基于虚拟储能的楼宇微电网综合能源优化研究

COMPREHENSIVE ENERGY OPTIMIZATION RESEARCH FOR BUILDING MICROGRIDS BASED ON VIRTUAL ENERGY STORAGE

针对目前微电网系统的多能互补耦合问题,提出一种含虚拟储能的楼宇微电网优化新方法。首先由热平衡方程与人体舒适温度范围构建楼宇虚拟储能模型;其次建立引入虚拟储能模型的楼宇微电网结构,在人体舒适温度范围内对楼宇室温进行制冷/制热,完成虚拟储能的充放冷/热能管理,同时引入需求响应机制优化管理用户用能习惯;最后选用冬季和夏季两种典型气候场景为例,对独立的小工业厂房分别进行含和不含虚拟储能的微电网运行研究分析,以系统日综合运行成本最小为目标,使用改进的金鹰算法优化求解模型。仿真结果表明所提出的新型方法能降低系统的运行成本。

Addressing the issue of multi-energy complementarity in current microgrid systems,a new optimization method for building microgrids with virtual energy storage is proposed.Firstly,a building virtual energy storage model is constructed based on the heat balance equation and the human comfort temperature range.Secondly,a building microgrid structure that incorporates the virtual energy storage model is established.It regulates indoor temperatures within the human comfort temperature range by providing cooling or heating,manages the charge and discharge of virtual energy storage,and introduces demand response mechanisms to optimize user energy consumption habits.Finally,two typical climate scenarios,winter and summer,are used as examples to conduct research and analysis on the operation of independent small industrial facilities with and without virtual energy storage in microgrids.The objective is to minimize the daily comprehensive operating cost of the system,using an improved Golden Eagle algorithm to optimize the solution.Simulation results show that the proposed new method can reduce the operating cost of the system.