基于机会约束规划的家庭用电设备负荷优化调度方法

Optimal load dispatching method based on chance-constrained programming for household electrical equipment

为了解决家庭负荷优化调度中的不确定性参数问题,以非侵入负荷监测数据为基础,提出一种基于机会约束规划的家庭用电设备负荷优化调度方法。该方法采用机会约束规划方法构建了一个包含多种随机变量的优化调度模型,并结合随机模拟技术与粒子群优化算法求解决策结果。设置不同的置信水平和时变温度约束区间反映用户对约束违背容忍度与用户多样化舒适区间的选择,并讨论了两者对调度结果的影响。算例仿真结果表明,所提模型能够在随机变量扰动下为用户提供一个具有良好鲁棒性的零容忍度方案;用户也可通过损失一定的舒适度和调整温度约束区间换取经济而多样化的用电决策。

In order to solve the problem of uncertain parameters in the optimal dispatching of nousenold loads, a chance-constrained programming based optimal load dispatching method for household electrical equipment is pro-posed ,which is based on the non-intrusive load monitoring data. An optimal dispatching model containing various stochastic variables is established by applying the chance-constrained programming method, which is solved by the combination of stochastic simulation technology and particle swarm optimization algorithm. Different confidence levels and time-varying temperature constraints are set to reflect the users＇tolerable degree for the violation of constraints and the choice of diverse comfort temperature intervals, and their influences on the dispatching results are discussed. Simulative results show that the proposed model can offer users a zero-tolerance scheme with good robustness under the disturbance of random variables, and the economic and diversified power consumption decision-makings are available for users by losing a certain degree of comfortand adjusting the temperature constraints.