Microgrid Research Topics

Microgrid research is one of the best topics for an electrical distribution system, which stores, handles and generates electricity. This is now widely used in many applications and it utilizes more distributed energy sources. Following are the descriptions that are related to our proposed microgrid technology.

  1. Define Microgrid

At the beginning of the research we first see the definition of microgrid. It is a confined and independent electrical distribution system which can store, manage and produce electricity over a particular region, like residential neighborhood, community, industrial facility or campus. It works separately or in combination with the increased use of grid, permitting it to separately function and disjoint through power breaks or urgency and connect again whenever required. It generally utilizes different causes of local energy productions like diesel generators, natural gas generators or energy storage systems like batteries, solar panels and wind turbines. These materials generate and store electricity for use within the microgrid.

  1. What is Microgrid?

After the definition we look over the detailed explanation for Microgrid technology. It generally utilizes single or a lot of dispersed energy sources like wind turbines, fuel cells, combined heat and power, gas or diesel generators and wind turbines to generate its power. Moreover many newer microgrids include energy storage, commonly from batteries. Few of them also contain electric vehicle charging stations.

  1. Where Microgrid used?

Next to the detailed explanation we debate where to incorporate this technology. It assists to utilize more zero-emission energy sources, enhance grid flexibility to excessive weather, and generate utilization of unwanted heat. They also assist groups to obtain estimation of a most consistent supply of sustainable electricity.

  1. Why Microgrid technology proposed? , previous technology issues

The microgrid clusters efficiently combine power distribution along microgrids and the major grid, enhancing the efficiency, stability and consistency of the distribution network at the consumption area. Several previous technology issues are complex in security, Resynchronization to utilize the grid is complex, power quality, voltage and frequency must be at adequate restrictions and battery tanks to save space and preservation.

  1. Algorithms / Protocols

Here we provide some algorithms or methods that are used for this proposed technology. The methods that we utilize are Mesh topology, Lightweight Support Vector Machine (LSVM), Three Phase Lock Loop Method (TPLL), Enhanced Multi-Layer Perceptron and Coati Optimization Algorithm (COA).

  1. Comparative study / Analysis

We propose microgrid research on the basis of electrical distribution systems and here we compare the methods for our proposed research.

  • The microgrid cluster ability is explained by scalability and it adds or rejects the new microgrids that are performed by employing the MESH topology.
  • By using a COA method we achieve optimized energy management and it also makes sure efficient power and stability management along with the islanding mode.
  • On the basis of TPLL and EMLP methods, we make sure consistency and stability over the microgrid clusters to achieve adaptive distributed microgrid security and control policy and this also decreases the internal errors and temporary present problems.
  • We use LSVM based islanding techniques that provide strong and steady operational performance and to confirm the protection of microgrid clusters among unintentional islanding.
  1. Simulation results / Parameters

In this research we propose a microgrid technology and it is compared with several performance metrics or parameters with the existing technology to obtain the best outcome. The metrics that we compared are Fault Identification Rate (%), Power Available at PCC (Watts), RMS line Current (A), Reactive Power (Var), RMS line Voltage (v) and Voltage as PCC (Volt) with Time (Sec).

  1. Dataset LINKS / Important URL

For our proposed research we have offered the following links on the basis of microgrids. The links are useful when we want to know the information or details about our proposed research.

  1. Microgrid Applications

Now we see the application to be used for this research in microgrid technology. The applications that use microgrid clusters are Remote and off-grid areas, Rural Electrification, Community resilience, Grid Support and Ancillary services, Campuses and institutions, Industrial Communities, Electrical Vehicle Charging, Smart cities and data centers.

  1. Topology for Microgrid

Let’s see the topology to be used for this proposed microgrid technology. The topologies that it used are as follows: Distributed Decentralized Protection and Control Strategy, Intellectual Techniques, Mesh topology- based microgrid clusters and Adaptive intelligent.

  1. Environment in Microgrid

Environment that required for this research for microgrid clustering that comprises different features and components that impact the execution, design and the operation of microgrid clusters.

  1. Simulation Tools

Software requirements to be required for this research are mentioned below. The tool that was needed to simulate the work is OMNET++ 4.6 and SUMO 0.19.0. The processor that is used is Intel (R) coreTW i5- 45905.  Moreover the research is executed by using the MATLAB for simulation. We use the operating system to do this work is Windows 10 pro system.

  1. Results

Microgrid is a technology that is an electrical distribution system to produce, save and handle electricity. In this research we compared our metrics or parameters with the existing technologies to obtain the best outcome. And then this can be implemented by using the MATLAB for simulation.

Microgrid Research Ideas:

Below we offer are the research topics on the basis of microgrid technology. These topics are helpful to us, when we overview or go through the concepts of information related to our proposed research.

  1. Cooperative Control of DC Microgrid Cluster with Different Voltage Levels
  2. Privacy-Preserving Optimal Schedule for Microgrid Cluster Based on Information Masking Method
  3. Microgrid Cluster Division and Optimal Allocation Method Considering Cooperative Increment
  4. Interaction Characteristics Modeling of Microgrid Clusters Based on Federated Learning
  5. Stochastic Game based Microgrid Clusters Energy Management Modeling and Strategy
  6. Hierarchical Distributed Coordinated Control of DC Microgrid Cluster with Hybrid Energy Storages
  7. Bi-Level Energy Management Strategy for Microgrid Cluster Considering Multi-Agent Game with Incomplete Information and Source-Load Uncertainty
  8. Coordinated Voltage Regulation of Microgrid Clusters Based on Deep Reinforcement Learning Approach
  9. Event-Triggered Predictive Function Control of DC Microgrid Clusters
  10. A NARX Neural Network-Based Predictive Control for Power Management of DC Microgrid Clusters
  11. Transient Performance Enhancement of VSG-based Multiple Microgrid Clusters by Coordinating Active Power Regulator and Fault Current Limiter
  12. Robust Optimization for Energy Transactions in Microgrid Cluster (MC) Considering Electric Vehicle (EV)
  13. Containment-Based Distributed Cooperative Control of Microgrid Clusters: Accurately Constraining the Bus States of Loads and Microgrids
  14. Lyapunov-Based Resilient Cooperative Control for DC Microgrid Clusters Against False Data Injection Cyber-Attacks
  15. Frequency Stabilization in a Microgrid Cluster Using Plug-in Electric Vehicle with Power-Frequency Droop Control Strategy
  16. Reconfigurable and Privacy-Preserving Economical Operation for Interconnected DC Microgrid Clusters
  17. Combined Control Strategy for Proportional Current Sharing in DC Microgrid Clusters
  18. Stability Analysis of DC Microgrid Clusters Based on Step-by-Step System Matrix Building Algorithm
  19. Performance Analysis of Different ANN-based Weight Updating Algorithms in Forecasting Short-Term Load Demands in Cluster Microgrids
  20. Coordinated Energy Dispatch and Flexibility Support for Microgrid Cluster Using Rule-based Stackelberg Gaming Approach
  21. A Fully Distributed Privacy-Preserving Energy Management System for Networked Microgrid Cluster Based on Homomorphic Encryption
  22. Risk-Aware Coordination of Logistics Scheduling and Energy Management for Maritime Mobile Microgrid Clusters
  23. Cyber-Secure Global Energy Equalization in DC Microgrid Clusters Under Data Manipulation Attacks
  24. Detection and mitigation via alternative data for false data injection attacks in DC microgrid clusters
  25. Output-constrained distributed cooperative control based on dynamic event-triggered average consensus for DC microgrid clusters
  26. On Securing the Global Economical Dispatch in DC Microgrid Clusters: An Event-Driven Approach
  27. Partitioning of distribution system into resilient clustered microgrids using complex network approach
  28. A Novel Flexible Multiport Interlinking Converter for DC Microgrid Clusters
  29. Model Reduction for Grid-Forming Hybrid Renewable Energy Microgrid Clusters Based on Multi-Timescale Characterization
  30. Multi-Layered Coordinated Countermeasures for DC Microgrid Clusters Under Man in the Middle Attack
  31. Distributed reconfigurable model predictive control based load frequency control of microgrid clusters with dynamic topology
  32. MPC-based three-phase unbalanced power coordination control method for microgrid clusters
  33. An Interval-based privacy – Aware optimization framework for electricity price setting in isolated microgrid clusters
  34. Bi-level modeling and multi-energy flow calculation of main grid and microgrid cluster based on electro-thermal coupling analysis
  35. Research on power to hydrogen optimization and profit distribution of microgrid cluster considering shared hydrogen storage
  36. Full-deployed energy management system tested in a microgrid cluster
  37. A Sequential Sampling-based Particle Swarm Optimization to Control Droop Coefficients of Distributed Generation Units in Microgrid Clusters
  38. Development of Control Strategies for Operation of Cluster of Interconnected Hybrid Microgrids in Islanded Mode
  39. Multiobjective Decisions on Microgrid Interconnection Location Based on Fuzzy Clustering
  40. Risk-averse optimal participation of a DR-intensive microgrid in competitive clusters considering response fatigue
  41. Simultaneous AC/DC distribution for the sustainable operation of smart building clusters in hybrid urban microgrids
  42. Optimal resilient facade thermal photovoltaic clustering allocation for microgrid enhanced voltage profile
  43. Enhancing hybrid energy storage systems with advanced low-pass filtration and frequency decoupling for optimal power allocation and reliability of cluster of DC-microgrids
  44. Static Security Assessment for Smart Microgrids based on unstable working points clustering
  45. Optimal coordination of DOCRs in microgrid via contingency reduction mechanism and clustering algorithms considering various network topologies based on N-2 contingencies
  46. Weighted Hierarchical Consensus based Economic Dispatch Utilizing Cluster Size Estimation for Networked Microgrids
  47. Renewable Power Routing from a DC Microgrid to an Industrial Cluster
  48. Planning and Financing Strategy for Clustered Multi-Carrier Microgrids
  49. Energy Storage Capacity Configuration Method of Microgrid with Small Hydropower Based on Power Energy Characteristics
  50. Interoperability of single-controllable clusters: Aggregate response of low-voltage microgrids