DC Microgrids Control Strategy Research Topics

DCMG Research Topics is a localized electrical distribution network that primarily works on the DC voltage level. It is now being used in many of the fields and regions to improve energy efficacy. In this research we provide the details that are relevant to this proposed DCMG technique.

  1. Define DCMG

In the initial stage of the research we first see the explanation for this proposed DCMG technique. A Direct Current (DC) Microgrid (DCMG) is a localized electrical distribution network which works mainly on DC voltage levels, employing DC power sources and connected loads over DC buses for effective energy management and conversion. DCMGs provide benefits like improved compatibility with DC-powered devices, decreased transmission losses and simplified combination of renewable energy sources.

  1. What is DCMG?

Afterwards the explanation we look for the brief description for this proposed research. DCMG is a localized electrical network depending on DC voltage levels, managing DC power sources and connecting the loads through DC buses for effective energy conversion, frequently selected for decreased transmission losses and seamless combination of renewable sources.

  1. Where DCMG used?

Next to the brief explanation we discuss where to utilize this proposed DCMG technique. It is used in smart buildings, off-grid communities and data centers, improving resilience and energy efficiency while offering a seamless combination of renewable energy sources like batteries and solar panels.

  1. Why DCMG technology proposed? , previous technology issues

For this proposed DCMG technology, we tackle the limitations in traditional AC grids; containing transmission loses inherent in AC systems, inadequacies in changing DC power from renewable sources to AC for distribution, and difficulties in combining DC-powered devices. By working primarily on DC voltage levels, DCMGs minimize these problems, providing improved energy efficiency, compatibility and reliability with renewable energy sources and DC loads.

  1. Algorithms / protocols

We proposed the DCMG technology and it is proposed to face the problems in the existing technologies. The methods or techniques that we used for this research are Heuristic algorithm, Type-II fuzzy control with Genetic Algorithms and Multi-agent system.

  1. Comparative study / Analysis

In this research we proposed the DCMG technology, for this we compared several methods or techniques to overcome the problems in the existing technologies:

  • Dynamic adaptation of voltage regulation and interaction overhead employing Type-II fuzzy control with Genetic Algorithms. Using real-time pricing data for effective energy management over fuzzy logic.
  • Creating a Coordinated Secondary Control (CSC) system a top Generalized Primary Controls (GPC). Adaptive methods to accommodate novel Distributed Energy Resources (DERs) and grid variations.
  • For stable operation we use Lithium-ion battery technology and heuristic algorithms. Examination of “hierarchical distributed coordinated control for battery energy storage systems”.
  • Improvement of adaptive control policies for economic distribution and efficient State of Charge (SoC) maintenance. Use of “improved SOC – based droop control based on multi-agent” systems to prevent overuse.
  1. Simulation results / Parameters

Now our proposed DCMG technology is contrasted with different performance metrics or parameters to get the appropriate findings for this research. The metrics that we compared are Power (kW) and Total operation cost ($\hour) with time of the day and the Time (Hours) with DC bus voltage (p.u).

  1. Dataset LINKS / Important URL

Here we propose the DCMG technique; this technique addresses some possible issues and to face that. The following are the links that are useful when we have to go through the descriptions of our proposed technique.

  1. DCMG Applications

Our proposed technique DCMG identifies applications in smart buildings, off-grid communities and data centers providing reliability, integration and energy efficiency with renewable energy sources. They also take advantage of electric vehicle charging stations, military operations and telecommunications framework, offering reliable power in critical or remote environments.

  1. Topology for DCMG

Let’s see the topology that to be used for DCMGs will adopt different topologies like hybrid, mesh or radial configurations, on the basis of factors like reliability requirements, renewable energy sources integration and load distribution. Moreover the hierarchical frameworks with decentralized or centralized control will be utilized for fault tolerance and effective energy management over the microgrid technology.

  1. Environment for DCMG

DCMG succeeds in different environments like industrial sites, off-grid communities and urban areas, managing energy preserving systems and renewable energy sources for improved energy efficiency and reliability. They are adjustable to different settings, making sure seamless combination with latest technologies and framework while meeting involved power demands.

  1. Simulation tools

The DCMG utilizes the following software requirements for this proposed research. This environment is developed by using a developmental tool like MATLAB R2023b. Then the environment is implemented by using the operating system windows 10.

  1. Results

DCMG technology is proposed in this research and it has some existing technology issues that are overcome by using novel methods or techniques. Then the research is compared with some of the performance metrics or parameters with existing technologies and then it validates that our proposed research gives the best outcome. Then the research is implemented by using the operating system Windows 10.

DC Microgrids Control Strategy Research Topics

The succeeding are the research topics that are relevant to our proposed DCMG technique based applications, techniques or methods and some other details of our proposed research, these are useful when we overview the concepts.

  1. Parameter Design of DCMG System Under Large Signal Stability and Static Voltage Constraints
  2. Solid-State Transformer Enabled DCMG Architecture with Distributed Energy Management
  3. Virtual Resistance Tradeoff Design for DCMG Grid-Forming Converters Considering Static- and Large-Signal Dynamic Constraints
  4. A Review of Stabilization Methods for DCMG with CPL, The Role of Bandwidth Limits and Droop Control
  5. Enhancing Voltage Control in HESS-Based DCMG: A Comparative Analysis of SMC and PI Controllers
  6. Detection of Fault Inception in a Low Voltage DC Microgrid using Current Differential Protection Method
  7. A New Adaptive POL Converter Controller Design to Improve Bus Voltage Stability for DC Microgrid Application
  8. DC Microgrid Voltage Stability through Inertia Enhancement Using a Bidirectional DC-DC Converter
  9. Comparative Study of Coordinated Photovoltaic and Battery Control Strategies on the Battery Lifetime in Stand-Alone DC Microgrids
  10. Simplified Hybrid Control Strategy for Stand-Alone DC Microgrid with Photovoltaic System to Extend Battery Lifespan
  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. Control Strategy for Effective Battery Utilization in a Stand-Alone DC Microgrid with Solar Energy
  16. Minimizing Energy Storage Utilization in a Stand-Alone DC Microgrid Using Photovoltaic Flexible Power Control
  17. A New Adaptive Damping Control for Load-side Converters to Mitigate Instability in DC Microgrids for Constant Power Loads
  18. Resilence Control of DC Microgrid Integrated with Multi-Nanogrids Considering Connected-Islanded States
  19. Decentralized Power Management of DC Microgrid Based on Adaptive Droop Control With Constant Voltage Regulation
  20. Stability Analysis of a Grid-connected Large-scale DC Microgrid with a Hybrid Wind/Solar Farm
  21. Cyber Physical Implementation of Improved Distributed Secondary Control of DC Microgrid
  22. Protection of Decentralized DC Microgrid System Based on Detection of DC-Bus Voltage Sensor Faults
  23. Dual Active Bridge Converter Control and Power Management of PV-Battery fed DC Microgrid for EV Battery Charging System
  24. Fault Detection and Location in Ring DC Micro-grid by Radial Basis Function Neural Network and SVM Classifier
  25. Fuzzy Logic for Energy Management in Hybrid Energy Storage Systems Integrated DC Microgrid
  26. An Optimal Power Management System Based on Load Demand and Resources Availability for PV Fed DC-Microgrid with Power-Sharing among Multiple Nanogrids
  27. Optimization and prediction of hydrogen consumption for a fuel cell stack used as backup energy source in a DC microgrid
  28. Unbalanced Voltage Suppression of Bipolar DC Microgrids with Integration of DC Zero-Carbon Buildings
  29. A Scheme for Resource Sharing in Distributed DC Microgrids with Minimal System Losses
  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. Power Management and Control Strategy for DC Microgrid in Standalone and Grid Connected Mode
  33. A Unified Control of Super-capacitor System Based on Bi-directional DC-DC Converter for Power Smoothing in DC Microgrid
  34. Seamless Power Management for Decentralized DC Microgrid Under Voltage Sensor Faults
  35. Hybrid Renewable and Battery Energy Sources with Electric Vehicles in Islanded DC Micro-Grid
  36. Stability Analysis of DC Microgrid Clusters Based on Step-by-Step System Matrix Building Algorithm
  37. Intelligent Fault Detection and Location Method for DC Micro-Grid by Considering Different Fault and Non-Fault Operation Modes
  38. A transient performance improved strategy based on virtual inertia and its allocation for PV-storage DC Microgrid
  39. Adaptive Energy Shaping Control of Buck Converter feeding CPL in DC Micro-Grid System
  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. An Adaptive Extended Kalman Filter With Passivity-Based Control for DC-DC Converter in DC Microgrids Supplying Constant Power Loads
  43. Hardware Design for Implementation of Energy Management in a Solar-Interfaced DC Microgrid
  44. Robust Distributed Control of DC Microgrids Considering Heterogeneous Communication Delays
  45. A Decentralized Nonlinear Control Strategy for a Robust Voltage Regulation in Islanded DC Microgrids with ZIP Loads
  46. Analysis and Development of a Bidirectional Three-Phase Hybrid Rectifier for DC Microgrids With Distributed Energy Resources
  47. Decentralized Adaptive Nonlinear Controller for Voltage Regulation of Output-Constrained DC Microgrids with ZIP Loads
  48. Proposed frequency decoupling-based fuzzy logic control for power allocation and state-of-charge recovery of hybrid energy storage systems adopting multi-level energy management for multi-DC-microgrids
  49. Enhancing resilience of DC microgrids with model predictive control based hybrid energy storage system
  50. Small-signal modeling and stability analysis of autonomous direct current microgrid with distributed energy storage system