The paper adopts the Conjectural Variation model for investigating firms’ strategic behaviors in the wholesale electricity market. The aim of the proposed approach is providing market actors with a tool able to simulate the oligopolistic market models. The tool, utilized by a Generating Company (GenCo), permits to foresee the rivals’ behaviors and builds the suitable supply bid curve for its ow...

All the internet services available these days are dependant and running in data centers. Companies like Google, Facebook, and Microsoft hosts millions of servers in their data centers to provide services to their users [19]. The enormous size of data centers leads to huge energy consumption. According to a news article, Google drew 260 MW of power in 2011 [6] that cost millions of dollars. Rec...

The technical feasibility of a power generation dispatch in competitive electricity markets consists of not having any overloaded equipment, not only in case of normal operating condition, but also when any contingency established in the security criteria occurs. In addition, bus voltages should be within their limits. This paper describes an optimization method to analyze and solve the transmi...

in this paper, the concept of conjectural variation (cv) is used to specify optimal generation decision for generation companies (gencos). the conjecture of genco is defined as its belief or expectation about the reaction of rivals to change of its output. using cv method, each genco has to learn and estimate strategic behaviors of other competitors from available historical market operation da...

In this paper, we conduct numerical experiments based upon the oligopolistic model of electricity market proposed in [1]-[2] and applied to the German electricity market. Presently, the German electricity market is shaped by strategic behavior of energy firms so that a perfect competition market has not been reached as yet. An oligopolistic market structure emerges from the analysis and is char...

The growth and expansion of economic concepts in the power system is increasing in last years. Energy economists have considered the optimal decision-making of electricity market retailers in recent years. In this paper, a demand response program based model is pro-posed in order to make the optimal decision of the retailer in the electricity market, taking into account the different conditions...

The increase in PV capacities mainly in Germany had in 2011 on some days significant impacts on spot market prices at the German electricity exchange. The core objective of this paper is to investigate the possible effects of a further uptake of PV on the prices in the EU-4 (German-French-Austrian-Swiss) electricity market. We analyse two major effects: (i) the direct impact of PV at specific t...

Electricity spot prices in the emerging power markets are volatile, a consequence of the unique physical attributes of electricity production and distribution. Uncontrolled exposure to market price risks can lead to devastating consequences for market participants in the restructured electricity industry. Lessons learned from the financial markets suggest that financial derivatives, when well u...

Power system reliability has been a widespread concern. With the continuous development of the electricity market, there has been a serious conflict, which between social obligations and necessary requirement. The so-called social obligation is that the power industry must ensure the power system operation reliability; the so-called necessary requirement is that the power industry must solve th...

Main challenges within the energy system of tomorrow are more volatile, less controllable and at the same time more decentralized electricity generation. Furthermore, the increasing research and development activities on electric vehicles (EV) make a significant share of electric vehicles within the passenger car fleet in 2030 more and more likely. This will lead to a further increase of power ...