Coalition of distributed generation units to Virtual Power Players - a game theory approach

Morais, Hugo; Sousa, Tiago; Santos, Gabriel; Pinto, Tiago; Praça, Isabel; Vale, Zita

doi:10.3233/ica-150490

Cited by 12 publications

(7 citation statements)

References 32 publications

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“…Bio-inspired computing has been the subject of significant research in recent years such as evolutionary computing and genetic algorithms [37][38][39][40], particle swarm optimization [41], ant colony optimization [43], water drop algorithms [43] and spiral dynamic algorithms [44]. In evolutionary game theory, entire groups of players are involved in a game [45]. Each player chooses a strategy from a specific set of strategies with the goal of winning the game [46].…”

Section: Replicator Dynamicsmentioning

confidence: 99%

Multi-agent replicator controller for sustainable vibration control of smart structures

Soto¹,

Adeli²

2017

J. vibroeng.

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Developed in the artificial intelligence community, an intelligent agent is an autonomous abstract or software entity that observes through sensors and acts upon an environment in an adaptive or intelligent manner. In a centralized control system, one central controller uses the global measurement data collected from all the sensors installed in the structure to make control decisions and to dispatch them to control devices. The centralized controller itself represents a single point of potential failure. To overcome this shortcoming, decentralized control is used to improve redundancy. This paper introduces three ideas to vibration control of smart structures: agent technology, replicator dynamics from evolutionary game theory, and energy minimization. It presents two new methods: 1) a single-agent Centralized Replicator Controller (CRC) and a decentralized Multi-Agent Replicator Controller (MARC) for vibration control of smart structures. The use of agents and a decentralized approach enhances the robustness of the entire vibration control system. The proposed control methodologies are applied to vibration control of a 3-story steel frame and a 20-story steel benchmark structure subjected to two sets of seismic loadings: historic earthquake accelerograms and artificial earthquakes and compared with the corresponding centralized and decentralized conventional Linear Quadratic Regulator (LQR) control algorithm.

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Section: Replicator Dynamicsmentioning

confidence: 99%

Multi-agent replicator controller for sustainable vibration control of smart structures

Soto¹,

Adeli²

2017

J. vibroeng.

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“…We expect that the modeling and solution methods presented in this work would potentially intrigue the interest of investigating other types of traffic assignment problems with path constraints, which have been paid little attention in the previous literature. The model itself can also be extended to deal with more complicating and realistic traffic assignment problems, as we showed in the modeling extensions, and be used as a modeling platform to construct, for example, traffic equilibrium problems with flow‐dependent path constraints for morning commute networks, optimal location problems for refueling infrastructure planning (e.g., Kuby and Lim, ), or traffic and electricity system interaction problems (e.g., Morais et al., ). Last but not least, we must emphasize that in the foreseeable future, travel demands in most regions are comprised of both BEVs and conventional ICEVs (as well as, of course, vehicles of other types of engine technologies), so the present model should be enhanced to accommodate ICEV traffic flows when applied for real‐world equilibrium network problems.…”

Section: Discussionmentioning

confidence: 99%

Relay Requirement and Traffic Assignment of Electric Vehicles

Xie

Jiang

2016

Computer aided Civil Eng

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This article defines, formulates, and solves a new equilibrium traffic assignment problem with side constraints-the traffic assignment problem with relays. The relay requirement arises from the driving situation that the onboard fuel capacity of vehicles is lower than what is needed for accomplishing their trips and the number and distribution of refueling infrastructures over the network are under the expected level. We proposed this problem as a modeling platform for evaluating congested regional transportation networks that serve plug-in electric vehicles (in addition to internal combustion engine vehicles), where battery-recharging or battery-swapping stations are scarce. Specifically, we presented a novel nonlinear integer programming formulation, analyzed its mathematical properties and paradoxical phenomena, and suggested a generalized Benders decomposition framework for its solutions. In the algorithmic framework, a gradient projection algorithm and a labeling algorithm are adopted for, respectively, solving the primal problem and the relaxed master problem-the shortest path problem with relays. The modeling and solution methods are implemented for solving a set of example network problems. The numerical analysis results obtained from the implementation clearly show how the driving range limit and relay station location reshape equilibrium network flows.

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“…In reference [16], the authors propose the use of cooperative game theory approaches to split and allocate a VPP’s profit among the aggregated distributed energy resources. Similarly in reference [33], a methodology for creating coalitions of distributed generation units based on game theory is proposed. It features a classification model of distributed energy resources considering fourteen parameters including technical, economic and behavioral ones.…”

Section: Related Workmentioning

confidence: 99%

A Fog Computing Enabled Virtual Power Plant Model for Delivery of Frequency Restoration Reserve Services

Pop

Antal

Cioara

et al. 2019

Sensors

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Nowadays, centralized energy grid systems are transitioning towards more decentralized systems driven by the need for efficient local integration of new deployed small scale renewable energy sources. The high limits for accessing the energy markets and also for the delivery of ancillary services act as a barrier for small scale prosumers participation forcing the implementation of new cooperative business models at the local level. This paper is proposing a fog computing infrastructure for the local management of energy systems and the creation of coalitions of prosumers able to provide ancillary services to the grid. It features an edge devices layer for energy monitoring of individual prosumers, a fog layer providing Information and Communication Technologies (ICT) techniques for managing local energy systems by implementing cooperative models, and a cloud layer where the service specific technical requirements are defined. On top, a model has been defined allowing the dynamical construction of coalitions of prosumers as Virtual Power Plants at the fog layer for the provisioning of frequency restoration reserve services while considering both the prosumers’ local constraints and the service ones as well as the constituents’ profit maximization. Simulation results show our solution effectiveness in selecting the optimal coalition of prosumers to reliably deliver the service meeting the technical constraints while featuring a low time and computation overhead being feasible to be run closer to the edge.

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Coalition of distributed generation units to Virtual Power Players - a game theory approach

Cited by 12 publications

References 32 publications

Multi-agent replicator controller for sustainable vibration control of smart structures

Multi-agent replicator controller for sustainable vibration control of smart structures

Relay Requirement and Traffic Assignment of Electric Vehicles

A Fog Computing Enabled Virtual Power Plant Model for Delivery of Frequency Restoration Reserve Services

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