A distributed real-time control algorithm for energy storage sharing

Zhu, Hailing; Ouahada, Khmaies

doi:10.1016/j.enbuild.2020.110478

Cited by 37 publications

(2 citation statements)

References 26 publications

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“…Ref. [17] focused on the real‐time market and constructed a shared‐energy storage real‐time scheduling optimization model. Ref.…”

Section: Introductionmentioning

confidence: 99%

Robust two‐level market coordinated transaction optimal model and benefit allocation strategy for a novel shared‐energy aggregator

Wang,

Yang,

Xue

et al. 2024

IET Renewable Power Gen

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Shared‐energy storage (SES) can break the energy interaction barrier between the demand side and the supply side, which is becoming an option for improving the flexibility of energy systems. This study designed a novel structure for the shared‐energy aggregator (SEA), incorporating a microgrid (MG), prosumer and SES. Then, a two‐level market transaction optimization model for SEA, considering the robust stochastic optimization method, is proposed; namely, at the day‐ahead stage, a robust stochastic operation optimization model is constructed to achieve the dispatching plan from the demand side under the objective of achieving the minimum energy consumption cost for the prosumer, and at the real‐time market stage, a robust stochastic operation optimization model from the supply side is constructed to arrange the optimal dispatching strategy under the objective of the maximum aggregator benefits of MG and SES. Finally, an industrial park micro‐grid in Qinghai Province, China, is selected as an example for analysis.

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“…Ref. [17] focused on the real‐time market and constructed a shared‐energy storage real‐time scheduling optimization model. Ref.…”

Section: Introductionmentioning

confidence: 99%

Robust two‐level market coordinated transaction optimal model and benefit allocation strategy for a novel shared‐energy aggregator

Wang,

Yang,

Xue

et al. 2024

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…Shared energy storage enables cost reduction [13], optimized resource utilization [14], and flexible energy storage [15], making it an increasingly prominent and adopted innovative business model. Currently, ownership-based classification allows shared energy storage to be categorized into four distinct types: i) private ES, in which individual consumers own their own energy storage systems and participate in energy trading to share energy resources [16], [17], ii) the interconnected ES, in which the ES units owned by different consumers are connected, allowing them to share the capacity of their respective systems [18], iii) the common ES, in which the SES unit is installed and managed collectively by all consumers, providing a centralized storage solution [19], and iv) the independent ES, where SES systems are managed by an independent operator, who oversees the operations and maintenance of the storage infrastructure [20], [21]. In this paper, we consider the SHES, which is a joint sharing of electricity and heat storage in a community and belongs to the community.…”

Section: Introductionmentioning

confidence: 99%

Chance Constrained Scheduling and Pricing for Multi-Service Battery Energy Storage

Zhong

Xie

Liu

et al. 2021

IEEE Trans. Smart Grid

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The community in the future may develop into an integrated heat-power system, which includes a high proportion of renewable energy, power generator units, heat generator units, and shared hybrid energy storage. In the integrated heat-power system with coupling heat-power generators and demands, the key challenges lie in the interaction between heat and power, the inherent uncertainty of renewable energy and consumers' demands, and the multi-timescale scheduling of heat and power. In this paper, we propose a game theoretic model of the integrated heat-power system. For the welfare-maximizing community operator, its energy dispatch strategy is under chance constraints, where the day-ahead scheduling determines the scheduled energy dispatching strategies, and the real-time dispatch considers the adjustment of generators. For utility-maximizing consumers, their demands are sensitive to the preference parameters. Taking into account the uncertainty in both renewable energy and consumer demand, we prove the existence and uniqueness of the Stackelberg game equilibrium and develop a fixed point algorithm to find the market equilibrium between the community operator and community consumers. Numerical simulations on integrated heat-power system validate the effectiveness of the proposed multi-timescale integrated heat and power model.

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Sustainable Energy Storage Devices and Device Design for Sensors and Actuators Applications THIS CHAPTER IS WITHDRAWN

Agrawal

Singh

Shalan

2023

Sustainable Energy Storage in the Scope of Circular Economy

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A distributed real-time control algorithm for energy storage sharing

Cited by 37 publications

References 26 publications

Robust two‐level market coordinated transaction optimal model and benefit allocation strategy for a novel shared‐energy aggregator

Robust two‐level market coordinated transaction optimal model and benefit allocation strategy for a novel shared‐energy aggregator

Chance Constrained Scheduling and Pricing for Multi-Service Battery Energy Storage

Sustainable Energy Storage Devices and Device Design for Sensors and Actuators Applications THIS CHAPTER IS WITHDRAWN

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