A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance

Omar Makram Kamel; Ahmed A.Zaki Diab; Ton Duc Do; Mahmoud A. Mossa

doi:10.1109/ACCESS.2020.2976828

A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance

Omar Makram Kamel, Ahmed A.Zaki Diab, Ton Duc Do, Mahmoud A. Mossa

Research output: Contribution to journal › Article › peer-review

43 Citations (Scopus)

Abstract

Integrating wind power plants (WPPs) into power systems are increasing dramatically now a day. However, the dynamic performance of power systems will be affected by the large penetration level of such renewable sources of energy. From this context power system operators and transmission system operators have put regulation rules to keep pushing wind power plants to safeguard limits that keep power system more stable and reliable. One of these rules is providing a low voltage ride through (LVRT) for wind farms without disconnecting it from the power system. The current paper implements the STATCOM as a LVRT for a 9 MW wind farm connected to the grid through transmission system of 120 kV. For enhancing the dynamic performance of STATCOM, two types of optimization methodologies: ant colony (ACO) and particle swarm optimization (PSO), are proposed to fine tune the coefficients of PI controllers to optimally manage the STATCOM dynamics.

Original language	English
Article number	9016268
Pages (from-to)	41566-41587
Number of pages	22
Journal	IEEE Access
Volume	8
DOIs	https://doi.org/10.1109/ACCESS.2020.2976828
Publication status	Published - Jan 1 2020

Keywords

ACO
DFIG
Fuzzy controller
HPA
PI
PSO
STATCOM
THD
VSC
WT

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ACCESS.2020.2976828

Cite this

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title = "A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance",

abstract = "Integrating wind power plants (WPPs) into power systems are increasing dramatically now a day. However, the dynamic performance of power systems will be affected by the large penetration level of such renewable sources of energy. From this context power system operators and transmission system operators have put regulation rules to keep pushing wind power plants to safeguard limits that keep power system more stable and reliable. One of these rules is providing a low voltage ride through (LVRT) for wind farms without disconnecting it from the power system. The current paper implements the STATCOM as a LVRT for a 9 MW wind farm connected to the grid through transmission system of 120 kV. For enhancing the dynamic performance of STATCOM, two types of optimization methodologies: ant colony (ACO) and particle swarm optimization (PSO), are proposed to fine tune the coefficients of PI controllers to optimally manage the STATCOM dynamics.",

keywords = "ACO, DFIG, Fuzzy controller, HPA, PI, PSO, STATCOM, THD, VSC, WT",

author = "Kamel, {Omar Makram} and Diab, {Ahmed A.Zaki} and Do, {Ton Duc} and Mossa, {Mahmoud A.}",

note = "Funding Information: This work was supported by the Nazarbayev University via the ORAU grant {\textquoteleft}{\textquoteleft}Fault-Tolerant Direct-Torque Control System Design with High-Order Observers for Interior Permanent Magnet Synchronous Motors in Electric Vehicle Applications{\textquoteright}{\textquoteright}, Grant No. SST2017030. Publisher Copyright: {\textcopyright} 2013 IEEE.",

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AU - Mossa, Mahmoud A.

N1 - Funding Information: This work was supported by the Nazarbayev University via the ORAU grant ‘‘Fault-Tolerant Direct-Torque Control System Design with High-Order Observers for Interior Permanent Magnet Synchronous Motors in Electric Vehicle Applications’’, Grant No. SST2017030. Publisher Copyright: © 2013 IEEE.

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N2 - Integrating wind power plants (WPPs) into power systems are increasing dramatically now a day. However, the dynamic performance of power systems will be affected by the large penetration level of such renewable sources of energy. From this context power system operators and transmission system operators have put regulation rules to keep pushing wind power plants to safeguard limits that keep power system more stable and reliable. One of these rules is providing a low voltage ride through (LVRT) for wind farms without disconnecting it from the power system. The current paper implements the STATCOM as a LVRT for a 9 MW wind farm connected to the grid through transmission system of 120 kV. For enhancing the dynamic performance of STATCOM, two types of optimization methodologies: ant colony (ACO) and particle swarm optimization (PSO), are proposed to fine tune the coefficients of PI controllers to optimally manage the STATCOM dynamics.

AB - Integrating wind power plants (WPPs) into power systems are increasing dramatically now a day. However, the dynamic performance of power systems will be affected by the large penetration level of such renewable sources of energy. From this context power system operators and transmission system operators have put regulation rules to keep pushing wind power plants to safeguard limits that keep power system more stable and reliable. One of these rules is providing a low voltage ride through (LVRT) for wind farms without disconnecting it from the power system. The current paper implements the STATCOM as a LVRT for a 9 MW wind farm connected to the grid through transmission system of 120 kV. For enhancing the dynamic performance of STATCOM, two types of optimization methodologies: ant colony (ACO) and particle swarm optimization (PSO), are proposed to fine tune the coefficients of PI controllers to optimally manage the STATCOM dynamics.

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A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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