9496R. A. El-Sehiemy3https://orcid.org/0000-0002-3340-4031Electric Power System Research Center, School of Electrical Engineering and Automation, Wuhan University, Wuhan, ChinaElectric Power System Research Center, School of Electrical Engineering and Automation, Wuhan University, Wuhan, ChinaElectric Power System Research Center, School of Electrical Engineering and Automation, Wuhan University, Wuhan, ChinaElectric Power System and Machines Department, Faculty of Engineering, Kafrelsheikh University, Kafr el-Sheikh, EgyptUsually, 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.https://ieeexplore.ieee.org/document/8667823/Energy utilization efficiencyoptimal power flow problemcompensationpower loss minimizationFACTS devices |
spellingShingle | M. B. Shafik Hongkun Chen Ghamgeen I. Rashed R. A. El-Sehiemy Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow Framework IEEE Access Energy utilization efficiency optimal power flow problem compensation power loss minimization FACTS devices |
title | Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow Framework |
title_full | Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow Framework |
title_fullStr | Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow Framework |
title_full_unstemmed | Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow Framework |
title_short | Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow Framework |
title_sort | adaptive multi objective parallel seeker optimization algorithm for incorporating tcsc devices into optimal power flow framework |
topic | Energy utilization efficiency optimal power flow problem compensation power loss minimization FACTS devices |
url | https://ieeexplore.ieee.org/document/8667823/ |
work_keys_str_mv | AT mbshafik adaptivemultiobjectiveparallelseekeroptimizationalgorithmforincorporatingtcscdevicesintooptimalpowerflowframework AT hongkunchen adaptivemultiobjectiveparallelseekeroptimizationalgorithmforincorporatingtcscdevicesintooptimalpowerflowframework AT ghamgeenirashed adaptivemultiobjectiveparallelseekeroptimizationalgorithmforincorporatingtcscdevicesintooptimalpowerflowframework AT raelsehiemy adaptivemultiobjectiveparallelseekeroptimizationalgorithmforincorporatingtcscdevicesintooptimalpowerflowframework |