Demand response (DR) programs are regarded as one of the most reliable and reasonable methods to benefit electricity suppliers and consumers. This paper presents a modified approach to DR based on an Interactive Time-of-Use (ITOU) model by which volunteer industrial customers and their electricity suppliers obtain the best possible performance. Owing to this aim, when studying the region's electrical load profile to determine the peak-hours, the one-year production and sales profile of industrial customers is also studied to select off-peak hours for industrial subscribers. The results of program implementation for the selected and volunteer industrial customers at the sub-transmission level are presented to evaluate the performance of the proposed model. Considering the electricity bills of the subscribers in the program based on reduced energy consumption at peak hours (selected by the utility), and increased energy consumption at the off-peak price (selected by industrial customers), the economic benefits to industrial customers are calculated and verified. Plotting new load curves confirms load shifting from the peak to the valley of the load curve. The obtained results of the conventional TOU and ITOU models indicate that the proposed ITOU is more effective in achieving program goals.

需求响应（DR）计划被认为是使电力供应商和消费者受益的最可靠，最合理的方法之一。本文提出了一种基于交互式使用时间（ITOU）模型的DR修改方法，通过该模型，志愿工业客户及其电力供应商可以获得最佳性能。由于这个目的，在研究该地区的电力负荷曲线以确定高峰时间时，还研究了工业客户的一年生产和销售曲线，以便为工业用户选择非高峰时间。提出了针对子传输级别的选定和自愿工业客户的计划实施结果，以评估所提出模型的性能。考虑到计划中订户的电费是基于高峰时段减少的能耗（由公用事业部门选择）和非高峰价格增加的能耗（由工业客户选择），计算出工业客户的经济利益并验证。绘制新的负载曲线可以确认负载从负载曲线的峰值移动到谷底。传统的TOU和ITOU模型获得的结果表明，提出的ITOU在实现计划目标方面更为有效。