Intelligent Power Routers: Distributed Coordination for Electric Energy Processing Networks

Irizarry-Rivera, A.A.; Rodrı́guez-Martı́nez, Manuel; Vélez, Bienvenido; Vélez-Reyes, Miguel; Ramirez-orquin, Alberto R.; O’Neill-Carrillo, Efraín; Cedeño, JoséR R.

doi:10.1002/9780470602782.ch3

Cited by 6 publications

(14 citation statements)

References 21 publications

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“…To calculate individual IPR reliability, we have divided them into three principal subsystems: power hardware (power circuit breakers), computer hardware (used for IPR-to-IPR communications, routing, and CPU functions), and the software that manages the device. e reliability estimates of each of the subsystems that compose the IPR are provided in [4].…”

Section: Methodsmentioning

confidence: 99%

“…For our scope, we consider only Generation and Transmission Systems. [4] are the principal components of a smart grid that was developed as a distributed architecture for decentralized coordination, control, and communication between power system components. Intelligent control and planning of network operations are built into smart computing devices attached to sources, power lines, and other power network devices, thus allowing them to have a picture of current network conditions and assign resources to respond to failures, priority, or demand.…”

Section: Electrical Power Distribution Systems Andmentioning

confidence: 99%

“…is device [4] was inspired on Internet routers, and it has a degree of "intelligence" that allows it to switch lines and shed loads. Devices such as the former allow the Electrical Power Distribution System (EPDS) to become reliable, resilient, exible, and e cient.…”

Section: Introductionmentioning

confidence: 99%

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Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices

Torres

Gershenson²,

Kanaan-Izquierdo³

2022

Complexity

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The area of smart power grids needs to constantly improve its efficiency and resilience, to provide high quality electrical power in a resilient grid, while managing faults and avoiding failures. Achieving this requires high component reliability, adequate maintenance, and a studied failure occurrence. Correct system operation involves those activities and novel methodologies to detect, classify, and isolate faults and failures and model and simulate processes with predictive algorithms and analytics (using data analysis and asset condition to plan and perform activities). In this paper, we showcase the application of a complex-adaptive, self-organizing modeling method, and Probabilistic Boolean Networks (PBNs), as a way towards the understanding of the dynamics of smart grid devices, and to model and characterize their behavior. This work demonstrates that PBNs are equivalent to the standard Reinforcement Learning Cycle, in which the agent/model has an interaction with its environment and receives feedback from it in the form of a reward signal. Different reward structures were created to characterize preferred behavior. This information can be used to guide the PBN to avoid fault conditions and failures.

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Section: Methodsmentioning

confidence: 99%

Section: Electrical Power Distribution Systems Andmentioning

confidence: 99%

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Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices

Torres

Gershenson²,

Kanaan-Izquierdo³

2022

Complexity

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“…The problem of power routing is tackled in a number of scientific research papers. In [16] routing is related to maximizing the total revenue (for both power suppliers and power customers), whereas intelligent power routers and distributed coordination have been proposed in [17] and [18] to increase the robustness and flexibility of the distribution network. Similar studies have been conducted in [19], where graph routing algorithms are proposed to efficiently route power, and in [20], where a distributed market based allocation technique that minimizes the overall power generation cost is presented.…”

Section: Related Workmentioning

confidence: 99%

Fully distributed power routing for an ad hoc nanogrid

Brocco

2013

2013 IEEE International Workshop on Inteligent Energy Systems (IWIES)

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This paper details a model for an ad hoc self organized nanogrid based on distributed energy sources. The pro posed concept draws inspiration from ad hoc computer networks and aims at creating an adaptive, scalable, and reliable power network to support energy provisioning with limited planning when the main grid is unavailable or severely damaged. Such a system could be used to support electrification and energy sharing in isolated rural areas, or to help emergency response crews in disaster relief situations. To control the operation of the nanogrid, we detail an autonomous fully distributed protocol that enables on demand dynamic configuration of power transmission paths between power sources and load devices across a mesh of intelligent routing nodes. The adaptiveness, resiliency, and scalability of our solution is demonstrated through simulation experiments.

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“…The first future version of a power router also called an energy router, is proposed by the North Carolina State University under a project entitled the Future Renewable Electric Energy Delivery and Management System (FREEDM) [7]. In recent years, the architecture of the power router has been discussed widely [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

An Alterable Structure Power Router with General AC and DC Port for Microgrid Applications

et al. 2019

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This paper proposes an alterable structure power router (PR) topology which shares the ability of general Alternating Current (AC) and Direct Current (DC) port. This alterable structure PR aims to better implement the interconnections among micro-grids, renewable energy, and traditional grids. The PR’s converter structure is alterable according to the system power. Based on the operation analysis of the PR, the mathematic model of the power router is established and the relationship between switch states and port voltage is analyzed. According to the PR mathematical model, the control method is designed to realize current control in both AC and DC mode. With the proposed power router topology, the PR’s port can be used in both AC and DC situations, which saves the cost of traditional PRs and increases economic efficiency. The simulation and experimental results prove the good steady-state and dynamic performance of the proposed power router topology.

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Intelligent Power Routers: Distributed Coordination for Electric Energy Processing Networks

Cited by 6 publications

References 21 publications

Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices

Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices

Fully distributed power routing for an ad hoc nanogrid

An Alterable Structure Power Router with General AC and DC Port for Microgrid Applications

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