DER and OpenNode: integration of DG in an open architecture for secondary nodes in the smart grid

Soriano, Raul; Götz, Jürgen; Lemenager, Florent; Mosshammer, Ralf; Gouveia, Pedro

doi:10.1049/cp.2012.0855

Cited by 3 publications

(3 citation statements)

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“…Researchers are trying to discover new and improved schemes for its integration. Some of these schemes were given in [155][156][157]. The uncertain and inconsistent nature of DERs can affect the reliability and stability of the power supply.…”

Section: Integration Of Dersmentioning

confidence: 99%

A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid

Ahmad

Naeem

et al. 2018

Energies

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The curtailing of consumers’ peak hours demands and filling the gap caused by the mismatch between generation and utilization in power systems is a challenging task and also a very hot topic in the current research era. Researchers of the conventional power grid in the traditional power setup are confronting difficulties to figure out the above problem. Smart grid technology can handle these issues efficiently. In the smart grid, consumer demand can be efficiently managed and handled by employing demand-side management (DSM) algorithms. In general, DSM is an important element of smart grid technology. It can shape the consumers’ electricity demand curve according to the given load curve provided by the utilities/supplier. In this survey, we focused on DSM and potential applications of DSM in the smart grid. The review in this paper focuses on the research done over the last decade, to discuss the key concepts of DSM schemes employed for consumers’ demand management. We review DSM schemes under various categories, i.e., direct load reduction, load scheduling, DSM based on various pricing schemes, DSM based on optimization types, DSM based on various solution approaches, and home energy management based DSM. A comprehensive review of DSM performance metrics, optimization objectives, and solution methodologies is’ also provided in this survey. The role of distributed renewable energy resources (DERs) in achieving the optimization objectives and performance metrics is also revealed. The unpredictable nature of DERs and their impact on DSM are also exposed. The motivation of this paper is to contribute by providing a better understanding of DSM and the usage of DERs that can satisfy consumers’ electricity demand with efficient scheduling to achieve the performance metrics and optimization objectives.

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Section: Integration Of Dersmentioning

confidence: 99%

A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid

Ahmad

Naeem

et al. 2018

Energies

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“…Also the followup project Meter-ON doesn't address this [2]. The OpenNode project proposed an architecture that combines smart metering with grid automation to enable a reliable and efficient grid operation [3]. The specified solution followed a similar target, but without the strong focus on integrating the different country-specific regulations on smart grid integration [4].…”

Section: Related Workmentioning

confidence: 99%

Communications for AnyPLACE: A smart metering platform with management and control functionalities

Henneke

Freudenmann

Kammerstetter

et al. 2016

2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)

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Recent developments under the term Smart Grid change how users consume electricity and interact with the power grid. Smart metering and energy management are developments that transform the yet passive energy consumer to a participant that is actively involved in the energy market by using variable energy tariffs or by demand-response services. But such functionality demands a platform that integrates all smart devices in the users property, connects to external services and electricity providers, and has interfaces that provide information and control to the user. AnyPLACE will develop such platform. Based on the latest legislation in the European member states, it will incorporate smart meters and create links to external service providers. Furthermore, it connects the devices in the property of the end-user in order to be able to fully monitor and control the energy consumption. This paper presents the AnyPLACE idea and the problems that are solved on the communications aspect. It provides an in-depth analysis of current European legislation in the context of smart metering and provides the requirements that need to be realized by the platform. Additionally, it proposes a strategy to create a solution that can be used in any place of Europe. The paper also incorporates the security and privacy requirements in different domains and sketches a solution and architecture to fulfill these by incorporating existing open source implementations as provided by the openHAB project

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“…This software layer is called "middleware". Middleware has been defined in many ways; its usability ranges from a bridge between a system and an operator, capable of monitoring different pieces of equipment, to a tool employed to couple the functionalities of a Secondary Substation Node with the utility systems of a grid [14]. In any case, the underlying idea is that it will hide the variety of the hardware devices used as part of the Smart Grid to ease the development of the applications handled by end users without expert knowledge of ICTs.…”

Section: Introductionmentioning

confidence: 99%

A Semantic Middleware Architecture Focused on Data and Heterogeneity Management within the Smart Grid

et al. 2014

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Abstract:There is an increasing tendency of turning the current power grid, essentially unaware of variations in electricity demand and scattered energy sources, into something capable of bringing a degree of intelligence by using tools strongly related to information and communication technologies, thus turning into the so-called Smart Grid. In fact, it could be considered that the Smart Grid is an extensive smart system that spreads throughout any area where power is required, providing a significant optimization in energy generation, storage and consumption. However, the information that must be treated to accomplish these tasks is challenging both in terms of complexity (semantic features, distributed systems, suitable hardware) and quantity (consumption data, generation data, forecasting functionalities, service reporting), since the different energy beneficiaries are prone to be heterogeneous, as the nature of their own activities is. This paper presents a proposal on how to deal with these issues by using a semantic middleware architecture that integrates different components focused on specific tasks, and how it is used to handle information at every level and satisfy end user requests.

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DER and OpenNode: integration of DG in an open architecture for secondary nodes in the smart grid

Cited by 3 publications

References 0 publications

A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid

A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid

Communications for AnyPLACE: A smart metering platform with management and control functionalities

A Semantic Middleware Architecture Focused on Data and Heterogeneity Management within the Smart Grid

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