Novel paradigms for advanced distribution grid energy management

Novel paradigms for advanced distribution grid energy management
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先进配电网能源管理的新范例

DOI:
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发表时间:
2017
期刊:
arXiv.org
影响因子:
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通讯作者:
D. Menga
D. Menga
中科院分区:
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文献类型:
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作者:
José Horta;D. Kofman;D. Menga

文献摘要

被引文献

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配电网的设计不是为了应对电动汽车的高普及率带来的负载动态,也不是为了应对分布式可再生能源日益增多的部署。配电系统运营商(DSO)将越来越依赖灵活的分布式能源(灵活的负荷、可控的发电和存储)来保持电网的稳定和保证供电质量。为了适当地整合需求侧的灵活性,DSO需要新的能源管理架构,能够促进与批发市场参与者和亲消费者的合作。我们建议在一个公共的物理基础设施上创建虚拟配电网(VDG),以应对资源和参与者的异构性,以及配电网管理和相关资源分配问题的日益复杂。针对住宅VDG,我们提出了一种基于代理的分层结构,通过基于市场的方法提供需求侧管理服务,家庭通过与邻居、聚合商、公用事业公司和DSO交易他们的剩余/短缺能源和他们的灵活性。为了实现整体解决方案,我们考虑了基于物联网技术的智能家居的细粒度控制。住宅通过基于区块链的通用平台无缝处理自我强制执行的智能合同。最后,我们对该架构进行了扩展,以解决智能家居控制中存在的能源管理以外的问题。
The electricity distribution grid was not designed to cope with load dynamics imposed by high penetration of electric vehicles, neither to deal with the increasing deployment of distributed Renewable Energy Sources. Distribution System Operators (DSO) will increasingly rely on flexible Distributed Energy Resources (flexible loads, controllable generation and storage) to keep the grid stable and to ensure quality of supply. In order to properly integrate demand-side flexibility, DSOs need new energy management architectures, capable of fostering collaboration with wholesale market actors and pro-sumers. We propose the creation of Virtual Distribution Grids (VDG) over a common physical infrastructure , to cope with heterogeneity of resources and actors, and with the increasing complexity of distribution grid management and related resources allocation problems. Focusing on residential VDG, we propose an agent-based hierarchical architecture for providing Demand-Side Management services through a market-based approach, where households transact their surplus/lack of energy and their flexibility with neighbours, aggregators, utilities and DSOs. For implementing the overall solution, we consider fine-grained control of smart homes based on Inter-net of Things technology. Homes seamlessly transact self-enforcing smart contracts over a blockchain-based generic platform. Finally, we extend the architecture to solve existing problems on smart home control, beyond energy management.