中文摘要：

针对分布式发电（ DG）系统调度的经济成本和环境成本，提出了一种新的改进差分进化算法。首先对建筑物DG系统进行优化设计，在考虑建筑中电能和热能需求以及分布式发电技术特性的基础上，确定技术最优组合、容量和运营计划；其次，针对DG调度中存在的整数规划限制及非线性等式约束问题，提出了改进的差分进化算法来解决混合整数非线性规划（ MINLP）问题，对所设计的DG系统进行经济和环境成本的最小化调度，并与传统方法进行比较。结果表明，文中所提出的方法在经济性和收敛时间上都明显优于传统算法。研究结果可以应用于同时包含发电、供热、储电、储热的完善的分布式发电系统，可为分布式发电系统商业部门的运营提供参考。

英文摘要：

Aiming at the economic cost and environmental cost of system scheduling for distributed generation （ DG） , this paper proposes an improved differential evolution algorithm.First, the DG system of buildings is optimally designed.Based on the electric and thermal demand of buildings and the technical characteristic of DG, the optimal combination, capacity and operation plan of the technologies are confirmed.Second, aiming at the problem of integer programming limitation and no linear equality constraint in DG scheduling, the improved differential evolution algorithm is proposed to solve the problem of mixed integer nonlinear programming （ MINLP） for DG scheduling of mini-mized economic and environmental cost.The algorithm is compared with the traditional ones.The results show that the economical efficiency and convergence time of the new algorithm are both better than the traditional one.The proposed algorithm can be used in DG system which includes power generation, heat supplying, electricity storage, and heat accumulation simultaneously.The research result can also be used as operation reference for commercial departments of DG.