Design of an Optimal PI Controller for Time-Delayed Two-Area LFC-VID System
Özet
Growing deployment of renewable energy sources (RES) may lead to oscillations in the system frequency caused by reduced inertia, while communication networks generate time delays that might jeopardize system dynamic performance and induce additional frequency fluctuations. This paper presents the optimization of Proportional Integral (PI) controller gains in a time-delayed two-area load frequency control (LFC) system with virtual inertia and damping (VID). Optimization techniques such as Crow Search Algorithm (CSA), Particle Swarm Optimization (PSO), Vortex Search Algorithm (VSA), and Sine-Cosine Algorithm (SCA) are used to optimize the PI controller gains to obtain best frequency performance of the system. In all algorithms, the integral square error (ISE) objective function is employed during the optimization process. Results are confirmed via time-domain simulations in Matlab/Simulink. © 2023 IEEE.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Hasen, Suud Ademnur | |
| dc.contributor.author | Aydin, Omer | |
| dc.contributor.author | Ayasun, Saffet | |
| dc.date.accessioned | 2026-10-18T20:27:05.603481958Z | |
| dc.date.available | 2026-10-18T20:27:05.603481958Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Growing deployment of renewable energy sources (RES) may lead to oscillations in the system frequency caused by reduced inertia, while communication networks generate time delays that might jeopardize system dynamic performance and induce additional frequency fluctuations. This paper presents the optimization of Proportional Integral (PI) controller gains in a time-delayed two-area load frequency control (LFC) system with virtual inertia and damping (VID). Optimization techniques such as Crow Search Algorithm (CSA), Particle Swarm Optimization (PSO), Vortex Search Algorithm (VSA), and Sine-Cosine Algorithm (SCA) are used to optimize the PI controller gains to obtain best frequency performance of the system. In all algorithms, the integral square error (ISE) objective function is employed during the optimization process. Results are confirmed via time-domain simulations in Matlab/Simulink. © 2023 IEEE. | |
| dc.identifier.doi | 10.1109/gpecom58364.2023.10175680 | |
| dc.identifier.endpage | 293 | |
| dc.identifier.isbn | 979-835030198-4 | |
| dc.identifier.issn | 2832-7667 | |
| dc.identifier.scopus | 2-s2.0-85166485404 | |
| dc.identifier.startpage | 288 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/12154 | |
| dc.identifier.wos | WOS:001043011400049 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | Proceedings - 2023 IEEE 5th Global Power, Energy and Communication Conference, GPECOM 2023 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Load frequency control | |
| dc.subject | optimization | |
| dc.subject | time delay | |
| dc.subject | virtual inertia and damping | |
| dc.subject | Controllers | |
| dc.subject | Damping | |
| dc.subject | Electric control equipment | |
| dc.subject | Electric frequency control | |
| dc.subject | Learning algorithms | |
| dc.subject | MATLAB | |
| dc.subject | Particle swarm optimization (PSO) | |
| dc.subject | Press load control | |
| dc.subject | Proportional control systems | |
| dc.subject | Renewable energy resources | |
| dc.subject | Three term control systems | |
| dc.subject | Time domain analysis | |
| dc.subject | Timing circuits | |
| dc.subject | Two term control systems | |
| dc.subject | Controller gain | |
| dc.subject | Damping system | |
| dc.subject | Load-frequency control | |
| dc.subject | Optimisations | |
| dc.subject | Proportional integral controllers | |
| dc.subject | Renewable energy source | |
| dc.subject | Search Algorithms | |
| dc.subject | Time delayed | |
| dc.subject | Time-delays | |
| dc.title | Design of an Optimal PI Controller for Time-Delayed Two-Area LFC-VID System | |
| dc.type | Conference Object | |
| dspace.entity.type | Publication | |
| rdl.citation.scopus | 3 | |
| rdl.citation.wos | 2 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Conference Proceedings Citation Index - Science (CPCI-S) |
