Market power analysis for the Iranian electricity market

Asgari, Mohammad Hossein; Monsef, Hassan

doi:10.1016/j.enpol.2010.04.056

Cited by 33 publications

(37 citation statements)

References 18 publications

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“…The first section of the model's implementation addresses driving the relevant results regarding the competition degree in the market using the RSI. Accordingly, if the RSI is greater than 110 in 95 percent of the hours per year, then the production threshold will be suitable and the market will enjoy the condition of more competition [20]. The RSI index was calculated for the peak hours of the day in 2013.…”

Section: Model Implementation Resultsmentioning

confidence: 99%

Investigating the effect of competitiveness power in estimating the average weighted price in electricity market

Rostamnia

Rashid

2019

The Electricity Journal

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This paper evaluates the impact of the power extent on price in the electricity market. The competitiveness extent of the electricity market during specific times in a day is considered to achieve this. Then, the effect of competitiveness extent on the forecasting precision of the daily power price is assessed. A price forecasting model based on multi-layer perception via back propagation with the Levenberg-Marquardt mechanism is used. The Residual Supply Index (RSI) and other variables that affect prices are used as inputs to the model to evaluate the market competitiveness. The results show that using market power indices as inputs helps to increase forecasting accuracy. Thus, the competitiveness extent of the market power in different daily time periods is a notable variable in price formation. Moreover, market players cannot ignore the explanatory power of market power in price forecasting. In this research, the real data of the electricity market from 2013 is used and the main source of data is the Grid Management Company in Iran.

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Section: Model Implementation Resultsmentioning

confidence: 99%

Investigating the effect of competitiveness power in estimating the average weighted price in electricity market

Rostamnia

Rashid

2019

The Electricity Journal

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“…5 Since its first application, the RSI has become an important predictor for market power in electricity markets (e.g. Chang (2007), Lang (2007), Asgari and Monsef (2010), Kamiński (2012), Mulder and Schoonbeek (2013)). Even more relevant seems to be the use of the RSI by market monitoring units of US regional transmission organizations (RTO).…”

Section: Monitoring Market Power: Literature Reviewmentioning

confidence: 99%

Screening instruments for monitoring market power — The Return on Withholding Capacity Index (RWC)

Bataille¹,

Bodnar²,

Steinmetz

et al. 2019

Energy Economics

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“…This is the case of most countries with deregulated electricity markets, such as the UK, in which incentive mechanisms imposed by the regulator force Discos to reduce (or assume) power losses. In most power markets, such as the Iran power market [18], DisCo takes both technical and financial responsibilities for distribution system operation and also for buying the electricity directly from the DG units [19]. To determine the amount of energy to be purchased from each supplier, DisCo must weigh not only the energy prices but also it must consider the impact of the supplied energy on the distribution network including loss.…”

Section: Basic Assumptionsmentioning

confidence: 99%

“…This is the case of most countries with deregulated electricity markets, such as U.K., in which incentive mechanisms imposed by the regulator force Discos to reduce (or assume) power losses. In most power market, such as Iran Power Market [18], DisCo takes both technical and financial responsibilities for distribution system operation and also for buying the electricity directly from the DG units [19].…”

Section: Figurementioning

confidence: 99%

A bi-level approach for optimal contract pricing of independent dispatchable DG units in distribution networks

Mobarakeh

Rajabi-Ghahnavieh

Haghighat

2016

Int. Trans. Electr. Energ. Syst.

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Distributed Generation (DG) units are increasingly installed in the power systems. Distribution Companies (DisCo) can opt to purchase the electricity from DG in an energy purchase contract to supply the customer demand and reduce energy loss. This paper proposes a framework for optimal contract pricing of independent dispatchable DG units considering competition among them. While DG units tend to increase their profit from the energy purchase contract, DisCo minimizes the demand supply cost. Multi-leader follower game theory concept is used to analyze the situation in which competing DG units offer the energy price to DisCo and DisCo determines the DG generation. A bi-level approach is used to formulate the competition in which each DG problem is the upper-level problem and the DisCo problem is considered as the lower-level one. Combining the optimality conditions of all upper-level problems with the lower level problem results in a multi-DG equilibrium problem formulated as an equilibrium problem with equilibrium constraints (EPEC). Using a nonlinear approach, the EPEC problem is reformulated as a single nonlinear optimization model which is simultaneously solved for all independent DG units. The proposed framework was applied to the Modified IEEE 34-Bus Distribution Test System. Performance and robustness of the proposed framework in determining econo-technically fare DG contract price has been demonstrated through a series of analyses.Keywords: Distributed Generation (DG), Distribution Company (DisCo), Pricing, Game Theory, Multileader follower, Equilibrium Problems with Equilibrium Constraints (EPEC). Active power demand at node k in period t (MW). Voltage magnitude at node k in period t (V).Dual variable related to the power balance constraint at node k in period t.

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Market power analysis for the Iranian electricity market

Cited by 33 publications

References 18 publications

Investigating the effect of competitiveness power in estimating the average weighted price in electricity market

Investigating the effect of competitiveness power in estimating the average weighted price in electricity market

Screening instruments for monitoring market power — The Return on Withholding Capacity Index (RWC)

A bi-level approach for optimal contract pricing of independent dispatchable DG units in distribution networks

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