大气污染防治下京津冀地区分布式电源优化配置研究

Research on Optimal Allocation of Distributed Generation in Beijing-Tianjin-Hebei Region Under the Background of Air Pollution Prevention and Control

科学地规划发展新能源资源已成为解决京津冀地区雾霾天气的关键,如何优化配置分布式电源是有效开发及利用分布式能源的前提。为解决京津冀地区大气污染问题,梳理京津冀地区分布式电源的发展现状,构建分布式电源优化配置指标,建立目标函数和约束条件,并基于CO-EDO算法对分布式电源进行优化配置。选取京津冀地区某分布式能源示范工程分布式能源系统进行算例分析,结果表明通过对京津冀地区分布式电源进行优化配置,能有效降低冷-热-电三联供(DCCHP)系统的能源投入,实现节能减排。

The proper planning of new energy resources has become a key link to solve haze weather in Beijing-Tianjin-Hebei region.How to optimize the distributed generation is the premise of effective development and utilization of distributed energy resources.In this paper,the development status of distributed generation in Beijing-Tianjin-Hebei region is summarized,which provides the research foundation for the rational allocation of distributed generation.And then,the distributed power optimization allocation index is constructed,the objective function and constraints is established,and the distributed power supply is optimized based on the CO-EDO algorithm.The distributed energy system of a certain energy demonstration project distributed in Beijing-Tianjin-Hebei region is selected for analysis.The results show that by optimizing the distributed power supply in Beijing-Tianjin-Hebei region,the energy input of the distributed combined cooling heating and power(DCCHP)system is effectively reduced,and energy saving and emission reduction are achieved.