publication . Doctoral thesis . 2015

Design of Electricity Markets for Efficient Balancing of Wind Power Generation

Scharff, Richard;
Open Access English
  • Published: 01 Jan 2015
  • Publisher: KTH, Elektriska energisystem
  • Country: Sweden
Abstract
Deploying wind power to a larger extent is one solution to reduce negative environmental impacts of electric power supply. However, various challenges are connected with increasing wind power penetration levels. From the perspective of transmission system operators, this includes balancing of varying as well as - to some extent - uncertain generation levels. From the perspective of power generating companies, changes in the generation mix will affect the market's merit order and, hence, their profits. This thesis focuses on provision and use of flexibility in the Nordic electricity market. First, this thesis studies wind power variations and accuracy of wind pow...
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Subjects
free text keywords: wind power variations, forecast errors, market design, adjustment markets, trading decisions, continuous intraday trading, variable renewable energy
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Doctoral thesis . 2015
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87 references, page 1 of 6

6.1 Summary of ndings . . . . . . . . . . . . . . . . . . . . . . . . . . . 71

6.2 Policy implications . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74

6.3 Suggested future research questions . . . . . . . . . . . . . . . . . . . 75

[P1]: R. Schar and M. Amelin. `A Study of Electricity Market Design for Systems

with High Wind Power Penetration'. In: 8th International Conference on the

European Energy Market (EEM). 2011, pp. 614{621.

supervision of Mikael Amelin. [P2]: B.-M. Hodge, D. Lew, M. Milligan, H. Holttinen, S. Sillanpaa, E. Gomez-

Wind Power Plants Conference. 2012.

IEA Wind Task 25 working group, the results have been compared with

pervision of Lennart Soder. [P3]: R. Schar , M. Amelin and L. Soder. `Approaching wind power forecast devi-

ations with internal ex-ante self-balancing'. In: Energy 57 (2013), pp. 106{

before the period of delivery. This article is an improved version of [20];

supervision of Mikael Amelin and Lennart Soder. [P4]: R. Schar and M. Amelin. `Distributed Balancing of Wind Power Forecast

2013 24th International Workshop on. Aug. 2013, pp. 176{183.

This article describes an extended set up of the model applied in article [P3].

87 references, page 1 of 6
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