A new method for evaluation Market Power and identification of dominant suppliers in reactive power markets

Asgari, Mohammad Hossein; Khaki, Bahman; Mozdawar, A.; Riahi, R.

doi:10.1109/systems.2009.4815834

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Such strategies are risky because there is no guarantee that the proposed offer will be accepted and, therefore, trade can be implemented. In most cases, the market clearing price is lower than the proposed offer price from a generation corporation [23]. For the generation units, we assume that every utility corporation i holds a single generator, the MC function reported to the system operator, power output P it , and capacity upper bound P i max and lower bound P i min are presented in (1) and (2), respectively:…”

Section: Utility Company's Market Powermentioning

confidence: 99%

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Investigating the impact of distributed energy resources on market power of strategic utility corporation

Chen

2019

IET Energy Systems Integration

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Market participants may employ potential market power improperly in energy trading. On the other hand, integrations of distributed energy resources (DER) are highly complex since it entails the optimal coordination of a diverse portfolio of DER under multiple sources of uncertainty. A large number of possible stochastic realisations that arise can lead to complex operational models that become problematic in real-time market environments. Although recent works have explored the impacts of DER on numerous aspects of grid operation and planning, its role in imperfect competitive energy markets has not been investigated nonetheless. This article proposes the theoretical and quantitative analysis of the withholding strategies for the utility corporations with the integration of DERs for the first time and the corresponding market power effects on utility corporation's profits and market prices. The quantitative demonstration is supported by a bi-level model with the optimal company profit for the upper level and the market clearing for the lower level. This bi-level problem can be solved directly when a single-level problem is obtained with a mathematical program with equilibrium constraints (MPEC). Numerical studies are implemented on a wholesale market with the day-ahead horizon and hourly resolution.

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Section: Utility Company's Market Powermentioning

confidence: 99%

Section: Problem Descriptionmentioning

confidence: 99%

Investigating the impact of distributed energy resources on market power of strategic utility corporation

Chen

2019

IET Energy Systems Integration

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The probabilistic TC-PSI for studying market power

Hesamzadeh

Rahman

Amelin

2011

2011 IEEE PES Innovative Smart Grid Technologies

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Optimal Active-Reactive Power Dispatch Under Competition via Bilevel Programming

Almeida

Senna²

2011

IEEE Trans. Power Syst.

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This paper proposes an active-reactive power dispatch procedure that is expressed via a bilevel optimization problem whose upper and lower level criteria are, respectively, the minimum opportunity cost and minimum offered price of active power. It analyzes the impact of minimizing such criteria on system operation, and it investigates the behavior of marginal prices and opportunity costs and their use in mechanisms to compensate generators for power provision. The bilevel problem is solved using a version of interior point methods derived for mathematical programs with complementarity constraints. Results obtained with three test systems are analyzed.Index Terms-Active-reactive power dispatch under competition, bilevel optimization, opportunity costs.

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A new method for evaluation Market Power and identification of dominant suppliers in reactive power markets

Cited by 4 publications

References 17 publications

Investigating the impact of distributed energy resources on market power of strategic utility corporation

Investigating the impact of distributed energy resources on market power of strategic utility corporation

The probabilistic TC-PSI for studying market power

Optimal Active-Reactive Power Dispatch Under Competition via Bilevel Programming

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