基于能源集线器模型的园区混合能源系统日前优化调度方法

摘要

分布式发电和冷热电联供系统在用户侧的集成可构成一个典型多能源园区混合能源系统,可实现包括电能、太阳能、天然气等能源输入,以及电能、热能以及冷能等能源输出形式,可有效提升能源的综合利用效率,降低用户综合用能成本.本文以一个电力与天然气构成的多能源园区混合能源系统为研究对象,对园区混合能源系统中多能源混合资源进行日前优化调度,以降低园区混合能源系统用能成本.首先构建了多能源园区混合能源系统模型;进而,给出了基于能源集线器的多能源园区混合能源系统日前优化调度方法;最后以一个典型的电力与天然气多能源园区混合能源系统为例验证了本文调度方法的有效性.%A typical hybrid energy park(HEP)is composed of distributed generations(DGs)and combined cooling, heating and power(CCHP)system on the demand side,and it can realize input energies( e.g.,electric power,photo?voltaic power,natural gas)and output energies(e.g.,electric power,heat and cooling),thus significantly improving the energy utilization efficiency and reducing the cost of consumers. In this paper,with an HEP composed of electric power and natural gas as research object ,multi-energy resources are processed by optimal day-ahead scheduling (ODS)method to reduce the energy cost of HEP. First,an HEP model is established. Then,an ODS method is given based on energy hubs. At last,the effectiveness of the proposed method is verified by a typical HEP.