Abstract: The economic operation of the microgrid is a multi-objective and multi-constraint problem.The traditional method is to transform the multi-objective problem onto a single-objective problem,which often difficultly converges and has a stronger subjectivity in the selection of weights.In this paper,a multi-objective solving strategy is proposed via multi-agent technology.By considering the whole economy of the microgrid,this paper establishes the generation target agent (PowerAgent) and the demand side agent (LoadAgent),respectively,so as to avoid the choice of the weights.Moreover,the virtual electricity price information is introduced as the negotiation parameter of the generating side agent and the load scheduling information is the negotiating parameter of the demand side agent.By utilizing the agent communication function in JADE platform,the target agents communicate the negotiation parameters each other,optimizes every subtarget problem and achieves the goal balance via iterative negotiates.The above negotiation process guarantees the overall economic requirements of the microgrid such that the two sub-targets can attain quickly convergence by distributedly solving the target agent.Finally,an example is given to illustrate the feasibility of the proposed method.