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Impact of wind penetration in electricity markets on optimal power-to-heat capacities in a local district heating system

机译:风渗透在电力市场上对当地供热系统的最佳电力容量的影响

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摘要

While the share of intermittent renewable energy sources in a power sector is constantly increasing, demand response technologies are becoming a crucial part of interconnected energy systems. The district heating sector has a great potential of offering such services if power-to-heat and thermal storage technologies are implemented. This is a well-known method of utilizing low-price electricity from the power market. However, powerto-heat optimal supply capacities are rarely studied with respect to different market conditions, especially from the point of view of multi-objective optimization. This paper shows an analysis of the impact of a wind production increase in a power market on optimal power-to-heat capacities in a local district heating system. To obtain these results, a district heating optimization model was developed by using linear programming, while the power market prices reduction is analysed by using historical bidding market data and shifting of the supply curve. The district heating model was created in the open-source and free programming language called Julia. The model was tested on a case study of the Nord Pool electricity market and a numerical example of a district heating system. The main outcome of this research is to show how district heating supply technologies operate in different market conditions and how they affect optimal power-to-heat and thermal storage capacities. Heat pump capacities linearly follow wind production increase in power markets.
机译:虽然电力部门中间歇可再生能源的份额不断增加,但需求响应技术正在成为相互连接的能源系统的重要组成部分。如果实施电力和热存储技术,则区内供热部门具有巨大的潜力。这是一种利用来自电力市场的低价电力的知名方法。然而,对于不同的市场条件,很少研究Powerto-MeateL最佳供应能力,特别是从多目标优化的角度来看。本文展示了对当地电热系统中最佳的电力电力市场的风力产量增加的影响分析。为了获得这些结果,通过使用线性规划开发了一个地区供热优化模型,而通过使用历史竞标市场数据和供应曲线的转移,分析了电力市场的降低。区域供暖模型是在开源和免费编程语言中创建的,称为朱莉娅。该模型在北欧池电力市场的案例研究和区域供热系统的数值示例上进行了测试。本研究的主要结果是展示区供暖供应技术在不同的市场条件下运行以及它们如何影响最佳的电力和热存储容量。热泵容量线性跟踪电力市场的风力生产。

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