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An optimization model for investigating the trade-offs between efficient spatial pricing of electricity and renewable energy

机译:用于研究电力的有效空间定价与可再生能源之间的取舍的优化模型

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this paper investigates the importance of implementing efficient forms of spatial pricing and their possible effects on generation technologies and the performance and regulation of the electricity market, with particular reference to renewable energy in the British electricity system. For over twenty years economists have known how to calculate the optimal spatial pricing for electricity, known as nodal (or locational marginal) pricing. However, such knowledge appears to have been ignored by the designers of most electricity markets. More importantly it has been suggested that there may be a conflict between the implementation of adequate locational signals and the development of renewable energy because the former may lead to higher network charges which may compromise the profitability (and therefore the feasibility) of renewable energy plants. Thus this paper develops a tool for investigating how various forms of spatial pricing (including nodal pricing) may affect different generation technologies, with regards to both investment and operating decisions. In particular this article focuses on the British case, where it is alleged that the introduction of more efficient spatial pricing might compromise the development of generation technologies located in particular areas, such as renewable technologies, especially on-shore wind farms in the north of the country.
机译:本文研究了实施有效形式的空间定价的重要性及其对发电技术,电力市场的绩效和监管的可能影响,特别是英国电力系统中的可再生能源。二十多年来,经济学家已经知道如何计算电力的最佳空间定价,即节点定价(或位置边际定价)。但是,大多数电力市场的设计者似乎都忽略了这种知识。更重要的是,已经提出,实施适当的位置信号与可再生能源的发展之间可能存在冲突,因为前者可能导致更高的网络费用,这可能会损害可再生能源工厂的盈利能力(并因此降低其可行性)。因此,本文开发了一种工具,用于研究各种形式的空间定价(包括节点定价)如何影响投资和运营决策方面的不同发电技术。本文特别关注英国案例,据称采用更有效的空间定价可能会损害位于特定地区的发电技术的发展,例如可再生能源技术,尤其是北部的陆上风电场。国家。

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  • 会议地点 Istanbul(TR)
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    Matteo Di Castelnuovo;

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    Imperial Centre for Energy Policy & Technology (ICEPT) Centre for Environmental Policy Imperial College London 3~rd Floor Mechanical Engineering Building South Kensington Campus London SW7 2AZ United Kingdom Fax: +44 (020) 759 49334 Email: matteo.di-castelnuovo@imperial.ac.uk;

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