TY - JOUR
T1 - Real time frequency and voltage stabilization in multi area hybrid power systems using hybrid MGOAO optimized PID and FOPID controllers
AU - Abhishek, Urla
AU - Injeti, Satish Kumar
AU - Maineni, Vijayasanthi
AU - Kumar, Polamsetty P.
AU - Nuvvula, Ramakrishna S.S.
AU - Shezan, Sk A.
AU - Khan, Baseem
AU - Rajkumar, S.
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2026/12
Y1 - 2026/12
N2 - The integrated study of automatic voltage regulation (AVR) and load frequency control (LFC) in a two-area hybrid power system is examined in this research. A new Moss Growth Optimization and Artemisinin Optimization (MGO-AO) algorithm is suggested for the best controller parameter tuning, while a traditional FOPID controller is used as the secondary controller. First, a test system with two-area non-reheat thermal turbines is used to apply the MGO-AO algorithm. The analysis of the joint LFC-AVR problem is then expanded to a combination model. In addition, a high-voltage direct current (HVDC) link is added to the system in addition to the traditional AC tie-line. A battery energy storage system (BESS) is also incorporated to reduce frequency and voltage fluctuations and enhance system stability. When compared to an AC-only network, the AC/DC hybrid transmission system dramatically improves system dynamic performance, according to comparative studies. Robustness is demonstrated for representative disturbances e.g., and step load perturbations in the two regions and a generation loss with a generation increase and for configurations with and without BESS. Comparative analysis against ARO, GWO-PSO, modified SSA, and the standalone MGO and AO shows that the proposed hybrid MGO-AO/FOPID achieves the lowest settling times and overshoots. Hardware-in-the-Loop (HIL) validation on dSPACE MicroLabBox confirms the practical implementability of the unified FOPID scheme.
AB - The integrated study of automatic voltage regulation (AVR) and load frequency control (LFC) in a two-area hybrid power system is examined in this research. A new Moss Growth Optimization and Artemisinin Optimization (MGO-AO) algorithm is suggested for the best controller parameter tuning, while a traditional FOPID controller is used as the secondary controller. First, a test system with two-area non-reheat thermal turbines is used to apply the MGO-AO algorithm. The analysis of the joint LFC-AVR problem is then expanded to a combination model. In addition, a high-voltage direct current (HVDC) link is added to the system in addition to the traditional AC tie-line. A battery energy storage system (BESS) is also incorporated to reduce frequency and voltage fluctuations and enhance system stability. When compared to an AC-only network, the AC/DC hybrid transmission system dramatically improves system dynamic performance, according to comparative studies. Robustness is demonstrated for representative disturbances e.g., and step load perturbations in the two regions and a generation loss with a generation increase and for configurations with and without BESS. Comparative analysis against ARO, GWO-PSO, modified SSA, and the standalone MGO and AO shows that the proposed hybrid MGO-AO/FOPID achieves the lowest settling times and overshoots. Hardware-in-the-Loop (HIL) validation on dSPACE MicroLabBox confirms the practical implementability of the unified FOPID scheme.
KW - Artemisinin optimization (AO)
KW - Automatic voltage regulation (AVR)
KW - Fractional order PID (FOPID)
KW - Hybrid optimization
KW - Load frequency control (LFC)
KW - Moss growth optimization (MGO)
KW - Multi-area power system
UR - https://www.scopus.com/pages/publications/105027123383
U2 - 10.1038/s41598-025-30825-5
DO - 10.1038/s41598-025-30825-5
M3 - Article
C2 - 41354736
AN - SCOPUS:105027123383
SN - 2045-2322
VL - 16
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 1247
ER -