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1.
In Germany there are four control areas that are operated by four independent system operators. Up to November 2008 there occurred antipodal use of secondary balancing power. Because this is inefficient, the market for secondary balancing power had been harmonized step by step. Since May 1st, 2010, harmonization is complete and no antipodal use occurs, so secondary balancing power should be used in an efficient way. This paper starts with an analysis of the auction data from May 1st, 2010 to December 31st, 2010. Total costs are computed as well. In the next step, total costs are computed. Subsequently, a comparison with the data before the harmonization process is made. On the one hand, major efficiency gains have been achieved. On the other hand, bids have strongly increased, which may be due to a different market environment, but also due to strategic bid submission.  相似文献   

2.
This article examines the economic impacts of an implementation of different capacity mechanisms in the German market for electricity. We discuss selective mechanisms that address only newly installed capacity, as well as global mechanisms. Whenever appropriate, we give examples from international experience. We show that global mechanisms—contrary to selective mechanisms—can incentivize efficient investment decisions. However, due to the regulatory intensity of such mechanisms we advise not to take such measures unless a clear need is indicated.  相似文献   

3.
Electric mobility is supposed to contribute to climate policy targets by reducing CO2-emissions in the transportation sector. Increasing penetration rates of electric vehicles (EV) can lead to new challenges in the electricity sector, especially with regard to local distribution networks. Thus the management of charging loads is discussed as a key issue in energy economics. Due to their long parking times, high electricity and power demand, EV seem to be predestined for load management. Monetary incentives as dynamic pricing can be suitable for that: They reflect the current supply situation, pass the information to the consumers and can thus lead to a corresponding charging behaviour. In this article we analyse this interaction between dynamic pricing and charging loads. For this reason we have developed the optimization model DS-Opt+. It models a total number of 4,000 households in two residential areas of a major city with regard to its electricity demand, its mobility behaviour and its equipment of photovoltaic systems. Four different pricing models are tested for their effects on charging behaviour and thus the total load of the residential area. The results illustrate that only fairly high penetration rates of EV lead to remarkably higher electricity demand and require some load management. The tested dynamic pricing models are suitable for influencing charging loads; load-based tariffs are best in achieving a balanced load curve. In our analysis uncontrolled charging strategies are superior regarding a balanced load curve than controlled strategies by time-varying tariffs. Our results lead to several implications relevant for the energy industry and further research.  相似文献   

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