| Bidding strategy is a new problem emerged in electricity market. Under traditional electric power industry, there is no bidding strategy problem, and the all task for power plant is to supply power according to the dispatching schedule released by the electric grid dispatcher. In electricity market, as a company entity, the most important thing for power supplier is to construct optimum bidding strategies to maximize its profits. However, from the aspect of market regulator, if there exit effective bidding strategies make the power supplier have ability to control the electricity price, then it shows that the structure and rules of electricity market are defective. So the regulator should take proper measures to control the supplier's speculative. From the two aspects of supplier and market regulator, bidding strategies are researched and discussed in this paper. Pricing method is one of the most important factors that may influence the bidding behavior of power suppliers. This paper introduces the operation flow of uniform and PAB (pay as bid) pricing methods, and analyzes their market characteristics. On the basis of this, recurring to the principle of evolutionary game theory, we propose a method to analyze the supplier's bidding behavior. The bidding behavior of power supplier under the two pricing methods is compared and analyzed. Results are helpful for selecting pricing method. In open access energy market and reserve market, one key issue for a generation company is, according to its practical status and market information, to seek an optimal allocation of reserve generation capacity between energy market and reserve market to maximize the total revenue and minimize the associated risks. Using the portfolio theory for reference, this paper carefully researches the allocation problem of generation capacity between energy market and reserve market. The unique model integrating utility and risk preference is proposed, and the analytical explain is derived. A simple example is presented to check out the validity of the model. Furthermore, we extend the application of portfolio theory in electricity market, and processes and techniques are presented for the market participants to apply the portfolio theory in electricity market. The day-ahead pool market is the base and core of the whole electricity market. So the study of supplier's bidding strategy is of key importance. From the start point of characteristics of generation cost and operation limitation, optimized model of bidding strategies in multi-period bidding are constructed by considering the limitations of unit start & shut and unit ramp rate. Dynamic programming algorithm is used to solve the model addressed above. Results show that the model and method presented in this paper can offer effective and applied bidding strategies for power suppliers. On this basis, this paper probes into the bidding strategy of power supplier in multi-period when rivals'bidding strategies are considered, and proposes the corresponding model. Short-term market clearing price prediction is the base for power supplier's bidding. Aiming at the subjective factors that may influence the price prediction, percent of reserve capacity is adopted to measure the reliability level of the power system. Considering its relation with the electricity price, a new index is proposed to measure the behavior of the participants. Considering time-consuming sample training and convergence problem, based on the characteristic of self-organizing and clustering of Self-Organizing Map (SOM), a data preprocessing method, namely the consistency analysis in the training samples of the BP model is proposed to deal with the sample dataset, which can perform a consistency analysis and processing, and then form a new training dataset. Using the BP network on the new dataset, examples are presented to verify the model and method proposed above. Considering the reform status of electricity market in China, we introduce the history and characteristics of electricity market in China, and analyze the existing problems in regional electricity market. Aiming at the conflict between economic coordination of inter-region and optimized allocation of resources in larger region, a new transaction model is proposed by using the successful experience of Australia national electricity market for reference. In this new model, inter-regional settlement residues auction is constructed to facilitate the trade between regions, and corresponding fund of inter-regional settlement residues is established to improve the operation status of power grid in undeveloped region. Finally, some suggestions are proposed for the reform of China's regional electricity market.
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