An integrated nodal price for distribution networks to facilitate cost recovery and renewable energy promotion

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
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Abstract

Traditional prices at the distribution level cannot efficiently guide the comprehensive cost recovery. To this end, this paper proposes a novel integrated nodal price by solving a comprehensive investment problem. The proposed integrated nodal price can be inherently decomposed into three price components: i) extended distribution locational marginal price of electricity, ii) distribution locational price of carbon, and iii) distribution locational price of investment. Specifically, the extended distribution locational marginal price enables to recover the power generation cost and on–off cost of generation units via a convexified mixed-integer optimal power flow model; the distribution locational price of carbon enables to recover the carbon emission cost through a carbon footprint tracing method; and the distribution locational price of investment enables to recover the investment cost of distribution network via a reverse power flow tracking method. These three price components work in a complementary manner and are coupled with each other through the shared optimal power flow results. Numerical results demonstrate that the proposed extended distribution locational marginal price can reduce the production cost by 10.41% in contrast to the traditional distribution locational marginal price.

配电网综合节点价格,促进成本回收和可再生能源推广
传统的配电网价格无法有效指导综合成本回收。为此,本文通过解决综合投资问题,提出了一种新颖的综合节点价格。所提出的综合节点电价本质上可分解为三个价格组成部分:i) 扩展配电区位边际电价;ii) 配电区位碳价;iii) 配电区位投资价。具体而言,扩展配电区位边际电价可通过凸化混合整数最优电力流模型收回发电成本和发电机组通断成本;配电区位碳价格可通过碳足迹追踪方法收回碳排放成本;配电区位投资价格可通过逆向电力流追踪方法收回配电网投资成本。这三种价格以互补的方式发挥作用,并通过共享的最优电力流结果相互耦合。数值结果表明,与传统的配电区位边际价格相比,所提出的扩展配电区位边际价格可将生产成本降低 10.41%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
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