Integration of smart grid with renewable energy for energy demand management: Puducherry case study

Bhalshankar, Surekha S.; Thorat, C.S.

doi:10.1109/scopes.2016.7955498

Cited by 20 publications

(10 citation statements)

References 3 publications

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“…In addition to the soft computing and optimization based DSM, there are some other approaches, and this very section summarizes those works in the literature. Two of the major features of a smart grid are the integration of renewable energies [155] and storage resources and increased customer participation. For integration, [156] designed and tested an embedded system in which a microcontroller switches between the various power sources.…”

Section: Miscellaneousmentioning

confidence: 99%

A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment

et al. 2021

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The ever increasing demand for electricity and the rapid increase in the number of automatic electrical appliances have posed a critical energy management challenge for both utilities and consumers. Substantial work has been reported on the Home Energy Management System (HEMS) but to the best of our knowledge, there is no single review highlighting all recent and past developments on Demand Side Management (DSM) and HEMS altogether. The purpose of each study is to raise user comfort, load scheduling, energy minimization, or economic dispatch problem. Researchers have proposed different soft computing and optimization techniques to address the challenge, but still it seems to be a pressing issue. This paper presents a comprehensive review of research on DSM strategies to identify the challenging perspectives for future study. We have described DSM strategies, their deployment and communication technologies. The application of soft computing techniques such as Fuzzy Logic (FL), Artificial Neural Network (ANN), and Evolutionary Computation (EC) is discussed to deal with energy consumption minimization and scheduling problems. Different optimization-based DSM approaches are also reviewed. We have also reviewed the practical aspects of DSM implementation for smart energy management.

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Section: Miscellaneousmentioning

confidence: 99%

A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment

et al. 2021

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“…From the point of view of interaction with the electric grid and according to the properties explained for the smart grid and traditional grid, in few words it could be said that traditional grid is a rigid system and in contrast smart grid is a flexible system (9) ; this is because of the level of interaction participants of the electricity market can have in relation with the electric grid and the way they can shape many aspects of the electric market with the help of the new technology employed in smart grids.…”

Section: Figure 1 Hierarchical Energy Resourcesmentioning

confidence: 99%

Review of Electricity Markets for Smart Nano-Grids

Robalino

Torres

2019

inycomp

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Este artícul o se enfoca en revisar los mode los de mercados eléctricos y las característic as de las nano redes inteligentes, realizando un estudio de los aspectos principales, estructura e integración. Investigaciones previas son discutidas e ideas fundamentales son desarrolladas y explicadas, y finalmente variables y restricciones son expuestas para modelar un mercado eléctrico incluyendo las consideraciones para nano redes inteligentes

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“…Home energy storage systems offer an effective solution to the unpredictable nature of solar and wind power to fulfill a continuous and stable energy need for critical loads in case of a grid outage. Thus, this storage system not only meets energy demand but also helps the grid operate reliably and economically [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

A Case Study of Load Scheduling For Home Energy Management with Integrated Renewable Energy

SARIKAYA¹,

PARTAL²

2022

int. j. eng. mgmt. res.

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Smart grids are very comprehensive systems where each sub-unit from generation to consumption should be considered separately. Home energy management systems and demand-side load management applications are also among the most important issues of smart grid systems. In this study, a smart home energy management model was developed in this concept, and energy management solutions were presented through an exemplary model. For this purpose, a home energy management algorithm was developed and simulated in the MATLAB Simulink environment by taking an apartment in Esenler, Istanbul as a reference. The smart home model discussed in this simulation study can generate its own electricity with renewable energy sources, store excess electrical energy in battery groups and also sell the surplus to the grid. This home model also enables end-users to control peak loads and schedule home appliances, especially during peak hours, following a demand-response program to consume energy more efficiently. Then, in order to see the electricity consumption results, electricity bill calculations were made according to both single and triple tariff pricing. The benefits of this model to the consumer and the grid were investigated, and also its effects on efficiency were examined. The results are given comparatively and the consumer’s saving is depicted in figures.

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Integration of smart grid with renewable energy for energy demand management: Puducherry case study

Cited by 20 publications

References 3 publications

A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment

A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment

Review of Electricity Markets for Smart Nano-Grids

A Case Study of Load Scheduling For Home Energy Management with Integrated Renewable Energy

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