文章摘要
胡惊涛,吕飞春,张文涛,胡 东,武 旭.基于条件风险价值的综合能源系统日前-日内两阶段调度模型[J].电力需求侧管理,2023,25(2):43-49
基于条件风险价值的综合能源系统日前-日内两阶段调度模型
A conditional value-at-risk based two stage day-ahead dispatch model for integrated energy systems
投稿时间:2022-10-27  修订日期:2022-12-01
DOI:10.3969/j.issn.1009-1831.2023.02.007
中文关键词: 综合能源系统  条件风险价值  调度策略  两阶段优化  冷热电联供  场景法
英文关键词: integrated energy system  conditional value at risk  scheduling strategy  two stage optimization  CCHP  scene method
基金项目:国家电网有限公司科技项目(5218C12230UC)
作者单位
胡惊涛 国网江西省电力有限公司 余干县供电分公司江西 上饶 335100 
吕飞春 国网江西省电力有限公司 余干县供电分公司江西 上饶 335100 
张文涛 国网江西省电力有限公司 余干县供电分公司江西 上饶 335100 
胡 东 国网江西省电力有限公司 余干县供电分公司江西 上饶 335100 
武 旭 兰州交通大学自动化与电气工程学院兰州 730070 
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中文摘要:
      冷热电联供型综合能源微网(combined cooling heating and power micgrid,CCHP-MG)的普及和应用对提高能源利用效率和实现双碳目标具有重要的意义,但同时其资源聚合的复杂性和不确定性同样给其运行优化带来了挑战。基于此,构建了考虑风光出力不确定性的CCHP-MG日前-日内两阶段调度模型。在日前阶段,以运行成本最低为目标优化综合能源系统各设备运行策略,采用场景法处理风光出力的不确定性,并基于条件风险价值法对系统运行风险进行客观量化;在日内,风光预测值更加精确,以平抑联络线功率偏差为目标调整部分设备出力,在保证经济性的同时,尽可能的保证电网的安全稳定运行。最后,以某综合能源系统为例,验证了所构模型的有效性。
英文摘要:
      CCHP-MG has important application value to improve energy efficiency and achieve the goal of double carbon. At the same time, the complexity and uncertainty of resource aggregation also bring challenges to its operation optimization. Based on this, a two-stage scheduling model of CCHP-MG considering the uncertainty of wind and solar output is constructed. In the day ahead stage, the operation strategy of each equipment of the integrated energy system is optimized with the lowest operation cost as the goal,the scenario method is used to deal with the uncertainty of wind and solar output, and the system operation risk is objectively quantified based on the conditional value at risk method. Within the day, the predicted value of the wind and rain is more accurate, and the output of some equipment is adjusted to stabilize the power deviation of the tie line, so as to ensure the safe and stable operation of the power grid as much as possible while ensuring the economy. Finally, an integrated energy system is taken as an example to verify the effectiveness of the model.
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