Adaptive Energy Management and Control of an Autonomous PV-Wind-Diesel-BESS Hybrid Microgrid: A Case Study on Tioman Island, Malaysia

• Autonomous PV–wind–diesel–BESS microgrid for Tioman Island is proposed. • Hybrid MPPT controller ensures fast tracking and stable DC bus voltage. • EMS with Parrot Optimization reduces cost, diesel use, and power loss risk. • Outperforms GA and PSO in cost, reliability, and system performance. • Simulations confirm reliable, stable, and cost-effective microgrid operation. Isolated and remote islands often encounter significant power supply challenges due to limited grid access and fluctuating renewable energy availability; hence, they require reliable hybrid energy systems to meet the load demand. In this paper, an autonomous hybrid microgrid system is designed and configured for Tioman Island, integrating solar photovoltaic systems, wind turbines, battery energy storage systems, and diesel generators as a backup source. The proposed system features an advanced MPPT controller that integrates the perturb and observe algorithm with a cascaded closed-loop controller, ensuring improved maximum power point tracking and DC bus voltage regulation. Additionally, an adaptive energy management system is designed using a parrot optimization algorithm to effectively optimize power flow among sources while minimizing the probability of power supply loss and operational cost, and increasing renewable energy utilization. The proposed system successfully reduces the operating cost to $536.20, with a zero loss of power supply probability under normal operating conditions, outperforming GA ($724.40, 0.18%), DE ($750.90, 0.19%), ACO ($766.20, 0.21%), and PSO ($789.30, 0.24%). Under critical conditions, the proposed EMS maintains an operational cost of $567.22 and a loss of power supply probability of 5.76% compared to GA ($4,775.22, 6.32%), DE ($4668.90, 6.13%), ACO ($4760.50, 6.34%), and PSO ($4,783.90, 6.27%). Simulation results under real-time load and weather profiles ensure the reliability and stability of the system by regulating frequency and voltage within acceptable limits at the point of common coupling, as well as the DC bus voltage, while minimizing the use of diesel generators. The proposed framework sets a foundation for sustainable, cost-efficient, and reliable microgrid operation in isolated regions.

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Publication Details

Journal
Results in Engineering
Published
2025-10-15
DOI
https://doi.org/10.1016/j.rineng.2025.107731
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21
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article

Adaptive Energy Management and Control of an Autonomous PV-Wind-Diesel-BESS Hybrid Microgrid: A Case Study on Tioman Island, Malaysia

Vigna K. Ramachandaramurthy, A. Arulampalam, Agileswari K. Ramasamy, Priya Ranjan Satpathy et al.
1 citations
Results in Engineering
Microgrid Control and Optimization
1.21
article

Adaptive Energy Management and Control of an Autonomous PV-Wind-Diesel-BESS Hybrid Microgrid: A Case Study on Tioman Island, Malaysia

Vigna K. Ramachandaramurthy, A. Arulampalam, Agileswari K. Ramasamy, Priya Ranjan Satpathy, Saranya Pulenthirarasa, Sanjeevikumar Padmanaban
article en
1 citations

Abstract

• Autonomous PV–wind–diesel–BESS microgrid for Tioman Island is proposed. • Hybrid MPPT controller ensures fast tracking and stable DC bus voltage. • EMS with Parrot Optimization reduces cost, diesel use, and power loss risk. • Outperforms GA and PSO in cost, reliability, and system performance. • Simulations confirm reliable, stable, and cost-effective microgrid operation. Isolated and remote islands often encounter significant power supply challenges due to limited grid access and fluctuating renewable energy availability; hence, they require reliable hybrid energy systems to meet the load demand. In this paper, an autonomous hybrid microgrid system is designed and configured for Tioman Island, integrating solar photovoltaic systems, wind turbines, battery energy storage systems, and diesel generators as a backup source. The proposed system features an advanced MPPT controller that integrates the perturb and observe algorithm with a cascaded closed-loop controller, ensuring improved maximum power point tracking and DC bus voltage regulation. Additionally, an adaptive energy management system is designed using a parrot optimization algorithm to effectively optimize power flow among sources while minimizing the probability of power supply loss and operational cost, and increasing renewable energy utilization. The proposed system successfully reduces the operating cost to $536.20, with a zero loss of power supply probability under normal operating conditions, outperforming GA ($724.40, 0.18%), DE ($750.90, 0.19%), ACO ($766.20, 0.21%), and PSO ($789.30, 0.24%). Under critical conditions, the proposed EMS maintains an operational cost of $567.22 and a loss of power supply probability of 5.76% compared to GA ($4,775.22, 6.32%), DE ($4668.90, 6.13%), ACO ($4760.50, 6.34%), and PSO ($4,783.90, 6.27%). Simulation results under real-time load and weather profiles ensure the reliability and stability of the system by regulating frequency and voltage within acceptable limits at the point of common coupling, as well as the DC bus voltage, while minimizing the use of diesel generators. The proposed framework sets a foundation for sustainable, cost-efficient, and reliable microgrid operation in isolated regions.

Results in EngineeringVol. 28
University of Jaffna (LK), University of South-Eastern Norway (NO), Universiti Tenaga Nasional (MY)
Openalex Percentile: Top 16%
Microgrid Control and Optimization
1.21
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