Virtual power plant architecture using OpenADR 2.0b for dynamic charging of automated guided vehicles

Kolenc, Marko; Ihle, Norman; Gutschi, Christoph; Nemček, Peter; Breitkreuz, Thomas; Gödderz, Karlheinz; Suljanović, Nermin; Zajc, Matej

doi:10.1016/j.ijepes.2018.07.032

Cited by 31 publications

(12 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, the aFRR activation message is now sent only once from the cloud level to the fog level where the VPPs are being created and only then distributed to all newly identified prosumers for their activation. Figure 13 presents the way in which the messages are being exchanged in our case, also following considerations provided in reference [44] for TCP/IP communication with energy resources.…”

Section: Evaluation Resultsmentioning

confidence: 99%

A Fog Computing enabled Virtual Power Plant Model for Delivery of Frequency Restoration Reserve Services

Pop

Antal

Cioara

et al. 2019

Sensors

View full text Add to dashboard Cite

Nowadays, centralized energy grid systems are transitioning towards more decentralized systems driven by the need for efficient local integration of new deployed small scale renewable energy sources. The high limits for accessing the energy markets and also for the delivery of ancillary services act as a barrier for small scale prosumers participation forcing the implementation of new cooperative business models at the local level. This paper is proposing a fog computing infrastructure for the local management of energy systems and the creation of coalitions of prosumers able to provide ancillary services to the grid. It features an edge devices layer for energy monitoring of individual prosumers, a fog layer providing Information and Communication Technologies (ICT) techniques for managing local energy systems by implementing cooperative models, and a cloud layer where the service specific technical requirements are defined. On top, a model has been defined allowing the dynamical construction of coalitions of prosumers as Virtual Power Plants at the fog layer for the provisioning of frequency restoration reserve services while considering both the prosumers’ local constraints and the service ones as well as the constituents’ profit maximization. Simulation results show our solution effectiveness in selecting the optimal coalition of prosumers to reliably deliver the service meeting the technical constraints while featuring a low time and computation overhead being feasible to be run closer to the edge.

show abstract

Section: Evaluation Resultsmentioning

confidence: 99%

A Fog Computing enabled Virtual Power Plant Model for Delivery of Frequency Restoration Reserve Services

Pop

Antal

Cioara

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…In [11], the structure and operation of a VPP in the power system are comprehensively reviewed from the inside to the outside. Kolenc et al [12] study how to reliably operate the VPP composed of distributed generation from the perspective of communication. In [13], a method of optimising vehicle charging mode in the VPP environment is proposed, which considers vehicle aggregate storage availability and vehicle redistribution.…”

Section: Nomenclaturementioning

confidence: 99%

Static–dynamic hybrid sequential VPP network analysis

Yue

Zhang

2020

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

“…We believe that the implementation of the proposed DR scheme is technically feasible using elements that already exist in the market, such as smart metering infrastructures, Time of use tariffs (which are currently offered by some UK energy suppliers), smart devices with communication capabilities along with a small networked computer in each household which will take the role of DR controller. There is, for example, a standardised communications data model for automated DR known as OpenADR [11], as well as commercial software and hardware components for industrial DR applications that use it. Such hardware components already include an automated DR controller that sits at the industrial customer's premises.…”

Section: Introductionmentioning

confidence: 99%

Demand Response Model Development for Smart Households Using Time of Use Tariffs and Optimal Control—The Isle of Wight Energy Autonomous Community Case Study

et al. 2020

View full text Add to dashboard Cite

Residential variable energy price schemes can be made more effective with the use of a demand response (DR) strategy along with smart appliances. Using DR, the electricity bill of participating customers/households can be minimised, while pursuing other aims such as demand-shifting and maximising consumption of locally generated renewable-electricity. In this article, a two-stage optimization method is used to implement a price-based implicit DR scheme. The model considers a range of novel smart devices/technologies/schemes, connected to smart-meters and a local DR-Controller. A case study with various decarbonisation scenarios is used to analyse the effects of deploying the proposed DR-scheme in households located in the west area of the Isle of Wight (Southern United Kingdom). There are approximately 15,000 households, of which 3000 are not connected to the gas-network. Using a distribution network model along with a load flow software-tool, the secondary voltages and apparent-power through transformers at the relevant substations are computed. The results show that in summer, participating households could export up to 6.4 MW of power, which is 10% of installed large-scale photovoltaics (PV) capacity on the island. Average carbon dioxide equivalent (CO2e) reductions of 7.1 ktons/annum and a reduction in combined energy/transport fuel-bills of 60%/annum could be achieved by participating households.

show abstract

Virtual power plant architecture using OpenADR 2.0b for dynamic charging of automated guided vehicles

Cited by 31 publications

References 31 publications

A Fog Computing enabled Virtual Power Plant Model for Delivery of Frequency Restoration Reserve Services

A Fog Computing enabled Virtual Power Plant Model for Delivery of Frequency Restoration Reserve Services

Static–dynamic hybrid sequential VPP network analysis

Demand Response Model Development for Smart Households Using Time of Use Tariffs and Optimal Control—The Isle of Wight Energy Autonomous Community Case Study

Contact Info

Product

Resources

About