Noncooperative Equilibrium-Seeking in Distributed Energy Systems Under AC Power Flow Nonlinear Constraints

Scarabaggio, Paolo; Carli, Raffaele; Dotoli, Mariagrazia

doi:10.1109/tcns.2022.3181527

Cited by 30 publications

(10 citation statements)

References 37 publications

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“…The provider utility function is maximized by trying to maximize the received payment from the optional consumer and minimize the actual costs of the charging process for the provider [21]. The utility function of the j-th provider in trade with the i-th consumer is presented as follows:…”

Section: Utility Functionsmentioning

confidence: 99%

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

Tajalli

Khooban

2023

Inventions

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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.

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Section: Utility Functionsmentioning

confidence: 99%

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

Tajalli

Khooban

2023

Inventions

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“…Several recent scientific studies on power grids show that energy scheduling must consider power equality and power flow constraints as well as grid stability aspects [26,27]. In this regard, the objective function in the DA optimisation problem minimises the number and value of the activations to avoid a high number of activations per day.…”

Section: District Management Algorithmmentioning

confidence: 99%

A Multilevel Control Approach to Exploit Local Flexibility in Districts Evaluated under Real Conditions

et al. 2022

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The increasing penetration of renewable energy sources creates a challenge for the stability of current power systems due to their intermittent and stochastic nature. This paper presents the field results of an efficient demand response solution for controlling and adjusting the electric demand of buildings in an energy district through the activation of their thermal mass while respecting the occupants’ thermal comfort constraints. This multilevel control approach aims to support grid flexibility during peak times by constraining the energy exchange with the grid and increasing the self-consumption of the district. The results show a great potential for increasing the self-consumption up to 37% for offices, as well as improving the indoor environment, based on real data collected from a case study in Greece.

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“…As shown in [23], the details and pros and cons of the PSO method are given. Furthermore, [24,25] show that energy scheduling must consider power quality and power flow constraints.…”

Section: Algorithm For General Situationmentioning

confidence: 99%

Multi-Objective Energy Optimal Scheduling of Multiple Pulsed Loads in Isolated Power Systems

Li¹,

Liu²,

Qin

et al. 2022

Sustainability

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Isolated power systems (IPS) usually have multifaceted operational objectives in engineering scenarios, and many key tasks are performed by multiple pulsed loads. The research on multi-objective energy optimal scheduling in isolated power systems which contain multiple pulsed loads is the subject of this paper. In addition, optimal mobility and maximum multiple pulsed load performance value are discussed. By introducing the concept of ship speed at the end state, isolated power system maneuverability is properly characterized by the final state ship speed, combined with the maximum efficiency of multiple pulsed loads, and a multi-objective optimization model of weighted form is constructed using a general, given solution method. In addition, two specific solutions regarding typical engineering scenarios are proposed in this paper: accelerating the catch-up situation and accelerating the evacuation situation. Algorithms for general situations and specific solutions regarding typical engineering scenarios are proposed. Study cases regarding specific engineering scenarios are demonstrated to verify the correctness and efficiency of the method. Finally, the limitations and shortcomings of the established methodology are emphasized.

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Noncooperative Equilibrium-Seeking in Distributed Energy Systems Under AC Power Flow Nonlinear Constraints

Cited by 30 publications

References 37 publications

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

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

A Multilevel Control Approach to Exploit Local Flexibility in Districts Evaluated under Real Conditions

Multi-Objective Energy Optimal Scheduling of Multiple Pulsed Loads in Isolated Power Systems

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