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作 者:王智[1] 蔡文奎 孟金祥 吴雨筱 吴迪[1] WANG Zhi;CAI Wenkui;MENG Jinziang;WU Yuxiao;WU Di(School of Energy,Power and Mechanical Engineering,North China Electric Power University,Baoding 071000,Hebei Province,China)
机构地区:[1]华北电力大学能源动力与机械工程学院,河北保定071000
出 处:《动力工程学报》2023年第7期930-940,共11页Journal of Chinese Society of Power Engineering
基 金:北京市自然科学基金资助项目(3224069);国家重点研发计划资助项目(2019YFE0193100)。
摘 要:为解决冷热电联供系统源荷供需能量匹配性差异显著的问题,提出三阶段混合时间尺度滚动优化方法。日前阶段以日运行成本最低为优化目标,综合考虑CO_(2)、SO_(2)和NO_(x)的处理成本,制定逐时计划;日内阶段根据冷热电相关设备的响应差异,建立了冷热和电能分时间尺度的双层优化模型;实时电反馈优化以电设备功率调整量最小为目标;最终得到各设备的最佳出力计划。结果表明:三阶段混合时间尺度滚动优化方法能够有效平抑负荷和可再生能源出力波动,各设备功率波动率均处于较低水平;不同典型日下的日运行成本比日前成本均有所降低,冬季、过渡季和夏季典型日的成本节约率分别为0.99%、1.10%和2.01%。To solve the problem of significant difference in energy matching between supply and demand in combined cooling heating and power system,a three-stage hybrid time scale rolling optimization method was proposed.In the day-ahead stage,the lowest daily operation cost was taken as the optimization objective,the treatment costs of CO_(2),SO_(2)and NO_(x)were considered and the hourly plan was formulated.According to the response speed difference of cooling,heating and power related equipment,a bi-level optimization model of time-scale decomposition was established at intra-day stage.The optimization objective was selected as the minimum power adjustment of electrical equipment in real-time electrical feedback optimization and the best output plan for each device was obtained.Results show that the three-stage hybrid time scale rolling optimization method can effectively suppress the fluctuation of load and renewable energy output,and the power fluctuation rate of each equipment is at a low level;the daily operating costs of different typical days are lower than the day-ahead costs,and the cost-saving rate of typical days in winter,transition season and summer are 0.99%,1.10% and 2.01%,respectively.
分 类 号:TK019[动力工程及工程热物理]
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