Classical Secondary Control Techniques in Microgrid Systems – A Review

The effective and stable functioning of microgrids using distributed energy resources (DERs) is greatly dependent on ideal power stream management. To get the optimal power flow in microgrids, this study provides an inquiry into the use of cutting-edge optimization techniques. To fulfil load demand and consider DER requirements, system running costs must be kept to a minimum. The microgrid integrates a variety of distributed energy resources, including solar photovoltaic systems, wind turbines, and energy storage systems. The research examines several optimization strategies, such as mixed-integer programming, evolutionary algorithms, and linear programming, to decide on the best DER dispatch and scheduling. The findings give important information on how to efficiently use and manage distributed energy resources to raise the performance and resilience of microgrids.

Section: Reconciliation Of Conveyed Energy Assets In Microgridsmentioning

confidence: 99%

Optimal Power Flow Management in Microgrids using Distributed Energy Resources

Nagananda,

Gopiya Naik

2023

“…In case of DC loads the AC received is rectified and converted to the required DC voltage and then fed to the loads. The losses due to conversion by using an AC grid to power DC loads has been discussed and compared in [2] with the conclusion that the use of DC grids leads to much lower losses as compared to AC grids. To reduce the number of conversions required, adoption of DC grid to power the DC loads is being researched on.…”

Section: Introductionmentioning

confidence: 99%

Predictive analysis of Low power DC loads in Residential Buildings

Satish,

Usha

2023

There has been a constant rise in use of loads powered from direct current (DC) among the residential loads. In the traditional Alternating Current (AC) grid voltage undergoes conversion multiple times before it reaches the loads requiring DC, which leads to substantial power loss in the converters. Implementation of a DC grid in the residential buildings can reduce the losses caused due to the conversions. The paper presents a prediction model for domestic low power DC loads which can be powered from a battery. The data of usage of the load as well as the data of the parameters on which the load usage is dependent on was collected over a period of a year. This data was fed to a Random forest-based machine learning algorithm to predict the usage of the loads in future. The state of charge (SOC) of the battery used to power the loads was compared with the load prediction to decide whether the load can be powered from the available power in the battery or not. This allowed the system to decide in real time on the source to be used to power the DC loads and providing the users a choice to change the load usage time in order to prevent power from being drawn from the AC grid.

“…Leony Ortiz et al presented simulation of hybrid microgrid in grid connected mode. Sohrab Mirsaeidi presented a comprehensive review on microgrid protection issues [4]. Protection of distributed network is no longer same as that of conventional grid network as there is a change in fault level because of change in topology [5].…”

Section: Introductionmentioning

confidence: 99%

Microgrid Protection Challenges and Solution

Modi,

Usha

2023

Microgrids are embryonic as inspiring solution to the various concerns such as environmental, economic, depletion of the resources for the fuel availability and power mismatch. Microgrids are going to become one of the core components of the upcoming power system. So, it is essential to understand various issues and challenges in microgrid. Power management, constant voltage and frequency, control of various distributed generators and Protection of the microgrid are major areas of concern. Not much work has been done on the protection side of the microgrid. Detecting fault and obtaining the appropriate setting of the protective gear for unconventional topology of the microgrid is very challenging. In this work a solution has been proposed and implemented in microgrid controller (MGC) for fault detection and classification in a microgrid. Effectiveness of proposed method is tested in MATLAB /SIMULINK environment.