An Energy Management Platform for Smart Microgrids

Delfino, Federico; Rossi, Mansueto; Pampararo, Fabio; Barillari, Luca

doi:10.1007/978-3-662-49179-9_10

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Using a decentralized management strategy, the distributed energy sources are protected against overloading. The MPC is raised using the droop approach in order to create a coordinated operation with rapid dynamic responsiveness [22].…”

Section: Power Quality Controlmentioning

confidence: 99%

Operation and Control of Microgrids Using IoT (Internet of Things)

Voumick¹,

Deb²,

Khan³

2021

JSEA

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The current microgrid power management system is undergoing a significant and drastic overhaul. The integration of existing electrical infrastructure with an information and communication network is an inherent and significant need for microgrid classification and operation in this case. Microgrid technology's most important features: 1) Full duplex communication; 2) Advanced metering infrastructure; 3) Renewable and energy resource integration; 4) Distribution automation and complete monitoring, as well as overall power system control. A microgrid's communication infrastructure is made up of several hierarchical communication networks. Microgrid applications can frequently be found in numerous aspects of energy consumption. Because it provides a spontaneous communicational network, the Internet of Things plays a fundamental and crucial role in Microgrid infrastructure. This paper covers the deployment of a comprehensive energy management system for microgrid communication infrastructure based on the Internet of Things (IoT). This paper discusses microgrid operations and controls using the Internet of Things (IoT) architecture. Microgrids make use of IoT-enabled technologies, in conjunction with power grid equipment, which are enabling local networks to provide additional services on top of the essential supply of electricity to local networks that operate in parallel with or independently of the regional grid. Local balancing, internal blockage management, and request for support marketplace or grid operator activities are examples of auxiliary services provided by the microgrid that can add value to each end-user and other true stakeholders. Different technologies, architectures, and applications that use IoT as a key element with the main purpose of preserving and regulating innovative smart microgrids in accordance with modern optimization features and regulations are designed to update and improve efficiency, resiliency, and economics.

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Section: Power Quality Controlmentioning

confidence: 99%

Operation and Control of Microgrids Using IoT (Internet of Things)

Voumick¹,

Deb²,

Khan³

2021

JSEA

View full text Add to dashboard Cite

show abstract

“…From the table it can be concluded that the more complicated system calls for a more advanced optimization control. [22]. The basis of a scheduling problem is accurately forecasting load and source data, a comparative analysis on wind speed forecasting is discussed in [23].…”

Section: Power Quality Controlmentioning

confidence: 99%

Optimization Techniques for Operationand Control of Microgrids � Review

Ramprabhakar

2018

JGE

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Microgrid systems show great promise in integrating large numbers of distributed generation systems, based on renewable energy sources into future power systems. The characteristics of power generated by renewable energy sources is random, unregulated and highly unreliable, vowing to the stochastic nature of the sources like wind, solar etc. While integrating the locally generated power into grid sounds very attractive, there are many operational and planning concerns. Also, a major chunk of power generated is weather dependent, this makes an energy storage system and/or backup power generation system an imperative part of microgrids. A proper planning and designing is the first step towards integrated power. Optimization techniques justify cost of investment of a Microgrid by enabling economic and reliable usage of resources. This paper summarizes various optimization methodologies and criterion for optimization of Microgrids. Extensive study of published literature show that computational alternatives like evolutionary, heuristic and non-classical algorithms show better results when compared to other conventional methods. The study of multi-objective optimization problems shows superior performance by combining intelligent optimization algorithms with adaptive techniques.

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An Energy Management Platform for Smart Microgrids

Cited by 2 publications

References 9 publications

Operation and Control of Microgrids Using IoT (Internet of Things)

Operation and Control of Microgrids Using IoT (Internet of Things)

Optimization Techniques for Operationand Control of Microgrids � Review

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