Scheduling demand response and Smart Battery flexibility in a market environment: Results from the Reflexe demonstrator project

Siebert, N.; Ammari, S.; Cao, X.; Delaplagne, Tony; Mamadou, Kelli; Chouiter, M.; Buttin, Herve; Gaci, O.; Lagorse, J.; Bertone, Y.

doi:10.1109/ptc.2015.7232580

Cited by 13 publications

(12 citation statements)

References 1 publication

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“…Flexibility services are provided by an aggregator that controls DERs from six residential households [45]. In [46], the authors present the results from the Reflexe project, which demonstrated flexibility services with DERs, using eight industrial and commercial sites, as well as a battery storage system. Flexibility dispatch is optimized according to different objectives, such as maximization of expected revenue, however, it is unclear how the used baselines are created and services are not properly defined.…”

Section: Literature Review Of Local Flexibility Marketsmentioning

confidence: 99%

EcoGrid 2.0: A large-scale field trial of a local flexibility market

et al. 2020

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The number of distributed energy resources installed in distribution networks is steadily increasing. Their flexibility can be leveraged by aggregators and used in the wholesale markets. However, the utilization of this flexibility cannot neglect the operating conditions of distribution networks, and thus some form of coordination between distribution and transmission system operators must exist. The idea of operating local flexibility markets has been proposed to address these issues, but experience from real-life demonstrations is still missing. The Danish project EcoGrid 2.0 has designed, implemented and tested a local flexibility market with 800 participating customers, which runs in parallel with the wholesale markets. First, this paper presents a method to identify and quantify the value of possible flexibility services that are beneficial to the distribution system operator. Next, it provides insight from the operation of a real local flexibility market, with a large number of controllable loads. Results show that aggregators are able to reliably shape the load of residential heating units to deliver flexibility services, despite the presence of large uncertainties. Services can act as an insurance policy against rare but consequential network overloadings and outages. In these rare cases flexibility services can increase social welfare significantly. However, such services should be carefully selected to avoid adverse effects. Finally, we provide with guidelines and some general remarks on the nature and the desirable characteristics of those markets and services.

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Section: Literature Review Of Local Flexibility Marketsmentioning

confidence: 99%

EcoGrid 2.0: A large-scale field trial of a local flexibility market

et al. 2020

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“…Detailed parameter definition was set out by Alczar-Ortega et al, (2015), however the approach was limited to defining parameters and did not extend to flexibility characterisation. As part of scheduling sources for demand response, Siebert et al (2015) identified some flexibility activation constraints, but many parameters were insufficiently quantified. There is an implicit assumption that source selection and flexibility have already been assessed and quantified in both this paper and in Ottesen and Tomasgard (2015).…”

Section: Ii) Flexible System Descriptionmentioning

confidence: 99%

A standardised flexibility assessment methodology for demand response

O’Connell

Reynders²,

Seri

et al. 2019

IJBPA

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Purpose The purpose of this paper is to standardised four-step flexibility assessment methodology for evaluating the available electrical load reduction or increase a building can provide in response to a signal from an aggregator or grid operator. Design/methodology/approach The four steps in the methodology consist of Step 1: systems, loads, storage and generation identification; Step 2: flexibility characterisation; Step 3: scenario modelling; and Step 4: key performance indicator (KPI) label. Findings A detailed case study for one building, validated through on-site experiments, verified the feasibility and accuracy of the approach. Research limitations/implications The results were benchmarked against available demonstration studies but could benefit from the future development of standardised benchmarks. Practical implications The ease of implementation enables building operators to quickly and cost effectively evaluate the flexibility of their building. By clearly defining the flexibility range, the KPI label enables contract negotiation between stakeholders for demand side services. It may also be applicable as a smart readiness indicator. Social implications The novel KPI label has the capability to operationalise the concept of building flexibility to a wider spectrum of society, enabling smart grid demand response roll-out to residential and small commercial customers. Originality/value This paper fulfils an identified need for an early stage flexibility assessment which explicitly includes source selection that can be implemented in an offline manner without the need for extensive real-time data acquisition, ICT platforms or additional metre and sensor installations.

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“…The c deg denotes the total battery degradation cost, and c deg v denotes the degradation cost of battery v. Based on (3) from [21], the linear degradation cost model is reasonably adopted. After considering the specific application scenario, the degradation cost model is built in (11). In addition, the maintenance cost represented in (12) is proportional to the maximum power the batteries can provide.…”

Section: Constraints: Revenues and Costsmentioning

confidence: 99%

“…The reflexe project [10], sponsored by the French Environment and Energy Agency (ADEME), for example, examines the aggregation flexibility to provide market service to the grid, mainly using the Zebra battery. In [11], the results from this project have been illustrated with a battery management system, and flexibility scheduling algorithms have been developed.…”

Section: Introductionmentioning

confidence: 99%

Optimal operation strategy for distributed battery aggregator providing energy and ancillary services

Liu

Chen

et al. 2018

J. Mod. Power Syst. Clean Energy

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The high penetration of distributed renewable energy raises a higher concern for the safe and economic operation of the smart grid. Distributed batteries equipped in demand-side can not only contribute to the reliability and security of the grid, but also make profits by participating in the electricity market, especially when distributed batteries are combined and operated by an aggregator. Considering the well-operated mechanism of performance based regulation (PBR) in the U.S. electricity market, it becomes increasingly lucrative for batteries to participate not only in energy markets for energy arbitrage, but also in ancillary service markets to provide regulation and peakload shaving services. In this study, distributed batteries are operated and coordinated by the aggregator, which simultaneously submits offers to the energy and the ancillary service markets as an individual entity. An optimal decision model is formulated for the aggregator to determine the operation and bidding strategy for the distributed batteries by considering the characteristics of batteries, including the terms of capacity, efficiency and degradation cost. Finally, a numerical case is conducted to evaluate the benefits of the decision model.

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Scheduling demand response and Smart Battery flexibility in a market environment: Results from the Reflexe demonstrator project

Cited by 13 publications

References 1 publication

EcoGrid 2.0: A large-scale field trial of a local flexibility market

EcoGrid 2.0: A large-scale field trial of a local flexibility market

A standardised flexibility assessment methodology for demand response

Optimal operation strategy for distributed battery aggregator providing energy and ancillary services

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