OpenTUMFlex: A flexibility quantification and pricing mechanism for prosumer participation in local flexibility markets

Nalini, Babu Kumaran; You, Zhengjie; Zadé, Michel; Tzscheutschler, Peter; Wagner, Ulrich

doi:10.1016/j.ijepes.2022.108382

Cited by 4 publications

(4 citation statements)

References 26 publications

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“…The electricity flexibility potential of price-based and incentive-based DR programs are calculated in [24], based on their technical flexibility characteristics. In [25], the flexibility potential of various flexible generation resources is evaluated based on their operational mechanism, which are further priced to participate in local flexibility markets. In [26], the DR flexibility potential within the multi-energy system is evaluated from five dimensions and graded into four levels.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

“…A generic simulation-based method is adopted in [27] in order to quantify the DR flexibility potential of zero-energy buildings. However, the existing DR flexibility potential studies [19][20][21][22][23][24][25][26][27] are simply from the aspects of the inherent operational mechanism or its external characteristics, which ignores the fluctuations in the real-time surrounding supply-demand environment. The DR potential of diverse flexible multi-energy resources cannot fully be utilized practically.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

“…Quantification Pricing [5,6] Day-ahead [4,9] Day-ahead [10,13] No renewable Day-ahead [11] No renewable Day-ahead [12] Day-ahead [7,8,14] Real-time [15,19] Real-time [16] Multi-time-scale [17] Multi-time-scale [20,23] No renewable Real-time Quantitative [22] No renewable Real-time Quantitative [24] No renewable Day-ahead Quantitative [25,26] Day-ahead Quantitative [27] Day-ahead Quantitative Proposed Multi-time-scale Quantitative…”

Section: References 100% Renewable Multi-energy Time Scale Flexibilit...mentioning

confidence: 99%

“…Here, the flexibility potential quantification for the flexible multi-energy resources within the prosumer aggregators is presented. Flexibility is, in general, defined as the shifting of supply-demand behavior in response to price signal or incentives [25]. For any flexible multi-energy resources, the allowable schedule is the resource flexibility, which represents the boundaries of the possible variations from the optimal operation without violating its physical constraints.…”

Section: Flexibility Potential Quantificationmentioning

confidence: 99%

See 3 more Smart Citations

Transactive Demand–Response Framework for High Renewable Penetrated Multi-Energy Prosumer Aggregators in the Context of a Smart Grid

Lou,

Zhu,

Ding

et al. 2023

Applied Sciences

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Demand–response (DR) can provide the economic flexibility required to adapt a high proportion of renewable energy in the context of a smart grid. This paper proposes a transactive DR framework to enable the multi-time-scale proactive participation of demand-side flexible multi-energy resources. In this framework, the distribution system operator distributes the real-time DR request and the high renewable penetrated multi-energy prosumer aggregators provide the ancillary services based on their adjustable potential. To facilitate such multi-time-scale prosumer–operator interactions, a flexibility potential evaluation method is developed for the quantification and pricing of prosumer flexibility. The positive and negative flexibility potential of the demand-side prosumer aggregators are defined as deviations from the optimal pre-dispatch operation, which are further quantified using the aspects of flexible time and power. Based on the introduction of a flexibility pricing mechanism to identify the economically optimal ancillary service requirements, each prosumer aggregator performs an optimal real-time DR scheduling. Case studies over several DR schemes are performed to confirm the effectiveness and superiority of the proposed method on the economy and flexibility of the system.

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Section: Background and Literature Reviewmentioning

confidence: 99%

Section: Background and Literature Reviewmentioning

confidence: 99%

Section: References 100% Renewable Multi-energy Time Scale Flexibilit...mentioning

confidence: 99%

Section: Flexibility Potential Quantificationmentioning

confidence: 99%

See 2 more Smart Citations

Transactive Demand–Response Framework for High Renewable Penetrated Multi-Energy Prosumer Aggregators in the Context of a Smart Grid

Lou,

Zhu,

Ding

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

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A decentralized optimization approach for scalable agent-based energy dispatch and congestion management

Kilthau,

Henkel,

Wagner

et al. 2025

Applied Energy

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A collaborative planning of PCCs siting and transmission network expansion for super large‐scale offshore wind clusters

Ling,

Bian,

Yang

et al. 2024

IET Generation Trans & Dist

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The integration of super large‐scale offshore wind clusters into the onshore power grid brings challenges for the flexibility of the transmission network. Therefore, this paper proposes a two‐stage collaborative planning of points of common coupling siting and transmission network expansion for super large‐scale offshore wind clusters, based on a multi‐voltage‐level stratified integration mode which enables offshore wind power to transmit to larger regions for accommodation. At first, the transmission network flexibility indexes are established. Then, a two‐stage collaborative planning model for points of common couplings siting and transmission network expansion is proposed, which comprises a collaborative planning model and an optimal power flow operation model. The proposed model reduces wind curtailment and load shedding by optimizing the annual total cost and flexibility transmission capability of the network. Finally, the effectiveness of the proposed method is verified using a modified IEEE 30‐bus system and a 65‐bus system.

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OpenTUMFlex: A flexibility quantification and pricing mechanism for prosumer participation in local flexibility markets

Cited by 4 publications

References 26 publications

Transactive Demand–Response Framework for High Renewable Penetrated Multi-Energy Prosumer Aggregators in the Context of a Smart Grid

Transactive Demand–Response Framework for High Renewable Penetrated Multi-Energy Prosumer Aggregators in the Context of a Smart Grid

A decentralized optimization approach for scalable agent-based energy dispatch and congestion management

A collaborative planning of PCCs siting and transmission network expansion for super large‐scale offshore wind clusters

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