基于量子算法的电热系统双层优化模型  

Bi-level optimization model for integrated power and heating system based on quantum algorithm

作　　者：邓博夫 张铁岩 回茜 DENG Bo-fu;ZHANG Tie-yan;HUI Qian(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China;Shenyang Ligong University,Shenyang 110159,China;Marketing Service Center,State Grid Liaoning Electric Power Supply Co.Ltd.,Shenyang 110006,China)

机构地区：[1]沈阳工业大学电气工程学院,沈阳110870 [2]沈阳理工大学,沈阳110159 [3]国网辽宁省电力有限公司营销服务中心,沈阳110006

出　　处：《沈阳工业大学学报》2020年第5期493-498,共6页Journal of Shenyang University of Technology

基　　金：国家重点研发计划重点专项(2017YFB0902100).

摘　　要：为了减少弃风弃光等问题并提高能源利用率,提出了一种基于实数量子算法的电热联合系统双层优化模型.利用电力市场中动态电价方式,根据风电日前预测值和电/热负荷预测值,通过电价补偿引导热电联产系统和热泵的行为.采用KKT条件将双层模型转化成单层问题后,提出了一种基于实数量子算法的求解方式,并以6节点电力系统和8节点热力联合系统进行仿真分析.仿真结果表明,所提出方法能有效减少弃风,同时提高电力系统的收益.In order to reduce the wind power and solar energy curtailment and to improve the energy utilization rate,a bi-level optimization model for integrated power and heating system based on realcoding quantum algorithm was proposed.Through adopting the dynamic electricity price mode as well as according to the forecasted day-ahead wind power values and the forecasted electrical and heat loading values,the behaviors of integrated power and heating system and heat pumps were guided by the electricity price compensation.The bi-level model was converted into a single level propblem by using KKT conditions,and a solution mode based on the realcoding quantum algorithm was proposed.In addition,the simulation analysis was conducted for the integrated system composed of six-node power system and eight-node heating system.The simulation results show that the as-proposed model can effectively reduce wind power curtailment and increase the profit of power system.

关 键 词：实数编码量子算法 电热联合系统 KKT条件 弃风 双层优化 潮流计算 灵活性 电价 

分 类 号：TM715[电气工程—电力系统及自动化]