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J.p.s. Catalão - One of the best experts on this subject based on the ideXlab platform.

  • Optimal Demand Response Strategies to Mitigate Oligopolistic Behavior of Generation Companies Using a Multi-Objective Decision Analysis
    IEEE Transactions on Power Systems, 2018
    Co-Authors: Miadreza Shafie-khah, P. Siano, J.p.s. Catalão
    Abstract:

    In this paper, an agent-based model is proposed to improve the electricity Market efficiency by using different demand response programs (DRPs). In the proposed model, the strategic self-scheduling of each Market Player in the electricity Market and consequent Market interactions are considered by using a game theoretic model powered by a security constrained unit commitment. The tariffs of price-based DRPs and the amount of incentive in the incentive-based DRPs are optimized. Furthermore, a Market power index and the operation cost are used to evaluate the Market efficiency by using a multi-objective decision-making approach. The results show that different types of DRPs differently affect the oligopolistic behavior of Market Players, and the potential of Market power in power systems can be mitigated by employing the proposed model for DRP optimization. Numerical studies reveal that applying combinational DRPs is more efficient when the regulatory body considers both economic and Market power targets.

  • Impacts of Demand Response on oligopolistic behavior of electricity Market Players in the day-ahead energy Market
    2016 IEEE Power and Energy Society General Meeting (PESGM), 2016
    Co-Authors: S. Soleymani, N. Hajibandeh, M. Shafie-khah, P. Siano, J.m. Lujano-rojas, J.p.s. Catalão
    Abstract:

    This paper investigates the effects of Demand Response Programs (DRPs) on the behavior of electricity Market Players in the day-ahead energy Market. To this end, an electricity Market environment is proposed based on the multi-agent systems in order to model the strategic self-scheduling of each Market Player as an individual agent. In such oligopolistic environment, Market interactions are considered by using a game theoretic model and the Market transactions are cleared by means of a security constrained unit commitment problem. Different types of DRPs are also considered consisting of Time Of Use (TOU), Real Time Pricing (RTP), Critical Peak Pricing (CPP), and Emergency Demand Response Program (EDRP). The proposed model is applied on a modified IEEE six-bus test system. The numerical results indicate that different types of DRPs differently affect the oligopolistic behavior of Market Players that should be studied by the system operators before their implementation.

Fabiana Tito - One of the best experts on this subject based on the ideXlab platform.

João P. S. Catalão - One of the best experts on this subject based on the ideXlab platform.

  • A new approach for Market power detection in renewable-based electricity Markets
    2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC I&CPS, 2017
    Co-Authors: Neda Hajibandeh, Miadreza Shafie-khah, Gerardo J. Osório, João P. S. Catalão
    Abstract:

    This work proposes a new approach to detect the Market power in power systems consisting of renewable energy sources. A model powered by game theory and agent-based systems is proposed to analyze the behaviors of each Market Player from the regulatory body's viewpoint. The proposed method considers both the tacit collusive behavior of Generation Companies, and the possibility of explicit collusion. In addition, three new Market power indexes are introduced to quantify the Market power level as well as to precise its causes. In order to evaluate the efficiency of the methodology, various numerical studies are carried out, and the effect of several Market regulations is investigated on the Market behaviors.

  • strategic offering for a price maker wind power producer in oligopoly Markets considering demand response exchange
    IEEE Transactions on Industrial Informatics, 2015
    Co-Authors: Miadreza Shafiekhah, Mohsen Parsa Moghaddam, E Heydarianforushani, M E H Golshan, Mohammad Kazem Sheikheleslami, João P. S. Catalão
    Abstract:

    This paper proposes an offering strategy for a wind power producer (WPP) that participates in both day-ahead (DA) and balancing oligopoly Markets as a price maker. Penetration of demand response (DR) resources into smart grids is modeled by intraday demand response exchange (IDRX) architecture. A bilevel optimization framework is proposed based on multiagent system and incomplete information game theory. Modeling the WPPs in high penetration of wind power as price makers can reflect the capability of this Market Player to directly affect the Market prices. Simulation results indicate that the price-taker model of WPP is not accurate for WPPs that have significant Market shares. By comparing the results obtained from modeling the WPPs as price makers with the ones as price takers, it can be concluded that WPPs have the Market power not only to increase the prices of both DA and balancing Markets, but also to reduce the amount of DR through IDRX Market mechanism.

Elizabeth M M Q Farina - One of the best experts on this subject based on the ideXlab platform.

P. Siano - One of the best experts on this subject based on the ideXlab platform.

  • Optimal Demand Response Strategies to Mitigate Oligopolistic Behavior of Generation Companies Using a Multi-Objective Decision Analysis
    IEEE Transactions on Power Systems, 2018
    Co-Authors: Miadreza Shafie-khah, P. Siano, J.p.s. Catalão
    Abstract:

    In this paper, an agent-based model is proposed to improve the electricity Market efficiency by using different demand response programs (DRPs). In the proposed model, the strategic self-scheduling of each Market Player in the electricity Market and consequent Market interactions are considered by using a game theoretic model powered by a security constrained unit commitment. The tariffs of price-based DRPs and the amount of incentive in the incentive-based DRPs are optimized. Furthermore, a Market power index and the operation cost are used to evaluate the Market efficiency by using a multi-objective decision-making approach. The results show that different types of DRPs differently affect the oligopolistic behavior of Market Players, and the potential of Market power in power systems can be mitigated by employing the proposed model for DRP optimization. Numerical studies reveal that applying combinational DRPs is more efficient when the regulatory body considers both economic and Market power targets.

  • Impacts of Demand Response on oligopolistic behavior of electricity Market Players in the day-ahead energy Market
    2016 IEEE Power and Energy Society General Meeting (PESGM), 2016
    Co-Authors: S. Soleymani, N. Hajibandeh, M. Shafie-khah, P. Siano, J.m. Lujano-rojas, J.p.s. Catalão
    Abstract:

    This paper investigates the effects of Demand Response Programs (DRPs) on the behavior of electricity Market Players in the day-ahead energy Market. To this end, an electricity Market environment is proposed based on the multi-agent systems in order to model the strategic self-scheduling of each Market Player as an individual agent. In such oligopolistic environment, Market interactions are considered by using a game theoretic model and the Market transactions are cleared by means of a security constrained unit commitment problem. Different types of DRPs are also considered consisting of Time Of Use (TOU), Real Time Pricing (RTP), Critical Peak Pricing (CPP), and Emergency Demand Response Program (EDRP). The proposed model is applied on a modified IEEE six-bus test system. The numerical results indicate that different types of DRPs differently affect the oligopolistic behavior of Market Players that should be studied by the system operators before their implementation.