Energy Consumption Scheduling of HVAC Considering Weather Forecast Error Through the Distributionally Robust Approach
Energy Consumption Scheduling of HVAC Considering Weather Forecast Error Through the Distributionally Robust Approach
复制标题
DOI：
10.1109/tii.2017.2702009
复制
发表时间：
2018-03-01
影响因子：
12.3
通讯作者：
Smith, J. S.
中科院分区：
文献类型：
--
作者：
Du, Y. F.;Jiang, L.;Smith, J. S.
In this paper, the distributionally robust optimization approach (DROA) is proposed to schedule the energy consumption of the heating, ventilation and air conditioning (HVAC) system with consideration of the weather forecast error. The maximum interval of the outdoor temperature is partitioned into subintervals, and the proposed DROA constructs the ambiguity set of the probability distribution of the outdoor temperature based on the probabilistic information of these subintervals of historical weather data. The actual energy consumption will be adjusted according to the forecast error and the scheduled consumption in real time. The energy consumption scheduling of HVAC through the proposed DROA is formulated as a nonlinear problem with distributionally robust chance constraints. These constraints are reformulated to be linear and then the problem is solved via linear programming. Compared with the method that takes into account the weather forecast error based on the mean and the variance of historical data, simulation results demonstrate that the proposed DROA effectively reduces the electricity cost with less computation time, and the electricity cost is reduced compared with the traditional robust method.
