Design and Analysis of a Sustainable LV Residential Microgrid

Priya, T M; Sanjana, V.; Gohila, B.; Lavanya, R.; Anbazhagan, A.; Veerasundaram, M.; Ramesh, L.

doi:10.1016/j.protcy.2015.10.081

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Currently, microgrid design and management is a leading research area due to the growing number of experiments with microgrid implementation in households [10,27]. Danish et al proposed a project-management process covering the whole life-cycle of the microgrid project from inception to operation [28].…”

Section: Literature Reviewmentioning

confidence: 99%

Scalable Microgrid Process Model: The Results of an Off-Grid Household Experiment

et al. 2021

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The security of national energy systems as well as the transition to a low-carbon future are two hot topics of discussion in the international political arena. Research on the stability of centralized energy systems is currently focused on distributed generation. Developing a scalable microgrid model enabling its massive adoption is one of the safest and feasible ways to solve such problem. The paper aims to fill an existing gap regarding the operation model of microgrids that is a barrier for the large-scale integration of those in the conventional grid network. In the proposed approach the authors identified key processes to be considered when operating microgrids, in the conditions shown through an experimental (simulation) campaign. A three-phase research was performed: (1) systematic literature review to explore the management models of a stand-alone microgrid design and management; (2) a household experiment; and (3) a computer simulation of energy balance for a selected household. We identified eight key processes constituting a scalable microgrid: five core processes, two supporting processes, and one management process. Subsequently, we developed a map of these processes obtaining a microgrid process model for massive adoption. The model of processes can be considered as a repeatable pattern of conduct in the creation and maintenance of microgrids, which their future owners can follow. To support our literature findings, we performed an experiment and a computer simulation of three sub-processes of the (re)design of the infrastructure process: (1) wind turbine selection, (2) photovoltaic power plant selection, and (3) energy-storage selection. Results confirm conditional stability of the analyzed microgrid and the need for cyclical simulation exercises until unconditional stability is achieved. In terms of sustainability, to keep the microgrid permanently in a positive energy balance will require the implementation of all key processes.

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Section: Literature Reviewmentioning

confidence: 99%

Scalable Microgrid Process Model: The Results of an Off-Grid Household Experiment

et al. 2021

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“…A residential microgrid model including wind-power and photovoltaic units is discussed. The design problem of residential microgrids is expressed as an optimization problem in this research which is investigated using PSCAD in order to evaluate the effect of these units and other parameters on the microgrid [14]. In other researches which have focused on the same subject, potential effect of EVs and inflexible charges are investigated [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Microgrids Operation by Considering Demand Response and Supply Programs in the Presence of IGDT-Based Reverse Risk

et al. 2022

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Concerning the advantages of smart microgrids and the importance of selecting and using technologies accustomed to optimized planning and design of typology and capacity of supplies, demand response programs, and energy-storage charges, the existing research has focused on the optimized design of microgrids using ant colony optimization algorithm. Conditions of the optimization problem are enacted on the objective function based on technical and operational limitations of supplies and microgrids, which may lead to the limitation of response space of the problem. Additionally, a methodology is proposed for modeling and analyzing a novel design to consider the uncertainty of production and demand with reverse risk in the design of residential microgrids. The proposed methodology focuses on the uncertainty of photovoltaic production and load demand by solving twodimensional multipurpose optimization problems based on information gap decision theory (IGDT). In the mentioned approach, the photovoltaic generation's uncertainty and charge are integrated into an equation to be solved as a problem. Regardless of the likelihood density function of uncertainty parameters and without preparing a firm framework, the current method integrates wind and photovoltaic production into the microgrids. The results of the mentioned method are conclusive, which makes the problems solvable.

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An Intelligent Approach to Strengthening of the Rural Electrical Power Supply Using Renewable Energy Resources

Robert

Sisodia

Gopalan

2017

IOP Conf. Ser.: Earth Environ. Sci.

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Design and Analysis of a Sustainable LV Residential Microgrid

Cited by 5 publications

References 6 publications

Scalable Microgrid Process Model: The Results of an Off-Grid Household Experiment

Scalable Microgrid Process Model: The Results of an Off-Grid Household Experiment

Microgrids Operation by Considering Demand Response and Supply Programs in the Presence of IGDT-Based Reverse Risk

An Intelligent Approach to Strengthening of the Rural Electrical Power Supply Using Renewable Energy Resources

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