In the context of smart grid, development of micro-grid endows itself with demand response (DR) character. Current price-based DR model based on elasticity price theory is not effective in evaluating the active game behavior between micro-grid and the power supply company. To this end, this paper proposes price-based DR model of micro-grid and optimal pricing strategy based on Stackelberg game. Cost and consumption comfort level are together considered to build benefit function of micro-grid based on fuzzy satisfaction-maximizing method. Then price-based DR and optimal pricing model are proposed based on 1-n Stackelberg game, and solved by genetic algorithm (GA) based backward induction. The simulation obtains the Stackelberg game balance point of the model of power supply company and three different micro-grids. Corresponding pricing strategy and micro-grid’s response characteristics are analyzed, proving the feasibility of the proposed method, and providing theoretical reference for prediction and estimation of micro-grid’s response characteristic to help the power supply company scientifically optimize electricity price. This work is supported by National Natural Science Foundation of China (No. 51277015) and Education Department Innovation Platform Open Foundation of Hunan Province (No. 54291).