Considering the floatability and uncertainties of Carbon Trade, this paper proposed a under Carbon Trade model called a two-stage inexact-stochastic programming (TISP) which was structured on the basis of Carbon emissions permits and the technologies and costs of carbon emission reduction. Then the balance of net benefit and CO₂ emission permit of the system was sought through the optimization model. The paper showed the result about a significant index called μ. Firstly, when the model defined μ=40%, net system benefit achieved optimal and the benefit was higher under carbon trading than that under non-trading. Secondly, when the model defined μ<40%, the carbon reduction requirements of the coal-fired power plants could be met only by capture and storage (CS) reduction technology under the conditions of carbon trading or both the CS and chemical absorption (CA) reduction technology under the conditions of non-trading. Lastly, when the model defined μ>40%, all of the three power plants must develop the CA reduction technology processing on the premise of guaranteeing the CS technology. In a word, Carbon Trade would not only contribute to rationally allocating carbon reduction technologies but also help to establish a new trading markets including energy-use specification, carbon-emission criterion and pollutant-emission restriction. The final aim was to make the target of the carbon dioxide reduction come true as early as possible.