A Comprehensive Review of Microgrid Control Mechanism and Impact Assessment for Hybrid Renewable Energy Integration

This paper describes a comprehensive review of microgrid control mechanism and impact assessment for hybrid grid. Building the model of sustained energy growth is one of the actions to achieve the Sustainable Development Objective (SDO) and change the global fossil fuel system. For co-operation in the development of one independent supplier of renewable energy, the microgrid is essential. Hybrid solar energy microgrid is also a solution for reducing fossil fuel consumption and providing an environmentally sustainable solution to rising rural electricity demand. The most common renewable energy options in the microgrid are solar photovoltaics, wind turbines and biomass. The environmentally sustainable and technologically innovative installation is convenient everywhere. Hybrid microgrid-based renewable energy, however, is confronted, given its intermittent and variable source efficiency, by challenges such as voltage instability, frequency instability, charge malfunction and power quality problems. The paper thus offers a critical overview of the micro grid growth, economic analysis and control strategy.

[1]  Seyed Ali Arefifar,et al.  Energy Management in Power Distribution Systems: Review, Classification, Limitations and Challenges , 2019, IEEE Access.

[2]  Mehrdad Ehsani,et al.  Integration of Renewable Energy Sources by Load Shifting and Utilizing Value Storage , 2019, IEEE Transactions on Smart Grid.

[3]  Il-Yop Chung,et al.  Optimal design and financial feasibility of a university campus microgrid considering renewable energy incentives , 2018, Applied Energy.

[4]  Akshay Kumar Saha,et al.  Impact of Incorporating Disturbance Prediction on the Performance of Energy Management Systems in Micro-Grid , 2020, IEEE Access.

[5]  Haibo He,et al.  Distributed Cooperative Control of Multiple Hybrid Energy Storage Systems in a DC Microgrid Using Consensus Protocol , 2020, IEEE Transactions on Industrial Electronics.

[6]  Tomonobu Senjyu,et al.  Analysis of Techno-Economic-Environmental Suitability of an Isolated Microgrid System Located in a Remote Island of Bangladesh , 2020, Sustainability.

[7]  Peng Li,et al.  Nonlinear coordinated control of parallel bidirectional power converters in an AC/DC hybrid microgrid , 2020 .

[8]  R. Hemmati,et al.  Sustainable planning of hybrid microgrid towards minimizing environmental pollution, operational cost and frequency fluctuations , 2018, Journal of Cleaner Production.

[9]  Payam Teimourzadeh Baboli,et al.  Toward Power Quality Management in Hybrid AC–DC Microgrid Using LTC-L Utility Interactive Inverter: Load Voltage–Grid Current Tradeoff , 2017, IEEE Transactions on Smart Grid.

[10]  Guojie Li,et al.  State Estimation for Hybrid AC/DC Power Grids Based on Pseudo Measurement Modelling of Converters , 2020, 2020 IEEE Power & Energy Society General Meeting (PESGM).

[11]  Zhengming Zhao,et al.  MPPT techniques for photovoltaic applications , 2013 .

[12]  Ishita Ray,et al.  Review of Impedance-Based Analysis Methods Applied to Grid-Forming Inverters in Inverter-Dominated Grids , 2021, Energies.

[13]  R. C. Desai,et al.  Modern power system analysis , 1982, Proceedings of the IEEE.

[14]  Md. Ibrahim Adham,et al.  Optimal Planning of Nuclear-Renewable Micro-Hybrid Energy System by Particle Swarm Optimization , 2020, IEEE Access.

[15]  Nitin Singh,et al.  Design, operation and control of a vast DC microgrid for integration of renewable energy sources , 2020 .

[16]  Jingjing Huang,et al.  Implementation of Bidirectional Resonant DC Transformer in Hybrid AC/DC Micro-Grid , 2019, IEEE Transactions on Smart Grid.

[17]  Reliability Evaluation Modeling of Multi-Port Power Electronic Transformer Based on Cascaded H-Bridge , 2020, 2020 IEEE Sustainable Power and Energy Conference (iSPEC).

[18]  Majid Jamil,et al.  Bi-directional Power Control Mechanism for a Microgrid Hybrid Energy System with Power Quality Enhancement Capabilities , 2017 .

[19]  Jung-Su Kim,et al.  MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing , 2020, IEEE Access.

[20]  Oscar Mayora-Ibarra,et al.  Detecting dressing failures using temporal–relational visual grammars , 2018, J. Ambient Intell. Humaniz. Comput..

[21]  Mostafa F. Shaaban,et al.  New real‐time demand‐side management approach for energy management systems , 2019, IET Smart Grid.

[22]  Xiang Hu,et al.  Modeling and stability analysis of hybrid AC/DC microgrid based on a hybrid model , 2017, 2017 Chinese Automation Congress (CAC).

[23]  Yuehong Su,et al.  Coordinated control strategy of DC microgrid with hybrid energy storage system to smooth power output fluctuation , 2020 .

[24]  Tole Sutikno,et al.  Modelling and Design of PID controller for voltage control of AC Hybrid Micro-grid , 2019 .

[25]  Ashok Sankar,et al.  Performance Evaluation of a Control Strategy Developed for a Hybrid Energy System Integrated in DC-AC Microgrids , 2014 .

[26]  P. Sanjeevikumar,et al.  Reliability enhancement of electrical power system including impacts of renewable energy sources: a comprehensive review , 2020, IET Generation, Transmission & Distribution.

[27]  Fei Liang,et al.  Design/test of a hybrid energy storage system for primary frequency control using a dynamic droop method in an isolated microgrid power system , 2017 .

[28]  Md. Emran Hossain,et al.  Toward Energy Efficiency Aware Renewable Energy Management in Green Cellular Networks With Joint Coordination , 2019, IEEE Access.

[29]  Huaguang Zhang,et al.  Stability-Oriented Droop Coefficients Region Identification for Inverters Within Weak Grid: An Impedance-Based Approach , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[30]  Seoung Uk Jeon,et al.  Practical Power Management of PV/ESS Integrated System , 2020, IEEE Access.

[31]  Sukumar Mishra,et al.  Storage Free Smart Energy Management for Frequency Control in a Diesel-PV-Fuel Cell-Based Hybrid AC Microgrid , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[32]  S. Kumaravel,et al.  Techno-economic feasibility study of biomass based hybrid renewable energy system for microgrid application , 2012, 2012 International Conference on Green Technologies (ICGT).

[33]  Ashwani Kumar,et al.  Optimal Energy Management and Techno-economic Analysis in Microgrid with Hybrid Renewable Energy Sources , 2020, Journal of Modern Power Systems and Clean Energy.

[34]  M Durairasan,et al.  An efficient control strategy for optimal power flow management from a renewable energy source to a generalized three-phase microgrid system: A hybrid squirrel search algorithm with whale optimization algorithm approach , 2020, Trans. Inst. Meas. Control.

[35]  Mohammad Shahidehpour,et al.  Small-Signal Modeling and Stability Analysis of Hybrid AC/DC Microgrids , 2019, IEEE Transactions on Smart Grid.

[36]  Ahmed A. Zaki Diab,et al.  Application of Different Optimization Algorithms for Optimal Sizing of PV/Wind/Diesel/Battery Storage Stand-Alone Hybrid Microgrid , 2019, IEEE Access.

[37]  S. Sreejith,et al.  Topologies of a DC–DC Converter for Micro-grid Application and Implementation of Parallel Quadratic Boost Converter , 2018 .

[38]  Ramesh C. Bansal,et al.  Multi-Objective Optimization of Hybrid Renewable Energy System Using Reformed Electric System Cascade Analysis for Islanding and Grid Connected Modes of Operation , 2018, IEEE Access.

[39]  Petr Musilek,et al.  Reinforcement Learning-Based Distributed BESS Management for Mitigating Overvoltage Issues in Systems With High PV Penetration , 2020, IEEE Transactions on Smart Grid.

[40]  Muhammad Khalid,et al.  Optimal sizing of a wind/solar/battery hybrid grid-connected microgrid system , 2018 .

[41]  Xianglong Liu,et al.  Optimal planning of AC-DC hybrid transmission and distributed energy resource system: Review and prospects , 2019, CSEE Journal of Power and Energy Systems.

[42]  Leijiao Ge,et al.  Operation of Stand-Alone Microgrids Considering the Load Following of Biomass Power Plants and the Power Curtailment Control Optimization of Wind Turbines , 2019, IEEE Access.

[43]  Nadeem Javaid,et al.  Heuristic Algorithm Based Optimal Power Flow Model Incorporating Stochastic Renewable Energy Sources , 2020, IEEE Access.

[44]  H. Mokhlis,et al.  IoT-based Hybrid Renewable Energy Harvesting System from Water Flow , 2020, 2020 IEEE International Conference on Power and Energy (PECon).

[45]  Narottam Das,et al.  Reliability Assessment of Wind-Solar PV Integrated Distribution System Using Electrical Loss Minimization Technique , 2020, Energies.

[46]  Adikanda Parida,et al.  Stand-alone AC-DC microgrid-based wind-solar hybrid generation scheme with autonomous energy exchange topologies suitable for remote rural area power supply , 2018 .

[47]  Muhammad Khalid,et al.  An Innovative Hybrid Wind-Solar and Battery-Supercapacitor Microgrid System—Development and Optimization , 2017, IEEE Access.

[48]  Qiuye Sun,et al.  Reduced-Order Aggregate Model for Large-Scale Converters With Inhomogeneous Initial Conditions in DC Microgrids , 2021, IEEE Transactions on Energy Conversion.

[49]  Saad Mekhilef,et al.  Comparative study of different fuel cell technologies , 2012 .

[50]  S. Mekhilef,et al.  A review on biomass as a fuel for boilers , 2011 .

[51]  Paulina Jaramillo,et al.  An investment risk assessment of microgrid utilities for rural electrification using the stochastic techno-economic microgrid model: A case study in Rwanda , 2018 .

[52]  SUNAINA SINGH,et al.  Seamless Control of Solar PV Grid Interfaced System With Islanding Operation , 2019, IEEE Power and Energy Technology Systems Journal.

[53]  Abhisek Ukil,et al.  DC grid voltage regulation using new HESS control strategy , 2017, 2017 IEEE Power & Energy Society General Meeting.

[54]  Eklas Hossain,et al.  Performance Enhancement of PV System Configurations Under Partial Shading Conditions Using MS Method , 2021, IEEE Access.

[55]  Y. Parag,et al.  Microgrids: A review of technologies, key drivers, and outstanding issues , 2018, Renewable and Sustainable Energy Reviews.

[56]  Thanikanti Sudhakar Babu,et al.  A Comprehensive Review of Hybrid Energy Storage Systems: Converter Topologies, Control Strategies and Future Prospects , 2020, IEEE Access.

[57]  R. Rayudu,et al.  Techno-economic analysis of hybrid renewable energy system for rural electrification in India , 2017, 2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia).

[58]  Yasunori Mitani,et al.  Renewable power systems dynamic security using a new coordination of frequency control strategy based on virtual synchronous generator and digital frequency protection , 2019, International Journal of Electrical Power & Energy Systems.

[59]  Mahmoud-Reza Haghifam,et al.  Multi-Agent-Based Controller for Voltage Enhancement in AC/DC Hybrid Microgrid Using Energy Storages , 2017 .

[60]  Sung Ho Kim,et al.  Robust Frequency and Voltage Stability Control Strategy for Standalone AC/DC Hybrid Microgrid , 2017 .

[61]  R. Sitharthan,et al.  Design and Modeling of Hybrid DC/AC Microgrid With Manifold Renewable Energy Sources , 2021, IEEE Canadian Journal of Electrical and Computer Engineering.

[62]  Eklas Hossain,et al.  Power Enhancement With Grid Stabilization of Renewable Energy-Based Generation System Using UPQC-FLC-EVA Technique , 2020, IEEE Access.

[63]  Josep M. Guerrero,et al.  Model Predictive Control of Bidirectional DC–DC Converters and AC/DC Interlinking Converters—A New Control Method for PV-Wind-Battery Microgrids , 2019, IEEE Transactions on Sustainable Energy.

[64]  J. Reilly.  From microgrids to aggregators of distributed energy resources. The microgrid controller and distributed energy management systems , 2019, The Electricity Journal.

[65]  Yasser Abdel-Rady I. Mohamed,et al.  An Online Energy Management System for a Grid-Connected Hybrid Energy Source , 2018, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[66]  Qiuye Sun,et al.  SoC-Based Droop Coefficients Stability Region Analysis of the Battery for Stand-Alone Supply Systems With Constant Power Loads , 2021, IEEE Transactions on Power Electronics.

[67]  G. S. Sheshadri,et al.  A hybrid bat–dragonfly algorithm for optimizing power flow control in a grid-connected wind–solar system , 2019, Wind Engineering.