摘要
为平抑电源侧和负荷侧双重不确定性给电力系统运行带来的威胁,将风电机组、光伏机组、燃气轮机、电锅炉等集成多能互补系统以解决这一难题,建立同时满足系统经济效益和环境效益的多目标优化调度模型。针对电源侧不确定性引入鲁棒随机优化理论,用约束条件的边界刻画不确定性因素;负荷侧采用需求侧响应技术调节不确定性波动。多目标函数求解借助嵌套的模糊隶属度函数,最后选取6-节点能源集线器展开分析。结果表明上述方法可以有效降低系统不确定性,同时兼顾系统经济性和环境目标。
In order to suppress the threat to the power system operation caused by the double uncertainty of power supply side and load side, this paper integrates wind turbine, photovoltaic unit, gas turbine and electric boiler into a multi-energy complementary system to solve this problem, and establishes a multi-objective optimal scheduling model that meets the economic benefits and carbon emissions of the system at the same time. Aiming at the uncertainty of power supply side, the robust stochastic optimization theory is introduced, and the uncertain factors are described by the boundary of constraints. The load side is regulated the uncertain fluctuation by demand side response technology. The multi-objective function is solved by means of nested fuzzy membership function. Finally, 6-node energy hub is selected for analysis. The results show that the above methods can effectively reduce the system uncertainty and take into account the system economy and environmental protection objectives.
作者
宋雪莹
陈杰
刁利
谭忠富
李伯婧
Song Xueying;Chen Jie;Diao Li;Tan Zhongfu;Li Bojing(State Nuclear Electric Power Planning,Design&Research Institute Co.,Lid.,Beijing 100095,China;North China Electric Power University,Beijing 102206,China;Inner Mongolia RADIO&TV University,Hohhot 010041,China)
出处
《电测与仪表》
北大核心
2021年第11期8-15,共8页
Electrical Measurement & Instrumentation
基金
国家自然科学基金资助项目(72174062)
基于不同评价方法的综合智慧能源投资决策研究(100-KY2021-QYZ-A37)。
关键词
多能互补
不确定性
需求响应
多目标
multi-energy complementary system
uncertainty
demand response
multiple objectives
