Control frameworks for transactive energy storage services in energy communities

Mignoni, Nicola; Scarabaggio, Paolo; Carli, Raffaele; Dotoli, Mariagrazia

doi:10.1016/j.conengprac.2022.105364

Cited by 29 publications

(28 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Another factor worth considering in a P2P trade of EVs is the reliability of the transactions. To this aim in [24], authors define innovative transactive control frameworks for energy communities with independent energy storage systems that facilitate energy storage sharing in a reliable manner. They offer algorithms based on a game theoretical control formulation that determine the best time to allocate the energy activities of a group of prosumers, who were defined by their own demand and renewable generation, and a group of energy storage service providers, who were able to store the surplus energy produced by the prosumers and release it after receiving payment.…”

Section: Exchange Costs For the Providermentioning

confidence: 99%

A Cloud-Edge-Based Framework for Electric Vehicle Emergency Energy Trading

Tajalli

Khooban

2023

Inventions

View full text Add to dashboard Cite

The number of electric vehicles (EVs) is increasingly growing day by day and the charging infrastructure for covering this growing number of EVs should be developed. The construction of charging stations is one of the main solutions for supporting EVs while it costs huge investments for installation. Thus, this is not financially logical to invest in charging stations in remote areas with lower demands. An alternative way of constructing charging stations is to provide a peer-to-peer (P2P) energy exchange system in order to support out-of-charge EVs. In this paper, a private cloud-edge emergency energy trading framework is proposed to facilitate energy exchange among consumers and providers. Furthermore, a bidding system is suggested to encourage EVs with extra charges to exchange their energy. Moreover, a matching strategy for pairing consumers and providers is suggested in this paper that considers the benefit of both consumers and providers. In the proposed matching system, a measurement strategy is also suggested for considering the effect of the reliability and punctuality of the providers. To develop the accuracy and efficiency of the proposed framework, employing deep learning methods is also suggested in different layers of the framework. The performance of the proposed framework is evaluated on several case studies in the presence of EVs with realistic features to prove its efficiency, feasibility, and scalability.

show abstract

Section: Exchange Costs For the Providermentioning

confidence: 99%

A Cloud-Edge-Based Framework for Electric Vehicle Emergency Energy Trading

Tajalli

Khooban

2023

Inventions

View full text Add to dashboard Cite

show abstract

“…It is worth mentioning that modern EPS systems can include energy storage devices to mitigate the effects of RES' uncertainties in the EPS operation [32,33]. However, this study focuses on verifying the efficiency/performance of the SOCP model to solve the OPF problem in EPS that have high levels of RES penetration.…”

Section: Res Power Outputmentioning

confidence: 99%

“…The set of generation buses was divided into two subsets (Γ G = Γ nR ∪ Γ R ), where: (i) Γ nR was the nonRES generations (TG); and (ii) Γ R were the RES generations (HG, WG and PV). For comparative purposes, a linearized version of the EEOPF problem ( 7)-( 25) was obtained by linearizing the conic constraint (15) through a piecewise linear approximation, as has been presented in ( 26)- (33) [34], where ∆S km = S km /L and m S km,l,t,ss = (2l − 1)/∆S km,t,ss .…”

Section: Multiobjective Eeopf Problem: Socp Formulationmentioning

confidence: 99%

“…Equations ( 27) and (28) defined the positive slack variables used to calculate the power flows in each l th block. Equations ( 29) and ( 30) described the active/reactive power flow in each l th block, whereas (32) and (33)…”

Section: Multiobjective Eeopf Problem: Socp Formulationmentioning

confidence: 99%

“…p + km,t,ss , p − km,t,ss , q + km,t,ss , q − km,t,ss ≥ 0 (31) ∀km ∈ Γ B ; ∀t ∈ Ω t ; ∀ss ∈ Ω ss t ; 0 ≤ ∆p km,l,t,ss ≤ ∆S km (32) 0 ≤ ∆q km,l,t,ss ≤ ∆S km (33) ∀km ∈ Γ B ; ∀l ∈ {1, . .…”

Section: Multiobjective Eeopf Problem: Socp Formulationmentioning

confidence: 99%

See 2 more Smart Citations

Economic/Environmental Optimal Power Flow Using a Multiobjective Convex Formulation

et al. 2023

View full text Add to dashboard Cite

This paper addresses the problem of economic/environmental optimal power flow with a multiobjective formulation using a second-order conic programming (SOCP) optimization model. This problem formulation considers renewable energy sources (RES), fossil-fuel-based power generation units, and voltage control. The proposed SOCP model is a stochastic scenario-based approach to deal with RES and load behavior uncertainties. An ε-constrained algorithm is used to handle the following three objective functions: (1) the costs of power generation, (2) active power losses in the branches, and (3) the emission of pollutant gases produced by fossil-fuel-based power generation units. For comparative purposes, the SOCP model is also presented using a linearized formulation, and numerical results are presented using a 118-bus system. The results confirm that changing the energy matrices directly affects the cost of objective functions. Additionally, using a linearized SOCP model significantly reduces reactive power violation in the generation units when compared to the nonlinearized SOCP model, but also increases the computational time consumed.

show abstract