An Overview on Analysis and Control of Micro-grid System

Hu, Jinxin; Zhang, Tieyan; Du, Sichun; Zhao, Yan

doi:10.14257/ijca.2015.8.6.08

Cited by 19 publications

(8 citation statements)

References 13 publications

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“…In theory, peer-to-peer control can improve system reliability and reduce costs, so peer-to-peer control strategy has been widely considered. 226,227 A multilayer and multiagent architecture to achieve peer-to-peer control of networked microgrids is proposed in Reference 228, which the control framework is fully distributed and contains three control layers operated in the agent of each microgrid.…”

Section: Control Modesmentioning

confidence: 99%

A brief review on microgrids: Operation, applications, modeling, and control

Shahgholian

2021

Int Trans Electr Energ Syst

155

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Microgrid is an important and necessary component of smart grid development. It is a small-scale power system with distributed energy resources. To realize the distributed generation potential, adopting a system where the associated loads and generation are considered as a subsystem or a microgrid is essential. In this article, a literature review is made on microgrid technology.The studies run on microgrid are classified in the two topics of feasibility and economic studies and control and optimization. The applications and types of microgrid are introduced first, and next, the objective of microgrid control is explained. Microgrid control is of the coordinated control and local control categories. The small signal stability and methods in improving it are discussed.The load frequency control in microgrids is assessed.

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Section: Control Modesmentioning

confidence: 99%

A brief review on microgrids: Operation, applications, modeling, and control

Shahgholian

2021

Int Trans Electr Energ Syst

155

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“…MGCC regulates the voltage in an economic manner by maintaining the balance between generation and load under various conditions of loads and supply as below: (1) where P WT , P PV , P B1 , P B2 , P DG and P MGT are the power generated from WT, PV, BAT1, BAT2, DG and MGT, respectively. S 1 = 1 and S 2 = 0 for charging mode while, S 1 = 0 and S 2 = 1 for discharging mode of BAT1 (the same for S 3 and S 4 of BAT2).…”

Section: Control Strategymentioning

confidence: 99%

“…Thanks to the advances in power electronic converters and renewable energy technology like solar PV and wind turbine (WT), microgrids (MGs) have recently grown significantly within electric power systems [1]. A typical MG is a cluster of distributed generators, energy storage devices, loads, power converters and control devices [2].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy PI controller‐based model reference adaptive control for voltage control of two connected microgrids

Keshta

Saied

Malik

et al. 2020

IET Generation Trans & Dist

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An efficient control strategy for two connected microgrids (MGs) is proposed to ensure stable and economic operation. One of the most important means of improving energy efficiency is to achieve the best response for sudden and stochastic disturbances to which the MGs are subjected. Traditionally, MGs are controlled using a linear controller, such as conventional proportional-integral (PI) controller. Fuzzy PI (FPI) controller-based model reference adaptive control that can adapt to a wide range of operating conditions for regulating the voltage is investigated and its performance is compared with the conventional linear PI controller that is not able to mitigate these disturbances efficiently. Parameters of the proposed controller are optimised using an advanced optimisation technique called global porcellio scaber algorithm (GPSA). Performance of the controllers is demonstrated on two connected microgrids for a number of scenarios such as load variations, weather fluctuations and faults. Simulation results verify that the proposed control strategy is effective and feasible under various operating conditions for this system. The results also show that the dynamic performance of the system with the model reference adaptive fuzzy PI (MRAFPI) controller is better than that with the most common controller used for this application, the conventional PI controller, for different operating conditions. wileyonlinelibrary.com/iet-gtd IET Gener. Transm. Distrib.

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“…Droop controlling method has grabbed lot of attention in recent years [42], and it provides feasibility with plug and play the sources in micro grid [43].The droop control method generally works with assumption that the transmission line is inductive nature, however the low and medium kevel lines will have resistance domination and inductance is not a considerable parameter on comparison and hence traditional method of droop control is mostly not suitable [44].Virtual impedance provided by converters has been proposed by in [45][46][47] which gives an improvement in droop control in resistance dominative low/medium voltage micro grids. [49], using PSO, Neural networks, genetic algorithms [50].…”

Section: B V and F Controlmentioning

confidence: 99%

Micro Grid Operational Issues And Challenges In Smart Grid Scenario While Heterogeneous Micro Level Generations Are Predominant

Ramalingeswar¹,

Subramanian²

2019

IJITEE

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Micro Grid operations are more dependent on and vulnerable to intermittent renewable energy sources (RES) integration along with other emerging trends like Plug in Electric Vehicles (PEVs) and advanced Energy Storage Systems (ESSs). With the advent of Smart Grid technologies, the micro grid operations are becoming more realistic and promising without much delays and inaccuracies in control actions. In this paper, we mainly focused on Micro Grid Energy Management System (EMS), synchronization, V and f control. A comprehensive review has been carried out to list out the current issues and challenges in a Smart Grid technology aided Micro Grid. The major issues in Micro Grid are mainly concerned with integration of intermittent distribution generation and while running in island mode of operation, the issues like V and f correction are more critical. Micro grid community helps in power sharing and stability cooperation among all micro grids, but at the same it should be capable of identifying when to isolate in case of any micro grid blackout. The role of power electronic converters in controlling the grid parameters while interfacing DGs are discussed through available literature

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An Overview on Analysis and Control of Micro-grid System

Abstract: Micro-grid

Cited by 19 publications

References 13 publications

A brief review on microgrids: Operation, applications, modeling, and control

A brief review on microgrids: Operation, applications, modeling, and control

Fuzzy PI controller‐based model reference adaptive control for voltage control of two connected microgrids

Micro Grid Operational Issues And Challenges In Smart Grid Scenario While Heterogeneous Micro Level Generations Are Predominant

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