Extended Summary 正文参见 -8 S1 Economic Generation Scheduling of a Microgrid Using Mixed Integer Linear Programming WU Xiong, WANG Xiuli, WANG Jianxue, BIE Zhaohong (Xi’an Jiaotong University) KEY WORDS: microgrid; economic scheduling; mixed-intege r programming; linearizing; ic algorithm The operation of a microgr id with more than two distributed generator (DG) units, especially in an autonomous mode, requires a centralized control system called the microgrid energy management system (MEMS), which is responsible for the optimization of the microgrid operation, and can help make power set points, start-up and shut-down decisions for each unit and load control signals for the demand side. The optimal generation scheduling is one of the important functions of the MEMS. To solve the problem, it is necessary to develop a fast and accurate method for making a short-term scheduling scheme for the microgrid. In this paper, an economic generation scheduling model of a microgrid is proposed with consideration of the operational and economical characteristics of DGs, the charge/discharge feature of energy storage devices and the system constraints of the periodical behavior. The generation scheme can not only provide power output points for DGs, but also give the start-up and shut-down decisions for each unit which were seldom considered in previous researches. The objective function is as follows: CG CG buy grid 11 1 min ( ( ( )) ( )) ( ) ( ) TN T ii ti t TC P t Cs t T P t C t == = Δ++Δ+ ∑∑ ∑ CG bat bat 11 () | ()| TN ii ti KPtTKPtT == Δ+ Δ∑∑ (1) Such a model describes a discrete and nonlinear optimization problem. Based on the mixed integer linear programming (MILP) technique, this paper develops a MILP method to solve the problem. The key to convert the optimization problem into a MILP problem is to piecewise linearize the nonlinear functions. Supposing that the generation cost characteristic