Coordination of Power-System Stabilizers and Battery Energy-Storage System Controllers to Improve Probabilistic Small-Signal Stability Considering Integration of Renewable-Energy Resources
This paper proposes a probabilistic method to obtain optimized parameter values for different power-system controllers, such as power-system stabilizers (PSSs) and battery energy-storage systems (BESSs) to improve probabilistic small-signal stability (PSSS) considering stochastic output power due to...
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doaj-ab7d40bfb26d463c8e9423033ef0d2dc2020-11-25T00:07:57ZengMDPI AGApplied Sciences2076-34172019-03-0196110910.3390/app9061109app9061109Coordination of Power-System Stabilizers and Battery Energy-Storage System Controllers to Improve Probabilistic Small-Signal Stability Considering Integration of Renewable-Energy ResourcesSamundra Gurung0Sumate Naetiladdanon1Anawach Sangswang2Department of Electrical Engineering, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok 10140, ThailandDepartment of Electrical Engineering, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok 10140, ThailandDepartment of Electrical Engineering, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok 10140, ThailandThis paper proposes a probabilistic method to obtain optimized parameter values for different power-system controllers, such as power-system stabilizers (PSSs) and battery energy-storage systems (BESSs) to improve probabilistic small-signal stability (PSSS) considering stochastic output power due to wind- and solar-power integration. The proposed tuning method is based on a combination of an analytical method that assesses the small-signal-stability margin, and an optimization technique that utilizes this statistical information to optimally tune power-system controllers. The optimization problem is solved using a metaheuristic technique known as the firefly algorithm. Power-system stabilizers, as well as sodium–sulfur (NaS)-based BESS controllers with power-oscillation dampers (termed as BESS controllers) are modeled in detail for this purpose in DIGSILENT. The results show that the sole use of PSSs and BESS controllers is insufficient to improve dynamic stability under fluctuating input power due to the integration of renewable-energy resources. However, the proposed strategy of using BESS and PSS controllers in a coordinated manner is highly successful in enhancing PSSS under renewable-energy-resource integration and under different critical conditions.http://www.mdpi.com/2076-3417/9/6/1109cumulant methodNaSfirefly algorithmstochasticprobability density functionGram–Charlier expansionpower-system stability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Samundra Gurung Sumate Naetiladdanon Anawach Sangswang |
spellingShingle |
Samundra Gurung Sumate Naetiladdanon Anawach Sangswang Coordination of Power-System Stabilizers and Battery Energy-Storage System Controllers to Improve Probabilistic Small-Signal Stability Considering Integration of Renewable-Energy Resources Applied Sciences cumulant method NaS firefly algorithm stochastic probability density function Gram–Charlier expansion power-system stability |
author_facet |
Samundra Gurung Sumate Naetiladdanon Anawach Sangswang |
author_sort |
Samundra Gurung |
title |
Coordination of Power-System Stabilizers and Battery Energy-Storage System Controllers to Improve Probabilistic Small-Signal Stability Considering Integration of Renewable-Energy Resources |
title_short |
Coordination of Power-System Stabilizers and Battery Energy-Storage System Controllers to Improve Probabilistic Small-Signal Stability Considering Integration of Renewable-Energy Resources |
title_full |
Coordination of Power-System Stabilizers and Battery Energy-Storage System Controllers to Improve Probabilistic Small-Signal Stability Considering Integration of Renewable-Energy Resources |
title_fullStr |
Coordination of Power-System Stabilizers and Battery Energy-Storage System Controllers to Improve Probabilistic Small-Signal Stability Considering Integration of Renewable-Energy Resources |
title_full_unstemmed |
Coordination of Power-System Stabilizers and Battery Energy-Storage System Controllers to Improve Probabilistic Small-Signal Stability Considering Integration of Renewable-Energy Resources |
title_sort |
coordination of power-system stabilizers and battery energy-storage system controllers to improve probabilistic small-signal stability considering integration of renewable-energy resources |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2019-03-01 |
description |
This paper proposes a probabilistic method to obtain optimized parameter values for different power-system controllers, such as power-system stabilizers (PSSs) and battery energy-storage systems (BESSs) to improve probabilistic small-signal stability (PSSS) considering stochastic output power due to wind- and solar-power integration. The proposed tuning method is based on a combination of an analytical method that assesses the small-signal-stability margin, and an optimization technique that utilizes this statistical information to optimally tune power-system controllers. The optimization problem is solved using a metaheuristic technique known as the firefly algorithm. Power-system stabilizers, as well as sodium–sulfur (NaS)-based BESS controllers with power-oscillation dampers (termed as BESS controllers) are modeled in detail for this purpose in DIGSILENT. The results show that the sole use of PSSs and BESS controllers is insufficient to improve dynamic stability under fluctuating input power due to the integration of renewable-energy resources. However, the proposed strategy of using BESS and PSS controllers in a coordinated manner is highly successful in enhancing PSSS under renewable-energy-resource integration and under different critical conditions. |
topic |
cumulant method NaS firefly algorithm stochastic probability density function Gram–Charlier expansion power-system stability |
url |
http://www.mdpi.com/2076-3417/9/6/1109 |
work_keys_str_mv |
AT samundragurung coordinationofpowersystemstabilizersandbatteryenergystoragesystemcontrollerstoimproveprobabilisticsmallsignalstabilityconsideringintegrationofrenewableenergyresources AT sumatenaetiladdanon coordinationofpowersystemstabilizersandbatteryenergystoragesystemcontrollerstoimproveprobabilisticsmallsignalstabilityconsideringintegrationofrenewableenergyresources AT anawachsangswang coordinationofpowersystemstabilizersandbatteryenergystoragesystemcontrollerstoimproveprobabilisticsmallsignalstabilityconsideringintegrationofrenewableenergyresources |
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