Ashkan Rahimi-Kian

Ashkan Rahimi-Kian

Kitchener, Ontario, Canada
6K followers 500+ connections

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About

I am a Principal Electrical Engineer with 28+ years of professional R&D and leadership in…

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Experience

  • Quanta Technology, LLC Graphic

    Quanta Technology, LLC

    Kitchener, Ontario, Canada

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    Communitech, Kitchener, Ontario, Canada

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    IBM Venture Lab, Markham, Ontario, Canada

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    Richmond Hill, Ontario, Canada

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    Toronto, Canada Area

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    Toronto, Canada Area

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    Tehran, Iran

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    Aachen, Germany

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    Louisville, Kentucky, United States

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    Santa Clara County, California, United States

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    Pasadena, CA

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    Columbus, Ohio Area

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Education

  • The Ohio State University Graphic

    The Ohio State University

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    Activities and Societies: Development of optimal bidding strategies in stochastic dynamic Energy Markets using stochastic optimal control and game theories

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    Activities and Societies: High-frequency inductor design using Finite Element method (Flux 3D software) for resonant inverters

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    Activities and Societies: Electric Machine transient operation analysis using Matlab/Simulink software

Publications

  • On the stability of quadratic dynamics in discrete time N-player Cournot games

    Automatica

    Motivated by analyzing the dynamic adjustment process of players in an n-player Cournot game, in this paper a discrete-time quadratic dynamical system is proposed and the stability of its equilibrium is analyzed. Several output adjustment mechanisms (e.g. best reply, adaptive adjustment and myopic) and expectations (e.g. naïve and adaptive) in a Cournot game with linear price function and quadratic costs, which form a quadratic dynamical system, are the special cases of the proposed model. The…

    Motivated by analyzing the dynamic adjustment process of players in an n-player Cournot game, in this paper a discrete-time quadratic dynamical system is proposed and the stability of its equilibrium is analyzed. Several output adjustment mechanisms (e.g. best reply, adaptive adjustment and myopic) and expectations (e.g. naïve and adaptive) in a Cournot game with linear price function and quadratic costs, which form a quadratic dynamical system, are the special cases of the proposed model. The stability of the proposed quadratic dynamical system is analyzed with (1) time invariant parameters, (2) time invariant parameters in the presence of disturbance and (3) bounded time varying parameters in the presence of disturbance. In each case, the sufficient condition to find the region that belongs to the basin of attraction is derived using some discrete-time converse Lyapunov theorems. In addition, the proposed model and theorems are utilized to analyze the stability of the boundary and Nash equilibrium points of a Cournot game with three heterogeneous players

    Other authors
    • Hamed Kebriaei

  • Aggregated Wind Power and Flexible load Offering Strategy

    IET-Renewable Power Generation

    Intermittence is one the main obstacles in wind power penetration, due to imbalance charges set by market prices. To cope with this drawback, demand-side participation has been proposed as a good complement that can handle positive and negative imbalances. This study suggests an offering optimisation model for aggregated wind power and flexible loads in day-ahead electricity markets. Flexible load as a storage unit can either cover wind power imbalances or recover itself according to…

    Intermittence is one the main obstacles in wind power penetration, due to imbalance charges set by market prices. To cope with this drawback, demand-side participation has been proposed as a good complement that can handle positive and negative imbalances. This study suggests an offering optimisation model for aggregated wind power and flexible loads in day-ahead electricity markets. Flexible load as a storage unit can either cover wind power imbalances or recover itself according to electricity price and load curve during various hours. The proposed offering model is compared with the disaggregated operations of wind and demand response with satisfactory results.

    Other authors
    • Javad Mohammadi
    • Mohammad Sadegh Ghazizadeh

  • Short-term load forecasting with a new non-symmetric penalty function

    IEEE Transactions on Power Systems

    In this paper, the problem of short-term load forecasting is redefined and solved with a new metric, which is the extension of the conventional sum of squared error (SSE) metric. The proposed metric is a nonsymmetric penalty function with different penalties for over-forecasting and under-forecasting. Therefore, a large family of approaches that utilize gradient-based methods such as artificial neural networks with back propagation learning and regressions method with least squares estimate are…

    In this paper, the problem of short-term load forecasting is redefined and solved with a new metric, which is the extension of the conventional sum of squared error (SSE) metric. The proposed metric is a nonsymmetric penalty function with different penalties for over-forecasting and under-forecasting. Therefore, a large family of approaches that utilize gradient-based methods such as artificial neural networks with back propagation learning and regressions method with least squares estimate are not useful in this case. To solve this problem, a modified radial basis function (RBF) network, which uses the genetic algorithm to estimate the weights of the network is presented. This network has the ability to handle the new penalty function. In addition, a fuzzy inference system is combined with the modified RBF network to incorporate the impact of temperature on load. As a real case study, we tried to forecast the electric power load of Mazandaran area in Iran. The comparison between the proposed method and the well-known RBF network demonstrates the efficiency of the proposed method with the new forecasting metric.

    Other authors
    • Hamed Kebriaei
    • Babak Najar Arabi

  • A dynamic replicator model of the players’ bids in an oligopolistic electricity market

    Elsevier - Electric Power System Research

    In this paper, the replicator dynamics of the power suppliers’ bids in an oligopolistic electricity market are derived for both the fixed and variable demand cases. The replicator dynamics stability analysis is also performed. The dynamics of the electricity markets are the results of players’ decisions. The physical parameters of the power systems (such as the lines capacities, voltage limitations, etc.) also affect the market dynamics indirectly, through the changes in players’ behaviors…

    In this paper, the replicator dynamics of the power suppliers’ bids in an oligopolistic electricity market are derived for both the fixed and variable demand cases. The replicator dynamics stability analysis is also performed. The dynamics of the electricity markets are the results of players’ decisions. The physical parameters of the power systems (such as the lines capacities, voltage limitations, etc.) also affect the market dynamics indirectly, through the changes in players’ behaviors. Assuming rational players, an optimal bidding strategy for constructing the supply function (SF) of a generating firm is presented and based on that, the dynamics of the bid replicators are studied. Both fixed demands and price sensitive demands are taken into account. The replicator model is presented in the well-known state space structure. A case study is presented to show the applicability of the developed dynamic replicator bid model, and also to show how the Nash–SFE equilibrium evolves over time.

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  • Generation Expansion Planning of Stand-alone Micropower systems under Uncertainty using Advanced Planning Methodology

    Energy, Exploration & Exploitation

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  • A study of electricity market dynamics using Invasive Weed Colonization Optimization

    IEEE symposium on computational intelligence and games

    A method based on the novel optimization algorithm of Invasive Weed colonization Optimization (IWO) is used to study electricity market dynamics. Dynamics of such a multi agent system is analyzed using aspects both from Game theory and IWO. The method is integrated with a power system simulator to consider all the constraints of a realistic power system to make sure that the results are reliable. The IWO has also been introduced briefly and it is discussed why this method is supposed to be…

    A method based on the novel optimization algorithm of Invasive Weed colonization Optimization (IWO) is used to study electricity market dynamics. Dynamics of such a multi agent system is analyzed using aspects both from Game theory and IWO. The method is integrated with a power system simulator to consider all the constraints of a realistic power system to make sure that the results are reliable. The IWO has also been introduced briefly and it is discussed why this method is supposed to be appropriate in such problems. Several simulation studies are presented to show how the method works. These outputs are compared with what exist in the literature. It is shown that making use of search based optimization algorithms such as IWO is necessary for consideration of all the constraints and details.

    Other authors
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  • Gaming analysis in joint energy and spinning reserve markets

    IEEE Transactions on Power Systems

    A SFE game model was developed for generating and analyzing the energy and reserve offers in joint markets with numerous case studies.

    Other authors
    • Hossein Haghighat
    • Hossein Seifi

  • A Robust Decision Making Framework for GEP of Grid Connected Micro-Power Systems

    IEEE

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  • A combination of MADM and genetic algorithm for optimal DG allocation in power systems

    42nd International Universities Power Engineering Conference, UPEC 2007.

    This paper uses the AHP combined with GA algorithms to find the optimal sizes and locations of some DGs in a distribution network with economical-technical-environmental attributes.

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  • Bidding strategies in oligopolistic dynamic electricity double-sided auctions

    IEEE Transactions on Power Systems

    A double-sided day-ahead energy market was modeled and studied using dynamic game theory. The Stochastic Nash strategies were derived and analyzed for both generating firms and load serving entities in numerous case studies.

    Other authors
    • Jose B Cruz
    • Robert J Thomas
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Projects

  • Intelligent Agent based InterNet-based Market Simulator (NetPMS)

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    Designing an Intelligent Agent-based Power Market Simulator called Net-PMS for educational purposes simulating spot and day ahead markets precisely

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Languages

  • English

    Full professional proficiency

  • Farsi

    Native or bilingual proficiency

Organizations

  • Professional Engineers of Ontario (PEO)

    P.Eng

    - Present

  • IEEE

    Senior Member and Article Reviewer

    - Present

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