考虑可再生能源不确定性的热-电耦合微能源系统多目标鲁棒规划方法  

A Multi-objective Robust Planning Method for Thermal-Electrical CouplingMicro-energy System Considering the Uncertainty of Renewable Energy

作　　者：张敏 王金浩 常潇 杨超颖[2] 李冉 孙昌雯 樊瑞 ZHANG Min;WANG Jinhao;CHANG Xiao;YANG Chaoying;LI Ran;SUN Changwen;FAN Rui(State Grid Shanxi Electric Power Research Institute,Taiyuan 030001,China;State Grid Shanxi Electric Power Company,Taiyuan 030021,China)

机构地区：[1]国网山西省电力公司电力科学研究院,山西太原030001 [2]国网山西省电力公司,山西太原030021

出　　处：《中国电力》2021年第4期119-129,140,共12页Electric Power

基　　金：国家社会科学基金重大项目(19ZDA081);国网山西省电力公司科技项目(52053018000P)。

摘　　要：由于可再生能源出力具有高度随机性和间歇性,其大规模并网会严重影响电力系统的安全稳定运行。为促进可再生能源消纳,可通过大力发展热-电耦合微能源系统解决此问题。为此,提出一种考虑风电不确定性的热-电耦合微能源系统多目标鲁棒规划方法。以投资运行成本最小及系统峰谷波动最小为目标,构建热-电耦合微型综合能源系统多目标鲁棒规划模型。采用NSGA-Ⅱ和TOPSIS相结合的求解算法实现多目标问题求解。仿真结果表明,该方法可以提高风电利用率和系统经济性,对于工程应用有一定的参考价值。Due to the high randomness and intermittency of renewable energy, the large-scale connection of renewable energy to the power grid will seriously affect the security and stability of the power system. This problem can be solved by developing thermoelectrical coupling micro-energy systems. A multi-objective robust planning method is therefore proposed for thermo-electrical coupling micro-energy system with consideration of wind power uncertainty. With the minimum investment & operation cost and minimum system peak-valley fluctuation as the goal, a multi-objective robust planning model is established for thermo-electrical coupling micro integrated energy system. The multi-objective problem is solved using the combined NSGA-Ⅱ and TOPSIS algorithm. The simulation results show that the proposed method can improve the utilization rate of wind power and increase the system economy, and has a certain value for engineering applications.

关 键 词：热-电耦合微能源系统 不确定性 多目标优化 鲁棒规划 

分 类 号：TM715[电气工程—电力系统及自动化]