2020
DOI: 10.1109/access.2020.2976828
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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 … Show more

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Cited by 45 publications
(38 citation statements)
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“…A new improved artificial bee colony (IABC) algorithm is developed in Reference 119 to find the optimal parameters of PI controllers for PCC voltage outer‐loop control of STATCOMs. Kamel et al 120 discussed a hybrid optimization technique based on ant‐colony optimization and PSO. This heuristic‐based approach for PI‐STATCOM shows satisfactory performance for grid code compliance of the WT undergoing balanced and unbalanced faults.…”
Section: Control Of Statcoms In Wind/pv Integrated Power Systemsmentioning
confidence: 99%
“…A new improved artificial bee colony (IABC) algorithm is developed in Reference 119 to find the optimal parameters of PI controllers for PCC voltage outer‐loop control of STATCOMs. Kamel et al 120 discussed a hybrid optimization technique based on ant‐colony optimization and PSO. This heuristic‐based approach for PI‐STATCOM shows satisfactory performance for grid code compliance of the WT undergoing balanced and unbalanced faults.…”
Section: Control Of Statcoms In Wind/pv Integrated Power Systemsmentioning
confidence: 99%
“…This challenge paves the way for modern optimization methods to tune the PI controller parameters for reaching systems optimal operating performance. The use of PI controllers for improving the connection of STATCOM to the grid was presented in [26][27][28]. Genetic algorithm (GA), presented in [29], is considered a benchmark for optimal tuning of PI controller gains.…”
Section: Introductionmentioning
confidence: 99%
“…Reference [16] uses genetic algorithm to determine the parameters of PI controller in the research of static var compensator and automatic voltage regulator control system, so that the designed controller has strong robustness. [17] proposed an ant colony algorithm optimization method in order to improve the dynamic performance of STATCOM. The ant colony algorithm finetunes the coefficients of the PI controller to realize the optimal dynamic management of STATCOM.…”
Section: Introductionmentioning
confidence: 99%