Simulation data with incomplete information under constraints as compared to price is closer to, but also show that the side Method to derive the expectations of the Cournot-Nash equilibrium solution is desirable. Table 4.3 gives the power plant have two units each, the four cases of Cournot-Nash equilibrium. By Table 4.3 shows the simulation results: ① under incomplete information and are not bound to contribute the smallest unit of the largest cases, the total of all power plant Power than the circumstances to be bound, but lower prices. ② under incomplete information in the unit by the max-min bound to contribute, some units offer enhanced by To be bound by the greatest efforts to improve pricing and reduce efforts to force the output in the Kuhn-Tucker (KT) Point. With incomplete information under non-binding compared to the total output of all power plants has declined, but the price has 上升. ③ under incomplete information in a non-simulation data with incomplete information under constraints as compared to both the Cournot-Nash Solution value is closer to that obtained by the method of expectations Cournot-Nash equilibrium solution is desirable, can be used To guide production. Kunming University of Science and Technology Master's thesis However, Table 4.3 and Table 4.2 as compared to price a variety of situations are significantly increased, while the total power output is Dropped, indicating the power to participate in the less competition, higher electricity prices. 4.6 Summary of this chapter Power plant unit bidding behavior is obviously a game, and in any game, the Nash equilibrium both Between participants in the optimal response for a point of intersection. On the demand side of the electricity market flexibility, this chapter established Non-binding under complete information Cournot model conditions and at the same time given to solve the calculation of the model may A power output expectations Cournot-Nash equilibrium solution, and using the formula of the solution into a curve of unit pricing. Game of the most important information is on the opponent and game strategy to benefit from the information. Benefit is the game Side after the implementation of the outcome of the strategy. However, in most cases, the game's income and can not be determined accurately. Therefore, under incomplete information on the operation of other units of the accuracy of the estimated cost of a very important factor. This chapter gives a certain margin of error in the estimated cost factor, the analysis through an example, the Results with the results of incomplete information is very close to that of the proposed method can be identified as non-fully Information under the power plant unit bidding tool bidding curves.