The path of the smart grid

Farhangi, Hassan

doi:10.1109/mpe.2009.934876

Cited by 2,578 publications

(1,292 citation statements)

References 2 publications

Supporting

Mentioning

1,252

Contrasting

Unclassified

Order By: Relevance

“…The ageing power grid system lacks the required technology and flexibility to integrate distributed generation elements. Advanced control and information and communication technologies (ICT) are hence required in the power grid to include such elements, creating the Smart Grid (SG) [1]. Adding renewable energy resources opens up new business opportunities, such as peer-to-peer (P2P) energy trading.…”

Section: Introductionmentioning

confidence: 99%

Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators

Haapola¹,

Ali²,

Kalalas³

et al. 2018

2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

View full text Add to dashboard Cite

Abstract-Selection of the most appropriate communications technology for a smart grid (SG) application is far from trivial. We propose such a feasibility assessment starting from identification of key performance indicators (KPIs) required for peer-to-peer (P2P) energy trading and grid control operations from a communications perspective. A set of cross-disciplinary KPIs, both quantitative and qualitative, are considered from communications, power, business, actor involvement, financial, and demand side management categories. They serve as a general baseline for use cases, as there have been few previous works attempting to capture the essential features of P2P SG operations. The KPIs are briefly identified along with their relations to P2P energy trading and grid control. A straightforward comparison of the quantitative and qualitative KPIs' impact on technology selection is not feasible. This paper addresses the comparison with: 1) a prioritization of the KPIs using the analytic hierarchy process; 2) a comparison of technology solutions evaluated in our previous works against the KPIs' requirements; and 3) a total feasibility evaluation of the solutions against selected KPIs. The prioritization shows latency, reliability, security, scalability, robustness, costs of information and communication technologies (ICT) devices, and costs of ICT deployment are the most important KPIs in enabling P2P energy trading and grid control. Further, the technology feasibility assessment enables identification of the most suitable candidates for an SG application.

show abstract

Section: Introductionmentioning

confidence: 99%

Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators

Haapola¹,

Ali²,

Kalalas³

et al. 2018

2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

View full text Add to dashboard Cite

show abstract

“…We therefore use an event handler for the topic measurements, used by all modules eventually interested in such events and to which events will be published to. 6 new CreateDataPointRequestHandler ( ) ) ; 7 r e q H a n d l e r s . put ( new MeasurementEventHandler ( ) ) ; 13 r e g i s t e r H a n d l e r ( " s t o r a g e " , r e q H a n d l e r s ) ; 14 r e g i s t e r H a n d l e r ( " measurements " , evHandlers ) ;…”

Section: Listingmentioning

confidence: 99%

“…This also applies for energy systems and especially for electric energy systems. Given the ongoing Internet of Things (IoT) evolution, each and every power grid component can evolve from a former passively or manually operated device into a communicating and interacting element [6,10,23]. IoT-enabled power grid devices have already reached the substation and distribution grid level (e.g., smart meters, smart breakers, electric vehicles, smart storage systems) and allow for an active distribution grid operation with the goal of optimizing the power system to guarantee cost-effective and CO 2 -neutral operation.…”

Section: Introductionmentioning

confidence: 99%

Provisioning, deployment, and operation of smart grid applications on substation level

et al. 2016

View full text Add to dashboard Cite

The transition of classical power distribution grids towards actively operated smart grids locates new functionality into intelligent secondary substations. Increased computational power and newly attained communication infrastructure in thousands of secondary substations allow for the distributed realization of sophisticated functions, which were inconceivable a few years ago. These novel functions (e.g., voltage and reactive power control, distributed generation optimization or decentralized market interaction) can primarily be realized by software components operated on powerful automation devices located on secondary substation level. is crucial and has a broad set of requirements. In this paper, we present a flexible and modular software ecosystem for automation devices of substations, which is able to handle these requirements. This ecosystem contains means for high performance data exchange and unification, automatic application provisioning and configuration functions, dependency management, and others. The application of the ecosystem is demonstrated in the context of a field operation example, which has been developed within an Austrian smart grid research project.

show abstract

“…Yet, existing power grid is facing challenges related to efficiency, reliability, environmental impact, and sustainability. For instance, the low efficiency of current electric grid could lead to 8% of electric energy loss along its transmission lines, and the maximum generation capacity is in use only 5% of the time [14].…”

Section: Introductionmentioning

confidence: 99%

“…The emerging smart grid technology aspires to revolutionize traditional power grid with state-of-the-art information technologies in sensing, control, communications, data mining, and machine learning [6,14]. Worldwide, significant research and development efforts and substantial investment are being committed to the necessary infrastructure to enable intelligent control of power systems, by installing advanced metering systems and establishing data communication networks throughout the grid.…”

Section: Introductionmentioning

confidence: 99%

An Appliance-Driven Approach to Detection of Corrupted Load Curve Data

Tang

Pei

et al. 2014

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

View full text Add to dashboard Cite

Load curve data in power systems refers to users' electrical energy consumption data periodically collected with meters. It has become one of the most important assets for modern power systems. Many operational decisions are made based on the information discovered in the data. Load curve data, however, usually suffers from corruptions caused by various factors, such as data transmission errors or malfunctioning meters. To solve the problem, tremendous research efforts have been made on load curve data cleansing. Most existing approaches apply outlier detection methods from the supply side (i.e., electricity service providers), which may only have aggregated load data. In this paper, we propose to seek aid from the demand side (i.e., electricity service users). With the help of readily available knowledge on consumers' appliances, we present an appliance-driven approach to load curve data cleansing. This approach utilizes data generation rules and a Sequential Local Optimization Algorithm (SLOA) to solve the Corrupted Data Identification Problem (CDIP). We evaluate the performance of SLOA with real-world trace data and synthetic data. The results indicate that, comparing to existing load data cleansing methods, such as Bspline smoothing, our approach has an overall better performance and can effectively identify consecutive corrupted data. Experimental results also show that our method is robust in various tests.

show abstract

The path of the smart grid

Cited by 2,578 publications

References 2 publications

Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators

Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators

Provisioning, deployment, and operation of smart grid applications on substation level

An Appliance-Driven Approach to Detection of Corrupted Load Curve Data

Contact Info

Product

Resources

About