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

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.