Industrial electricity demand is growing rapidly, whereby, energy consumption modeling and optimization techniques in industries has attracted significant attention in recent years. In this paper, a new model of energy consumption in the production process of aluminum, steel and cement is presented in accordance with a linear piece-wise approximation (LPWA) method. The proposed model is subsequently implemented in the day ahead energy management scheduling of a Microgrid (MG) (involving industrial factories). In order to increase efficiency and give industries an opportunity to contribute in the energy and ancillary services markets, demand response (DR) programs are implemented. The proposed scheduling model considers all the constraints of industrial factories and the MG to maximize their revenue. The performance of the proposed model is evaluated using three case studies. The first and second case studies respectively investigate the effectiveness of the proposed model with and without the implementation of DR programs. In the third case study, the coordination between industrial factories and a MG is investigated. Finally, the results show that the implementation of DR programs and participation of industrial factories in the energy and ancillary services markets, have improved the demand curve, hence increasing the revenue of the MG and industrial factories.

工业用电需求迅速增长，因此，近年来工业中的能耗建模和优化技术引起了极大的关注。本文采用线性分段近似（LPWA）方法，提出了铝，钢和水泥生产过程中能耗的新模型。随后，在微电网（MG）（涉及工厂）的能源管理日程安排中实施了建议的模型。为了提高效率并使行业有机会在能源和辅助服务市场上做出贡献，实施了需求响应（DR）计划。拟议的调度模型考虑了工业工厂和MG的所有约束，以最大化其收入。使用三个案例研究评估了所提出模型的性能。第一个案例和第二个案例研究分别研究了有无DR项目实施情况下提出的模型的有效性。在第三个案例研究中，研究了工业工厂和MG之间的协调。最后，结果表明，DR计划的实施以及工业工厂在能源和辅助服务市场的参与，改善了需求曲线，从而增加了MG和工业工厂的收入。