Optimized Performance and Economic Assessment for Hybrid Island Microgrid System Considering Uncertainties

Shufian, Abu; Hoque, Md. Jawad-Al-Mursalin; Kabir, Shaharier; Mohammad, Mohammad

doi:10.1007/s40866-022-00156-9

Cited by 30 publications

(4 citation statements)

References 33 publications

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“…A novel index system is proposed that integrates economic, resilience, energy, and environmental dimensions to determine the optimal system configuration, meeting the economic, IOP Publishing doi:10.1088/1742-6596/2771/1/012036 2 sustainable, and reliable energy needs of remote island communities, and providing guidance for future island microgrid planning [3]. Additionally, the performance and economics of a hybrid island microgrid system are assessed considering uncertainty, demonstrating the feasibility of such a system in diverse environments [4]. Meanwhile, an isolated island multi-energy system incorporating electricity-gas coupling is proposed [5].…”

Section: Introductionmentioning

confidence: 99%

Stochastic optimization scheduling of wind-photovoltaic-storage-hydrogen-water system in independent island zero-carbon microgrid

Liang

2024

J. Phys.: Conf. Ser.

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A stochastic optimal scheduling strategy is being proposed for a wind-photovoltaic-storage-hydrogen-water system within a zero-carbon microgrid for independent islands. This strategy is aimed at addressing the challenge of sustainable energy resource supply prevalent in traditional islands, while also considering the demand response of seawater desalination. In order to harness the clean, low-carbon, and high-efficiency characteristics of hydrogen, an electrolytic water hydrogen production system is integrated into the power system to utilize wind power generation. The desalination equipment is regarded as a controllable load within the system. It is combined with a demand response strategy to maximize the full utilization of the desalination equipment for consuming wind power on the island. Furthermore, a two-stage stochastic optimization method is being employed to handle uncertainties related to wind and photovoltaic generation. The objective is to minimize the system’s operating cost. To solve this optimization problem, the commercial solver CPLEX is being utilized. Through comparative analysis across different scenarios, simulation results indicate that the proposed strategy effectively dissipates uncertainties in wind scenarios while concurrently reducing the overall system operation cost. This approach comprehensively considers the system’s economics, thus demonstrating its potential to efficiently promote wind power consumption.

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Section: Introductionmentioning

confidence: 99%

Stochastic optimization scheduling of wind-photovoltaic-storage-hydrogen-water system in independent island zero-carbon microgrid

Liang

2024

J. Phys.: Conf. Ser.

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“…On the other hand, most of the current developments for optimal dispatch and power management in microgrids only consider simulation testing of the proposed control systems, as in [6,21,22]. Only few works are experimentally implemented on physical microgrids, as current proposals are mainly focused on laboratory-scale grids with simulated devices [23,24], with some works emphasizing on the energy management and generation/load forecast of real-time simulated isolated grids [25], and even recent mobile-clustered hybrid energy system developments with an integrated power control as in [26]. However, minor contributions with medium-scale real microgrid systems can be found as in [17].…”

Section: Introductionmentioning

confidence: 99%

Optimal Power and Battery Storage Dispatch Architecture for Microgrids: Implementation in a Campus Microgrid

Escobar,

Betancur,

Isaac

2024

Smart Grids and Energy

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The expansion of electric microgrids has led to the incorporation of new elements and technologies into the power grids, carrying power management challenges and the need of a well-designed control architecture to provide efficient and economic access to electricity. This paper presents the development of a flexible hourly day-ahead power dispatch architecture for distributed energy resources in microgrids, with cost-based or demand-based operation, built up in a multi-class Python environment with SQLExpress and InfluxDB databases storing the dispatcher and microgrid data, and its experimental implementation using Modbus communication. The experimental power dispatch architecture is described and each operation stage is detailed, including the considered mathematical models of the energy resources, the database management, the linear-programming optimization of power dispatch, and the Modbus setpoint writing. Validation studies of the proposed control system are presented for real-time digital-simulated devices and physical resources as a real application at the Universidad Pontificia Bolivariana (UPB) campus microgrid. The simulated and physical microgrid characteristics are described and the hourly dispatch results for generation, storage and load devices are presented, standing out as a reliable power management architecture for economic commitment and load peak shaving in simulated and real microgrids. The proposed architecture demonstrates its readiness for present and future electrical system challenges, effectively incorporating meteorological variations, renewable energy sources, and power demand fluctuations into the control framework, with a strong dependence on the quality of the meteorological forecast.

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“…The economic feasibility of an independent microgrid for a carbon-neutral island in Korea was explored in [6], proposing various electric system solutions including photo-voltaics, wind energy, batteries, and fuel cells, with a comprehensive assessment. A study [7] introduced an island microgrid system considering natural uncertainties, not only assessing its performance and economic viability but also emphasizing its adaptability under varying environmental conditions and its synchronous power genera-tion capability. With the continuous evolution of energy systems, terrestrial multi-microgrid systems have become a signifi-cant area of global energy research.…”

Section: Introductionmentioning

confidence: 99%

Economic Optimization Scheduling Strategy for Offshore Fishing Raft Microgrid Clusters

Huang,

Guo,

Luo

2024

IEEE Access

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As a renewable energy solution for remote marine environments, marine raft microgrid clusters differ from terrestrial multi-microgrid systems and traditional single-island microgrids. In the absence of large-scale grid support, these marine raft microgrids must maintain the stability and economic efficiency of power supply within a collaborative multi-microgrid context. To address this, a multi-objective optimization approach for energy scheduling is proposed. This study initially constructs a microgrid cluster system model and introduces two economic objective functions. These functions consider both inter-microgrid power scheduling and the economic benefits of power procurement. By applying the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and the Constraint-based Multi-objective Evolutionary Algorithm based on Decomposition (CMOEA/D) to solve the objective functions, the results indicate that the CMOEA/D algorithm demonstrates high efficiency and accuracy in pursuing economically optimal solutions. Compared to the NSGA-II algorithm, CMOEA/D outperforms in terms of the quality of optimal solutions and iteration time, thereby enhancing the economic benefits of the microgrid cluster and validating the effectiveness of the proposed model. This research provides significant theoretical and practical guidance for energy management in remote marine environments, showcasing its profound theoretical significance and application value.

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Optimized Performance and Economic Assessment for Hybrid Island Microgrid System Considering Uncertainties

Cited by 30 publications

References 33 publications

Stochastic optimization scheduling of wind-photovoltaic-storage-hydrogen-water system in independent island zero-carbon microgrid

Stochastic optimization scheduling of wind-photovoltaic-storage-hydrogen-water system in independent island zero-carbon microgrid

Optimal Power and Battery Storage Dispatch Architecture for Microgrids: Implementation in a Campus Microgrid

Economic Optimization Scheduling Strategy for Offshore Fishing Raft Microgrid Clusters

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