The issue of market concentration in electricity markets and resulting possible anti-competitive behavior of producers is a much discussed topic in many countries. We investigate the day-ahead market for electricity at the EPEX, the largest central European market for electricity. To analyze whether generating companies use their market power to influence prices, we use a conjectural variations...

This paper presents a decision support methodology for electricity market players’ bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provi...

nowadays, congestion management is one of the major tasks accomplished by system operators to warrant the operation of transmission system within operating limits. this has resulted in unanticipated congestion interfaces in regional transmission systems. the system is, however, unable to evolve at a rate which is required to meet the quickly changing demand of competitive markets. to make the m...

in trading electrical energy in deregulated power systems, violation of operation constraints such as transmission lines flow limits is possible. these conditions have been called “congestion”. one of the most important responsibility of independent system operator (iso) is congestion management in a manner that all the system equipments be operated in their nominal ranges. in this paper, usi...

this paper proposes a stochastic framework for demand response (dr) aggregator to procure dr from customers and sell it to purchasers in the wholesale electricity market. the aggregator assigns fixed dr contracts with customers based on three different load reduction strategies. in the presented problem the uncertainty of market price is considered and the risk of aggregator participation is ma...

This paper proposes a stochastic framework for demand response (DR) aggregator to procure DR from customers and sell it to purchasers in the wholesale electricity market. The aggregator assigns fixed DR contracts with customers based on three different load reduction strategies. In the presented problem the uncertainty of market price is considered and the risk of aggregator participation is ma...

Accurate and effective electricity price forecasting is critical to market participants in order to make an appropriate risk management in competitive electricity markets. Market participants rely on price forecasts to decide on their bidding strategies, allocate assets and plan facility investments. However, due to its time variant behavior and non-linear and non-stationary nature, electricity...

in this paper, first, a new criterion, titled “surplus percent of the customers” is defined for static transmission expansion planning in restructured power systems. then by a simple example, the new criterion is compared with some already presented market-based criteria and it is shown that the new criterion can realistically evaluate the transmission network expansion from the market view. in...

Assessment of the electricity market shows that, electricity market data can be considered "big data". this data has been analyzed by both conventional and modern data mining methods. The predicted variables of supply and demand are considered to be the input of a defined multi-objective for predicting electricity price, which is the result of the defined model. This shows the advantage of appl...

a r t i c l e i n f o Keywords: Electricity market integration in Europe Market coupling Time-varying price convergence Fractional cointegration This study extends existing literature on the assessment of electricity market integration in Europe, by developing and testing hypotheses on the convergence of electricity wholesale prices, and adopting a time-varying fractional cointegration analysis...