In recent years, competitive changes and pressure on business environment have increased importance of competitive fields. Competitive intelligence is one of the commercial tools available in this field. It extracts helpful information from competitive environment and, after accurate analysis, generates effective strategies for the organization. High speed of changes, uncertainty, complexity an...

This paper represents a complete survey on Generation Companies’ (GenCos’) optimal bidding strategy problem in restructured power markets. In this regard after an introduction to competitive electricity markets, concept of optimal bidding strategy is presented. Considering large amount of works accomplished in this area a novel classification is implemented in order to categorize the existing d...

microgrids are small-scale, low voltage (lv) power networks which employ renewable distribution energy resources (ders) with power electronic interfaces (peis). microgrids as single controlled units and active distribution networks require flexible control systems to ensure reliable and secure operation in different modes. these various operations of microgrid cause variations in voltage and fr...

This paper reports the results of a series of posted-offer experiments designed to examine the effects of static market power on prices, when other factors such as excess supply, the number of sellers, and dynamic incentives are held constant. Static market power results in a dramatic price increase in posted-offer triopolies with complete demand information. The effects of market power are not...

To provide the basis for clean and affordable energy in a competitive market is the reason why integrated gasification combined cycle (IGCC) technology is currently being developed further, while the existing IGCC prototype plants have the task of proving what is technically achievable. This contribution reports interim results of a comprehensive ongoing development potential study funded by th...

Testing the performance of electricity markets using POWERWEB has already shown that relatively inexperienced players can identify and exploit market power in load pockets. When transmission constraints are not binding, however, auctions with six players have been shown to be efficient. There is evidence from operating electricity markets that prices can be driven above competitive levels when ...

This paper examines a variety of issues relating to the analog hardware implementation of the soft competitive neural learning algorithm and its suitability for use in data compression applications. Specifically, we investigate the impact of realizing the theoretical learning algorithm in imperfect analog structures constructed in a traditional CMOS fabrication process. Empirical measurements o...

It is generally thought that competitive equilibrium in sports leagues involves too little competitive balance (the strong dominate the weak too mucha more even contest would be more attractive). However, it is possible to sow in a standard logit contest model that the reverse is true – the strong do not win “enough”i.e. more wins by the strong team would increase attendance or revenues. This i...

A framework for analyzing competitive electric power systems has been developed. A model and simulation based upon the framework, as well as applications and extensions, are presented. The applications include an analysis of the potential gains from trade of a large-scale synchronous interconnection between the Electric Reliability Council of Texas (ERCOT) and the Southwest Power Pool and a stu...

In the ̄rst year of the deregulated California electricity market, a number of issues have arisen that relate to the competitiveness of the wholesale electricity market in the state. There have been lively debates over the need for price caps in the California Power Exchange (PX) day-ahead market and the California Independent System Operator's (ISO) real-time and ancillary services markets. The...