Scalability of Smart Grid Protocols: Protocols and Their Simulative Evaluation for Massively Distributed DERs

Bergmann, J.; Glomb, Christian; Götz, Jürgen; Heuer, Jörg; Kuntschke, Richard; Winter, Martin

doi:10.1109/smartgrid.2010.5622032

Cited by 32 publications

(10 citation statements)

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“…The coupled simulator [12] is an example of such simulator joining the power system and the communication network into the integrated tool. The functionalities of this simulator include the monitoring and control of distributed energy resources in the virtual power plant context.…”

Section: A Description Of Simulation Toolsmentioning

confidence: 99%

Simulating smart grid using a two-layer multiagent framework

Ferreira

Leitão

Vrba

2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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The integration of ICT technologies will contribute to meet the objectives of smart grids by applying intelligent strategies to implement their automation functions. The use of the real electrical power energy infrastructure is hardly to be managed. The use of simulation constitutes an alternative to model and test in a simple way these complex power electrical grids, improving the system's reliability, resilience and stability. However, power simulators don't reflect the unpredictable behaviours caused by the collaborative interference of intelligent and cognitive systems, being required an easy and transparent platform to interconnect the intelligent control with the power emulator platforms. This paper introduces a two-layer framework integrating multi-agent-based control systems with power simulator tools, allowing to create a virtual environment to test and simulate the different control strategies and helping the deployment of the future smart grid concept. An instantiation of this framework is deeply analysed for the use of GridLab-D as power simulation tool.

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Section: A Description Of Simulation Toolsmentioning

confidence: 99%

Simulating smart grid using a two-layer multiagent framework

Ferreira

Leitão

Vrba

2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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“…Also because of their low production rate DER are not able to participate directly at the energy markets. A possible solution is the grouping of DER to larger entities, the so called Virtual Power Plants (VPP) [7], [8].…”

Section: B Energy Marketsmentioning

confidence: 99%

Multi-Agent-based Distributed Optimization for Demand-Side-Management Applications

Dethlefs¹,

Preisler²,

Renz³

2014

Annals of Computer Science and Information Systems

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Abstract-Dynamic and volatile grid conditions caused by the growing amount of renewable energy producers require the operation of large-scale distributed Demand-Side Management (DSM) applications. This is one of the tasks of the aggregator role in smart grid operation according to the Smart Grid Architecture Model (SGAM). For the optimization of distributed demandside loads under such conditions, Multi-Agent Systems (MAS) have been shown to provide an appropriate paradigm to model, simulate and deploy automated operating components.In this paper, we address an engineering problem that is still a matter of concern, namely the construction of efficient distributed optimization algorithms in conjunction with a generic software architecture. For this purpose, a distributed Multi-Agent architecture is presented with a generic consumer model and an energy exchange market as well as further roles and components. Ant Colony System Optimization is shown to effectively optimize consumers in a nature-inspired, self-organizing way.The applicability of the proposed approach will be demonstrated in a use-case study where a group of heterogenous consumers optimize their runtimes in order to map their demand to the energy generation of a wind power plant in a self-organized fashion.

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“…Different control interfaces and behaviors of the DERs, for example weather dependent production, are also problematic, so centralized control systems may reach their communication and coordination limit soon [3]. One possibility to handle the rising complexity is to organize the DERs as VPPs to create larger market players as described in [4]. To achieve this, DERs will need an ICT-infrastructure to form VPPs out of many DERs [5].…”

Section: State Of Researchmentioning

confidence: 99%

A distributed registry for service-based energy management systems

Dethlefs¹,

Renz²

2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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The current development in the energy sector leads towards decentralized and distributed power generation. The coordination of the small-and medium-scaled distributed energy resources (DER) as well as further energy services will be a major challenge in smart grids. Many operation concepts like the Virtual Power Plant or microgrid operation will contribute to solve these serious problems for grid stability. Open energy management platforms have been established to enable marketbased aggregation of services provided by DER for these operation concepts. In order to make the DERs available to all Energy Management Systems in the grid an open, loosely coupled, crossplatform Registry is needed. In this paper we will outline the need of a loosely coupled Distributed Registry as a core component for future Energy Management Systems and propose an idea for a reference architecture for Distributed Registries to find and use DER related services within the smart grid.

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Scalability of Smart Grid Protocols: Protocols and Their Simulative Evaluation for Massively Distributed DERs

Cited by 32 publications

References 1 publication

Simulating smart grid using a two-layer multiagent framework

Simulating smart grid using a two-layer multiagent framework

Multi-Agent-based Distributed Optimization for Demand-Side-Management Applications

A distributed registry for service-based energy management systems

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