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Deploying the ICT architecture of a residential demand response pilot

机译：部署住宅需求响应试点的ICT体系结构

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The Flemish project Linear was a large scale residential demand response pilot that aims to validate innovative smart grid technology building on the rollout of information and communication technologies in the power grid. For this pilot a scalable, reliable and interoperable ICT infrastructure was set up, interconnecting 240 residential power grid customers with the backend systems of energy service providers (ESPs), flexibility aggregators, distribution system operators (DSOs) and balancing responsible parties (BRPs). On top of this architecture several business cases were rolled out, which require the sharing of metering data and flexibility information, and demand response algorithms for the balancing of renewable energy and the mitigation of voltage and power issues in distribution grids. The goal of the pilot is the assessment of the technical and economical feasibility of residential demand response in real life, and of the interaction with the end-consumer. In this paper we focus on the practical experiences and lessons learnt during the deployment of the ICT technology for the pilot. This includes the real-time gathering of measurement data and real-time control of a wide range of smart appliances in the homes of the participants. We identified a number of critical issues that need to be addressed for a future full-scale roll-out: (i) reliable in-house communication, (ii) interoperability of appliances, measurement equipment, backend systems, and business cases, and (iii) sufficient backend processing power for real-time analysis and control.
机译：法兰德斯（Flemish）项目Linear是一项大规模的住宅需求响应试点项目，旨在基于电网中信息和通信技术的推出来验证创新的智能电网技术。对于该试点，建立了可扩展，可靠且可互操作的ICT基础架构，将240个住宅电网客户与能源服务提供商（ESP），灵活性汇总器，配电系统运营商（DSO）和平衡责任方（BRP）的后端系统互连。在此架构之上，推出了多个业务案例，这些业务案例需要共享计量数据和灵活性信息，以及用于平衡可再生能源和缓解配电网中电压和功率问题的需求响应算法。该试点项目的目标是评估现实生活中住宅需求响应的技术和经济可行性，以及与最终消费者的互动。在本文中，我们重点介绍在为飞行员部署ICT技术期间的实践经验和教训。这包括实时收集测量数据并实时控制参与者家中各种智能设备。我们确定了未来全面推广需要解决的许多关键问题：（i）可靠的内部通信，（ii）设备，测量设备，后端系统和业务案例的互操作性，以及（ iii）足够的后端处理能力用于实时分析和控制。

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