DC Microgrid Research Topics and Ideas

DC Microgrid Research Topics is proposed in this research where it is also referred to as DCMG. It is based on the electricity system and it is utilized to store the energy. It is widely utilized in various applications. Here we offer the details about this proposed research DC microgrid.

  1. Define DCMG

At the starting stage of the research we begin with the definition for this proposed technology DCMG. It is a power system which allocates the DC power over a small area. DCMGs will also work individually from the major power grid. DCMGs will utilize the energy storage systems such as supercapacitors, and batteries and it will use solar photovoltaic (PV) and fuel cell power.

  1. What is DCMG?

Next to the definition we look for the in-depth description for this proposed DC microgrid. It is another form of traditional alternating current (AC) microgrid, which is in the leading electrical distribution system utilized in many parts of the world. It is a distributed electricity system which utilizes the direct current (DC) power for consumption and allocation.

  1. Where DCMG used?

Then after that we discuss where to utilize this proposed technique. It is widely employed in many of the places. The DCMGs are utilized in various sectors like commercial, residential, transportation and industrial.

  1. Why DCMG technology proposed? , previous technology issues

Here we proposed the DCMG technology that is used to tackle the issues in the previous technology. The existing control method for Electric Vehicles (EV) and Distributed Energy Resources (DERs) handles difficulties in optimizing the system performance, like demanding improved policies for enhanced efficacy and reliability, limited trade-offs and dynamic impacts on power sharing. Several issues in the existing technologies are: Affect the Life time of EV, SOC maintenance effect is poor, Limited in trade-off, Dynamic Influence in Power Sharing and Operation Point become unstable.

  1. Algorithms / protocols

Our proposed DCMG approach utilizes the following methods or techniques to tackle the problems in the research. The methods that we utilized are Multi-agent system and Type-II fuzzy control with Genetic Algorithms.

  1. Comparative study / Analysis

Here we compared the various methods or techniques to our research to get the best performance when compared to any other research. The methods that we compared are

  • The ESS charging and discharging can be generated by the developed system in a distributed DCMG system.
  • Our proposed system employs compliance with ESS internal price and grid price conditions, and then the Distributed secondary controllers have the capacity of voltage reestablishment and power sharing.
  • The proposed system will operate under ESS minimum/maximum SOC condition and conversion from grid-linked mode to the isolated mode.
  • The EV unit establishes that the proposed scheme is accessible and it fulfills the plug-and-play needs.
  • To generate the charging and discharging of ESS, the recommended method uses the effectiveness of grid pricing conditions that were managed by Time of Use (ToU) pricings.
  1. Simulation results / Parameters

For this research we have to compare the various metrics or parameters to obtain that our proposed technique gives the best outcome for this research. The metrics that we compared are RMS line current (A), Power Available at PCC (Watts), RMS line voltage (v), Fault Identification Rate (%), Reactive Power (Var) and Voltage at PCC (Volt) with Time (sec) and then the Power (kW) with Time of the day, and Total Operation Cost ($\hour) with time of the day and the Absolute current magnitude (p.u.) with time of the day and the Voltage Magnitude (p.u.) with time of the day.

  1. Dataset LINKS / Important URL

In the below we suggest the link that is related to this proposed DCMG technology. This link gives the details for this DCMG technique.

  1. DCMG Applications

Now we see the application that will be used for this direct current microgrid technology. For effective power distribution in remote regions and constant energy supply in data centers the DC microgrids are utilized.

  1. Topology for DCMG

Let’s see the topology for this proposed DC microgrid system. For this microgrid system the topology describes the preparation of components like storage devices, generators and loads to optimize the reliability and energy flow.

  1. Environment for DCMG

Here we look for the environment for this microgrid technology. It plays a major role in decreasing the carbon footprint by combining the promoting energy efficacy in local environments and renewable energy sources.

  1. Simulation tools

Software requirements that to be employed for this proposed research DC microgrid are as follows. The developmental tool that is needed for this proposed research is Matlab-R2023a/Simulink and above. Then the operating system here we used for this research is Windows-10 (64-bit). These requirements are efficient to overcome the existing technology issues.

  1. Results

The DC microgrid technology is proposed to tackle several previous technology problems and that can be overcome by using some novel methods or algorithms. Then we also compare some parameters or the performance metrics with the existing techniques to identify our proposed system gives the best results when compared to others. Then the work is implemented by using the operating system Windows 10 [64-bit].

DC Microgrid Research Projects

The succeeding we offer are the research topics which are based on our proposed technology Direct current microgrid or DC microgrid or DCMG. These topics will give you some ideas or to clear the doubts related to this research.

  1. Solid-State Transformer Enabled DCMG Architecture with Distributed Energy Management
  2. Parameter Design of DCMG System Under Large Signal Stability and Static Voltage Constraints
  3. A New Adaptive POL Converter Controller Design to Improve Bus Voltage Stability for DC Microgrid Application
  4. Virtual Resistance Tradeoff Design for DCMG Grid-Forming Converters Considering Static- and Large-Signal Dynamic Constraints
  5. A Review of Stabilization Methods for DCMG with CPL, The Role of Bandwidth Limits and Droop Control
  6. Enhancing Voltage Control in HESS-Based DCMG: A Comparative Analysis of SMC and PI Controllers
  7. DC Microgrid Voltage Stability through Inertia Enhancement Using a Bidirectional DC-DC Converter
  8. Comparative Study of Coordinated Photovoltaic and Battery Control Strategies on the Battery Lifetime in Stand-Alone DC Microgrids
  9. Simplified Hybrid Control Strategy for Stand-Alone DC Microgrid with Photovoltaic System to Extend Battery Lifespan
  10. Detection of Fault Inception in a Low Voltage DC Microgrid using Current Differential Protection Method
  11. Takagi-Sugeno Multimodeling-Based Large Signal Stability Analysis of DC Microgrid Clusters
  12. Short-Circuit Fault Detection and Isolation Using Filter Capacitor Current Signature in Low-Voltage DC Microgrid Applications
  13. An Optimized Distributed Cooperative Control to Improve the Charging Performance of Battery Energy Storage in a Multiphotovoltaic Islanded DC Microgrid
  14. Resilient Control of DC Microgrids Against Cyber Attacks: A Functional Observer Based Approach
  15. Adaptive Energy Shaping Control of Buck Converter feeding CPL in DC Micro-Grid System
  16. Control Strategy for Effective Battery Utilization in a Stand-Alone DC Microgrid with Solar Energy
  17. Minimizing Energy Storage Utilization in a Stand-Alone DC Microgrid Using Photovoltaic Flexible Power Control
  18. A New Adaptive Damping Control for Load-side Converters to Mitigate Instability in DC Microgrids for Constant Power Loads
  19. Resilence Control of DC Microgrid Integrated with Multi-Nanogrids Considering Connected-Islanded States
  20. Decentralized Power Management of DC Microgrid Based on Adaptive Droop Control With Constant Voltage Regulation
  21. Stability Analysis of a Grid-connected Large-scale DC Microgrid with a Hybrid Wind/Solar Farm
  22. Cyber Physical Implementation of Improved Distributed Secondary Control of DC Microgrid
  23. Protection of Decentralized DC Microgrid System Based on Detection of DC-Bus Voltage Sensor Faults
  24. Dual Active Bridge Converter Control and Power Management of PV-Battery fed DC Microgrid for EV Battery Charging System
  25. Fault Detection and Location in Ring DC Micro-grid by Radial Basis Function Neural Network and SVM Classifier
  26. Fuzzy Logic for Energy Management in Hybrid Energy Storage Systems Integrated DC Microgrid
  27. An Optimal Power Management System Based on Load Demand and Resources Availability for PV Fed DC-Microgrid with Power-Sharing among Multiple Nanogrids
  28. Optimization and prediction of hydrogen consumption for a fuel cell stack used as backup energy source in a DC microgrid
  29. Unbalanced Voltage Suppression of Bipolar DC Microgrids with Integration of DC Zero-Carbon Buildings
  30. Optimum Sizing and Modeling of Stand-Alone DC Microgrid With Hybrid Energy Storage System for Domestic Applications: Cost of Energy, Net Present Cost, and Feasible Configurations
  31. Evaluation of an Autonomous Control Scheme for Interconnected DC Microgrids Using a Power Hardware-in-the-Loop Platform
  32. A Scheme for Resource Sharing in Distributed DC Microgrids with Minimal System Losses
  33. A Scheme for Resource Sharing in Distributed DC Microgrids with Minimal System Losses
  34. A Unified Control of Super-capacitor System Based on Bi-directional DC-DC Converter for Power Smoothing in DC Microgrid
  35. Seamless Power Management for Decentralized DC Microgrid Under Voltage Sensor Faults
  36. A transient performance improved strategy based on virtual inertia and its allocation for PV-storage DC Microgrid
  37. Hybrid Renewable and Battery Energy Sources with Electric Vehicles in Islanded DC Micro-Grid
  38. Stability Analysis of DC Microgrid Clusters Based on Step-by-Step System Matrix Building Algorithm
  39. Intelligent Fault Detection and Location Method for DC Micro-Grid by Considering Different Fault and Non-Fault Operation Modes
  40. Implementation of Composite Storage System in a PV-Integrated DC Microgrid for Active Power Sharing
  41. Distributed Finite-Time Secondary Control for DC Microgrids with Reduced Internetwork Data Transmission Dependency
  42. Hardware Design for Implementation of Energy Management in a Solar-Interfaced DC Microgrid
  43. An Adaptive Extended Kalman Filter With Passivity-Based Control for DC-DC Converter in DC Microgrids Supplying Constant Power Loads
  44. Robust Distributed Control of DC Microgrids Considering Heterogeneous Communication Delays
  45. Decentralized Adaptive Nonlinear Controller for Voltage Regulation of Output-Constrained DC Microgrids with ZIP Loads
  46. A Decentralized Nonlinear Control Strategy for a Robust Voltage Regulation in Islanded DC Microgrids with ZIP Loads
  47. Analysis and Development of a Bidirectional Three-Phase Hybrid Rectifier for DC Microgrids With Distributed Energy Resources
  48. Adaptive sliding mode control of buck converter feeding resistive and constant power load in DC microgrid
  49. Artificial intelligence based nonlinear control of hybrid DC microgrid for dynamic stability and bidirectional power flow
  50. Energy management and control for direct current microgrid with composite energy storage system using combined cuckoo search algorithm and neural network