EMaaS: Cloud-Based Energy Management Service for Distributed Renewable Energy Integration

Chen, Yu‐Wen; Chang, J. Morris

doi:10.1109/tsg.2015.2446980

Cited by 59 publications

(35 citation statements)

References 20 publications

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“…Meaning that reaching the peak demand periods, the utility will be able to warn its consumers to reduce their consumption or even cut power to the consumers, which their demanded energy exceeded the average amount to control the energy consumption during the peak level periods, which is called direct control approach . Unprecedented integration of distributed renewable energy resources in recent years has grown concerns that outline the energy imbalances and consequently the stability of the power grid . By reshaping the demanded power profile to match to the renewable energy production, not only these concerns are soothed, but also the motivations to the cooperation of more renewable resources are provided …”

Section: Energy Management Of Smart Gridmentioning

confidence: 99%

“…Unprecedented integration of distributed renewable energy resources in recent years has grown concerns that outline the energy imbalances and consequently the stability of the power grid . By reshaping the demanded power profile to match to the renewable energy production, not only these concerns are soothed, but also the motivations to the cooperation of more renewable resources are provided …”

Section: Energy Management Of Smart Gridmentioning

confidence: 99%

“…20 Unprecedented integration of distributed renewable energy resources in recent years has grown concerns that outline the energy imbalances and consequently the stability of the power grid. 21 By reshaping the demanded power profile to match to the renewable energy production, not only these concerns are soothed, but also the motivations to the cooperation of more renewable resources are provided. 20,21 Demand response implementation requires a two-way communication system between the electric providers and the consumers to send electricity price discounts (price based) and other related incentive/penalty payments (incentive based) to the consumers and mutually the customers to send their contributions in the load reduction to the utilities.…”

Section: Demand Side Managementmentioning

confidence: 99%

“…21 By reshaping the demanded power profile to match to the renewable energy production, not only these concerns are soothed, but also the motivations to the cooperation of more renewable resources are provided. 20,21 Demand response implementation requires a two-way communication system between the electric providers and the consumers to send electricity price discounts (price based) and other related incentive/penalty payments (incentive based) to the consumers and mutually the customers to send their contributions in the load reduction to the utilities. 22 Additionally, smart meters to inform the users their real-time consumption to behave effectively during peak power periods, which is an indirect control approach of DR, are necessary.…”

Section: Demand Side Managementmentioning

confidence: 99%

“…The applications of the cloud computing in the smart grid architecture and investigation the associated projects. 21…”

mentioning

confidence: 99%

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A survey on cloud computing in energy management of the smart grids

Allahvirdizadeh

Moghaddam

Shayanfar

2019

Int Trans Electr Energ Syst

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Summary Smart grid mitigates the environmental concerns associated with the global warming and climate shifting and reduces the dependence of the power generation on conventional fossil fuels. This is done by energy efficiency improvement and renewable energy sources exploitation at large scales in the form of centralized systems as well as small‐scale systems in the form of microgrids and nanogrids. However, smart grid technology brings new challenges to the big data management of the new power system construction. Additionally, due to the large‐scale intermittent distributed renewable resources contribution and stochastic electric vehicles integration, the current energy management systems must undergo some improvements to handle the smart grid requirements. Cloud computing, as an intermittent based on‐demand computing model, serves an emerging solution to the aforementioned challenges. As a result, this paper presents a survey study on the smart grid and state of art energy management methods and the necessitation of the cloud computing incorporation in smart grid energy management. Then, the application of the cloud computing in energy management, demand side management programs, building energy management systems, energy hubs, and power dispatching systems have been discussed and associated models are addressed.

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Section: Energy Management Of Smart Gridmentioning

confidence: 99%

Section: Energy Management Of Smart Gridmentioning

confidence: 99%