Renewable energy curtailment: A case study on today's and tomorrow's congestion management

Schermeyer, Hans; Vergara, Claudio; Fïchtner, Wolf

doi:10.1016/j.enpol.2017.10.037

Cited by 102 publications

(46 citation statements)

References 7 publications

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“…Inspired by Burger et al (2004) and Schermeyer et al (2018), the day-ahead prices P h,t are modelled as a function of the residual load factor as follows:…”

Section: Day-ahead Pricesmentioning

confidence: 99%

A looming revolution: Implications of self-generation for the risk exposure of retailers

Russo

Bertsch

2020

Energy Economics

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Managing the risk associated with uncertain load has always been a challenge for retailers in electricity markets. Yet the load variability has been largely predictable in the past, especially when aggregating a large number of consumers. In contrast, the increasing penetration of unpredictable, small-scale electricity generation by consumers, i.e. self-generation, constitutes a new and yet greater volume risk. Using value-at-risk metrics and Monte Carlo simulations based on German historical loads and prices, the contribution of decentralized solar PV self-generation to retailers' load and revenue risks is assessed. This analysis has implications for the consumers' welfare and the overall efficiency of electricity markets.

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“…Inspired by Burger et al (2004) and Schermeyer et al (2018), the day-ahead prices P h,t are modelled as a function of the residual load factor as follows:…”

Section: Day-ahead Pricesmentioning

confidence: 99%

A looming revolution: Implications of self-generation for the risk exposure of retailers

Russo

Bertsch

2020

Energy Economics

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“…The competitiveness of ES technologies are affected by policies that encourage RES deployment. For example, in Germany, there is no incentive for wind farm operators to store the energy generated because they are paid 95-100% of the relevant wind Feed in Tariff (FiT) for the curtailment of that energy [46,58]. In the UK, FiT, Renewables Obligation (RO), Contract for Difference (CfD), and Climate Change levy (CCL) are examples of FCLs policies introduced to encourage the deployment of RES.…”

Section: The Interaction Of Storage With Final Consumption Leviesmentioning

confidence: 99%

On the Role of Regulatory Policy on the Business Case for Energy Storage in Both EU and UK Energy Systems: Barriers and Enablers

et al. 2020

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This paper presents a SWOT analysis of the impact of recent EU regulatory changes on the business case for energy storage (ES) using the UK as a case study. ES technologies (such as batteries) are key enablers for increasing the share of renewable energy generation and hence decarbonising the electricity system. As such, recent regulatory changes seek to improve the business case for ES technologies on national networks. These changes include removing double network charging for ES, defining and classifying ES in relevant legislations, and clarifying ES ownership along with facilitating its grid access. However, most of the current regulations treat storage in a similar way to bulk generators without paying attention to the different sizes and types of ES. As a result, storage with higher capacity receives significantly higher payment in the capacity market and can be exempt from paying renewable energy promotion taxes. Despite the recent regulatory changes, ES is defined as a generation device, which is a barrier to a wide range of revenue streams from demand side services. Also, regulators avoid disrupting the current energy market structure by creating an independent asset class for ES. Instead, they are encouraging changes that co-exist with the current market and regulatory structure. Therefore, although some of the reviewed market and regulatory changes for ES in this paper are positive, it can be concluded that these changes are not likely to allow a level playing field for ES that encourage its increase on energy networks.

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“…The discovery of the egg will led to the throwing of the egg from the nest or the host bird will opt for a new nest while abandoning the previous one and manufacture a new nest given by equation (8).…”

Section: Cuckoo Search Algorithmmentioning

confidence: 99%

“…The wide use of the renewable energy resources have aimed towards the pollution free society. This initiative has inspired the power system researchers to explore the various oppourtunities associated with the renewable form of energy resources to manage the several power system problems [8]. The usefulness of the wind energy and its application in the sector of power system can be found in [9].…”

Section: Introductionmentioning

confidence: 99%

Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind Farm

Paul

Kumar

2018

IJECE

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The issue to alleviate congestion in the power system framework has emerged as an alluring field for the power system researchers. The research conducted in this article proposes a cuckoo search algorithm based congestion alleviation strategy with the incorporation of wind farm. The bus sensitivity factor data are computed and utilized to sort out the sutiable position for the installation of the wind farm. The generators contributing in the real power rescheduleing process are selected as per the generator sensitivity values. The cuckoo search algorithm is implemented to minimize the congestion cost with the embodiment of the wind farm.The proposed method is tested on 39 bus New England framework and the results obtained with the cuckoo search based congestion management approach outperforms the results opted with other heuristic optimization techniques in the past research literatures.

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Renewable energy curtailment: A case study on today's and tomorrow's congestion management

Cited by 102 publications

References 7 publications

A looming revolution: Implications of self-generation for the risk exposure of retailers

A looming revolution: Implications of self-generation for the risk exposure of retailers

On the Role of Regulatory Policy on the Business Case for Energy Storage in Both EU and UK Energy Systems: Barriers and Enablers

Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind Farm

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