Optimal Market Strategies in Energy Systems with High Penetration of Wind Power

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Volume Title

School of Electrical Engineering | Doctoral thesis (article-based) | Defence date: 2022-10-27

Date

2022

Major/Subject

Mcode

Degree programme

Language

en

Pages

138 + app. 94

Series

Aalto University publication series DOCTORAL THESES, 130/2022

Abstract

The ever-increasing penetration of renewable energy resources (RERs), specifically wind power generation (WPG) into the power grid has significantly changed the operation of power systems. Integration of large-scale WPG creates different challenges for the power systems, hence obliging them to provide sufficient flexibility to accommodate uncertainties arisen from the unpredictable nature of WPG. To this end, providing higher operating reserve capacity for the power system is motivated for large scale integration of intermittent WPG. The other alternative for addressing this issue is demand response management, an economically and practically efficient way for providing flexibility, which has emerged as a key concern in practice and has become the focus of many works. This thesis proposes a novel method to incorporate the reserve capacity for the wind power producers (WPP) in the electricity market. At the next step, it presents a novel and comprehensive model for demands to investigate their strategic behavior in the electricity market while there is a large share of WPG in the system.

Description

Supervising professor

Lehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland

Thesis advisor

Liski, Matti, Prof., Aalto University, Finland

Keywords

wind power, electricity market, demand response, optimization programming, bilevel problems, generalized Nash equilibrium problem, HVAC systems

Other note

Parts

  • [Publication 1]: Tavakkoli, Mehdi; Fattaheian-Dehkordi, Sajjad; Pourakbari-Kasmaei, Mahdi; Liski, Matti; Lehtonen, Matti. An incentive based demand response by HVAC systems in residential houses. In IEEE PES Innovative Smart Grid Technologies (ISGT) Conference Europe, Bucharest, Romania, 29 Sept.-2 Oct. 2019. pages 1-5.
    DOI: 10.1109/ISGTEurope.2019.8905691 View at publisher
  • [Publication 2]: Tavakkoli, Mehdi; Fattaheian-Dehkordi, Sajjad; Pourakbari-Kasmaei, Mahdi; Liski, Matti; Lehtonen, Matti. A Game Theory Approach for Maximum Utilization of Wind Power by DR in Residential Consumers. In IEEE PES Innovative Smart Grid Technologies (ISGT) Conference Europe, The Hague, Netherlands, 26-28 Oct. 2020. pages 839-843.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-202103222534
    DOI: 10.1109/ISGT-Europe47291.2020.9248820 View at publisher
  • [Publication 3]: Tavakkoli, Mehdi; Fattaheian-Dehkordi, Sajjad; Pourakbari-Kasmaei, Mahdi; Liski, Matti; Lehtonen, Matti. Bonus-based demand response using Stackelberg game approach for residential end-users equipped with HVAC system. IEEE Transactions on Sustainable Energy 12 (1), pages 234-249, 2020.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-202006013488
    DOI: 10.1109/TSTE.2020.2989583 View at publisher
  • [Publication 4]: Tavakkoli, Mehdi; Fattaheian-Dehkordi, Sajjad; Pourakbari-Kasmaei, Mahdi; Liski, Matti; Lehtonen, Matti. An Approach to Divide Wind Power Capacity Between Day-Ahead Energy and Intraday Reserve Power Markets. IEEE Systems Journal 16 (1), pages 1-12, 2020.
    DOI: 10.1109/JSYST.2020.3032656 View at publisher
  • [Publication 5]: Tavakkoli, Mehdi; Fattaheian-Dehkordi, Sajjad; Pourakbari-Kasmaei, Mahdi; Liski, Matti; Lehtonen, Matti. Strategic Biddings of a Consumer demand in both DA and Balancing Markets in Response to Renewable Energy Integration, Electric Power Systems Research, Volume 210, 2022, 108132, ISSN 0378-7796.
    Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-202207014340
    DOI: 10.1016/j.epsr.2022.108132 View at publisher
  • [Publication 6]: Tavakkoli, Mehdi; Fattaheian-Dehkordi, Sajjad; Pourakbari-Kasmaei, Mahdi; Hatziargyriou, Nikos; Liski, Matti; Lehtonen, Matti. Investigating Howthe Equilibria of the Electricity Market Are Affected by Modelling the strategic Behaviour of Consumers, International Review of Electrical Engineering, Vol 17, No 3 (2022)

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