嘉宾评论:地方能源市场促进地方能源系统整合

IF 1.6 Q4 ENERGY & FUELS IET Energy Systems Integration Pub Date : 2022-11-11 DOI:10.1049/esi2.12083
Yue Zhou
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引用次数: 0

摘要

在向碳中和过渡的过程中,随着分布式能源(DERs)的激增,包括分布式发电(尤其是可再生能源发电)、储能、灵活需求和电动汽车,传统能源系统正在经历一场彻底的变革。在先进的控制、资讯及通讯技术的支援下,邻近地理区域的分布式能源系统可组成本地能源系统,以促进本地电力及能源平衡,并支援大型能源系统的运作。当地能源市场(lem)是实现有效和高效率的低碳管理和进一步为实现充分交易的能源系统铺平道路的潜在安排。本期特刊着重于LES集成的lem,包括四篇论文,涵盖了不同的关键方面。论文的简要描述如下,我们鼓励读者参考论文了解更多细节。虚拟发电厂(vpp)是一个重要的框架,在这个框架中,分布式发电商可以分组参与本地和大宗能源市场。本期特刊有两篇关于vip的论文。在论文“将建筑聚合为VPP:建筑设计、支持技术和案例研究”中,Luo等人专注于工业/商业/住宅建筑,并设计了一个综合的VPP建筑体系结构,并确定了相关的关键支持技术。该架构的一个突出贡献是确定了VPP管理系统与现有建筑能源系统以及相关物联网(IoT)设备之间交互的需求,具有良好的实际应用意义。除了众所周知的技术vpp和商业vpp, Luo等人还提出了“以居住者为中心的vpp”(o - vpp),它能够促进建筑之间的局部能源共享、弹性增强和能源使用知识共享。另一篇关于虚拟电厂的论文是“具有不确定多站点边际价格(LMPs)的虚拟电厂(VPP)调度”。本文重点研究了VPP在实际应用中的另一个重要的实际问题——VPP管理的der可能位于输电网络的不同部分,因此面临不同级别的lmp。Khandelwal等人提出了一个解决这个问题的调度框架,同时考虑了相关的价格不确定性,并使用Markowitz的均值-方差准则来解决它们。当地电力市场是研究最多的lem。论文“在住宅网络中托管基于社区的本地电力市场”建立了一种简化的建模方法,其中市场和网络模型模拟以级联和解耦的方式进行。Saif et al.评估了当地电力市场的网络影响,以及不同类型的分布式发电(主要是光伏和储能)对当地电力市场结果的影响。当地能源市场涉及多个能源部门,甚至包括交通运输等更广泛的部门,还需要先进的信息和通信技术的支持。在论文“支持智能本地能源系统(SLES)的信息和通信技术(ICT)基础设施:综述”中,Vedantham等人基于对现有研究工作和工业项目的系统调查,对支持SLES的ICT基础设施进行了全面综述。对各种能量载体和技术的各种SLES测量进行了描述和分类,并对SLES的通信基础设施进行了描述,总结了各种通信技术。此外,根据其目标和技术对SLES的信息通信技术基础设施进行了分类和总结。最后,提出了挑战和建议。本文的研究结果可为今后SLES的发展提供参考。本地能源市场的LES集成是一个新兴的前沿研究领域。尽管全球学术界和产业界都进行了大量的研究和实践,但还远远不够,lem在实践中的大规模部署仍然面临许多挑战,任重道远。本地能源市场和LES整合是未来能源供应模式向零碳排放根本性转变的一部分,需要我们不断努力。
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Guest Editorial : Local energy markets for local energy systems integration

In the transition to carbon neutrality, conventional energy systems are experiencing a radical change with the proliferation of distributed energy resources (DERs), including distributed generation (especially renewable power generation), energy storage, flexible demand and electric vehicles. With the support of advanced control, information and communication technologies, DERs in nearby geographical areas form local energy systems (LESs) for facilitating local power and energy balance and supporting the operation of bulk energy systems. Local energy markets (LEMs) are potential arrangements for achieving effective and efficient management of LESs and further paving the path towards fully transactive energy systems.

This Special Issue focuses on LEMs for LES integration, including four papers covering different key aspects. The brief description for the papers is presented as given below, and we encourage the readers to refer to the papers for more details.

Virtual power plants (VPPs) are an important framework where DERs can be grouped to participate in both local and bulk energy markets. There are two papers on VPPs in this Special Issue. In the paper ‘Aggregating buildings as a VPP: Architectural design, supporting technologies, and case studies’, Luo et al. focussed on industrial/commercial/residential buildings and designed a comprehensive architecture of building VPPs with the relevant key supporting technologies identified. One prominent contribution of the proposed architecture is identifying the need for interaction between VPP management systems and existing building energy systems and the associated Internet of Things (IoT) devices, with good sense of practical application. Besides the well-known technical VPPs and commercial VPPs, Luo et al. also proposed ‘occupant-centric VPPs’ (O-VPPs), which is able to facilitate local energy sharing, resilience enhancement and energy usage knowledge sharing among buildings.

The other paper on VPPs is ‘Virtual Power Plant (VPP) scheduling with uncertain multiple locational marginal prices (LMPs)’. This paper focussed on another important practical issue when applying VPPs in practice—the DERs managed by a VPP may be located in different parts of an electricity transmission network, thus faced with different levels of LMPs. Khandelwal et al. proposed a scheduling framework that tackles this issue, and at the same time considering the correlated price uncertainties and addressing them using the Markowitz's mean-variance criterion.

Local electricity markets are the most heavily researched LEMs. The paper ‘Hosting a community-based local electricity market in a residential network’ established a simplified modelling approach where the market and network model simulations are performed in a cascaded and decoupled fashion. Saif et al. evaluated the network impact of the local electricity market and the implications of different types of DERs (mainly photovoltaics and energy storage) on the outcome of local electricity market.

Local energy markets involve multiple energy sectors and even wider sectors like transportation, and also need to be supported by advanced information and communication technologies. In the paper ‘Information and communications technology (ICT) infrastructure supporting smart local energy systems (SLES): A review’, Vedantham et al. provided a comprehensive review of ICT infrastructure supporting SLES, based on a systematic survey of existing research work and industrial projects. Various SLES measurements were described and categorised for various energy carriers and technologies, and communications infrastructure for SLES was described with various communication technologies summarised. Moreover, the ICT infrastructures for SLES were categorised and summarised based on their objectives and technologies. Finally, the challenges and recommendations were presented. The findings from this paper can serve as a convenient reference for developing future SLES.

Local energy markets for LES integration are an emerging research area at the cutting edge. Although a lot of research and practice have been conducted by both the academia and industry globally, they are still not enough, and the large-scale deployment of LEMs in practice is still faced with many challenges with a long way to go. Local energy markets and LES integration are a part of the fundamental change of future energy supply paradigm towards zero carbon emissions, needing and our continuous efforts.

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来源期刊
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
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