Impact of orderly energy consumption on coordinated optimization between industrial microgrid and power grid

The integration of renewable energy sources into industrial microgrids, coupled with the re-electrification of industrial loads, is crucial for decarbonizing industrial processes. However, the intermittent nature of new energy sources and the growing electricity demand present challenges to power grid stability. Addressing this, the concept of orderly energy consumption (coordinated load management) offers a structured approach to managing industrial loads and aligning microgrid operations with grid requirements. This study’s primary contribution is an in-depth evaluation of orderly energy consumption’s impacts on both microgrid economy and power grid interests, achieved through a coordinated optimization framework that incorporates an industrial load classification model. Using Pareto front analysis on an actual case, the proposed strategy demonstrates a cost reduction of up to 36.7 % and improves the trade-off between objectives by 3.5 % and 7.8 %. Additionally, the proposed strategy cuts storage capacity requirements by 42.6 %; even with today’s low storage costs, cost optimization drives the optimal capacity and demand to almost zero. The study also compares various time-matching requirements and contrasts the proposed strategy with conventional rule-based load management. Monthly and daily matching requirements show significant improvements, with comparable loss rates of 13.98 % and 14.17 %, while hourly matching and rule-based strategies perform worse, with loss rates of 24.1 % and 25.59 %. Overall, this study highlights the importance of holistic optimization over singular parameter approaches and provides a superior framework to balance microgrid economics with power grid preference.