A framework for redesigning distribution network use of system charges under high penetration of distributed energy resources: new principles for new problems

A framework for redesigning distribution network use of system charges under high penetration of distributed energy resources: new principles for new problems
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分布式能源高渗透率下配电网系统收费重新设计框架:新问题新原则

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发表时间:
2014
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通讯作者:
Ashwini Bharatkumar
Ashwini Bharatkumar
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文献类型:
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作者:
I. Pérez;Ashwini Bharatkumar

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分布式能源(DER)广泛整合的潜力不断增长,为电力行业带来了技术运营,商业模式和行业结构的重大变化。管理这些变化,以确保开发和维护适应性强、可靠的电力系统,需要更新法规,以跟上技术和最终用户需求的发展。监管机构面临的挑战是,确保电力服务商业模式的公平竞争环境符合一系列政策目标,包括确保电力供应的可靠性和质量,电力服务的可负担性,鼓励创新和经济增长,以及开发清洁能源技术以实现脱碳。随着分销系统从被动的消费者网络过渡到具有不同消费和生产行为的网络用户的更积极管理的系统,价格信号将在塑造分销系统的物理组件和网络用户之间的相互作用方面发挥至关重要的作用。配电网系统使用费(DNUoS)是配电公用事业公司支付网络运营和维护成本并收回其基础设施投资的方法,它们向网络用户发出信号,表明他们对配电网的利用如何影响系统成本和每个用户?的份额,这些费用。本文提出了一个新的框架设计的DNUoS收费,要求如何进行配电网络成本分配迄今为止进行了彻底的改革。作者提出了一种方法:1)利用参考网络模型(RNM),以确定分销系统成本的关键驱动因素和2)分配这些成本的网络用户根据网络利用率配置文件,捕捉每个用户的总系统成本的贡献。根据网络使用行为对系统成本的影响,所产生的DNUoS费用对网络用户有很大的差异。这与在多个用户之间分配系统成本的惯例有很大的不同,假设这些用户具有相似的网络利用行为和对网络成本驱动因素的相同影响。因此,监管机构可能会选择调整网络成本的成本驱动因素的分配,以实现不同的监管目标,如增加社会化和公平。麻省理工学院能源倡议,马萨诸塞州理工学院;科米拉斯宗座大学技术研究所;马萨诸塞州理工学院能源和环境政策研究中心。电子邮件地址:ipa@mit.edu马萨诸塞州理工学院麻省理工学院能源倡议;马萨诸塞州理工学院工程系统部。电子邮件地址:abharat@mit.edu
The growing potential for widespread integration of distributed energy resources (DER) presents the electric power sector with significant changes to technical operations, business models, and industry structure. Management of such changes to ensure the development and maintenance of well-adapted, reliable power systems requires updated regulations that keep pace with the evolution of technologies and end-user needs. Regulators are faced with the challenge of ensuring that a level playing field exists for electricity service business models that align with a range of policy goals including the assurance of reliability and quality of electricity supply, affordability of electricity services, encouragement of innovation and economic growth, and the development of clean energy technologies for decarbonization. As the distribution system transitions from a passive network of consumers to a more actively managed system of network users with diverse consumption and production behaviors, price signals will play a crucial role in shaping the interactions between the physical components of the distribution system and network users. Distribution network use of system (DNUoS) charges, are the method by which distribution utilities cover network operation and maintenance costs and recover their infrastructure investments, and they signal to network users how their utilization of the distribution network impacts system costs and each user?s share of those costs. This paper proposes a new framework for the design of DNUoS charges, calling for an overhaul of how distribution network cost allocation has been carried out thus far. The authors present a method for: 1) utilizing a reference network model (RNM) to identify the key drivers of distribution system costs and 2) allocating those costs to network users according to network utilization profiles that capture each user’s contribution to total system costs. The resulting DNUoS charges are highly differentiated for network users according to the impact that network use behaviors have on system costs. This is a substantial departure from the convention of allocating distribution system costs across multiple users assumed to have similar network utilization behaviors and identical impacts on network cost drivers. Thus, regulators may choose to adjust the allocation of network costs to cost drivers in order to achieve varying regulatory objectives such as increased socialization and equity. ∗MIT Energy Initiative, Massachusetts Institute of Technology; Institute of Research in Technology, Comillas Pontifical University; Center for Energy and Environmental Policy Research, Massachusetts Institute of Technology. Email address: ipa@mit.edu †MIT Energy Initiative, Massachusetts Institute of Technology; Engineering Systems Division, Massachusetts Institute of Technology. Email address: abharat@mit.edu