kth.sePublications
Change search
Refine search result
1 - 12 of 12
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Khodadadi, Abolfazl
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems. KTH Royal Institute of Technology.
    Electricity Market Design Strategies for Hydro-dominated Power Systems: Exploring Optimal Bidding, Planning, and Strategic Operation through Various Market Design Strategies2024Doctoral thesis, monograph (Other academic)
    Abstract [en]

    The existing wholesale power markets in Nordic countries play a vital role in ensuring the planned balance between supply and demand. However, these markets do not guarantee real-time operational security of the power system. This responsibility falls on the transmission system operator (TSO), who balances consumption and generation in real-time to maintain a secure state.

    To address these issues, a series of research studies have been performed in this thesis to delve into the intricacies of Nordic balancing markets and propose strategies to enhance their efficiency and effectiveness. These studies have been conducted around the hydropower units as the main generation sources in the Nordic electricity markets. These studies recognize the potential benefits of versatile balancing markets and increased trade of flexible resources with Continental Europe. 

    Additionally, the research results shed light on the optimal bidding strategies for hydropower plants (HPPs) in the day-ahead energy and manual frequency restoration reserve (mFRR) markets. HPPs play a crucial role as a flexible energy source, and their participation in these markets requires careful planning and decision-making. The studies consider various factors such as market rules, mFRR capacity market, future electricity prices, and the impact of active-time duration of balancing energy market offers on revenue generation. This inclusion provides a more realistic revenue portfolio for the operators based on the possibility of not being dispatched in the balancing market. 

    Furthermore, the research explores the concept of flexible stochastic scheduling strategies in hydropower-dominated energy markets. By considering day-ahead energy markets, mFRR markets, and the interaction between different market setups. These strategies provide the necessary flexibility for both the planning and operational stages. The aim is to maximize the profits of the hydropower units while addressing the opportunity cost of saving water and meeting the mFRR capacity requirements imposed by the TSO. Participation in new market setups is an increasingly interesting framework for the operator after the recent introduction of those markets and the results of this section help them to form more profitable decision-making frameworks for their assets. 

    Moreover, the optimal strategic portfolio assessment of HPPs in a multi-settlement market is discussed. Recognizing the increasing electricity prices and the growing penetration of renewable energy resources, these studies leverage bilevel programming problems to model the strategic behavior of HPPs in day-ahead and frequency containment reserve markets. The proposed approaches aim to enhance decision-making processes, promote market efficiency, and enable effective asset management in a dynamic and evolving energy landscape to make more informed multi-market trading decisions. 

    Also, the research examines the dimensioning of frequency restoration reserves in a multi-area power system, specifically focusing on the Nordic case study. By adopting a sequential dimensioning methodology and employing chance-constrained optimization, the studies allocate reserves based on system needs, optimize line flows, and reduce total reserve requirements. The results highlight the potential for sharing reserves among bidding zones in the Nordic synchronous area, contributing to a more efficient and coordinated power system operation.

    Lastly, a thorough investigation has been performed to assess the effectiveness of the current contract-for-difference contracts as the main support schemes for the development of new renewable energy assets. Case studies have been conducted to demonstrate quantitatively the pros and cons of different proposals and provide new hints for policy-makers about their future decisions. 

    Download full text (pdf)
    WEB VERSION
  • 2.
    Khodadadi, Abolfazl
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Herre, Lars
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Shinde, Priyanka
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Eriksson, Robert
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Söder, Lennart
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Amelin, Mikael
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Nordic Balancing Markets: Overview of Market Rules2020In: International Conference on the European Energy Market, EEM, IEEE Computer Society , 2020Conference paper (Refereed)
    Abstract [en]

    System operators have the option to trade balancing reserves among countries and operators. In order to trade balancing reserves with other system operators the markets should be harmonized. While the spot and intraday markets are already harmonized within the Nordics, the balancing markets still display differences. The differences can be subtle, yet they may play a significant role for the planning, operation, modelling and control of the power system. In this paper, we conduct a thorough literature review on Nordic balancing markets and summarize the market rules and requirements. This review can help operators and modellers to better represent the Nordic power system.

  • 3.
    Khodadadi, Abolfazl
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Hesamzadeh, Mohammad Reza
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Söder, Lennart
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Multimarket Trading Strategy of a Hydropower Producer Considering Active-Time Duration: A Distributional Regression Approach2022In: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234, p. 1-11Article in journal (Refereed)
    Abstract [en]

    This article presents a new approach for finding the optimal multimarket trading strategy of cascaded hydropower plants (HPPs) in the sequential electricity markets. These markets are day-ahead energy market, the market for frequency containment reserve in normal mode (FCR-N), and manual frequency restoration reserve markets for both energy production and capacity reserve. The active-time duration (ATD) of an mFRR energy offer is an important required parameter and it is uncertain at the time of day-ahead offer-function submission. Hence, we suggest a distributional regression approach for ATD modeling in an optimal multimarket setup. Also, a modified machine learning approach is proposed to generate price scenarios for the mFRR energy market taking into account uncertain ATD parameters. To illustrate our proposed approach, various numerical experiments are performed. Our numerical results show how proper modeling of ATD parameters can lead to a more realistic multimarket offer-function for cascaded HPPs. Furthermore, the results show how the inclusion of FCR-N and mFRR capacity markets change the optimal day-ahead offer-function.

  • 4.
    Khodadadi, Abolfazl
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Nordström, Henrik
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Söder, Lennart
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    On the Sequential Reserve Dimensioning for a Multi-Area Power System: Nordic Case Study2023In: Proceedings of 2023 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023, Institute of Electrical and Electronics Engineers (IEEE) , 2023Conference paper (Refereed)
    Abstract [en]

    This paper presents a sequential dimensioning methodology for frequency restoration reserves in a multi-area power system based on chance-constrained optimization. In the first stage, the reserves to handle the reference incident in each area are dimensioned. Then, the transmission network usage for providing these reserves is calculated and the remaining transfer capacity is used in the next stage where the reserves to handle normal imbalances are dimensioned. The optimization problem in each stage seeks to allocate reserves such that the total volumes of reserves and the line flows are co-optimized. Reserves are dimensioned for four seasons instead of the current static approach with yearly dimensioning. By adjusting the reserve requirements based on the system’s needs, the total reserves are reduced. Also, the results demonstrate high potential in sharing reserves among bidding zones in the Nordic synchronous area.

  • 5.
    Khodadadi, Abolfazl
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Söder, Lennart
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Impacts of Frequency Containment Reserve on the Optimal Coordinated Hydropower Scheduling in Three-Settlement Markets2020In: 2020 IEEE electric power and energy conference (epec), Institute of Electrical and Electronics Engineers (IEEE) , 2020Conference paper (Refereed)
    Abstract [en]

    This paper investigates the coordinated scheduling of hydropower plants in a river participating in a day-ahead, regulation and reserve markets. The gains in participating in the multiple sequential electricity markets are formulated through the linear programming. In the reserve market, the possibility of proposing an unsymmetrical frequency containment reserve (FCR) is considered for two scenarios in the winter and summer. Furthermore, the impacts of active time of regulation bids are investigated. The results show a moderate revenue increase by participating in the reserve market. Also, it states that providing the unsymmetrical FCR market will even increase revenue as an incentive for the owners to participate.

  • 6.
    Khodadadi, Abolfazl
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Söder, Lennart
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    On the Optimal Coordinated Hydropower Bidding Strategy in Day-Ahead Energy and Manual Frequency Restoration Reserve Markets2021In: 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, Institute of Electrical and Electronics Engineers (IEEE) , 2021, p. 1-6, article id 9494813Conference paper (Refereed)
    Abstract [en]

    Hydropower plants (HPs) is an important source of flexibility in the electricity market and need operation and planning strategies to participate in various market setups. Due to lacking enough bids in the balancing market, manual frequency restoration reserve (mFRR) capacity market is going to be announced in the near future in Nordic electricity market. This paper develops a two-stage stochastic optimization framework that maximizes the revenue of the HP owners participating in mFRR capacity market beside their bidding in day-ahead and mFRR energy market. The impact of various mFRR capacity and future electricity prices have been considered. Furthermore, we show the influence of active time of mFFR energy bids on the revenue obtained from different markets. The results show a moderate increase in total revenue when participating in mFRR capacity market and considerable impacts from variable active time on the revenue obtained from each market setups.

  • 7.
    Khodadadi, Abolfazl
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Söder, Lennart
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Amelin, Mikael
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Flexible Stochastic Bilevel Scheduling Strategy in Hydropower Dominated Energy Markets2022In: Proceedings of the 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022, Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 245-249Conference paper (Refereed)
    Abstract [en]

    This paper presents an electricity market that in-cludes day-ahead energy and manual frequency replacement reserve (mFRR) markets and consists of cascaded hydropower plants (HPs) offering their aggregated capacity to these markets. The proposed model is a two-stage bilevel offering strategy to show the hierarchical decision-making process in the European electricity market. The upper-level describes the day-ahead profit maximization optimization considering the opportunity cost of saving water which is controlled through the real-time dispatch in the operation day and mFRR capacity requirements imposed from TSO. In the lower-level, the mFRR energy market with their corresponding active-time duration is modeled to control the real-time discharge of water and upward or downward offering strategies. The new approach provides the flexibility for the planning and operational stages to define their own objective functions, maximize their profits and conserve the proper interaction between them through linking variables.

  • 8.
    Khodadadi, Abolfazl
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Söder, Lennart
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Amelin, Mikael
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Stochastic adaptive robust approach for day-ahead energy market bidding strategies in hydro dominated sequential electricity markets2022In: Sustainable Energy, Grids and Networks, E-ISSN 2352-4677, Vol. 32, article id 100827Article in journal (Refereed)
    Abstract [en]

    This paper presents a novel methodological approach for the optimal day-ahead energy market bidding behavior of a cascaded hydropower plants (HPPs) portfolio in the sequential electricity markets. The understudy markets are day-ahead energy market and manual frequency restoration reserve (mFRR) markets in both capacity and energy setups. The introduction of the mFRR capacity market ensures transmission system operators (TSOs) about the availability of energy bids in the real-time market, which acts as binding constraints in the mFRR energy markets. As a determining factor, the active-time duration of mFRR energy bids is uncertain at the time of day-ahead bidding, which is modeled as the intervals in our robust optimization, while the electricity prices are considered as the scenarios in the stochastic optimization. Hence, we have proposed a novel stochastic adaptive robust optimization to address the bidding problem in the face of uncertainties accurately. The results show a considerable improvement compared to the conventional fully-stochastic approach in the case study of Swedish cascaded hydropower plants.

  • 9.
    Manzanares Casla, Irene
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Khodadadi, Abolfazl
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Söder, Lennart
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Optimal Day Ahead Planning and Bidding Strategy of Battery Storage Unit Participating in Nordic Frequency Markets2022In: IEEE Access, E-ISSN 2169-3536, Vol. 10, p. 76870-76883Article in journal (Refereed)
    Abstract [en]

    The current energy transition needed to meet the world climate objectives is causing stability challenges in all the power systems. As a consequence, finding solutions that allow dealing with those frequency stability issues is critical to achieving the sustainability objectives. In this context, batteries can find new revenue opportunities by being part of the solution to this problem. This paper develops a mathematical model that provides the optimal bidding strategy and the most convenient operational planning for batteries participating in balancing markets. More specifically, this project is focused on the Swedish frequency markets whose minimum bid size is smaller than 5 MW. The proposed optimization problem is a two-stage stochastic mixed-integer and linear optimization from the battery operator's point of view that includes a novel step-by-step process for properly selecting the bid prices by the quantification of the risks, control costs and amortization of the battery. The originality of the work resides in the aforementioned process that allows risk assessment together with the linear modelling of paid-as-bid markets, commonly solved through non-linear problems. As a result, not only the profitability of this application for batteries is demonstrated, but it is also possible to observe the seasonal differences when it comes to revenue and power requirements. The model is tested with data from Sweden, but it is designed to be adjustable to other balancing markets.

  • 10.
    Nazari, Mohammad Hassan
    et al.
    Amirkabir Univ Technol, Dept Elect Engn, Tehran 1591639675, Iran..
    Sanjareh, Mehrdad Bagheri
    Shahid Beheshti Univ, Dept Elect Engn, Tehran 1983969411, Iran..
    Khodadadi, Abolfazl
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Torkashvand, Maryam
    Islamic Azad Univ, Dept Elect & Comp Engn, Sci & Res Branch, Tehran, Iran..
    Hosseinian, Seyed Hossein
    Shahid Beheshti Univ, Dept Elect Engn, Tehran 1983969411, Iran..
    An economy-oriented DG-based scheme for reliability improvement and loss reduction of active distribution network based on game-theoretic sharing strategy2021In: Sustainable Energy, Grids and Networks, E-ISSN 2352-4677, Vol. 27, article id 100514Article in journal (Refereed)
    Abstract [en]

    This paper presents a techno-economic strategy for reliability improvement and loss reduction in active distribution networks and microgrids including distributed generations (DGs). This approach is a theoretical method stand on the determination of locational marginal price in each bus including DGs. In this method, each DG is a player of game theory considering its effect on mitigated loss and enhanced reliability. In this proposed approach, each player receives an economic incentive in case of incremental price using a fair method based on the game theory. To illustrate, DGs that vary their generations with the desired objectives of the network will receive incentives in terms of incremental price in selling energy and obtaining more benefits. Moreover, to attain a feasible realistic structure, the uncertainties of loads are studied. In addition, as an approach for controlling the operation of the network, the suggested approach should supervise the contribution of DGs in incentives allocation which leads to meeting each network's goals based on their contributions in the pricing approach. Validation of the proposed method is performed based on testing the Taiwan Power Company (TPC) network. The significant outcomes show that the lines loss of the network are reduced by 56% and the reliability improvement percentage is 14%.

  • 11.
    Torkashvand, Maryam
    et al.
    Islamic Azad Univ, Dept Elect & Comp Engn, Sci & Res Branch, Tehran 1477893855, Iran..
    Khodadadi, Abolfazl
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Sanjareh, Mehrdad Bagheri
    Shahid Beheshti Univ, Dept Elect Engn, Tehran 1983969411, Iran..
    Nazary, Muhammad H.
    Amirkabir Univ Technol, Ctr Excellence Power Syst, Dept Elect Engn, Tehran 1983969411, Iran..
    A Life Cycle-Cost Analysis of Li-ion and Lead-Acid BESSs and Their Actively Hybridized ESSs With Supercapacitors for Islanded Microgrid Applications2020In: IEEE Access, E-ISSN 2169-3536, Vol. 8, p. 153215-153225Article in journal (Refereed)
    Abstract [en]

    The combination of supercapacitors (SCs) with Li-ion Batteries (LIBs) and Lead-Acid Batteries (LABs) as hybrid ESSs (HESSs) have widely been proposed for Microgrid (MG) applications. The SCs of HESSs eliminate the stress of surge currents on LIBs and LABs, which increases their life cycles, and decreases their life cycle costs and hence decreases the HESSs operational costs. However, the active topology of HESS, which is the most commonly used configuration, requires an extra SC and an extra DC/DC converter in comparison to the Battery Energy Storage (BESS) topology, which increases the HESS capital cost. This paper tries to investigate that the hybridization of LABs and LIBs with SCs is economically effective or not for applications in islanded MG. In this regard, an energy management and frequency control (EMFC) scheme is proposed for the operation of MG in islanded mode. Using the simulations of the proposed EMFC scheme for islanded MG, the size of main components of LIB ESS (LIBESS), LAB ESS (LABESS), LIB-SC HESS (LISHESS) and LAB-SC HESS (LASHESS) are calculated. The numerical results show that for a 10-year period operation in islanded MG, the LISHESS and LASHESS impose less cost than LIBESS and LABESS. Also, the LISHESS is cheaper (almost 11%) than LASHESS.

  • 12.
    Zaker, Behrooz
    et al.
    Shiraz Univ, Sch Elect & Comp Engn, Shiraz, Iran..
    Khodadadi, Abolfazl
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Karrari, Mehdi
    Amirkabir Univ Technol, Elect Engn Dept, Tehran, Iran..
    A new approach to parameter identification of generation unit equipped with brushless exciter using estimated field voltage2022In: International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, E-ISSN 1879-3517, Vol. 141, article id 108122Article in journal (Refereed)
    Abstract [en]

    Parameter estimation of power plants is one of the main challenges of power system studies. Among different components of a power plant, excitation system (EXS) has great importance because of its effect on dynamic stability of power systems. Thus, it is vital to have accurate models of EXSs for power system dynamic studies. Since the field voltage and current are not accessible in brushless EXSs, parameter estimation of them is more difficult and challenging. Therefore, a new method is proposed in this paper to estimate field voltage signal using other measurements of the synchronous generator (SG). The proposed method is carried out through three stages; 1) parameter estimation of the SG using load rejection tests, 2) field voltage estimation, and 3) parameter estimation of EXS. The proposed method is applied to a 147 MVA industrial gas unit. The estimated model outputs are compared to the experimental results to show the accuracy and effectiveness of the proposed method.

1 - 12 of 12
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf