Research On Power Market Modes And Analysis In Dynamic Behavior Of Power Market

Many other countries have experienced the electricity industry reform for more than 10years, now they have still been researched and tried to make it better. To a great extent, thesuccess or failure of electricity industry reform depends on the design of the power marketmodes and the relative technicalities. On the other hand, dynamic behavior analysis, whichprovides the basis to determine bidding strategy of generators, manage demand sides andregulate market modes, is very crucial to ensure the security, stabilization and reliablemobilization of both electricity system and electricity market. Consequently, this paperdevoted to the research on the power market modes and dynamic behavior analysis ofpower market. At first, this paper introduces 3 typical power markets——UK power market,California power market and Argentina power market and analyses their successfulexperiences and frustrated lessons; Furthermore, all existent kinds of power market modesare concluded and classified to 4 kinds, then, their correlation is discussed. To scale them,three measures are brought forward. According to these measures, the issues of these kindsof modes are discovered; Finally, based on anterior investigations, this paper, synthesized amodel of reform that was sensitive to the realities of China, which divided the powermarket of our country into two classes: nation-wide and region-wide electricity market, andin this mode, National Grid Company centralizes Transmission Ownership, IndependentSystem Operator, Power Exchange and Power Develop and Devise in one body. Ulteriorly, this paper studies the dynamic behavior of the power market modes,establishes a Cournot dynamic model to model the oligopolies game in 3 regions andresolve this model's balanced roots by exerting unlinearity kinetic discrete dynamic theoryand economic game theory. Based on these, the Nash equilibrium and its stability regionwere analyzed qualitatively; the effect of some market parameters was discussed on itsstability, the market dynamic behaviors were simulated from stability track, periodic tracksto chaotic situation.