Optimal Power Dispatching for Local Area Packetized Power Network

Ma, Jinghuan; Song, Lingyang; Li, Yonghui

doi:10.1109/tsg.2017.2669907

Cited by 45 publications

(38 citation statements)

References 19 publications

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“…Inside each micro-grid, IEDs monitor the power flows; power taken from the MV grid, consumption of every load, power generated by every DG, and power reserved to energy storage. The concept of digital grid introduced in [5] and very recently extended in [6], [7] considers that each micro-grid may work independently (asynchronously) and are connected via DC lines where energy is interchanged via physical packets (refer to Section II-C).…”

Section: B Specific Devices and Micro-gridsmentioning

confidence: 99%

Energy Internet via Packetized Management: Enabling Technologies and Deployment Challenges

et al. 2019

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This paper investigates the possibility of building the Energy Internet via a packetized management of non-industrial loads. The proposed solution is based on the cyber-physical implementation of energy packets where flexible loads send use requests to an energy server. Based on the existing literature, we explain how and why this approach could scale up to interconnected micro-grids, also pointing out the challenges involved in relation to the physical deployment of electricity network. We then assess how machine-type wireless communications, as part of 5G and beyond systems, will achieve the low latency and ultra reliability needed by the micro-grid protection while providing the massive coverage needed by the packetized management. This more distributed grid organization also requires localized governance models. We cite few existing examples as local markets, energy communities and micro-operator that support such novel arrangements. We close the paper by providing an overview of ongoing activities that support the proposed vision and possible ways to move forward.

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Section: B Specific Devices and Micro-gridsmentioning

confidence: 99%

Energy Internet via Packetized Management: Enabling Technologies and Deployment Challenges

et al. 2019

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“…1, where circles are BSs and the square is the energy router, which is in charge of making energy routing and power allocation decisions. According to [8], BSs are connected through Direct Current (DC) power links (electric wires) and the transmission of energy over them is operated in a Time Division Multiplexing (TDM) fashion. Energy transfer occurs by first establishing an energy route, which corresponds the sequence of power links between the energy source and the destination.…”

Section: A Power Packet Gridsmentioning

confidence: 99%

“…Each power link can only be used for a single energy trading operation at a time. Power distribution losses along the power links follow a linear function of the distance between the source and the destination [8]. They depend on the resistance of the considered transmission medium and are defined by [16]:…”

Section: A Power Packet Gridsmentioning

confidence: 99%

“…The energy routing process is controlled by a special entity called energy router [7]. Following this architecture, a local area packetized-power network consisting of a group of energy subscribers and a core energy router is presented in [8]. In this paper, the authors devise a strategy to match energy suppliers and consumers, seeking to minimize the mismatch between the energy generation and demand.…”

Section: Introductionmentioning

confidence: 99%

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Energy Cooperation for Sustainable Base Station Deployments: Principles and Algorithms

Gambı́n¹,

Rossi²

2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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Abstract-Energy self-sufficiency is of prime importance for future mobile networks. The design of energy efficient and possibly self-sustainable base stations is key to reduce their impact on the environment, and diminish their operating expense. As a solution to this, we advocate base station deployments featuring energy harvesting and storage capabilities. Each base station can acquire energy from the environment, promptly use it to serve the local traffic or keep it in its storage for later use. In addition, a power packet grid (DC power lines and switches) is utilized to enable energy transfer (energy routing) across base stations, compensating for imbalance in the harvested energy or in the load. Most of the base stations are offgrid, i.e., they can only use the locally harvested energy and that transferred from other network elements, whereas some of them are ongrid, i.e., they can also purchase energy from the electrical grid. We formulate the optimal energy allocation and routing as a convex optimization problem with the goals of improving the energy self-sustainability of the network, while achieving high energy transfer efficiencies under dynamic load and energy harvesting processes. An optimal assignment based on the Hungarian method is also presented. Our numerical results reveal that the proposed convex policy: (i) substantially improves the energy self-sustainability of the system, (ii) decreases its outage probability to nearly zero, even when a small number of base stations are connected to the electrical grid, and (iii) the amount of energy purchased from the electrical grid per served user is respectively decreased of three and eight times with respect to using the Hungarian policy and a scenario where the energy exchange among base stations is not permitted.

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“…This includes the details of how this could be physically implemented by physical energy routers and switches in testbed [17,18], also considering technical aspects like digital micro-grids [19] and their routing algorithms [20]. In other recent contributions, the authors proposed in [21] an energy internet based on a distribution grid composed by local area packetized power networks where an efficient transmission and subscriber matching protocol was used for its operations. This enables the routers to supply power over different routes by matching the subscribers and demand supplier.…”

Section: Introductionmentioning

confidence: 99%

A Cyber-Physical Residential Energy Management System via Virtualized Packets

et al. 2020

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This paper proposes a cyber-physical system to manage flexible residential loads based on virtualized energy packets. Before being used, flexible loads need to request packets to an energy server, which may be granted or not. If granted, the energy server guarantees that the request will be fulfilled. Each different load has a specific consumption profile and user requirement. In the proposed case study, the residential consumers share a pool of energy resources that need to be allocated by the energy server whose aim is to minimize the imports related to such a group. The proposed solution shows qualitative advantages compared to the existing approaches in relation to computational complexity, fairness of the resource allocation outcomes and effectiveness in peak reduction. We demonstrate our solution based on three different representative flexible loads; namely, electric vehicles, saunas and dishwashers. The numerical results show the efficacy of the proposed solution for three different representative examples, demonstrating the advantages and drawbacks of different allocation rules.

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Optimal Power Dispatching for Local Area Packetized Power Network

Cited by 45 publications

References 19 publications

Energy Internet via Packetized Management: Enabling Technologies and Deployment Challenges

Energy Internet via Packetized Management: Enabling Technologies and Deployment Challenges

Energy Cooperation for Sustainable Base Station Deployments: Principles and Algorithms

A Cyber-Physical Residential Energy Management System via Virtualized Packets

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