A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control

Oshnoei, Soroush; Aghamohammadi, Mohammad Reza; Oshnoei, Siavash; Sahoo, Subham; Fathollahi, Arman; Khooban, Mohammad Hasan

doi:10.1016/j.apenergy.2023.121233

Cited by 31 publications

(8 citation statements)

References 31 publications

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“…An optimization procedure is conducted at each time interval while satisfying a set of system constraints. The MPC is successfully applied in the LFC problems as an effective alternative to classic controllers [18], [19], [20]. In [21], the IACs are controlled using an MPC in the LFC problem.…”

Section: B Literature Reviewmentioning

confidence: 99%

Intelligent Coordination of Traditional Power Plants and Inverters Air Conditioners Controlled With Feedback-Corrected MPC in LFC

Oshnoei,

Kheradmandi,

Khezri

et al. 2024

IEEE Trans. Circuits Syst. I

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Section: B Literature Reviewmentioning

confidence: 99%

Intelligent Coordination of Traditional Power Plants and Inverters Air Conditioners Controlled With Feedback-Corrected MPC in LFC

Oshnoei,

Kheradmandi,

Khezri

et al. 2024

IEEE Trans. Circuits Syst. I

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“…As RESs (wind energy) increase, the system's inertia continuously decreases, affecting system stability and increasing frequency deviations [8]. VI support AGC by simulating the inertia response that conventional power plants have historically given in addition to supplying clean energy [9,10].…”

Section: Introductionmentioning

confidence: 99%

Renewable sources with virtual inertia penetration in multi area interconnected AGC using a modified MPC controller

Vidyarthi,

Kumar,

Kumari

et al. 2024

Eng. Res. Express

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The challenge of controlling frequency deviation becomes more difficult as the complexity of a power plant increases. The robustness of the controller has a major impact on the stability of a complex power system (CPS). Due to the hybridization of CPS basic Automatic Generation Control (AGC) controllers (PID, FOPID, and TID), they are insufficient to give optimal performance to a plant. This requires a robust controller. So, a modified MPC controller has been proposed and evaluated by comparing it with several existing controllers, which gives optimal performance in terms of overshoot, undershoot, and settling time and improves its performance approximately 45%. This research discusses a combined AGC model and control for a three-area CPS, where each producing area consists of a thermal plant, a Diesel power plant, and a Solar Thermal Power Plant (STPP). The results of the modified MPC are superior to those of the basic controller compared to several existing controllers. An improved version of Sea-horse Optimization (SHO) has been proposed to optimize the different controller settings. The superiority of the SHO is shown by a comparison with some well-known, current meta-heuristic methods. The higher penetration levels of renewable energy sources (RESs) reduced system inertia which further deteriorate frequency response in CPS. To overcome these challenges, virtual inertia (VI) has been implemented with MPC. VI is applied to improve the performance of the AGC of the interconnected CPS along with emphasizing the nature of intermittent RESs of PV and wind energy. The thorough study findings provide compelling evidence for the effectiveness and efficiency of the recommended control strategies and also point to the possibility of applying them in actual power systems to improve stability and performance.

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“…To address these stability issues, advanced control strategies and methods should be used to improve the frequency and voltage stability of the microgrids. Two-layer multiple model predictive control method was used in [8]. A microgrid with renewable energy and ESS was evaluated for frequency performance.…”

Section: Introductionmentioning

confidence: 99%

Realization of Robust Frequency Stability in Low-Inertia Islanded Microgrids With Optimized Virtual Inertia Control

Hamanah,

Shafiullah,

Alhems

et al. 2024

IEEE Access

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A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control

Cited by 31 publications

References 31 publications

Intelligent Coordination of Traditional Power Plants and Inverters Air Conditioners Controlled With Feedback-Corrected MPC in LFC

Intelligent Coordination of Traditional Power Plants and Inverters Air Conditioners Controlled With Feedback-Corrected MPC in LFC

Renewable sources with virtual inertia penetration in multi area interconnected AGC using a modified MPC controller

Realization of Robust Frequency Stability in Low-Inertia Islanded Microgrids With Optimized Virtual Inertia Control

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