Robust Hierarchical Control Design for the Power Sharing in Hybrid Shipboard Microgrids

Hybrid microgrid optimization, integration, and control are becoming increasingly important. Renewable energy source integrations are being used more often in shipping ports, as well as on short-distance cruises and ferries. Several seaports presently lack cold ironing services, which are shore-based power stations that provide electricity to ships from the main utility grids. Furthermore, diesel engines and diesel generator-based shipboards must be continuously running and on-line when docking to provide additional loads of ships due to the absence of cold-ironing services at many ports. In this research, we analytically presented the robustness of our proposed hierarchical control design for the hybrid shipboard Microgrid system containing multiple DGs and renewable energy resource (RES) integrations. The performance comparison of the conventional proportional integral (PI) vs. Sliding Mode Controller (SMC)-based control design is validated with simulation tests under different static and dynamical load conditions for both AC and DC types of loads. We further considered multi-DGs and RES integrations into our system to validate our design’s robustness against noise and unwanted faulty load conditions. The complete system stability analysis and designing of the control law are performed. Mathematical derivations and simulation results prove the robustness of the proposed hierarchical control architecture and compare the performance characteristics of two secondary controllers designed using a MATLAB/Simulink environment.

[1]  K. Niazi,et al.  An Optimal Energy Management System (EMS) for Residential and Industrial Microgrids , 2022, Energies.

[2]  Fahad Albalawi,et al.  Experimental Investigation of an Adaptive Fuzzy-Neural Fast Terminal Synergetic Controller for Buck DC/DC Converters , 2022, Sustainability.

[3]  Ozan Erdinc,et al.  Robust Control Strategies for Microgrids: A Review , 2021, IEEE Systems Journal.

[4]  Juan C. Vasquez,et al.  Optimization-Based Power and Energy Management System in Shipboard Microgrid: A Review , 2021, IEEE Systems Journal.

[5]  M. U. Mutarraf,et al.  Electric cars, ships, and their charging infrastructure – A comprehensive review , 2022, Sustainable Energy Technologies and Assessments.

[6]  M. U. Mutarraf,et al.  Adaptive Power Management of Hierarchical Controlled Hybrid Shipboard Microgrids , 2022, IEEE Access.

[7]  Yan Xu,et al.  A Distributed Hierarchical Control Framework in Islanded Microgrids and Its Agent-Based Design for Cyber–Physical Implementations , 2021, IEEE Transactions on Industrial Electronics.

[8]  Ghulam Abbas,et al.  A Comprehensive Review on Integration Challenges, Optimization Techniques and Control Strategies of Hybrid AC/DC Microgrid , 2021, Applied Sciences.

[9]  Farag K. Abo-Elyousr,et al.  Optimal Economic and Environmental Indices for Hybrid PV/Wind-Based Battery Storage System , 2021, Journal of Electrical Engineering & Technology.

[10]  Juan C. Vasquez,et al.  A Communication-Less Multimode Control Approach for Adaptive Power Sharing in Ship-Based Seaport Microgrid , 2021, IEEE Transactions on Transportation Electrification.

[11]  Yu Wang,et al.  Multiagent Distributed Power Management of DC Shipboard Power Systems for Optimal Fuel Efficiency , 2021, IEEE Transactions on Transportation Electrification.

[12]  Ateeq Ur Rehman,et al.  Implementation of Incremental Conductance MPPT Algorithm with Integral Regulator by Using Boost Converter in Grid-Connected PV Array , 2021 .

[13]  Huiqing Wen,et al.  A Comparative Study on Photovoltaic MPPT Algorithms Under EN50530 Dynamic Test Procedure , 2021, IEEE Transactions on Power Electronics.

[14]  Saad A. Mohamed Abdelwahab,et al.  Wind speed estimation MPPT technique of DFIG-based wind turbines theoretical and experimental investigation , 2021, Electrical Engineering.

[15]  Ahmed Elnozahy,et al.  Performance Analysis of Maximum Power Point Tracking for Two Techniques with Direct Control of Photovoltaic Grid -Connected Systems , 2021, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

[16]  Il-Yop Chung,et al.  Design Framework of a Stand-Alone Microgrid Considering Power System Performance and Economic Efficiency , 2021, Energies.

[17]  Mehrdad Kazerani,et al.  A Consensus-Based Secondary Control Strategy for Hybrid AC/DC Microgrids With Experimental Validation , 2020, IEEE Transactions on Power Electronics.

[18]  M. U. Mutarraf,et al.  Offshore Wind Farm-Grid Integration: A Review on Infrastructure, Challenges, and Grid Solutions , 2021, IEEE Access.

[19]  Farag K. Abo-Elyousr,et al.  Fractional Order PI Control in Hybrid Renewable Power Generation System to Three Phase Grid Connection , 2020, International Journal on Electrical Engineering and Informatics.

[20]  Ayman Alhejji,et al.  Performance enhancement of grid-connected PV systems using adaptive reference PI controller , 2020 .

[21]  Pravat Kumar Rout,et al.  AC , DC, and hybrid control strategies for smart microgrid application: A review , 2020, International Transactions on Electrical Energy Systems.

[22]  Marco Rivera,et al.  Predictive Control for Microgrid Applications: A Review Study , 2020, Energies.

[23]  Hak-Man Kim,et al.  Consensus-Based Distributed Coordination Control of Hybrid AC/DC Microgrids , 2020, IEEE Transactions on Sustainable Energy.

[24]  Yacine Terriche,et al.  Control of Hybrid Diesel/PV/Battery/Ultra-Capacitor Systems for Future Shipboard Microgrids , 2019, Energies.

[25]  Mohammed Alsumiri,et al.  Residual Incremental Conductance Based Nonparametric MPPT Control for Solar Photovoltaic Energy Conversion System , 2019, IEEE Access.

[26]  Farzam Nejabatkhah,et al.  Power Quality Control of Smart Hybrid AC/DC Microgrids: An Overview , 2019, IEEE Access.

[27]  Tomislav Dragicevic,et al.  Robust and Fast Voltage-Source-Converter (VSC) Control for Naval Shipboard Microgrids , 2019, IEEE Transactions on Power Electronics.

[28]  Josep M. Guerrero,et al.  A coordinated control of hybrid ac/dc microgrids with PV-wind-battery under variable generation and load conditions , 2019, International Journal of Electrical Power & Energy Systems.

[29]  Josep M. Guerrero,et al.  Energy Storage Systems for Shipboard Microgrids—A Review , 2018, Energies.

[30]  Andrey V. Savkin,et al.  Multi-Agent Sliding Mode Control for State of Charge Balancing Between Battery Energy Storage Systems Distributed in a DC Microgrid , 2018, IEEE Transactions on Smart Grid.

[31]  Josep M. Guerrero,et al.  An improved power control strategy for hybrid AC-DC microgrids , 2018 .

[32]  Unal Yilmaz,et al.  PV system fuzzy logic MPPT method and PI control as a charge controller , 2018 .

[33]  Raymond A. de Callafon,et al.  Optimal switchable load sizing and scheduling for standalone renewable energy systems , 2017, 1702.00870.

[34]  Ebrahim Farjah,et al.  Power Control and Management in a Hybrid AC/DC Microgrid , 2014, IEEE Transactions on Smart Grid.

[35]  Kai Strunz,et al.  DC Microgrid for Wind and Solar Power Integration , 2014, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[36]  F. Blaabjerg,et al.  Autonomous Control of Interlinking Converter With Energy Storage in Hybrid AC–DC Microgrid , 2013, IEEE Transactions on Industry Applications.

[37]  Nand Kishor,et al.  Robust H-infinity load frequency control in hybrid distributed generation system , 2013 .

[38]  Juan C. Vasquez,et al.  Hierarchical Control of Droop-Controlled AC and DC Microgrids—A General Approach Toward Standardization , 2009, IEEE Transactions on Industrial Electronics.

[39]  D. Kolokotsa,et al.  Design optimization of desalination systems power-supplied by PV and W/G energy sources. , 2010 .

[40]  Wei Zhou,et al.  Current status of research on optimum sizing of stand-alone hybrid solar–wind power generation systems , 2010 .

[41]  Zhou Wei,et al.  Optimal design and techno-economic analysis of a hybrid solar–wind power generation system , 2009 .

[42]  Wei Zhou,et al.  A novel model for photovoltaic array performance prediction , 2007 .

[43]  M. H. Shwehdi,et al.  Probabilistic assessment of photovoltaic (PV) generation systems , 2002 .