Load frequency control in power systems with high renewable energy penetration: A strategy employing PI?(1+PDF) controller, hybrid energy storage, and IPFC-FACTS
The high penetration of Renewable Energy Sources (RESs) in the modern power system poses a challenge to power system stability. This stability is affected by the stochastic, fluctuating output of RESs, which is influenced by weather conditions, and a lack of inertia resulting from reduced rotating m...
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my.uniten.dspace-361992025-03-03T15:41:33Z Load frequency control in power systems with high renewable energy penetration: A strategy employing PI?(1+PDF) controller, hybrid energy storage, and IPFC-FACTS Khan I.A. Mokhlis H. Mansor N.N. Illias H.A. Daraz A. Ramasamy A.K. Marsadek M. Afzal A.R. 58182998900 8136874200 57114786800 26633053900 57189689217 16023154400 26423183000 58850008000 Electric control equipment Electric energy storage Electric frequency control Electric impedance measurement Electric lines Electric load flow Electric power system control Electric power system interconnection Electric power transmission networks Flexible AC transmission systems Fuel cells HVDC power transmission Magnetic storage Optimization Power control Press load control Proportional control systems Renewable energy Robust control Sensitivity analysis Stochastic systems Three term control systems Two term control systems Energy storage system Hybrid energy storage systems IPFC Load-frequency control Optimization algorithms Power Renewable energy source Storage systems Superconducting Magnetic Energy Storage systems Zebra optimization algorithm Controllers The high penetration of Renewable Energy Sources (RESs) in the modern power system poses a challenge to power system stability. This stability is affected by the stochastic, fluctuating output of RESs, which is influenced by weather conditions, and a lack of inertia resulting from reduced rotating mass. To address this issue, a new controller, referred to as Proportional-Fractional Integrator Plus Proportional-Derivative with Filter, PI?(1+PDF), is designed for Load Frequency Control (LFC) with the support of a Hybrid Energy Storage System (HESS) for power systems with high-RES penetration. The HESS comprises a Superconducting Magnetic Energy Storage System (SMES) and a Vanadium Redox Flow Battery (VRFB) coupled with an Interline Power Flow Controller Flexible AC Transmission Systems (IPFC-FACTs) controller. The HESS, working in conjunction with the proposed LFC, injects virtual inertia and maintains power flow to expedite the frequency stability process. These systems are also integrated with Alternating Current (AC) and High Voltage Direct Current (HVDC) transmission lines to collectively enhance both the system's stability and the capacity of its transmission lines. To optimize the PI?(1+PDF) controller parameters, Zebra Optimization Algorithm (ZOA) is employed utilizing an Integral Time Absolute Error (ITAE) objective function. The proposed controller is tested on a four-area power system integrated with a wind turbine, photovoltaic (PV) panels, a biodiesel generator, and a hydrogen aqua electrolyzer fuel cell, representing a high penetration of RESs in modern power systems. The results are compared with those obtained using Proportional-Integral-Derivative (PID) and Fractional Order Proportional Integral Derivative (FOPID) controllers. Sensitivity analysis and robustness tests are also performed to verify the stability of the power network by changing system parameters and under randomly chosen loading conditions. The proposed PI?(1+PDF) controller tuned with ZOA outperforms PID and FOPID controllers by minimizing settling time for frequency changes by 62 %, eliminating overshoot, and reducing undershoots for frequency and tie-line power changes by 73 % and 55 %, respectively. Simulation results demonstrate that the proposed controller outperforms PID and FOPID controllers by effectively damping frequency and tie-line deviations, resulting in reduced frequency overshoots, undershoots, and shorter settling times. ? 2024 The Authors Final 2025-03-03T07:41:33Z 2025-03-03T07:41:33Z 2024 Article 10.1016/j.aej.2024.06.087 2-s2.0-85198363097 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198363097&doi=10.1016%2fj.aej.2024.06.087&partnerID=40&md5=cfb951f02edd24d1d50f1d2506e2ed10 https://irepository.uniten.edu.my/handle/123456789/36199 106 337 366 Elsevier B.V. Scopus |
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Electric control equipment Electric energy storage Electric frequency control Electric impedance measurement Electric lines Electric load flow Electric power system control Electric power system interconnection Electric power transmission networks Flexible AC transmission systems Fuel cells HVDC power transmission Magnetic storage Optimization Power control Press load control Proportional control systems Renewable energy Robust control Sensitivity analysis Stochastic systems Three term control systems Two term control systems Energy storage system Hybrid energy storage systems IPFC Load-frequency control Optimization algorithms Power Renewable energy source Storage systems Superconducting Magnetic Energy Storage systems Zebra optimization algorithm Controllers |
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Electric control equipment Electric energy storage Electric frequency control Electric impedance measurement Electric lines Electric load flow Electric power system control Electric power system interconnection Electric power transmission networks Flexible AC transmission systems Fuel cells HVDC power transmission Magnetic storage Optimization Power control Press load control Proportional control systems Renewable energy Robust control Sensitivity analysis Stochastic systems Three term control systems Two term control systems Energy storage system Hybrid energy storage systems IPFC Load-frequency control Optimization algorithms Power Renewable energy source Storage systems Superconducting Magnetic Energy Storage systems Zebra optimization algorithm Controllers Khan I.A. Mokhlis H. Mansor N.N. Illias H.A. Daraz A. Ramasamy A.K. Marsadek M. Afzal A.R. Load frequency control in power systems with high renewable energy penetration: A strategy employing PI?(1+PDF) controller, hybrid energy storage, and IPFC-FACTS |
| description |
The high penetration of Renewable Energy Sources (RESs) in the modern power system poses a challenge to power system stability. This stability is affected by the stochastic, fluctuating output of RESs, which is influenced by weather conditions, and a lack of inertia resulting from reduced rotating mass. To address this issue, a new controller, referred to as Proportional-Fractional Integrator Plus Proportional-Derivative with Filter, PI?(1+PDF), is designed for Load Frequency Control (LFC) with the support of a Hybrid Energy Storage System (HESS) for power systems with high-RES penetration. The HESS comprises a Superconducting Magnetic Energy Storage System (SMES) and a Vanadium Redox Flow Battery (VRFB) coupled with an Interline Power Flow Controller Flexible AC Transmission Systems (IPFC-FACTs) controller. The HESS, working in conjunction with the proposed LFC, injects virtual inertia and maintains power flow to expedite the frequency stability process. These systems are also integrated with Alternating Current (AC) and High Voltage Direct Current (HVDC) transmission lines to collectively enhance both the system's stability and the capacity of its transmission lines. To optimize the PI?(1+PDF) controller parameters, Zebra Optimization Algorithm (ZOA) is employed utilizing an Integral Time Absolute Error (ITAE) objective function. The proposed controller is tested on a four-area power system integrated with a wind turbine, photovoltaic (PV) panels, a biodiesel generator, and a hydrogen aqua electrolyzer fuel cell, representing a high penetration of RESs in modern power systems. The results are compared with those obtained using Proportional-Integral-Derivative (PID) and Fractional Order Proportional Integral Derivative (FOPID) controllers. Sensitivity analysis and robustness tests are also performed to verify the stability of the power network by changing system parameters and under randomly chosen loading conditions. The proposed PI?(1+PDF) controller tuned with ZOA outperforms PID and FOPID controllers by minimizing settling time for frequency changes by 62 %, eliminating overshoot, and reducing undershoots for frequency and tie-line power changes by 73 % and 55 %, respectively. Simulation results demonstrate that the proposed controller outperforms PID and FOPID controllers by effectively damping frequency and tie-line deviations, resulting in reduced frequency overshoots, undershoots, and shorter settling times. ? 2024 The Authors |
| author2 |
58182998900 |
| author_facet |
58182998900 Khan I.A. Mokhlis H. Mansor N.N. Illias H.A. Daraz A. Ramasamy A.K. Marsadek M. Afzal A.R. |
| format |
Article |
| author |
Khan I.A. Mokhlis H. Mansor N.N. Illias H.A. Daraz A. Ramasamy A.K. Marsadek M. Afzal A.R. |
| author_sort |
Khan I.A. |
| title |
Load frequency control in power systems with high renewable energy penetration: A strategy employing PI?(1+PDF) controller, hybrid energy storage, and IPFC-FACTS |
| title_short |
Load frequency control in power systems with high renewable energy penetration: A strategy employing PI?(1+PDF) controller, hybrid energy storage, and IPFC-FACTS |
| title_full |
Load frequency control in power systems with high renewable energy penetration: A strategy employing PI?(1+PDF) controller, hybrid energy storage, and IPFC-FACTS |
| title_fullStr |
Load frequency control in power systems with high renewable energy penetration: A strategy employing PI?(1+PDF) controller, hybrid energy storage, and IPFC-FACTS |
| title_full_unstemmed |
Load frequency control in power systems with high renewable energy penetration: A strategy employing PI?(1+PDF) controller, hybrid energy storage, and IPFC-FACTS |
| title_sort |
load frequency control in power systems with high renewable energy penetration: a strategy employing pi?(1+pdf) controller, hybrid energy storage, and ipfc-facts |
| publisher |
Elsevier B.V. |
| publishDate |
2025 |
| _version_ |
1825816099053109248 |
| score |
13.244109 |